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post-doc opportunities
by Gary Green 23 Nov '15

23 Nov '15

Job Summary: Postdoctoral Fellow-PhD position available Program Summary: • Interdisciplinary postdoctoral fellowship program in translational aspects of genetics, imaging and psychiatry. Program goals are to create and analyze a large database of psychiatry patients and controls studied with imaging and genetics. • We use multimodal MRI (reward-related task, resting state functional connectivity, DTI, volumetry) to study psychiatric disease. This position is partially funded by The Menninger Clinic, a large psychiatric clinic in Houston, Texas. We have access to a large and varied population of psychiatric patients. Our long term goal is to develop biomarkers of psychiatric illness. Qualifications: • Ph.D. degree in a basic sciences or equivalent, and human brain imaging experience (AFNI, SPM, FSL, etc) is required. To apply for this opportunity please visit https://chk.tbe.taleo.net/chk03/ats/careers/requisition.jsp?org=BCM&cws=1&r… Baylor College of Medicine is an Equal Opportunity, Affirmative Action, and Equal Access Employer =========================== A research-fellow post is available at the Integrative Brain Imaging Center, National Center of Neurology and Psychiatry. We are looking for a candidate with expertise in PET, SPECT, MRI image analysis and with a strong publication record. You are expected to take a lead or co-author role in publishing existing datasets within the lab, as well as acquiring new data, data analysis and novel algorithm development. Your responsibilities will include: Analysis of behavioral and neuroimaging data Presentations at national and international meetings Manuscript preparation for publication Required skills: A doctoral degree and publication record in cognitive science, neuroscience, computer science or related field An independent, target-driven attitude Matlab or Python or C++ programming skills At least 6 month experience of living abroad Background in statistics Experience with FSL, SPM, conn, AFNI, R, SPSS Fluency in English – written and oral Japanese is not necessary, but beneficial About the post: One year contract, extensible up to 3 years Salary is based on a per hour basis: 1 hour = 2510 yen (in case of medical license holder 2800 yen). Additionally, travel allowance and other bonuses are offered. Working hours: up to 31 hours/week Social insurance, unemployment insurance, accident insurance are covered by the Center The dorm room is available for singles To apply, please send the following documents: CV (with picture) List of publications and international conferences attended Summary of major research achievements and future research objectives (up to 400 words) Reference from your direct supervisor or your current workplace (reference should be addressed to the President of National Center of Neurology and Psychiatry) For more details on the Center, please go to: http://www.ncnp.go.jp/ibic/english/index.html Full details can be found here (Japanese only): http://www.ncnp.go.jp/recruit/ Interested parties should email all necessary papers to matsudah(a)ncnp.go.jp 宜しくお願い致します。 Sincerely, Jarek Rokicki, Ph.D. Integrative Brain Imaging Center (IBIC) National Center of Neurology and Psychiatry (NCNP) 4-1-1 Ogawahigashi-chyo, Kodaira, Tokyo 187-8551 Japan TEL: +81-80-6628-5709 ==================================== Postdoctoral Fellow in Multivariate Analysis, Machine Learning and Classification Job description: Computation functional anatomy laboratory at National University of Singapore focuses on the development of medical image analysis methods, including image segmentation, registration approaches, multivariate statistical analysis, machine learning, and classification algorithms. Our group is particularly working on multi-modal magnetic resonance imaging of the brain and derives mathematical/statistical models for characterizing variations of the brain anatomy and function and their associations with clinical phenotypes and/or genetics. We are seeking for research fellows who are interested in developing and employing data mining approaches for understanding high dimensional brain image and/or genetic data. The candidate with experience on high dimensional data or 3D image analysis will be seriously considered. Requirements: · Ph. D on computer vision, statistics, electrical engineering, or biomedical engineering · Good communication and writing skills in English language If you are interested in the jobs listed above, please send your CV to Associate Prof. Anqi QIU Department of Biomedical Engineering National University of Singapore Email: bieqa(a)nus.edu.sg Phone: +(65) 6516 7002 Postdoctoral Fellow Position on Imaging Genetics of Infants Job description: Computation functional anatomy laboratory at National University of Singapore (http://www.bioeng.nus.edu.sg/cfa) focuses on brain and cognition studies using neuroimaging techniques. Our group is leading a large-scale longitudinal neurodevelopmental project from birth onwards in Singapore. The project examines neurocognition using EEG and eye trackers, brain development using diffusion tensor imaging (DTI), resting-state fMRI, and structural MRI, genetic and epigenetic influences on cognition and brain. Thus far, we have collected both functional and anatomical imaging as well as genetic and epigenetic data of 200 newborns and their follow-up at six months. The follow-up scanning at 4, 6, and 8 years will start soon. We are looking for a research fellow who is interested in developing and (or) employing pattern recognition approaches to understand the relationship of the brain with psychopathology in early life and how environmental factors and genetics influence such relationship. Or the candidate is interested in developing spatial-temporal analysis tools for this longitudinal datasets. Requirements: · Ph. D or MD · Neuroimaging Research background is preferable but necessary · Knowledge in multivariate statistical analysis is necessary · Good communication and writing skills in English language If you are interested in the jobs listed above, please send your CV to Associate Prof. Anqi QIU Department of Biomedical Engineering National University of Singapore Email: bieqa(a)nus.edu.sg Phone: +(65) 6516 7002 ============================ Postdoctoral Position in Neuroimaging – Quantitative Neuroimaging Laboratory (QNL), Cognitive Neuroscience Division, Columbia University, NYC Job Summary: QNL invites applications for a full-time postdoctoral position to conduct processing and analyzing of PET and MRI neuroimaging data, as part of multiple research studies on aging and Alzheimer’s disease. Principal Responsibilities: The primary responsibility of this position includes developing novel image processing and statistical analysis methods for reconstruction of brain Beta Amyloid PET images and its accompanying structural MRI and fMRI data from healthy and diseased participants of multiple studies all focusing on aging and Alzheimer’s disease. The QNL is a new research infrastructure housed in the Cognitive Neuroscience Division of the Columbia University Medical Center Neurology Department. The main focus of the QNL is to develop techniques to quantify structural and functional brain images which allow researchers and clinicians to detect brain-based effects that are normally beyond the sensitivity and specificity of commonly-used detection methods in the field. We aim to achieve this goal by utilizing state-of-the-art signal and image processing tools as well as mathematical and statistical method. We are affiliated with Columbia’s Biomedical Engineering Department, Sergevsky Center, and the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain. Required Qualifications: • PhD in Biomedical/Electrical Engineering, Computer Science, Medical Physics, Neuroscience or related disciplines. • Strong background in MRI analysis and related statistical methods for research (SPM, Freesurfer, FSL, AFNI or similar). • Experience with image processing and data analysis. • Strong computer programming skills (e.g., in C/C++, Matlab, R, and especially Python) are highly desirable. • Ability to think independently and work collaboratively. Benefits • Columbia University officers' benefits applies • Starting date: Jan 2015. • The postdoctoral position is scheduled initially for two years (open to renewal). • Salary will depend on experience. Additional Information: To apply, please submit a single PDF file containing the following: 1) Cover letter describing research interests and relevant background; 2) CV with list of publications; 3) The names of three individuals who could provide reference letters. All files or inquiries should be submitted electronically to: academicjobs.columbia.edu/applicants/Central?quickFind=61752 Ray Razlighi Assistant Professor in Neurology Adjunct Assistant Professor in Biomedical Engineering Email: qr2108(a)cumc.columbia.edu ========================= The Pediatric Mood and Anxiety Disorders Program (P-MAP) and the Translational and Molecular Imaging Institute (TMII) at the Icahn School of Medicine at Mount Sinai (ISMMS) are seeking a highly motivated post-doctoral scholar in neuroimaging. The focus of this position will be on analyzing fMRI and/or MRS data. Candidates should have (or nearing completion of) a PhD in neuroscience, psychology, cognitive science, radiology, engineering, or a related field, and should have a strong background in quantitative analysis. Proficiencies with at least one neuroimaging analysis software (e.g. FSL, AFNI, SPM, Freesurfer, Caret, Connectome workbench, etc.) and Unix/Linux environment are expected. Familiarity with Matlab, Python, or R programming language is a plus. The postdoctoral scholar will be mentored jointly by Dr. Vilma Gabbay and Dr. Junqian (Gordon) Xu, with the expectation for him/her to advance both clinical and methodological knowledge through this postdoctoral training. The P-MAP under the direction of Vilma Gabbay, MD, is a unique program in the greater New York metropolitan area dedicated exclusively to the study and treatment of adolescent mood and anxiety disorders, utilizing innovative neuroimaging and immunological methodologies. The neuroimaging program led by Junqian (Gordon) Xu, PhD, has extensive knowledge about the Human Connectome Project (HCP) data acquisition and analysis, and is dedicated to advancing magnetic resonance imaging and spectroscopy techniques. TMII is equipped with cutting-edge Siemens MRI scanners dedicated to research: 3T Skyra (32ch and 16ch head coils) and whole-body actively shielded 7T (32ch Nova head coil). One campus wide supercomputer and one TMII wide center cluster are fully accessible for data analysis and algorithm development. The postdoctoral fellow's primary responsibility is to analyze neuroimaging data from funded research projects. In addition, the mentors are fully committed to fostering the trainee's research independence through first-author manuscript writing and assisting in the PIs' grant applications. The candidate is highly encouraged to pursue his/her own research project through NIH F32 or foundation fellowship applications by the end of the first year. The initial employment is for two-years, with possible extension. Salary will be commensurate with experience and the cost of living in New York City. Subsidized housing close to Mount Sinai campus (upper east side, Manhattan) is available. Please send CV (with 3 references) and statement of interest to Kailyn Bradley, PhD: (kailyn.bradley(a)mssm.edu). Candidates with an early start date will be given priority. ======================== Postdoctoral researcher “Machine learning analysis of neuroimaging data” Job description The University of Amsterdam has a vacancy for a postdoctoral researcher. The aim of the project is to develop deep convolutional neural network (CNN) analysis of neuroimaging data to enable neuroimaging biomarker development. Neuroimaging data consist of thousands of features but the training of convolutional networks is typically hampered by limited samples. You will use large existing datasets for the development of CNN analysis and test the resulting models in smaller samples to develop neuroimaging biomarkers that are predictive of treatment outcome in patients with psychiatric disorders. You will closely collaborate with experts in CNN and computer vision in the deep learning group of Prof. Max Welling (UvA) as well as with experts in neuroimaging and psychiatry in the group of Dr. Guido van Wingen (AMC-UvA). Key objectives include the construction of networks that are invariant to differences in MRI data acquisition, accommodate classification on multiple data modalities, test the networks with supervised and unsupervised problems, and develop software for end-users. This project is funded by a Vidi grant from the Netherlands Organisation for Scientific Research (NWO/ZonMW). Requirements We are looking for a postdoctoral fellow with a (nearly completed) PhD in computer science, artificial intelligence, bioinformatics, mathematics, statistics, engineering, or related discipline. You have a strong background in mathematics, statistics, and (GPU) programming (e.g., Linux, C++, Python, Cuda, Matlab), and have experience with machine learning, pattern analysis, and/or medical image analysis. You have excellent communicative skills in written and spoken English (Dutch is a plus but not required) and are well able to work independently as well as in a team. You have an interest in neuroscience and developing biomedical applications, and as postdoctoral researcher will assist in the supervision of junior researchers. What we offer We offer a challenging multidisciplinary research project for the duration of 2 years with a possible extension. The starting date is preferably around January 2016. Compensation is according to the collective agreement (CAO-UMC), and you will be employed by AMC Medical Research BV. Contact information For more information regarding the position, you can contact dr. Guido van Wingen (G.A.vanWingen(a)amc.uva.nl) and Prof. Max Welling (M.Welling(a)uva.nl). To apply, please provide a motivation letter explaining why you are the right candidate, curriculum vitae, transcript of records including grades, a list of projects you have worked on (with brief descriptions of your contributions, max. 2 pages), and the names and contact information of two academic references. You can only apply online until November 27 via www.amc.nl/vacatures. ======================= The Clinical Neuroscience & Development Laboratory at the Olin Neuropsychiatry Research Center (www.nrc-iol.org/onrc_labs_cnd.asp) is seeking