ynic-users

ynic-users@ynic.york.ac.uk

2 participants
2816 discussions

12 phds/jobs...
by Gary Green 23 Jun '15

23 Jun '15

1. A 3 year postdoctoral fellowship in Multimodal Imaging at NORMENT is currently available. NORMENT is a Norwegian Centre of Excellence, and coordinates a translational multicenter study involving all University hospitals in Oslo and several groups at the Universities of Oslo and Bergen. The main aims are to disentangle the neurobiological, genetic, psychological and environmental factors contributing to the development of severe mental disorders. Through our extensive infrastructure for clinical evaluations, cognitive testing, MRI and biobanking we are assembling a comprehensive database comprising healthy controls and patients suffering from schizophrenia and bipolar disorders. NORMENT is directly involved in several large-scale international collaborative efforts, to which the successful candidate is expected to contribute. http://tinyurl.com/pu6hug2 * Job description The postdoctoral fellow will play a central role in the analysis and dissemination of data from a large imaging genetics database, in particular focusing on developing and applying methods for integrating multimodal imaging (sMRI, DTI, fMRI) and genetics. The work will be carried out as part of a cross-disciplinary team in close collaboration with the NORMENT Biostatistics and Genetics groups, and researchers at the Oxford FMRIB Centre (http://www.fmrib.ox.ac.uk), University of California, San Diego (http://mmil.ucsd.edu), and deCODE genetics, Iceland. The position is funded through an extended career grant from the Norwegian Health Authorities. * Qualifications The successful candidate is ambitious and highly motivated for pursuing a research career, holds a PhD in neuroimaging, computational or cognitive neuroscience, biomedical engineering, biostatistics, or equivalent, has a strong background and interest in neuroscience, genetics, MRI analysis or biostatistics, and a strong publication record. Previous experience with imaging genetics or brain network and connectivity analysis is an advantage. Proficiency in shell scripting, Matlab, R, python or similar programming languages or software tools is required. * The application Applications are submitted through the Oslo University Hospital online recruitment system and must include application letter including motivation for applying for the position, CV summarizing education, relevant work experience, grants etc, a complete list of publications and academic work, and contact details of 2-3 references. Application deadline: July 15 2015 For any informal enquiries regarding the position, please do not hesitate to contact group leader Lars T. Westlye (l.t.westlye(a)psykologi.uio.no). http://tinyurl.com/pu6hug2 ---- Lars T. Westlye, PhD Senior Researcher, Head of Multimodal Imaging Group NORMENT CoE, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway Associate Professor II Department of Psychology, University of Oslo Email: l.t.westlye(a)psykologi.uio.no | Phone: +47 971 63 221 ============================================================== 2. Postdoctoral Fellowship at Duke-National University of Singapore Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory, Center for Cognitive Neuroscience at Duke-NUS Graduate Medical School, National University of Singapore is looking for postdoctoral fellow in cognitive neuroscience and/or multimodal neuroimaging. Our group studies the human neural bases of social-emotion, cognition, and memory functions and the associated vulnerability patterns in neuropsychiatric disorders, including neurodegenerative diseases (focusing on AD, FTD and preclinical stages) and Schizophrenia. Multimodal neuroimaging and psychophysical techniques are employed, including magnetic resonance imaging (MRI), functional MRI, diffusion tensor imaging, and electroencephalography (EEG). We are interested in developing computational methods to examine the network-level structural and functional brain connectivity to shed light on the neurobiological mechanism of disease, paving the way for early detection and intervention. Candidates must have a passionate enthusiasm for research, a strong background in one of the following fields: computational neuroscience, cognitive neuroscience, neuropsychiatric disorders, neuroimaging analyses, mathematics/statistics/machine learning or related-fields. He/she should also possess the ability to take the initiative, work independently and be motivated to work in a highly collaborative and international research environment, and be able to demonstrate creativity, technical independence and excellent communication skills. Strong interest in studying dynamic functional connectivity and its relationships with cognition and disease would be a plus. Proven skills in fMRI/EEG/DTI data analyses is a plus but not necessary. Key attractions are access to a 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. The position will be two years with possible extension. Competitive package will be provided based on experience. Interested