post-doc opportunities

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… 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&am… 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