to fill 1 postdoctoral research position to work on a new NIMH-funded project that will use functional magnetic resonance imaging (fMRI) to examine the architecture of neural networks engaged for emotion regulation in typically-developing and depressed adolescents. The postdocs will join a lab whose focus is to study developmental changes in brain structure/function across early adolescence to young adulthood and examine neural network function abnormalities in various early-life psychiatric disorders, including depression, AD/HD, and others. This is a good opportunity for an applicant who has experience in either clinical psychology or computational neuroscience, who has particular interests in developing a career using functional neuroimaging research. Specific postdoctoral duties would vary depending on skills and career development interests, ranging from gaining in depth experience with either the clinical aspects of the project (patient interviewing, clinical data collection, protocol management, and supervision of trained clinical research staff), fMRI data analysis skills (SPM, FSL and functional connectivity analyses of fMRI and structural brain datasets), or both. Applicants should have a Ph.D. in Psychology, Neuroscience, or closely related field, solid understanding of statistical methods and experimental design, and promising clinical research experience. The ideal candidate will come from a doctoral program that has provided a strong theoretical foundation in affective and/or cognitive neuroscience, familiarity or proficiency with fMRI methods, and competitive skills in either the clinical or analytic domains. While data is being collected on this new project, the postdoc also will have access to several large, un-examined archival neuroimaging datasets with an expectation to work on studies consistent with those projects’ objectives. Training will be provided in sophisticated data analysis techniques (i.e., independent component analysis, multi-modal analysis, etc.), and access to the Olin Center’s extensive data collection and analysis resources (e.g., fMRI, sMRI, DTI, EEG, genotyping, neuropsychological assessment). The Olin NRC is a well-established clinical neuroscience center affiliated with Yale University with over 50 faculty, postdocs and research assistants. Our mission is to conduct cutting-edge clinical and cognitive neuroscience research into the causes and treatment of psychiatric disorders. The Olin Center is located on the grounds of The Institute of Living / Hartford Hospital, providing access to thousands of psychiatric patients each year treated in numerous clinical programs. If interested, please send a statement of scientific interests, accomplishments and relevant skills, a CV, and contact information for at least 3 academic references including letters of recommendation if already available to Dr. Michael C. Stevens (Michael.Stevens(a)hhchealth.org), CNDLAB Director, Olin NRC, 200 Retreat Avenue, Hartford, CT 06106. ===================== A group of cognitive neuroscientists in the San Francisco Bay Area is seeking a highly motivated and ambitious postdoctoral fellow to lead a project to develop mobile apps and using these apps in combination with neuroscience tools to perform large-scale trans-disciplinary and multisite research examining cognitive development. The suite of apps will focus on reading, math, and executive function measures for young children. There is a possibility of extending the app to the domains of motivation, empathy and creativity, and to cognitive training. The postdoc must be interested in both theory-driven as well as applied research, and have the ultimate goal of using neuroscience and mobile technology to transform education. The fellow will work closely with mentors and their labs from the University of California, San Francisco (Fumiko Hoeft MD PhD, Melina Uncapher PhD, Adam Gazzaley MD PhD, Joaquin Anguero PhD, Jyoti Misrha PhD, Roeland Hancock PhD, Robert Hendren DO, Bruce Miller MD, Maria-Luisa Gorno-Tempini MD PhD), Stanford University (Bruce McCandliss PhD, Miriam Rosenberg-Lee PhD) and UC Berkeley (Silvia Bunge PhD). He/she must have a demonstrated history of productivity in mobile software development, and cognitive psychology/neuroscience or education research, with excellent programming, interpersonal, organizational and leadership skills. A strong interest in cognitive development or psychometrics is a plus. PhDs or equivalent are encouraged to apply. With the right talent, individuals with a BSc and MSc will be considered. The minimum commitment is 2 years with a flexible start date, and the primary appointment will be held within the Department of Psychiatry at UCSF. Interested candidates should email a cover letter and CV. Please add “[APP development job]" and your full name in the Subject of the email. Qualified candidates will be asked to have 3 letters of reference forwarded. CONTACT: Fumiko Hoeft MD PhD, info(a)brainLENS.org URL: https://vimeo.com/brainLENS/CINTEL https://vimeo.com/brainlens/DyslexiaCenter http://brainLENS.org ======================== Postdoc Positions for the Adolescent Brain Cognitive Development (ABCD) study University of California, San Diego Several funded postdoctoral positions are available in image analysis method development, including automated cortical- and subcortical segmentation, advanced diffusion tractography, and fMRI mapping and time series analysis. We are looking to build a team to help build the next generation of analysis pipelines and visualization tools for a newly funded study to follow 10,000 children with longitudinal structural and functional imaging across 19 sites across the US. The study will use a cross-platform Harmonized Human Connectome Protocol, optimized for quantitative accuracy and consistency of imaging biomarkers across scanners and time. To learn more about the ABCD study, please see http://www.drugabuse.gov/news-events/news-releases/2015/09/nih-launches-lan…. Requirements: Applicants should have research experience in any of the above fields, with a Ph.D. or equivalent degree. They should be comfortable working in a distributed team environment, and should have a track record of quality scientific publications. Candidates are expected to be experienced in programming with Matlab, Python, and/or C/C++. Experience with FreeSurfer, FSL, and the Human Connectome analysis pipelines is strongly preferred. To formally apply, submit a current CV, a personal statement describing your research experience and interests, and contact information for 2-3 references to abcd(a)ucsd.edu. Or feel free to email Dr. Donald Hagler (dhagler(a)ucsd.edu) or Anders M. Dale (amdale(a)ucsd.edu) for more information. =================== A new post is available at the University of Bristol, which would suit someone with a strong neuroimaging background, who is either a new or more experienced post-doc. The researcher will be involved in acquiring and analysing MRI data for fMRI, ASL, resting state fMRI and possibly also VBM, but also in designing experiments and collecting behavioural data. Please see the brief job description below, the full details of which can be found here: http://www.jobs.ac.uk/job/AMH347/research-associate/ Applications are invited for a full-time Research Associate to work alongside other research staff on an EU FP7-funded project entitled “Nudge-it: The Neurobiology of Decision-Making in Eating - Innovative Tools.” (http://nudge-it.eu/) Background to the project: As highlighted in The EC White Paper on Nutrition, Overweight and Obesity-related Health Issues, the prevalence of overweight and obesity across Europe has increased dramatically in the last thirty years, particularly among children. For effective policies on healthy eating, we must be able to make meaningful predictions about the consequences of particular behaviours and interventions. For this to happen, we need to understand basic determinants of food choice. Nudge-it is a multidisciplinary project that engages experts in the neurobiology of motivational behaviour, in the neuroscience of reward pathways, in the neuroendocrinology of homeostatic regulation of appetite, in experimental psychology, in functional brain imaging, in behavioural economics, and in computational modelling. The work at Bristol combines neuroimaging with controlled laboratory-based studies to identify and quantify key determinants of food choice. The post-holder will assist with research aimed at understanding the role of interoception and how individual differences in sensitivity to interoceptive signals influence food choice. The objective of the work is to identify brain mechanisms underlying food choice and to develop predictive models that can be used to understand drivers of unhealthy dietary decisions. This five-year project is now approaching the end of its second year. The post-holder will be responsible for the design, execution, analysis, and dissemination of findings, both from neuroimaging and from laboratory-based experiments. The final year of the project will involve data collection in a home environment. About the post: The post would suit a well-qualified and experienced researcher with expertise in neuroimaging and experimental design. The post will be available from 1st January 2016. The salary will be within the range of £35,256 - £39,685 (University of Bristol, Grade J) according to qualifications and experience. Informal enquires can be directed to Professor Jeff Brunstrom (tel: 0117 928 8574;Jeff.Brunstrom(a)bristol.ac.uk). -- Jonathan Brooks (PhD) - Senior Research Fellow CRiCBristol, University of Bristol, St Michael's Hill, Bristol, UK T: +44(0)117-342-1512 W: http://www.cricbristol.ac.uk ===================== An NIMH funded post-doctoral position to study the functional and neurochemical effects of stress on reinforcement learning in patients with major depression is available in the Translational Research in Affective Disorders Laboratory (TReADLab) in the Department of Psychology at Emory University (PI: Michael Treadway). Located in the heart of Atlanta, GA, the Department of Psychology at Emory provides an outstanding environment in which to pursue post-doctoral training in clinical neuroscience and multi-modal neuroimaging. Full salary and benefits are guaranteed for two years. Responsibilities: Responsibilities include serving as project lead for an NIMH-funded study, including designing/programming experiments, scanning participants, analyzing behavioral and neuroimaging data, presenting data at national and international meetings, and preparing manuscripts for publication. The successful candidate will also be expected to take a lead or co-author role in publishing on existing datasets in the lab, as well as develop and pursue novel research questions. Candidates will be strongly encouraged to apply for extramural funding during the post-doctoral period. Necessary skills/qualifications: A doctoral degree and promising publication record in cognitive science, neuroscience, computer science, psychology, or related field. Strong functional neuroimaging background and/or computer programming skills (e.g. MATLAB and/or Python) are required. Should be self-motivated, independent, and reliable. Research experience in affective, clinical or cognitive neuroscience (e.g., conducting and analyzing fMRI or MRI studies), will all be viewed positively, but are not required. Interested parties should email a CV, names of relevant professional references, and a brief statement of interest to Chelsea Leonard chelsea.leonard(a)emory.edu. Applications will be reviewed beginning 12/1/2015 until the position is filled. Start date is flexible depending on candidate availability. For more details on the grant project, please go to: https://projectreporter.nih.gov/project_info_description.cfm?aid=8994068&ic… For details on the TReADLab go to: http://psychology.emory.edu/clinical/treadway/lab/Home.html For details on the neuroimaging facilities in the Emory Department of Psychology please go to: http://fern.emory.edu/home/index.html -- Daniel Cole Research Assistant - TReAD Lab Department of Psychology - Emory University Email: Daniel.Cole(a)emory.edu ================================= we are seeking for post-doc candidates (“University Assistant”, approx. equivalent to “Lecturer”, contract up to 6 years) who will work in close collaboration with Claus Lamm and his team at the Social, Cognitive and Affective Neuroscience Unit (SCAN-Unit). Further information about current and past research of the lab can be found on our webpage http://scan.psy.univie.ac.at/research We are looking for candidates with a Ph.D. degree in (preferably Experimental, Cognitive or Biological) Psychology, Social and/or Cognitive Neuroscience, Cognitive Science, or a related field. We are particularly looking for candidates with high-level expertise in multivariate data analysis (including machine learning approaches and/or computational modeling), preferably of fMRI and EEG data. Candidates should also have experience in designing, running, analyzing, and publishing experimental studies using human neuroscience methods such as fMRI, EEG, and/or TMS/tDCS. For further details, please refer to the attached PDF, which can also be found here: http://tinyurl.com/pypnq6f Please feel free to forward widely. Best wishes, Claus -- Prof. Claus Lamm Head of the Social, Cognitive and Affective Neuroscience Unit Faculty of Psychology University of Vienna Liebiggasse 5, 1010 Vienna, Austria e: claus.lamm(a)univie.ac.at w: http://homepage.univie.ac.at/claus.lamm w: http://scan.psy.univie.ac.at w: http://forschungscluster.meduniwien.ac.at/mmi-cns t: +43-1-4277-47130 ========================= One postdoctoral position is available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC. Imaging Genomics: The successful candidate should have a strong background on Biomedical Engineering, Electronic Engineering, Computer Science, or relatedly majors, preferably with emphasis on neuroimaging analysis and genomics. Experience on brain disease diagnosis is highly desirable. People with machine learning background on feature representation and regression are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C/C++, Python, Matlab, etc.) is desirable. The research topic will be the development and validation of innovative methods for imaging genomics. The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group’s previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen(a)med.unc.edu). ============================= Several postdoctoral positions are available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC. Segmentation: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature learning and segmentation. Experience on medical image segmentation using deformable surface, level sets, and graph cut is highly desirable. People with machine learning background on image features and shape statistics are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) is desirable. The research topic will be the development and validation of segmentation methods for brain segmentation and surface reconstruction. Registration: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on feature learning and correspondence detection. Experience on medical image registration is highly desirable. People with experience on pairwise, group-wise and/or 4D registration are particularly encouraged to apply. Knowledge on brain development and also strong background on programming (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of 3D, 4D, and group-wise image registration methods for early brain development and aging studies. Atlas Construction: Candidates with experience on patch-based sparse representation are encouraged to apply. The research topic will be the development of atlas construction methods for infant brain images. The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen(a)med.unc.edu). ======================== ------------------------------------------------------------------------------ UCL INSTITUTE OF NEUROLOGY Wellcome Trust Centre for Neuroimaging University College London, UK Research Associate / Senior Research Associate in MRI Physics ------------------------------------------------------------------------------- A postdoctoral position for an expert in MRI physics is available within the Wellcome Trust Centre for Neuroimaging (WTCN), UCL Institute of Neurology, London, UK. The Centre has excellent facilities and an interdisciplinary working environment that enables fruitful collaborative physics research with application in the neuroscientific domain. We seek a highly motivated individual to work within Prof. Nikolaus Weiskopf’s Physics group. The group specializes in the development of a broad range of methods, including diffusion, structural and functional imaging. The group’s ethos is to understand the underlying MR physics so as to arrive at efficient and effective solutions to problems. This position will pursue research projects with emphasis on functional MRI (fMRI) with key target areas being: · High-resolution fMRI (~1mm); · Ultra-fast fMRI enabling whole-brain imaging in less than 1s, including multi-band and 3D EPI; · Reduction of susceptibility artefacts and physiological noise in fMRI; · Parallel imaging and advanced image reconstruction, e.g. compressed sensing. As a member of the WTCN Physics Group, the post-holder will also be expected to support ongoing neuroscience research. Applicants must have a PhD or, if not already held (Research Associate applicants only), the PhD must have been obtained by the agreed start-date in physics, biomedical engineering, or a comparable subject. A strong background in MR physics is essential, as is expertise in programming high-level languages (e.g. C/C++, Matlab). Applicants must also be specialized in at least one (Research Associate) or two (Senior Research Associate) of the following areas: pulse sequence programming, Siemens MR scanners and software (IDEA, ICE), MR image reconstruction methods (in particular, parallel imaging and compressed sensing), assessing safety of equipment / implants in the MR environment, time-series analysis, functional MRI or SPM software. Those applying for the Senior Research Associate position will also need to be able to demonstrate an established publication track record and experience of leading a team of researchers. The post is funded by the Wellcome Trust until November 2017 in the first instance and is available immediately. Salary will be in the range of £33,686 - £40,716 pa on UCL Grade 7 (Research Associate) or £41,844-£49,362 pa on UCL Grade 8 (Senior Research Associate) including London Allowance, superannuable. You should apply for this post through UCL's online recruitment – http://www.ucl.ac.uk/hr/jobs where you can download a full job description and person specification using ref: 1517456. If you have any queries regarding the application process, please contact Samantha Robinson, Personnel Officer, Institute of Neurology, 23 Queen Square, London, WC1N 3BG (email:IoN.HRAdmin@ucl.ac.uk). Informal enquiries to Prof Nikolaus Weiskopf (email: n.weiskopf(a)ucl.ac.uk). Further information on the lab: http://www.fil.ion.ucl.ac.uk/Research/physics.html Closing date: 16 December 2015 ================================ Postdoctoral Fellow in Multivariate Analysis, Machine Learning and Classification Job description: Computation functional anatomy laboratory at National University of Singapore focuses on the development of medical image analysis methods, including image segmentation, registration approaches, multivariate statistical analysis, machine learning, and classification algorithms. Our group is particularly working on multi-modal magnetic resonance imaging of the brain and derives mathematical/statistical models for characterizing variations of the brain anatomy and function and their associations with clinical phenotypes and/or genetics. We are seeking for research fellows who are interested in developing and employing data mining approaches for understanding high dimensional brain image and/or genetic data. The candidate with experience on high dimensional data or 3D image analysis will be seriously considered. Requirements: · Ph. D on computer vision, statistics, electrical engineering, or biomedical engineering · Good communication and writing skills in English language If you are interested in the jobs listed above, please send your CV to Associate Prof. Anqi QIU Department of Biomedical Engineering National University of Singapore Email: bieqa(a)nus.edu.sg Phone: +(65) 6516 7002 Postdoctoral Fellow Position on Imaging Genetics of Infants Job description: Computation functional anatomy laboratory at National University of Singapore (http://www.bioeng.nus.edu.sg/cfa) focuses on brain and cognition studies using neuroimaging techniques. Our group is leading a large-scale longitudinal neurodevelopmental project from birth onwards in Singapore. The project examines neurocognition using EEG and eye trackers, brain development using diffusion tensor imaging (DTI), resting-state fMRI, and structural MRI, genetic and epigenetic influences on cognition and brain. Thus far, we have collected both functional and anatomical imaging as well as genetic and epigenetic data of 200 newborns and their follow-up at six months. The follow-up scanning at 4, 6, and 8 years will start soon. We are looking for a research fellow who is interested in developing and (or) employing pattern recognition approaches to understand the relationship of the brain with psychopathology in early life and how environmental factors and genetics influence such relationship. Or the candidate is interested in developing spatial-temporal analysis tools for this longitudinal datasets. Requirements: · Ph. D or MD · Neuroimaging Research background is preferable but necessary · Knowledge in multivariate statistical analysis is necessary · Good communication and writing skills in English language If you are interested in the jobs listed above, please send your CV to Associate Prof. Anqi QIU Department of Biomedical Engineering National University of Singapore Email: bieqa(a)nus.edu.sg Phone: +(65) 6516 7002 ============================= Great opportunity to join a growing team in Las Vegas, working for the Cleveland Clinic in a highly specialized neurodegenerative disease center. Please email me bankss2(a)ccf.org or walshr(a)ccf.org with any questions: http://www.lerner.ccf.org/jobs/postdoc/view.php?id=660 ===================== Job Summary: QNL invites applications for a full-time postdoctoral position to conduct processing and analyzing of PET and MRI neuroimaging data, as part of multiple research studies on aging and Alzheimer’s disease. Principal Responsibilities: The primary responsibility of this position includes developing novel image processing and statistical analysis methods for reconstruction of brain Beta Amyloid PET images and its accompanying structural MRI and fMRI data from healthy and diseased participants of multiple studies all focusing on aging and Alzheimer’s disease. The QNL is a new research infrastructure housed in the Cognitive Neuroscience Division of the Columbia University Medical Center Neurology Department. The main focus of the QNL is to develop techniques to quantify structural and functional brain images which allow researchers and clinicians to detect brain-based effects that are normally beyond the sensitivity and specificity of commonly-used detection methods in the field. We aim to achieve this goal by utilizing state-of-the-art signal and image processing tools as well as mathematical and statistical method. We are affiliated with Columbia’s Biomedical Engineering Department, Sergevsky Center, and the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain. Required Qualifications: · PhD in Biomedical/Electrical Engineering, Computer Science, Medical Physics, Neuroscience or related disciplines. · Strong background in MRI analysis and related statistical methods for research (SPM, Freesurfer, FSL, AFNI or similar). · Experience with image processing and data analysis. · Strong computer programming skills (e.g., in C/C++, Matlab, R, and especially Python) are highly desirable. · Ability to think independently and work collaboratively. Benefits · Columbia University officers' benefits applies · Starting date: Jan 2015. · The postdoctoral position is scheduled initially for two years (open to renewal). · Salary will depend on experience. Additional Information: To apply, please submit a single PDF file containing the following: 1) Cover letter describing research interests and relevant background; 2) CV with list of publications; 3) The names of three individuals who could provide reference letters. All files or inquiries should be submitted electronically at: academicjobs.columbia.edu/applicants/Central?quickFind=61752 Ray Razlighi Assistant Professor in Neurology Adjunct Assistant Professor in Biomedical Engineering Email: qr2108(a)cumc.columbia.edu ================================== Postdoctoral Research Fellow – Neurobiology of Language and Memory, Queensland University of Technology (QUT) The Language, Cognition and Brain Sciences (LCBS) laboratory at Queensland University of Technology (QUT) is seeking a motivated and enthusiastic Postdoctoral Research Fellow to contribute to a range of research projects investigating the neurobiology of language in both healthy and language-impaired individuals. Applicants should have completed a PhD or have submitted a PhD for qualification in psychology, linguistics, cognitive neuroscience, speech pathology or an equivalent field, and have proven technical ability with a demonstrated publication track record in diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI). Appointment may be made at Level A or B, depending on the qualifications and experience of the successful applicant. Work conducted within the lab focuses on investigating the neural and cognitive mechanisms responsible for language processing in healthy individuals, how these mechanisms are affected by brain tumours and stroke, and how language recovery can be facilitated by various treatments. It is anticipated that the appointee will work across a range of projects involving neuroimaging, brain stimulation, genetic and psycholinguistic methods. There will also be opportunity for the appointee to develop new projects and obtain competitive funding based on their own research interests, in alignment with the goals and interests of the lab. The position will entail conducting research at the Herston Imaging Research Facility (HIRF), a purpose built state-of-the-art imaging centre. The HIRF is a joint initiative between the Queensland University of Technology, Metro North Hospital and Health Service, the QIMR Berghofer Medical Research Institute, the University of Queensland, and industry partner Siemens. The primary focus of HIRF is on research, with a 3 Tesla Siemens Prisma MRI equipped for cognitive neuroscience research (including a 64-channel BrainProducts MR-compatible EEG system), in addition to Siemens PET-MR and PET-CT systems. Interested candidates should apply online via the QUT website or Seek addressing the selection criteria. The deadline for application is November 15, 2015. Questions regarding this position may be addressed to the lab director, Prof Greig de Zubicaray: greig.dezubicaray(a)qut.edu.au ====================== Applications are invited for a Post-Doctoral position in the Brain and Language Lab (www.brainandlanguagelab.org) at the University of Geneva. The position is for 2 years (or more), and will be at the new Biotech Campus (http://www.campusbiotech.ch/en/). Candidates should have a degree in Psychology and/or Cognitive Neuroscience, and should have a solid background in statistics and in the analysis of functional magnetic resonance imaging data. The projects will include brain imaging and behavioural studies on multilingualism and expertise, with a focus on executive skills, attention and statistical/language learning. The salary is competitive, starting salary at ~ 69, 000 CHF/year (~ 81, 000 CHF/year as of August 2016) depending on experience. The position is available immediately, and applications will be considered until the position is filled. Informal inquiries can be addressed to Narly Golestani (Narly.Golestani(a)unige.ch). Applications including a CV, a statement of research interests, and the names and full contact details of three referees should be sent to: Narly.Golestani(a)unige.ch. Brain and Language Lab Department of Clinical Neuroscience Biotech Campus 9 Chemin des Mines, 1202 Genève +41 22 379 53 52 http://www.brainandlanguagelab.org ================================== The Computational Psychiatry Unit (www.neurocpu.com) at The University of Texas at Dallas and The Southwestern Medical Center invites applications for a research coordinator position. This is an exciting opportunity to work in the emerging interdisciplinary field of computational psychiatry, which seeks to redefine mental disorders in terms of aberrant computations at multiple scales, and to improve mental health by applying modern neuroscientific techniques and discoveries. Current research in the lab specifically focuses on the neural and computational mechanisms of emotion and decision-making in drug addiction and major depression. Access to state of the art facilities including: two