applicants are welcome to email Assistant Prof. Helen Juan Zhou at helen.zhou(a)duke-nus.edu.sg with application letter, curriculum vitae, three references, and contact information. Website: https://sites.google.com/site/mneuroimaginglab/; http://www.duke-nus.edu.sg/content/zhou-juan-helen =========================================== 3. MRC PhD studentship Doctoral Training Programme, University of Nottingham. Supervisors: Sue Francis, Sir Peter Mansfield Imaging Centre Denis Schluppeck, School of Psychology We are looking to recruit a highly motivated PhD student to study "Somatotopic maps and their renormalisation in patients". The project will combine state-of-the art anatomical and functional MRI at 7 T and advanced data analysis methods. In particular, we aim to measure (a) the topographic organization of human somatosensory cortex (at the scale of a millimetre), (b) the relationship of these maps to columnar and laminar structures (which are fractions of a millimetre), and (c) how these structures are re-organized over time (plastically) in the brains of patients with sensory loss. Our group has recently been awarded a £690,000 collaborative MRC grant to develop this work using 7 T MRI, so the student will be able to benefit from our clinical and non-clinical collaborations at Nottingham, Liverpool, Gothenburg, Aix-Marseille, and North Carolina. Candidates should hold a degree in a relevant field such as neuroscience, psychology, physiology, physics, computer science or a related discipline. We are looking for a highly motivated individual with a general interest in sensory perception, attention and/or decision making. Candidates should have excellent quantitative skills, including a background in computing (preferably Matlab or C/C++), as well as mathematical and technical skills. Experience with neuroimaging, in particular acquisition and analysis of functional MRI data, is a plus. This is a 3-year funded position available from the 1st of September 2015 and the person appointed will be expected to start no later than 1st October 2015. Standard Research Council stipend rates will apply (£14,210 in 2015/16). Informal enquiries may be addressed to Dr Susan Francis, [Email: susan.francis(a)nottingham.ac.uk] or Dr Denis Schluppeck [Email: denis.schluppeck(a)nottingham.ac.uk]. Further details about the Sir Peter Mansfield Imaging Centre and the School of Psychology are available at: http://www.nottingham.ac.uk/psychology and http://www.nottingham.ac.uk/research/groups/spmic/ =================================================== 4. Location: School of Psychology, University of Kent, Canterbury Salary: £32,277 to £45,954 Hours: Full Time Contract Type: Permanent Closes: 21st June 2015 Are you passionate about cognitive psychology or cognitive neuroscience? Do you have the academic skills to challenge thinking, foster debate and develop the ability of students to engage in critical discourse and rational thinking? As a Lecturer in the School of Psychology, you will provide research, teaching, supervision and related administration to enhance the student experience in this subject area. This position is offered on an ongoing and full time basis. As Lecturer in Cognitive Psychology/Cognitive Neuroscience you will: -Undertake research both independently and collaboratively -Train and support students and colleagues in the use of specialist equipment, programming and analysis -Contribute to core teaching on the undergraduate and MSC Psychology programmes As Lecturer in Cognitive Psychology/Cognitive Neuroscience you will have: -A PhD in Psychology, Neuroscience or a cognate discipline -Successful completion of world-leading and internationally excellent research -Evidence of methodological expertise (e.g. TMS, EEG, eye-tracking) -Evidence of the ability to obtain competitive research grants from UK research councils/other international sources If you have the skills and experience we are looking for, this role provides a great opportunity to develop your academic career in a supportive and collegiate environment. School of Psychology The School of Psychology at the University of Kent is consistently rated in the top 20 of UK course providers. Based upon factors such as entry standards, student satisfaction, research assessment and graduate prospects, Psychology at Kent ranked 13th in the 2015 Complete University Guide, 14th in the 2015 Guardian University Guide, and 19th in the 2015 Sunday Times/Times Good University Guide. Our research has four key themes: cognition and neuroscience; developmental psychology; forensic psychology; and social psychology. In all these fields, we have an excellent record of attracting external research funding and postgraduate students and in recent years the School has won funding from the ERC, ESRC, MRC, Leverhulme Trust, British Academy, Nuffield Foundation, Department of Trade and Industry, Age UK, People United, the Higher Education Academy, the Big Lottery Fund, Department of Communities and Local Government, the Ministry of Justice, and HM Prison Service. For more details, and to apply, click here: https://www11.i-grasp.com/fe/tpl_kent01.asp?newms=jj&id=39101&aid=14243 =========================================== 5. One-year neuroimaging postdoc on learning and decision-making http://www.reading.ac.uk/about/jobs/about-job-details.aspx?vacancy_id=10465… -- Dr Anastasia Christakou Centre for Integrative Neuroscience & Neurodynamics School of Psychology & Clinical Language Sciences University of Reading anastasia.christakou.org ========================== 6. Two positions are available for Postdoctoral Fellows in the lab of Dr. Matilde Inglese, Department of Neurology at the Icahn School of Medicine at Mount Sinai Hospital in New York city. The ideal candidates would hold a Ph.D. degree in Medical Physics, Biomedical Engineering, or a related field. These positions requires experience in the acquisition and analysis of structural/functional MRI data and/or MR spectroscopy data. Candidates should be highly motivated and interested in working in an interdisciplinary environment. Strong written and oral English communication skills are required. Details for each position can be found in the attached documents. Applicants should send a cover letter describing research experience and interests, as well as an up-to-date curriculum vitae, and contact information for three references to Matilde Inglese, M.D., Ph.D., by email: matilde.inglese(a)mssm.edu. Potential applicants can contact me during the OHBM meeting or by email (catarina.saiote(a)mssm.edu) to find out more about the role. Best, Catarina Saiote, PhD Postdoctoral Fellow Department of Neurology Icahn School of Medicine at Mount Sinai Phone:212-824-9320 http://icahn.mssm.edu/research/labs/inglese-laboratory =============================== 7. Research Associate Position in Cambridge (UK) Applicants should have a PhD degree with a strong background in neuroimaging and neuroscience to join the Drug Addiction Research group on 1 October 2015 for at least 2 years. The group focuses on functional and structural brain abnormalities associated with the risk of and resilience to drug addiction, and the effects that chronic drug exposure has on the brain. Proficiency with Python, Matlab, or R languages, and other neuroimaging analysis software (e.g. FSL, AFNI, SPM, etc.) and experience with fMRI and DTI analyses are expected. In order to maximise the research outputs from the data, a demonstrated interest in researching, developing, applying and interpreting novel analysis methods is highly desirable. Closing date 15 June 2015 Start date 01 October 2015 Website http://www.jobs.cam.ac.uk/job/7027/ Salary £28,695-£37,394 Category Human Neuroimaging Research Reference Number RN06116 Informal enquiries may be directed to Dr Karen Ersche via email to ke220(a)cam.ac.uk. =================================== 8 Open position: Postdoctoral Research Associate in Computational Neuroimaging This is a two years position, renewable for longer term based upon performance and productivity. Review of applicants will begin on August 1st, 2015, and will continue until the position is filled. The successful candidate will contribute to research in the Computational Neuroanatomy and Neuroinformatics Lab (CNN Lab) of the Biomedical Engineering Department at New Jersey Institute of Technology. The Lab focuses on development and implementations of analytic and statistic models for providing quantitative biological criteria that help diagnosis of cognitive deficits, by integrating high-dimensional multi-modal neuroimaging, clinical and behavioral data and refined imaging analysis and multivariate machine learning techniques. The collaborative research team includes renowned quantitative and clinical scientists affiliated at New Jersey Institute of Technology, Rutgers University, Icahn School of Medicine at Mount Sinai, City University of New York, and Albert Einstein College of Medicine. The multiple neuroimaging modalities involved in the lab includes structural MRI, DTI, task-based and resting-state fMRI and functional near-infrared spectroscopy (fNIRS). The study population greatly focuses on children with Attention Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), Mood Disoder (MD), and Traumatic Brain Injury (TBI). Qualifications of candidate: A PhD degree in biomedical engineering, electrical and computer engineering, computer science, mathematics, statistics, computational neurosciences or a related quantitative field Research experiences in analyses of neuroimaging data collected from any of the following modalities: structural MRI, DTI, fMRI, fNIRS, and EEG/ERP Strong programming skills in any of the following languages: Matlab, C/C++, Python, Shell Scripts, R, SAS, and extensive knowledge on Unix/Linux operating systems Candidates with strong experience on machine learning, pattern classification, regression methods, or sparse representation are particularly encouraged to apply. Additional qualifications include ability to work well in a multidisciplinary, highly collaborative research team; interest in translational research between neuroscience, computational