research-dedicated human 3T MRI systems, one human 7T MRI system, multiple research-dedicated 1.5T MRI systems, two PET systems (with coregistering MRI), a SPECT camera, a high field system for animal studies, four EEG systems equipped for both 64 and 128 channel recordings, TMS, rTMS, tDCS, and HD tDCS equipment. Job requirements: The successful candidate will participate in the following aspects of research in the lab, including: 1) Preparing consent forms and paperwork related to research ethics, assembling and administering neuropsychological assessments; 2) Screening and recruiting participants, scheduling participants for testing, obtaining informed consent; 3) Tracking progress of the study and data collection, verifying data and entering pertinent information into database for statistical analysis 4) Acquisition of behavioral and neural data, conducting statistical analyses, and assisting with manuscript preparation. Qualifications: Bachelor’s degree in any area of psychology, neuroscience, clinical science, biomedical sciences, or related fields is required. Master’s degree in any of these fields and/or clinical experience is preferred. Experience with any of the following would be an added advantage: neuropsychological assessment, psychopharmacology, psychophysiology, brain imaging, MATLAB, R, python, C++, and signal processing. The candidate must have strong organizational and interpersonal skills; the ability to work well with clinical populations; a willingness to tackle complex tasks in an independent manner; and a strong work ethic. How to Apply: Please email a CV, a one-page statement of research interests and career goals in a single PDF document titled with RA_YourName.pdf to Dr. Xiaosi Gu at xiaosi.gu(a)utdallas.edu -- Xiaosi Gu, Ph.D Assistant Professor Computational Psychiatry Unit The University of Texas at Dallas 2200 W Mockingbird Ln, Dallas, TX 75235 Tel: 972-883-3303 www.neurocpu.com ============================== Full-time Programmer/Analyst position at The Oppenheimer Center for Neurobiology of Stress The Oppenheimer Center for Neurobiology of Stress at the University of Los Angeles, California (http://uclacns.org) is immediately seeking to fill a full-time Programmer/ Analyst II. Responsibilities include programming and optimizing automated data quality control, preprocessing, computational and analysis pipelines for large-scale multimodal brain imaging and biological data. The candidate should have a strong programming background in one or more of the following areas: engineering, computer science, statistics, physics, and/or neuroscience. Expertise in Matlab is essential. Experience with other data analysis languages (Matlab, Python, R) preferred. Experience with database design and querying highly desired (MySQL preferred). Experience navigating UNIX environment is a plus. Experience with Java script is a plus. Experience with data visualization (d3.js or other) is a plus. Experience in Neuroimaging (or image processing in general) not required but is a plus. The Oppenheimer Center for Neurobiology of Stress (CNS) is an interdisciplinary, translational center funded by the National Institutes of Health, and by philanthropic support. CNS has both a research and clinical component. CNS Mission: 1) Generate cutting edge research to demonstrate the crucial role of the brain in health and wellness. 2) Identify brain signatures which play a role in vulnerability to and resilience against chronic disease (including pain, stress-related disorders, obesity). 3) Identify the role of the gut microbiome, the immune system and genomic factors in shaping and maintain these brain signatures. 4) Identify differences between the male and female brain in mind brain body interactions. All MRI and PET imaging is currently conducted at the Ahmanson-Lovelace Brain Mapping Center. The Brain Mapping Center is an internationally recognized leader in functional and structural imaging. Ahmanson-Lovelace Brain Mapping Center houses a state-of-the-art facility equipped with a 3 Tesla Siemens Prisma system a Bruker 7.0 Tesla instrument, and a Siemens Sonata 1.5 Tesla device. The successful candidate will typically have a master’s degree, but unusually talented candidates with a bachelor’s degree and several years of relevant experience will be considered. Salary is commensurate with experience. Start immediately. A minimum three-year commitment is strongly encouraged. If interested, please apply at the following link http://www.uclahealthcareers.org/all-jobs/Programmer-Analyst-II/H80582. In addition, please send a CV and short statement of your interest, as well as the names and addresses of three references to Dr. Jennifer Labus, at jlabus(a)ucla.edu. ============================ University of Glasgow Ref: 011494 Salary: Grade 6, £27,057-30,434 / Grade 7, £33,242 – £37,394 per annum We are seeking to recruit a Research Assistant/Associate to work in the Centre for Cognitive Neuroimaging within the Research Institute of Neuroscience & Psychology at the University of Glasgow. The post-holder will contribute to Wellcome Trust funded research project entitled “Natural and modulated neural communication: State-dependent decoding and driving of human Brain Oscillations” (Joint Investigators: Gregor Thut, Joachim Gross). This is one of 5 Research Associate positions covering different aspects of the above project. The job requires working in an interdisciplinary team of researchers on longstanding questions of how brain oscillations orchestrate brain functions, or relate to brain dysfunction. This involves controlled intervention into brain oscillations by transcranial brain stimulation to modulate brain function. Specifically, the job requires expert knowledge in at least one of the relevant techniques EEG, TES, TMS. The post-holder will also be expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct this complex and challenging project, as opportunities allow. Informal enquires may be made to Profs. Gregor Thut (Gregor.Thut(a)glasgow.ac.uk) or Joachim Gross (Joachim.Gross(a)glasgow.ac.uk). For more information and to apply online please visit www.glasgow.ac.uk/jobs. Closing date: 29 November 2015 ======================== A postdoctoral position is available in Dr. Christine Rabinak's Translational Neuropsychopharmacology Laboratory at Wayne State University in Detroit, Michigan. Our research focuses on behavioral and neural processes underlying fear learning and memory in healthy volunteers and patients with fear-based disorders, such as posttraumatic stress disorder. For more information about the specific projects and areas please visit our lab website: http://www.tnp2lab.org The initial postdoctoral fellow appointment will be for 2 years, with potential to renew. Minimum qualifications include a highly motivated individual with a recently obtained (within the past 2 years) PhD in a relevant field (e.g., Neuroscience, Psychology, Biology), MD, or MD/PhD, or comparable degree. Strong evidence of technical experience in functional neuroimaging, including strong programming skills (Matlab, C++, Python, or equivalent programming language) is required. Experience designing and conducting Pavlovian fear conditioning studies and/or working with clinical populations of fear-based disorders (e.g., anxiety disorders, posttraumatic stress disorder) is highly desirable. Candidates are further required to have a strong record of research accomplishments and publications, including presentations of scientific results at national meetings and their publication in peer-reviewed journals, an ability to work in a team environment as well as excellent oral and written communication skills. Duties will consist of, but are not limited to, designing, performing, and analyzing studies that investigate the role of the cannabinoid system in aversive learning and memory, aide, supervise, design, and execute experiments pertaining to the lab’s area of research (emotion and posttraumatic stress disorder). The candidate will participate in the writing of manuscripts and grants, presenting data at national and international meetings, and assist in the training of students. The postdoctoral fellow will be expected to develop his/her own ideas within the scope of the lab. Qualified candidates should submit their CV, the names of three references, and a cover letter summarizing current and future research interests by email to Dr. Rabinak at rabinak(a)wayne.edu This position is contingent upon the receipt of funding from the Office of the Vice President of Research at Wayne State University. Christine A. Rabinak, PhD Assistant Professor Wayne State University Eugene Applebaum College of Pharmacy & Health Sciences Pharmacy Practice Pharmaceutical Sciences Psychiatry & Behavioral Neurosciences Translational Neuroscience Program 259 Mack Ave., Suite 2190 Detroit, MI 48201 rabinak(a)wayne.edu Office: 313-577-9875 Fax: 313-577-5369 http://www.tnp2lab.org =========================== Title of the research unit: : Institut du Cerveau et de la Moelle Épinière (ICM), INSERM Name of Director: Professor Alexis BRICE Supervisor: Professor Harald HAMPEL Title: “Development of multimodal structural and functional neuroimaging biomarkers for the preclinical characterization, detection, prodromal diagnosis and prediction of Alzheimer’s Disease“ Aims: The primary objective of the Post-Doc position is to implement established and novel neuroimaging biomarkers through development of advanced mathematical modeling to identify sensitive and specific algorithms for the early detection/diagnosis/prediction of Alzheimer’s disease (AD) in asymptomatic at risk individuals and prodromal patients compared to patients with neurodegenerative diseases and age-matched healthy controls The Post-Doc will use existing cohorts of subjects and patients with preclinical to clinical AD, other neurodegenerative diseases and controls to develop a multimodal approach combining distinct MR-neuroimaging methods (e.g. volumetric MRI, advanced tractography, functional connectivity) and will closely work with researchers coming from other disciplines (such as mathematics, biochemistry, genetics) in order to: (i) develop and validate the function and performance of single versus multimodal imaging parameters; (ii) develop classifiers between age-related neurodegenerative diseases; (iii) translate them into clinical practice and implement them in AD prevention trials; (iv) correlate imaging data with available clinical, psychometric, genetic, as well as blood- and CSF based biomarker information. Background: Findings derived from neuroimaging of the structural and functional organization of the human brain have led to the widely supported hypothesis that neural networks of temporally coordinated brain activity across different regional brain structures underpin cognitive function. Failure of integration within a network leads to cognitive dysfunction. The current discussion on AD argues that it presents in part a disconnection syndrome. Computer-based neuroimaging technologies, such as structural and functional magnetic resonance imaging and tractography methods represent suitable methods to investigate this hypothesis. Moreover, several studies have highlighted that a number of different neuropathologies that are crucially involved in the development of AD and the causal interaction between these pathologies is not yet fully understood. In this regards, a multimodal approach using structural, functional, and tractography markers might be pivotal to investigate evolving early processes in the brain leading to AD pathological changes. In conclusion, this work will substantially support the development of a multimodal modal biomarkers for early detection, prediction, diagnosis and characterisation of AD progression. The discovery and validation of novel hypothesis-based as well as exploratory markers that map the effects of disease modifying therapies on the brain, ultimately providing much needed surrogate biological outcomes that represent later clinical benefit, are of primary interest in the field AD research. The successful applicant will work under the supervision and with the research team of the AXA Research Fund and UPMC Chair, Professor Harald HAMPEL, located at the Institute for Memory and Alzheimer’s Disease (IM2A) and the Brain & Spine Institute (Institut du Cerveau et de la Moelle Épinière, ICM), Paris, the leading French Institute on brain research, centrally located within the Pitié-Salpêtrière University Hospital – Charles Foix. The Brain& Spine Institute (http://icm-institute.org/menu/actualites) is a widely renowned research centre of excellence of international dimensions. It brings together motivated scientists from various horizons and countries in order to develop innovative and cutting-edge research in the area of Neuroscience. Research teams work at the Brain & Spine Institute independently but are strictly interconnected through cross-disciplinary research programs (both basic and clinical), thus encouraging the amalgamation of different skills. The multidisciplinary approach to Neuroscience (Neurobiology, Neurochemistry, Neurogenetics, Neuropsychology as well as structural / functional / diffusion / molecular Neuroimaging) taken by the Brain & Spine Institute represents a vital and dynamic advance in research. Requirements : The ideal Post-Doc candidate is expected to have a robust academic and science background and previous experience in the study of structural neuroimaging markers of AD. Candidates demonstrating competencies on structural and functional MRI methods, knowledge and experience with MRI-related data analysis packages (SPM, Matlab, Freesurfer), statistical softwares (e.g., SPSS or R) will have a strong advantage. The candidate has to be fluent both in written and spoken English. The position is expected to begin December 15th, 2015. Applications should include a full Curriculum Vitae. Applications together with all documents, should be submitted electronically to: e.mirassou-ihu(a)icm-institute.org with reference to “Post-Doc position" in the E-mail header. Applications must be received within the 30th of october 2015. -- Elodie Mirassou Assistante du Professeur Harald Hampel, MD, PhD, MA, MSc AXA Research Fund & UPMC Chair Sorbonne Universities Université Pierre et Marie Curie - Paris 6 Institut de la Mémoire et de la Maladie d’Alzheimer & Institut du Cerveau et de la Moelle épinière (ICM) Département de Neurologie Pavillon François Lhermitte Hôpital Pitié Salpêtrière 47 Boulevard de l’hôpital 75651 Paris CEDEX 13 Phone: + 33 (0) 1 42 16 75 21 (office) Mobile: + 33 (0) 6 95 51 63 55 Email: e.mirassou-ihu(a)icm-institute.org Email : mirassou.elodie(a)gmail.com