models, and clinical populations, and s strong record or potential for scholarly productivity. Contact: Please email your CV, statement of research interests and career goals, and copies of representative publications in a single PDF document to: Dr. Xiaobo Li Associate Professor of Biomedical Engineering Director of the Computational Neuroanatomy and Neuroinformatics Lab (CNN Lab) New Jersey Institute of Technology xiaobo.li(a)njit.edu ===================================================== 9. Open position: PhD student in Computational Neuroimaging Application Due: October 1st, 2015 Starting date: 2016 Spring Semester The successful candidate will contribute to research in the Computational Neuroanatomy and Neuroinformatics Lab (CNN Lab) of the Biomedical Engineering Department at New Jersey Institute of Technology. The Lab focuses on development and implementations of analytic and statistic models for providing quantitative biological criteria that help diagnosis of cognitive deficits, by integrating high-dimensional multi-modal neuroimaging, clinical and behavioral data and refined imaging analysis and multivariate machine learning techniques. The collaborative research team includes renowned quantitative and clinical scientists affiliated at New Jersey Institute of Technology, Rutgers University, Icahn School of Medicine at Mount Sinai, City University of New York, and Albert Einstein College of Medicine. The multiple neuroimaging modalities involved in the lab includes structural MRI, DTI, task-based and resting-state fMRI and functional near-infrared spectroscopy (fNIRS). The study population greatly focuses on children with Attention Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), Mood Disoder (MD), and Traumatic Brain Injury (TBI). Candidate Requirements: The candidate should have a Master’s degree in biomedical engineering, electrical and computer engineering, computer science, mathematics, physics, computational neurosciences or a related discipline. Expertise in brain imaging and/or programming is highly preferred. Tasks of the PhD student: To work in collaboration with clinical and engineering departments for the development and application of new methodologies; to analyze complex multi-modal and longitudinal neuroimaging and clinical data; to participate in MRI data acquisition, manuscripts writing. Programming Languages and Toolboxes employed in the lab: Matlab, C/C++, Python, Shell Scripts, R, SAS, FSL, FreeSurfer, SPM, AFNI, etc. Operating Systems employed in the lab: Linux based high performance parallel computing system. Contact: The candidature (Research Statement, CV, copies of the transcript and diploma) goes to: Dr. Xiaobo Li Associate Professor of Biomedical Engineering Director of the Computational Neuroanatomy and Neuroinformatics Lab (CNN Lab) New Jersey Institute of Technology xiaobo.li(a)njit.edu ====================================== 10. The Charitable Foundation P&K Pühringer together with the Universities of Zurich and Geneva is inviting applications for Ph.D. and postdoc positions to study the practical implications of neuroeconomic theory and the neuroscience of learning in investment and wealth management. We seek outstanding young researchers as of August 2015: • 2 Post Doctoral Fellows in Neuroeconomics with experience in neuroimaging and/or computational models of decision making • 1 PhD Student in Neuroeconomics • 1 Post Doctoral Fellow in data analysis and machine learning Successful applicants will have joint appointments at the Universities of Zurich or Geneva and the Asset Management company ZZ Vermögensberatung (Schweiz) AG in Vitznau, Switzerland. The positions will be located at the RIC in Vitznau which offers a unique combination of a strong financial investment group and state-of-the-art neuroscientific methodologies as well as close links to the cereneo neurorehabilitation clinic which is housed under the same roof. The latter focuses on the neural processes underlying learning and recovery after brain lesions. We offer: • For postdocs, 2 year appointment renewable upon good performance up to 5 years. • State of the art neuroimaging, including 3T Philips Ingenia MRI, brain stimulation lab, and more • The opportunity to develop application-driven research at the intersection of finance and neuroscience • Interdisciplinary research evironment including experts in finance, neuroscience and neurology as well as finance professionals • Workplace in an attractive environment, located in one of the most beautiful regions of Switzerland We expect: • Strong background in Neuroeconomics / Neurofinance and data analysis, respectively, with above average track record • Willingness for independent and interdisciplinary work in unconventional, creative ways • Good communication skills • Commitment to a multi-year research project allowing development of own research ideas Applications should include a letter of motivation, CV, list of publications (with key pubilcations marked) as well as the names and addresses (including email) of two references. Please send