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RAs and lab manger positions
by Gary Green 23 Nov '15

23 Nov '15

The Brain Connectivity and Cognition Laboratory in the Department of Psychology at the University of Miami invites applicants interested in a Lab Manager/Research Assistant position beginning Spring 2016. The position will involve responsibilities including recruiting and scheduling participants for research studies, data collection (MRI and behavioral), data analysis using FSL or SPM, administrative duties, IRB management, and general management of lab operations. As the majority of these activities will be in service of data collection for an R01 investigating cognitive flexibility in autism, individuals with an interest in the neuroscience of autism are particularly encouraged to apply. Successful applicants will have completed an undergraduate degree in psychology, neuroscience, or a related field. The job requires exceptional organizational skills, high motivation and initiative, the ability to work with children, and the ability to interact efficiently and courteously with others. Individuals with prior experience collecting and analyzing MRI data will be given preference. The position requires a 2 year commitment. Interested applicants can send their CV, three letters of reference, and a cover letter describing their research interests and career goals to Dr. Lucina Uddin (l.uddin(a)miami.edu). Additional information can be found at http://www.psy.miami.edu/bccl/ and https://www.facebook.com/umiamibraindevelopment/. ===================== The Olin Neuropsychiatry Research Center (http://nrc-iol.org) located at Hartford Hospital is looking for a research assistant II/programmer to assist with neuroinformatics development. The Olin Center is a 40 person department, opened in 2003 at the Institute of Living. We have a Siemens Skyra 3T whole-body MRI, EEG, and TMS suites. We are looking for someone to help develop the Neuroinformatics Database (http://github.com/gbook/nidb), manage neuroimaging data, and assist with the programming of automated neuroimaging processing systems. The primary focus of the position will be developing and maintaining imaging and non-imaging databases, but duties will also include responding to support requests, training, documentation, and bug fixing. Candidate is expected to have a bachelor’s degree in computer science or engineering, and experience with programming and/or SQL databases required. Experience programming PHP, Perl, HTML, SQL, in a Linux environment is strongly preferred. Neuroimaging experience (you’re reading this from a neuroimaging mailing list!) is also preferred, but not necessary. Contact Greg at gregory.book(a)hhchealth.org ============================= New York University is looking for an Assistant Research Scientist who will work with faculty in the Center for Brain Imaging (CBI) to help implement analysis techniques, establish data analysis streams, and to make state-of-the-art MR techniques such as multi-echo/multi-plexed BOLD fMRI, diffusion imaging, and advanced anatomical measurements available to the broader research community. Responsibilities include: - Assisting in training graduate students, postdocs, and new researchers in neuroimaging data collection and analysis, including use of FSL, SPM, Freesurfer, AFNI and Matlab-based toolboxes. - Consulting with researchers to select appropriate tools and methods for data analysis, including modern statistical techniques for multiple-comparisons correction, denoising, multivariate analyses, functional connectivity analyses, and surface-based analyses. - Technical support and training for faculty, staff, and students acquiring MRI data, primarily on Siemens Prisma scanner. - Organizing training workshops and seminars to expose researchers to new developments in imaging methods and analysis techniques. - Expertise in EEG and TMS a plus. Qualified applicants should have: - A PhD or equivalent experience in Psychology, Neuroscience, Mathematics, or Statistics. - Two years relevant experience or equivalent combination, which must include experience with MR imaging principles, research training, data acquisition and analysis, statistics, and/or signal processing. - Excellent interpersonal, organizational and writing skills. - Ability to effectively communicate with individuals of all levels. - Strong analytical skills. - Ability to multitask and work independently. Salary to be commensurate with experience. Interested individuals should contact Pablo Velasco, Ph.D. at pablo.velasco(a)nyu.edu ===================== Damien Fair’s Neuroimaging Lab is looking for a candidate with expertise in neuroimaging, particularly in the field of MRI. While the main focus of this position is in neuroimaging, candidates with experience in bioinformatics and software development are highly encouraged to apply. The position will support a large federally funded longitudinal study to assess the short- and long-term impact of substance use on brain development (Adolescent Brain Cognitive Development Study). The work will also include support for other federally funded imaging studies on the development of attention, learning, and cognition, for both human and animal model brain imaging. The incumbent will be heavily involved in programming and software development for these integrated structural and functional brain imaging studies. The incumbent will also be involved with data collection and analysis. A successful applicant must be able to work well independently, also in a team, and to communicate clearly in a collaborative environment with a diverse range of experiences and disciplines. She/he must also have familiarity with different tools to process and analyze large datasets of structural and functional neuroimaging data, as well as a documented history of software development and support. The selected applicant will implement and execute reusable data processing pipelines, develop and improve current workflows and QA pipelines that will be released to external labs and assist in the standardization of data sharing infrastructure across different institutions. The applicant will be responsible for managing software development, support, documentation, and using software engineering best practices. Links: ABCD Study http://addictionresearch.nih.gov/adolescent-brain-cognitive-development-stu… Job Posting IRC50111 (best viewed in Internet Explorer) https://ais.ohsu.edu/OA_HTML/OA.jsp?page=/oracle/apps/irc/candidateSelfServ….. ======================= The Olin Neuropsychiatry Research Center (www.nrc-iol.org) at the Institute of Living has a position available in brain imaging data analysis. The successful applicant will join a major lab conducting brain structure and function research in both healthy and psychiatric populations. The focus of the work will be on a project using functional MRI to study brain network connectivity related to emotional processing. However, there also are numerous and varied ongoing and recently-completed projects funded by NIMH, NIDA and NICHD. Candidates must have Master’s degree or beyond in relevant specialty (e.g., Biomedical Engineering, Computing, Psychology, Neuroscience, or related field), understanding of fMRI statistical methods and experimental design, and promising research experience. The candidate should come from a training program that has provided demonstrable brain imaging data analysis skills (ideally fMRI) and solid working knowledge of Linux, Matlab and similar systems; (Java, C++ programming experience also useful). Experience with fMRI task programming languages (ePrime, Presentation) also a plus. Pay will be commensurate with experience. In addition to opportunities to working on grant-funded research topics compatible with the lab mission, the Clinical Data Analyst will have access to several large archival neuroimaging datasets, additional training in sophisticated data analysis techniques (i.e., independent component analysis, multi-modal data “fusion” analysis, etc.) and access to the Center’s data collection and analysis resources (e.g., fMRI, sMRI, DTI, EEG, GWAS, neuropsychological assessment). At our center, candidates are encouraged to publish research data in peer reviewed journals and present at national research meetings, at whatever level is commensurate with their skills. The position is open for an initial 3 years, with an option to renew. The Olin Neuropsychiatry Research Center is an established clinical neuroscience center affiliated with Yale University comprising over 60 faculty, postdocs and research assistants. Our mission is to conduct cutting-edge clinical and cognitive neuroscience research that ultimately can translate to psychiatric care. The Olin Neuropsychiatry Research Center is located on the grounds of The Institute of Living / Hartford Hospital in Hartford, CT, providing access to thousands of psychiatric patients each year treated in numerous clinical programs. This is an exciting opportunity for a clinical or cognitive neuroscience master’s degree-qualified researcher looking to establish him/herself in the field through productivity, training in advanced analysis techniques, and access to ample scientific resources. If interested, please send a statement of scientific interests, resume of accomplishments and relevant skills, a CV, and contact information for at least 3 academic references to Michael.Stevens(a)hhchealth.org. ====================== The Olin Neuropsychiatry Research Center (http://nrc-iol.org) located at Hartford Hospital is looking for a research assistant II/programmer to assist with neuroinformatics development. The Olin Center is a 40 person department, opened in 2003 at the Institute of Living. We have a Siemens Skyra 3T whole-body MRI, EEG, and TMS suites. We are looking for someone to help develop the Neuroinformatics Database (http://github.com/gbook/nidb), manage neuroimaging data, and assist with the programming of automated neuroimaging processing systems. The primary focus of the position will be developing and maintaining imaging and non-imaging databases, but duties will also include responding to support requests, training, documentation, and bug fixing. Candidate is expected to have a bachelor’s degree in computer science or engineering, and experience with programming and/or SQL databases required. Experience programming PHP, Perl, HTML, SQL, in a Linux environment is strongly preferred. Neuroimaging experience (you’re reading this from a neuroimaging mailing list!) is also preferred, but not necessary. Contact Greg at gregory.book(a)hhchealth.org ==============================

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PhD position adverts
by Gary Green 23 Nov '15

23 Nov '15

Note some have to be applied for THIS week ====================== Applications are invited for a three-year PhD studentship at the Department of Psychology at Royal Holloway University of London under the supervision of Dr. Angelika Lingnau. In this project, we will use representational similarity analysis (RSA) and multivariate pattern analysis (MPVA) of fMRI data to examine organizing principles of observed actions (see also https://sites.google.com/site/angelikalingnau/home). The Department is supported by excellent facilities, including a research-dedicated 3T MRI scanner, EEG and TMS labs. The Department is ranked 6th out of 82 Psychology Departments in the UK in the 2014 Research Excellence Framework (REF), 93% of our research is classified as world-leading or internationally excellent. Closing date for applications: December 7th. Informal inquiries should be sent to Dr. Angelika Lingnau (angelika.lingnau(a)rhul.ac.uk). ======================== The German Center for Neurodegenerative Diseases (DZNE) is a center of excellence within the Helmholtz Association that performs translational research on Neurodegenerative Diseases. The center includes nine high-performing sites in Bonn, Berlin, Dresden, Göttingen, Magdeburg, Munich, Rostock/Greifswald, Tübingen and Witten. Within the area of clinical research we have a position for a PhD position (f/m) Neuro Image Analysis – Code 1347/2015/11 Description: You will work in an interdisciplinary team in Bonn focused on Clinical Research. Clinical research at the DZNE aims to investigate causes and preclinical biomarkers of neurodegenerative diseases, and to study normal and pathological brain structure and function in neurodegenerative diseases. To this end the team, led by Prof. Thomas Klockgether, Director of Clinical Research of the DZNE is currently establishing several clinical studies including MR-imaging in a multi-center and single site setting. The study facility in Bonn will encompass state-of-the art apparatus including 3T MRI scanners (Siemens Skyra) as well as a 7T MRI Scanner, advanced bio-banking program and large data storage and computational resources. We invite applications for a PhD project on multimodal brain imaging in Neurodegenerative Diseases (e.g. spinocerebellar ataxia) in the Clinical Research Group at the German Center of Neurodegenerative Diseases, DZNE, Bonn, Germany. Within the framework of multicenter studies the project aims to investigate the structural and functional trace of Neurodegenerative Diseases (e.g. spinocerebellar ataxia) in the human brain. Available methods include resting state fMRI, DTI and morphometry. Interested candidates are encouraged to develop computational modelling skills. Qualifications and experience: We are looking for highly motivated candidates with a Master’s degree (or equivalent) in neuroscience, psychology, biology, or a related field, and with a strong interest in neurodegenerative diseases. Programming skills in Matlab and experience with resting-state fMRI are an advantage. Demonstrable interest in quantitative research, strong analytical skills, ability for independent and critical thinking, and excellent communication and writing skills in the English language are a prerequisite. Creative, highly motivated and team-oriented candidates, who dare to take initiative and enjoy working in a fast-growing, dynamic research environment in an internationally oriented biomedical institution, are strongly encouraged to apply. We offer: An interesting and challenging task in a research center that works on the future topics of health research An international environment characterized by a strong focus on science and research A high potential for the individual development of our employees Targeted personnel development A full-time position, initially temporary limited to two year Employment, payment and social benefits are consistent with those at other research institutesJob location is Bonn, Germany. Common language at work is English or German. The DZNE is an equal opportunity employer. The DZNE especially welcomes and encourages disabled individuals to apply. Interested candidates should send their applications including CV with transcripts or degree certificates, a brief statement of research interests and contact details of two referees in a single file to: application(a)dzne.de References may be taken up as part of the candidate selection and prior to interview. Applicants who do not wish referees to be contacted without prior notice and consent should make this explicitly clear on their application. ========================== This 4-year full-time BBSRC DTP studentship provides full support for tuition fees, annual tax-free stipend at Research Council UK rates (currently £14, 057). The project is due to commence September 2016 and is open to UK/EU nationals only due to the nature of the funding. About the project: The brain is a prediction machine, using internal models to predict future outcomes, and errors in prediction to optimise internal models (Clark, 2013). To optimise our decision-making in an uncertain world, our brains compute two key computational signals when we learn what to expect from the world around us. The first, called Salience Prediction Errors, are errors in predicting important outcomes regardless of their valence. The second, called Reward Prediction errors, are errors in predicting the valence of outcomes. These errors are expressed as early ERPs. This project will further our understanding of the neural expression of errors in learning. In a series of EEG studies we will utilise a combination of psychological and physiological manipulations to probe the nature of the ERPs corresponding to salience and reward prediction errors. Supervisors: Talmi & El-Deredy http://www.findaphd.com/search/ProjectDetails.aspx?PJID=67758&LID=1033 ========================================= I am advertising a 4-year PhD scholarship starting in September 2016 at the University of St Andrews. The fMRI project will identify subcortical structures that carry gaze direction signals for visual localization and spatial attention. The project is at the interface between cognitive neuroscience and medical physics. The student will be supervised by Dr Daniela Balslev from the University of St Andrews and Dr Ian Cavin from the University of Dundee & NHS Tayside Department of Medical Physics. The project http://www.eastscotbiodtp.ac.uk/subcortical-pathways-gaze-direction-signals How to apply http://www.eastscotbiodtp.ac.uk/how-apply-0 Deadline: December 14 at 5 pm Contact daniela.balslev(a)st-andrews.ac.uk ---- Regards, Daniela --- Daniela Balslev, MD, PhD Lecturer School of Psychology and Neuroscience University of St Andrews St Mary's Quad South Street St. Andrews KY16 9JP United Kingdom phone +44 (0)1334 462097 fax +44 (0)1334 463042 daniela.balslev(a)st-andrews.ac.uk www.danielabalslev.dk ==================================== We are inviting applications for an MRC funded PhD studentship on “The role of motor systems on the functional neural organisation of language processing: Cross-linguistic evidence from sign and speech” with Dr Cheryl Capek, Dr Gorana Pobric and Prof Shaheen Hamdy at the University of Manchester. The project will use behavioural, MEP, TMS and fMRI techniques. This 3.5-year full-time MRC DTP studentship provides full support for tuition fees, annual tax-free stipend at Research Council UK rates (currently £14, 057) and conference/travel allowance. The project is due to commence October 2016 and is open to UK/EU nationals only due to the nature of the funding. Application deadline: Wednesday, 25 November 2015 For full details, please see: http://www.findaphd.com/search/ProjectDetails.aspx?PJID=67608&LID=2473 With best wishes, Cheryl Capek: http://www.manchester.ac.uk/research/cheryl.capek/ Pobric: http://www.manchester.ac.uk/research/gorana.pobric/ Hamdy: http://www.manchester.ac.uk/research/shaheen.hamdy/ Cheryl Capek, PhD Lecturer & MSc in Neuroimaging for Clinical & Cognitive Neuroscience (NCCN) Director School of Psychological Sciences Zochonis Building University of Manchester Manchester M13 9PL, UK Email: cheryl.capek(a)manchester.ac.uk Phone: +44 (0) 161 306 0445 ====================== We are pleased to invite applications for a Medical Research Council funded PhD opportunity at the University of Manchester. This project will use novel measures to chart changes in behavioural and brain function in stroke aphasia from the acute to the chronic phase, with the goal of improved prediction of patient outcomes. It will be supervised by Dr Anna Woollams, Dr Ajay Halai and Professor Matt Lambon Ralph, and involves participants from our existing large cohort of stroke aphasic patients. The successful applicant will join the vibrant postgraduate community of the Neuroscience and Aphasia Research Unit (http://sites.psych-sci.manchester.ac.uk/naru/). The studentship covers all fees and provides an annual stipend of £14,057, plus additional funding for research training including conferences. This project would suit those with an interest in working with neuropsychological patients using structural and functional neuroimaging. Full details of the project are available here: http://www.findaphd.com/search/projectDetails.aspx?PJID=67615&LID=1033 Interested candidates are encouraged to make contact with Anna Woollams (anna.woollams(a)manchester.ac.uk). I am happy to answer any questions about the project or candidate suitability. We will only consider full applications received by November 25th. Best wishes, Anna W. Dr Anna Woollams Senior Lecturer in Cognitive Neuroscience Neuroscience and Aphasia Research Unit (NARU) School of Psychological Sciences Room 3.22, Zochonis Building University of Manchester Oxford Road Manchester M13 9PL Tel: 0161 306 0453 ============================= he research group for cognitive neuroscience at the university of Tromsø is looking for an enthusiastic PhD candidate who would like to build a career in the cognitive neurosciences. Our lab is based at the Institute of Psychology at the University of Tromsø in the beautiful city of Tromsø, Norway. The PhD will work in the project “Neural and computational correlates of mind wandering” which has the ambitious goal to find brain correlates of mind wandering. The project potentially involves a multitude of involved techniques and methods such as fMRI, EEG, eye-tracking, cognitive modeling and advanced statistical analyses. The project is embedded in an active collaboration between the research group for cognitive neuro- science at UiT and Birte Forstmann’s lab at the university of Amsterdam. Frequent and/or extended visits to our collaborating group are planned. The prospective candidate must hold a Master or equivalent in psychology, informatics, physics or other areas relevant to the research project. Experience with any of the abovementioned techniques techniques will count in favour of the candidate as will experience with programming in any programming language. The research project is led by principal investigator Dr. Matthias Mittner and is embedded in the research group of cognitive neuroscience at the institute of psychology at the university of Tromsø. We encourage interested candidates to contact Matthias Mittner for further information about the project. Research group's Website: http://uit.no/research/cognitive-neuroscience Official announcement and application: http://www.jobbnorge.no/ledige-stillinger/stilling/119210/ Regards, Matthias -------------------------------- Dr. Matthias Mittner matthias.mittner(a)uit.no http://uit.no/research/cognitive-neuroscience Institute for Psychology University of Tromsø Huginbakken 32, 9037 Tromsø, Norway ================================ Dear colleagues, The Translational Neuromodeling Unit at the Swiss Federal Institute of Technology (ETH Zurich) invites applications for a PhD student position. The project will focus on NMDA receptors and fatigue in Multiple Sclerosis. Please see the details about the available position below. Best regards, Gabor Stefanics Open position for a doctoral student (PhD) at TNU Zurich The Translational Neuromodeling Unit (TNU; Director: Prof. K.E. Stephan) is a division of the Institute of Biomedical Engineering at the University of Zurich and the Swiss Federal Institute of Technology (ETH Zurich). Its mission is to translate advances in computational neuroscience into diagnostic tools for psychiatry and neurology. To this end, the TNU brings together computational scientists, psychologists and clinicians who jointly develop mathematical models of maladaptive behaviour and brain disease, and evaluate their diagnostic use in patient studies. For more information, see http://www.translationalneuromodeling.org. Within a custom-designed building, the TNU houses a research clinic with a wide range of experimental facilities (EEG, eye-tracking, pharmacological, psychophysics and behavioural labs). The TNU invites applications for a Doctoral student (PhD) position (duration 3 years) The topic of this PhD project concerns investigations of pathophysiological mechanisms in Multiple Sclerosis (MS) by computational neuroimaging, with a particular focus on (i) EEG investigations of the role of NMDA receptors in MS, and (ii) fMRI studies of mechanisms of fatigue in MS. The project involves both data collection (EEG and fMRI) in patients and healthy controls, as well as advanced data analysis based on neurobiologically informed computational models for inferring on connectivity and synaptic processes. The ideal candidate for this position has a strong interest in clinically relevant empirical research, as well as an ambition to develop skills in computational modelling. Qualifications and requirements: • education in a relevant field (e.g., Psychology, Biology, Medicine, Neuroscience, Statistics, Physics, Computer Science, or Engineering) • good programming skills • fluent German and English • ability to work independently • a team player attitude Additionally, the ideal applicant has experience with: • EEG and fMRI (data collection and analysis) • working with patients • solid statistical knowledge The project will start as soon as possible after January 2016. The salary will be in the range recommended by the Swiss National Science Foundation (approximately CHF 50,000 p.a.). The TNU, located in central Zurich, offers a young, collegial and highly international community, and an exciting interdisciplinary scientific environment at the intersection between computational neuroscience, psychiatry and neurology. Interested students should submit their applications including CV, names and contact information of two references, and a short letter of motivation (outlining their interests and explaining why they meet the above requirements) by email in a single pdf to Gabor Stefanics (tnu-jobs(a)biomed.ee.ethz.ch). Applications which do not fulfil these formal criteria will not be considered. Shortlisted applicants will be invited for interviews. Informal inquiries can be directed to Dr. G. Stefanics (stefanics(a)biomed.ee.ethz.ch). Review of applications will begin immediately and will continue until the position is filled. ======================= Graduate Training in Brain and Cognitive Sciences at the University of Rochester The Department of Brain and Cognitive Sciences (BCS) at the University of Rochester offers opportunities for students interested in earning a doctoral degree in one of the most exciting fields of scientific endeavor. Particular areas of research strength include: language, perception and action, development and learning, concepts and categories, and decision-making. Full details can be found at: http://www.bcs.rochester.edu . Recent news about research done in the department can be found on its Twitter feed: https://twitter.com/UoR_BrainCogSci We seek outstanding candidates from a variety of backgrounds who seek a rigorous program of study and exceptional mentoring in research. All students admitted to the program are offered graduate fellowships that provide a full stipend and cover the costs of tuition and single plan