applications in electronic form to Kai.Lutz(a)cereneo.ch or in paper form to cereneo AG, Dr. Kai Lutz, Seestrasse 18, 6354 Vitznau, Switzerland. The deadline for application is July 15, 2015. Outstanding late applications may be considered. ================================= 11. We are looking for a PHD Student. Please read all détails : TEAM HOME Thematic : Neurosciences Team name: Institute for Memory and Alzheimer’s Disease Team Home Manager Supervisor Harald Hampel HAMPEL Harald(PU) Title of the research unit: : Institut du Cerveau et de la Moelle Épinière (ICM), INSERM Name of Director : Alexis Brice PROPOSED TOPIC Title : Structural, Functional and Effective Connectivity of AD Related Neural Networks Project : Applications are invited for a fully funded PhD position (3 years) at the Pierre and Marie Curie University (Université Pierre et Marie Curie (Paris 6), UPMC, Paris, France), at the Doctoral School of Brain, Cognition, Behavior (Ecole Doctorale Cerveau-Cognition-Comportement, “ED3C”). The UPMC, part of the Sorbonne Universities, is the leading University in France in the area of science, technology, and medicine and among the leading universities in the world. The scientific policy of the “ED3C” is strongly characterized by its multidisciplinary nature and its commitment towards both human sciences and mathematical disciplines. Objectives : The PhD will be involved in the investigation of structural, functional and effective connectivity of neural network models related to Alzheimer’s disease (AD), such as the limbic system (especially the hippocampal formation, the amygdala, and the entorhinal cortex) and the basal forebrain cholinergic system using both Magnetic Resonance Imaging (MRI) and functional Magnetic Resonance Imaging (fMRI) including advanced tractography methods. The associations between brain pathology and indices of functional and structural connectivity are expected to help our understanding of the role of specific neural networks and their connectivity in brain function in healthy aging and neurodegenerative disease. The PhD student will be involved in the study of the multi-modal nature of specific neural networks – both in the structural and the functional domains and how these two components interact with each other – along with the staging spectrum of AD (from preclinical to prodromal to dementia). To this aim, he/she will have access to different landmark clinical cohorts and datasets of patients including the INSIGHT, SOCRATES, and EDSD cohorts. The PhD student will be involved in the exploration of the various uses that structural and functional neuroimaging biomarkers can play in detecting, diagnosing, assessing treatment response and in investigating neurodegenerative diseases with a special emphasis on AD. The successful applicant will work under the supervision of the AXA Research Fund and UPMC Chair, Prof. 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. Background There is growing evidence that brain activity supports complex cognitive function that occurs within large- scale brain networks rather than within single isolated brain regions. For the definition of connectivity of brain activity between brain regions, two major concepts have been applied (Horwitz, 2003). The first concept refers to functional connectivity, i.e., the correlation between neuronal changes within one brain region related to another (Friston, 1998). Functional connectivity has been applied to explore the correlative pattern of brain activity (Bokde et al., 2006; 2001). In contrast, effective connectivity refers to the causal influence of one brain region’s activity on another where that direction of influence can be explicitly modelled (Ramnani et al., 2004). Furthermore, global [rather than local] network properties may be characterized, using graph theory to describe the properties of a network’s architecture in terms of efficiency or connectedness (Bullmore & Sporns, 2009). In recent years, more and more centers have successfully begun employing formal network analyses as biomarkers of neurodegenerative diseases (Hampel et al., 2014; 2012; Horwitz & Rowe, 2011). Actually, current understanding of the effects of focal damage on neural networks is rudimentary, even though such understanding could provide greater insight into important neurological and neurodegenerative diseases (Bokde et al., 2008; 2006). AD is characterized by early, non-linear dynamic, chronically progressive cellular and molecular2 mechanisms (protein misfolding) leading to neurodegeneration that translates clinically into multi-domain cognitive and behavioral decline, psychopathological disturbances with subsequent loss of function to perform day-to-day tasks and ultimately total loss of independence. Findings derived from neuroimaging studies of both 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. Thus, a failure of the regions of a network to interact at a high level of coordination may underpin progressive cognitive decline which is present in AD (Bokde et al., 2009). The breakdown of network function may