health insurance. The Department has a number of new faculty with research programs focusing on cognitive neuroscience, development of language and cognition, language learning, theoretical and computational neuroscience, and visual neuroscience. Interested applicants can find details at http://www.bcs.rochester.edu/graduate/admission.html The closing date for applications for admission in Fall 2016 is January 1, 2016. Neuroimaging facilities include a research-dedicated 3T Siemens MRI scanner at the Rochester Center for Brain Imaging (RCBI), and also state-of-the-art NIRS and EEG systems. More information can be found at http://www.rcbi.rochester.edu Readers of the SPM list may be particularly interested in work being done by the following faculty members: Richard Aslin (fMRI and NIRS) http://www.bcs.rochester.edu/people/aslin/r_aslin.html Jessica Cantlon (fMRI) http://caoslab.bcs.rochester.edu Brad Mahon (fMRI) http://caoslab.bcs.rochester.edu Rajeev Raizada (fMRI) http://raizadalab.org ========================= Two PhD students “Machine learning analysis of neuroimaging data in psychiatry” Job description The Department of Psychiatry of the University of Amsterdam has vacancies for two PhD students. The overall aim is to discover neuroimaging biomarkers to enable personalized medicine by predicting treatment outcome in psychiatry. Treatment of mood and anxiety disorders typically consists of pharmacotherapy with SSRIs or cognitive behavioral therapy (CBT). Both treatments are successful in about half of the patients. However, a particular patient may benefit more from one than another treatment based on his or her brain state at baseline. The aim is to develop neuroimaging biomarkers to determine the best treatment for a particular patient and thereby increase treatment success rate. We recently found that machine learning analysis of functional MRI data can retrospectively predict treatment outcome in patients with depression on an individual basis. These studies will be the first to determine whether similar methods are suitable for prospective treatment selection using established (e.g., SVM) and novel (e.g., CNN) machine learning techniques. One PhD project will focus on obsessive-compulsive disorder and one PhD project will focus on posttraumatic stress disorder. In addition, you will benefit from the opportunity to analyze recently collected data from related projects. You will collaborate with neuroscientists, biostatisticians, and clinicians. The project is funded by a Vidi grant from the Netherlands Organisation for Scientific Research (NWO/ZonMw). Requirements We are looking for highly talented and dedicated PhD students with a (nearly completed) Master’s degree in a field related to neuroimaging (e.g., biomedical engineering, biophysics, neuroscience) and/or machine learning (e.g., artificial intelligence, bioinformatics, computer science). Excellent candidates from other fields are also encouraged to apply. You have a strong background in programming (e.g., Matlab, Python) and preferably experience with machine learning and neuroimaging. You have good communicative skills for optimal interaction with patients and clinicians and are well able to work independently as well as in a team. You are proficient in English in speech and writing. What we offer We offer a highly challenging multidisciplinary research project for the duration of 4 years, state-of-the-art research facilities and excellent supervision. The starting date is around January 2016. Compensation is according to the collective agreement (CAO-UMC) and amounts from EUR 2200,- gross per month in the first year to EUR 2818,- in the fourth year. You are going to work for AMC Medical Research BV. Contact information For more information regarding the position, you can contact dr. Guido van Wingen (G.A.vanWingen(a)amc.uva.nl). To apply, please provide a motivation letter explaining why you are the right candidate, curriculum vitae, transcript of records including grades, and the names and contact information of two academic references. Please state in which PhD project(s) you are interested. You can only apply online until November 27 via www.amc.nl/vacatures. ========================= In celebration of our 95th anniversary, the School of Psychology and Clinical Language Sciences is delighted to invite applications for a fully funded PhD Studentship in a research project aligned with the Psychopathology & Affective Neuroscience (PAN) Research Division. Housed in state-of-the-art facilities including the Centre for Integrative Neuroscience and Neurodynamics, with research-dedicated MRI, EEG and TMS laboratories, the School has established itself as a leading centre for research in the neural mechanisms underlying emotional processes. The successful candidates will join a thriving postgraduate research community of more than 70 PhD students who benefit from excellent support and resources from the School of Psychology and Clinical Language Sciences (https://www.reading.ac.uk/pcls/) and membership of the University Graduate School (http://www.reading.ac.uk/graduateschool/). For more information about the PAN research expertise, potential applicants are encouraged to contact the PAN Leader, Dr. Carien van Reekum, quoting PAN:GS16-008 in the subject line. For general application procedures, please email Postgradpsycls(a)reading.ac.uk. Eligibility: Applicants should hold or expect to gain a minimum of a high level Honours degree or MSc or equivalent in Psychology, Neuroscience, or a related discipline Each of these three-year studentships covers fees at the UK/EU rate and a maintenance stipend of £14,057. International students are welcome to apply but must be able to pay the difference between UK/EU fees and international fees. Funding Details: Starts October 2016 A 3 year award UK/EU Tuition fees plus stipend around £14,057 pa Application Deadline: 30th November 2015 ======================= Applications are invited for an MRC-funded 3.5-year PhD project working with Dr Jason Taylor and Dr Deborah Talmi at the University of Manchester. The project will use multimodal neuroimaging methods (EEG, fMRI) and advanced analysis techniques (dynamic causal modelling, DCM; representational similarity analysis, RSA) to investigate interactions between processing fluency and recognition memory (familiarity and recollection). Start date is October 2016, with full support provided (MRC DTP scheme) including tuition fees, stipend (£14, 057 pa), and conference/travel allowance. Due to the nature of the funding, this position is open to UK/EU nationals only. The full project description and further information can be found here: http://www.findaphd.com/search/projectDetails.aspx?PJID=67630&LID=1033 Applications will be considered until 25th November. Applicants should hold (or be expected to obtain) a minimum upper-second class undergraduate degree in a related area. A relevant Masters degree or equivalent research experience would be an advantage. Please direct applications in the following format to Dr Jason Taylor (jason.taylor(a)manchester.ac.uk): • Academic CV • Official academic transcripts • Contact details for two suitable referees • A personal statement (750 words maximum) outlining your suitability for the study, what you hope to achieve from the PhD and your research experience to date. Any questions about the project or application process should also be directed to Dr Taylor (jason.taylor(a)manchester.ac.uk). Best wishes, Jason ------------------------------------------------------------------- Dr. Jason Taylor Lecturer Co-Director MSc Neuroimaging for Clinical & Cognitive Neuroscience School of Psychological Sciences The University of Manchester jason.taylor(a)manchester.ac.uk JT: http://www.psych-sci.manchester.ac.uk/staff/jasontaylor DT: http://www.psych-sci.manchester.ac.uk/staff/talmi/ ==================== We are looking for a highly motivated candidates with a Master’s degree (or equivalent) in neuroscience, psychology, biology, or a related field, and with a strong interest in neurodegenerative diseases for a PhD-project. The official job offer is stated below! Hope to see you soon in Bonn! Lukas Scheef ______________________________ Dr. med. Dipl. Phys. Lukas Scheef Clinical Research Group German Center of Neurodegenerative Disorders (DZNE) Ernst-Robert-Curtius-Straße 12 53117 Bonn http://www.dzne.de Within the area of clinical research we have a position for a PhD position (f/m) Neuro Image Analysis – Code 1347/2015/11 Description: You will work in an interdisciplinary team in Bonn focused on Clinical Research. Clinical research at the DZNE aims to investigate causes and preclinical biomarkers of neurodegenerative diseases, and to study normal and pathological brain structure and function in neurodegenerative diseases. To this end the team, led by Prof. Thomas Klockgether, Director of Clinical Research of the DZNE is currently establishing several clinical studies including MR-imaging in a multi-center and single site setting. The study facility in Bonn will encompass state-of-the art apparatus including 3T MRI scanners (Siemens Skyra) as well as a 7T MRI Scanner, advanced bio-banking program and large data storage and computational resources. We invite applications for a PhD project on multimodal brain imaging in Neurodegenerative Diseases (e.g. spinocerebellar ataxia) in the Clinical Research Group at the German Center of Neurodegenerative Diseases, DZNE, Bonn, Germany. Within the framework of multicenter studies the project aims to investigate the structural and functional trace of Neurodegenerative Diseases (e.g. spinocerebellar ataxia) in the human brain. Available methods include resting state fMRI, DTI and morphometry. Interested candidates are encouraged to develop computational modelling skills. Qualifications and experience: We are looking for highly motivated candidates with a Master’s degree (or equivalent) in neuroscience, psychology, biology, or a related field, and with a strong interest in neurodegenerative diseases. Programming skills in Matlab and experience with resting-state fMRI are an advantage. Demonstrable interest in quantitative research, strong analytical skills, ability for independent and critical thinking, and excellent communication and writing skills in the English language are a prerequisite. Creative, highly motivated and team-oriented candidates, who dare to take initiative and enjoy working in a fast-growing, dynamic research environment in an internationally oriented biomedical institution, are strongly encouraged to apply. We offer:  An interesting and challenging task in a research center that works on the future topics of health research  An international environment characterized by a strong focus on science and research  A high potential for the individual development of our employees  Targeted personnel development  A full-time position, initially temporary limited to two year  Employment, payment and social benefits are consistent with those at other research institutes Job location is Bonn, Germany. Common language at work is English or German. The DZNE is an equal opportunity employer. The DZNE especially welcomes and encourages disabled individuals to apply. Interested candidates should send their applications including CV with transcripts or degree certificates, a brief statement of research interests and contact details of two referees in a single file to: application(a)dzne.de References may be taken up as part of the candidate selection and prior to interview. Applicants who do not wish referees to be contacted without prior notice and consent should make this explicitly clear on their application. The German Center for Neurodegenerative Diseases (DZNE) is a center of excellence within the Helmholtz Association that performs translational research on Neurodegenerative Diseases. The center includes nine high-performing sites in Bonn, Berlin, Dresden, Göttingen, Magdeburg, Munich, Rostock/Greifswald, Tübingen and Witten. ========================== PhD Studentship: Magnetoencephalography (MEG) Imaging in Dementia with Lewy Bodies Department of Psychiatry, University of Cambridge The Department of Psychiatry, University of Cambridge, is pleased to announce one PhD Studentship supported by The Lewy Body Society, to start in October 2016. Applications are welcome. The PhD project will focus on understanding the underlying neurobiological processes in Dementia with Lewy Bodies using Magnetetoencephalography (MEG) and MRI, and will be carried out under the supervision of Dr Li Su and Professor John O’Brien. The successful student will join our team at Department of Psychiatry, School of Clinical Medicine, located at the Cambridge Biomedical Campus on the Addenbrooke’s site. The Department has an outstanding international reputation and expertise in undertaking clinical and neuroimaging studies of neurological and psychiatric diseases, including dementia, and collaborates closely with the University departments of radiology, clinical neuroscience and Wolfson Brain Imaging Centre. The University of Cambridge is consistently ranked among the top universities in the world. The MEG scanner is hosted at the highly renowned MRC Cognition and Brain Sciences Unit (MRC CBSU), one of the only 9 MEG research facilities in the UK. The Department welcomes applications with a good degree in experimental psychology, medicine, neuroscience, statistics, physics, computer science or a related scientific discipline. The successful applicant will have some experience of, or good understanding of the issues involved in, conducting neuroimaging research on clinical populations. Excellent communication and organisational skills are essential. Due to the nature of the project, strong competence in quantitative methods and analytical skills is also essential. Programming skills in Matlab or similar languages would be desirable. Applicants for the Studentship should have, or expect to gain a 1st class or 2.1 class Honours degree in an appropriate subject, and may also have completed further research training or a Masters degree. The stipend will be paid at Research Councils UK rates for the 3 year duration of the award with no fourth year. Only the fees for home/EU students will be met in full. In addition, the Studentship includes funding for MEG scanning costs of the research, and costs for travel to scientific conferences. To apply, please email the following documents to the Education Administrator (Sarah Rowe) email: sr724(a)medschl.cam.ac.uk: i) An academic CV (maximum 2 pages) ii) Two official academic references (please ask your referees to send these directly to the Education Administrator) iii) A research proposal within the remit of MEG imaging in DLB (maximum 1000 words, excluding bibliography or figures) iv) A cover letter indicating: o a brief summary of your research interests and any completed research conducted; o a clear summary of your analytical skills and levels; o a clear statement of your eligibility for this funding award (see below). Applications must be received by midnight on 6th Dec 2015. Interviews are likely to be held on 16th Dec 2015. Enquiries regarding the administration of the application process, or potential supervisors, should be directed via email to the Education Administrator, Sarah Rowe, email:sr724@medschl.cam.ac.uk tel: + 44 (0) 1223 746 105. FURTHER INFORMATION Applicants should note the following before submitting their application: 1. Applicants should contact Dr Li Su (email ls514(a)cam.ac.uk) for further information about the studies programme and supervisory possibilities. General information about these is available via the Department of Psychiatry’s website at www.psychiatry.cam.ac.uk/ or via the Cambridge Neuroscience website at www.neuroscience.cam.ac.uk/ or via the clinical school website at www.medschl.cam.ac.uk/research/Themes/neuro.html. 2. Full awards (fees plus maintenance stipend) are open to UK and EU nationals. 3. For full minimum entry requirements, including fluency in English language please refer to the Departmental website. ============================

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YNiC Science Committee Meeting - 26th November
by Sarah Finch 20 Nov '15

20 Nov '15

The YNiC Science Committee meeting will be held on Thursday 26th November at 10am in B101. The agenda for the meeting is attached. Many thanks Sarah -- Sarah Finch | PA to Gary Green, Director York Neuroimaging Centre | The Biocentre | York Science Park | Heslington | York | YO10 5NY 01904 435329 Working hours are Tues 8.15 -14.45, Weds 8.15-17.15, Thurs 9.30-17.30 and Fri 8.15-14.45

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YNiC Science Committee meeting date
by Sarah Finch 19 Nov '15

19 Nov '15

*Sent on behalf of Jonny Smallwood* The date for the next YNiC Science Committee meeting is Thursday 26th November at 10am and will be held in B101. YNiC users are welcome to come along to this meeting to ask questions and make suggestions about the running of YNiC. If you wish to raise something, please drop me a line (j <mailto:beth.jefferies@york.ac.uk>onny.smallwood(a)york.ac.uk <mailto:onny.smallwood@york.ac.uk>) before the meeting so that I can add it to the agenda. If you are unable to come along but you want to raise a point for discussion, that is fine too - just get in touch. Many thanks Sarah -- Sarah Finch | PA to Gary Green, Director York Neuroimaging Centre | The Biocentre | York Science Park | Heslington | York | YO10 5NY 01904 435329 Working hours are Tues 8.15 -14.45, Weds 8.15-17.15, Thurs 9.30-17.30 and Fri 8.15-14.45

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YNiC seminar - Thurs 19th Nov
by Sarah Finch 17 Nov '15

17 Nov '15

Good morning, Please be advised that there will *not* be a YNiC seminar this week. The next YNiC seminar will be on Thursday 26th November at 4pm in B020 and will be for all PIs. As a reminder, this seminar will cover the new operational details for IT and MRI scans within YNiC. We will present the new scheme for managing disk space; plans for improving IT services as a whole; the question of MRI hours; MRI Training for Operators and provide a brief update on the new MRI scanner. Many thanks -- Sarah Finch | PA to Gary Green, Director York Neuroimaging Centre | The Biocentre | York Science Park | Heslington | York | YO10 5NY 01904 435329 Working hours are Tues 8.15 -14.45, Weds 8.15-17.15, Thurs 9.30-17.30 and Fri 8.15-14.45

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TMS lab temporarily closed
by Andre Gouws 16 Nov '15

16 Nov '15

Hi all, Further to my previous emails, we have had re-occurrences of the triggering issues in TMS. Unfortunately we are going to have to suspend he use of the lab for safety reasons until we can get to the bottom of the issue. We realise that TMS is currently very busy and will work as a priority to get everything up and running. However, obviously safety has to be our primary priority. We will keep you updated. Andre' -- ************************************************************************ Andre Gouws York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5NY Tel: +44 (0) 1904 435328 Fax: +44 (0) 1904 435356

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YNiC Operator cover
by Ross Devlin 12 Nov '15

12 Nov '15

To all YNiC users With effect from the 1st December 2015 YniC operator cover will be removed from a number of afternoon MRI sessions. Afternoon sessions have been selected so that groups with their own operator can extend their sessions into the early evening making use of time that was previously not available. It would be appreciated if all projects/groups that have their own level 1 operator make every effort to book their scans predominantly during these periods leaving the remaining sessions for those projects that require a YNiC operator. Your co-operation in this matter is appreciated. Ross

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YNiC seminar
by Sarah Finch (PA to Gary Green) 11 Nov '15

11 Nov '15

Please be advised that there will NOT be a YNiC seminar this week. Kind regards -- Sarah Finch | PA to Gary Green, Director York Neuroimaging Centre | The Biocentre | York Science Park | Heslington | York | YO10 5NY 01904 435329 Working hours are Tues 8.15 -14.45, Weds 8.15-17.15, Thurs 9.30-17.30 and Fri 8.15-14.45

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Don't forget to apply to OneStart - the world's largest life sciences and healthcare accelerator programme
by Sarah Finch (PA to Gary Green) 10 Nov '15

10 Nov '15

// _We have been asked to distribute this to all YNiC users: _* * *Win **£100k **to realize your healthcare business idea! Applications are open _NOW_ until _1^st DEC 2015_! *This is a call to all individuals with an innovative idea that could tackle humanity's most pressing healthcare needs. OneStart <http://www.onestart.co> offers young entrepreneurs the chance to win *£100k*, *free lab space* and on-going advice from our extensive mentor network drawn from McKinsey & Co., Johnson & Johnson Innovation, GlaxoSmithKline, AstraZeneca, SR One, Takeda Ventures and more <http://onestart.co/partners>_._ _ _Many of our graduates have been successful in securing follow-on investment, our alumni raising over *£27**million*combined! There is no cost to apply, and applications are open NOW until 1^st Dec, 2015. Learn more at onestart.co <http://onestart.co/> today and start building your winning team. *Who should participate? *Anyone under 36 years old interested in healthcare entrepreneurship. We welcome applicants from */all disciplines/* and ideas at */all stages/* of development - from a simple idea to a startup with ample data. Moreover we encourage applicants to recruit other scientists, engineers, business students, lawyers, and anyone else with talent and motivation to join your team. Have a fantastic idea but no co-founders; why not assemble your team through our co-founder hub <http://www.onestart.co/cofounders>, connecting innovators across the globe. *How does it work?* * *Again, there is no cost to apply. Simply fill out our short 2-page application form <http://www.onestart.co/apply>. Why not check out our article on what makes a great application with our TOP 5 TIPS <http://www.onestart.co/blog/jess-top5tipsapplications-onestart2016> on how to reach the semi-finals. Applications are reviewed in Dec 2015 and 35 semi-finalist teams are selected to attend a two-day /Biotech Bootcamp/ <http://onestart.co/update/onestart-2015-london-biotech-bootcamp-slides-vide…> based in London on 5^th and 6^th Feb 2016. Consisting of workshops and networking opportunities with our mentors and partners. Each team also receives 1-on-1 mentorship from our industry experts over 7 weeks. The programme ends with the Finals Gala in London on 18^th May 2016, at which 10 exceptional finalist teams compete for the grand prize (*£100k *and *free lab space*). *Who will you be working with? *You'll be directly interacting with experts across healthcare and life sciences drawn from pharma, biotech, venture capital, management consulting and more <http://onestart.co/partners>. Learn more about why individuals such as Matt Foy <http://www.onestart.co/blog/matthew-foy-partermessage-onestart2016> a partner at SR One (the corporate venture capital arm of GlaxoSmithKline) and Lynne Murray <http://www.onestart.co/blog/lynne-murray-partnermessage-onestart2016> from MedImmune (the worldwide biologics division of AstraZeneca), are involved with the programmeme on our OneStart Blog <http://www.onestart.co/blog>. If you have any further questions feel free to get in touch via jess(a)oxbridgebiotech.com <mailto:jess@oxbridgebiotech.com> or reach us through our dedicated discussion forum <http://www.onestart.co/discuss>. What are you waiting for? Visit onestart.co <http://onestart.co/> today*. *Applications are open**NOW <http://onestart.co/apply>*. *There is still plenty of time to apply. Remember no concept is too early stage. * *We can't wait to hear about your ideas. Best wishes, Jess Jess Sutcliffe Marketing Director, OneStart 2016 PhD Candidate, University College London Department of Cell and Developmental Biology jessica.sutcliffe.10(a)ucl.ac.uk onestart.co <http://onestart.co/> -- Sarah Finch | PA to Gary Green, Director York Neuroimaging Centre | The Biocentre | York Science Park | Heslington | York | YO10 5NY 01904 435329 Working hours are Tues 8.15 -14.45, Weds 8.15-17.15, Thurs 9.30-17.30 and Fri 8.15-14.45

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