be due to interaction failure among the regions of a network, which is denoted the disconnection hypothesis (Friston, 1998). In other words, a disruption in the temporal- spatially coordinated activity among different regions in the brain rather than isolated changes in specific brain regions may underlie cognitive impairment in AD. The breakdown is thought to be due to progressive AD pathophysiology with underlying molecular mechanisms leading downstream to neuronal and synaptic dysfunction and ultimately to neuronal loss. Such AD-characteristic structural and functional alterations are hypothesized to reflect at least partially the progressive impairment of fiber tract connectivity and integrity (Stoub et al., 2006; Morrison & Hof, 2002), suggesting that the disconnection in AD is evident at both the functional and structural level. Notably, the multi-modal nature of networks should be examined, i.e., both the structural and functional components that define a network. Given the substantial changes that the brain undergoes with the presence of AD-related pathophysiology, these alterations will manifest themselves not only in the functional and structural modules but also in how the changes in the two domains interact with one another (Teipel et al., 2007a). Neuroimaging biomarkers will need to be developed and analyzed crossectionally and longitudinally in terms of underlying brain networks rather than in terms of individual regions (Horwitz & Rowe, 2011). Overall, the current discussion on AD argues that it presents in part a dynamically progressive structural, functional and metabolic disconnection syndrome that may undergo distinct stages from potentially reversible adaptation to functional compensation to irreversible decompensation. Studies using fMRI (Bokde et al., 2008; 2006) and electroencephalography (Jelles et al., 2008; Babiloni et al., 2006) demonstrate that synchronicity of brain activity is altered in AD and correlates with cognitive deficits. Moreover, recent advances in diffusion tensor imaging (DTI) to examine white matter microstructural changes have made it possible to track axonal projections across the brain, revealing substantial regional impairment in fiber-tract integrity in AD (Teipel et al., 2011; Teipel et al. 2007b). This work will substantially help develop biomarkers for early detection, prediction and progression of AD and will support the discovery and validation of markers that map the effects of disease modifying therapies on the brain, ultimately providing much needed surrogate biological markers. Key references Horwitz B. (2003). Neuroimage 19:466–470. Friston KJ. (1998). Schizophr Res 30:115–125. Bokde ALW et al. (2006). Brain 129:1113–1124. Bokde ALW et al. (2001). Neuron 30:609–617. Ramnani N. et al. (2004). Biol Psychiatry 56:613–619. Bullmore E & Sporns O (2009). Nat Rev Neurosci 10:186–198. Hampel et al. (2014) Biochem Pharmacol 88:426-449. Hampel et al. (2012) Alzheimers Dement 8:312-336. Horwitz B & Rowe JB (2011). Prog Neurobiol 95:505-509. Bokde ALW. et al. (2008). Psychiatr Res Neuroimaging 163:248 259. Bokde ALW et al. (2009). Prog Neurobiol 89:125–133 Stoub TR et al. (2006). Proc Natl Acad Sci USA 103:10041–10045. Morrison JH & Hof PR (2002). Prog Brain Res 136:467–486. Teipel SJ et al. (2007a). Brain 130:1745–1758. Jelles B et al. (2008). Clin Neurophysiol 119:837–841. Babiloni et al. (2006). Brain Res Bull 69:63–73. Teipel SJ et al. (2011) Hum Brain Mapp 32:1349-1362. Teipel SJ et al. (2007b). Neuroimage 34:985–995. Requirements The ideal candidate is expected to have a robust academic and science background. A preference will be given to students with profound knowledge in neuroscience, neuroimaging data analysis, applied mathematics, biostatistics, or computer science at the master’s level. Candidates demonstrating competencies on structural and functional MRI methods, knowledge and experience with MRI-related data analysis packages (SPM, Matlab, Freesurfer, AFNI), statistical softwares (e.g., SPSS or R), and programming skills (e.g., MATLAB, Python, C++) will have a strong advantage. The candidate has to be fluent both in written and spoken English. The position is expected to begin in October 2015. Applications should include a full Curriculum Vitae and a Cover Letter detailing the applicant’s interest and motivation for this position. Two letters of academic reference, assessing the applicant’s skills, research and learning potential, ability to team work and personality, should be sent independently by the referees. Applications together with all documents, including reference letters, should be submitted electronically to: e.mirassou-ihu(a)icm-institute.org with reference to “PhD position" in the E-mail header. Applications must be received within the 30th of June 2015. Best, -- 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) Email: e.mirassou-ihu(a)icm-institute.org -- 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 =========================================== 12. Research /Postdoctoral position Full-Time Regular Position (1.0 FTE) Start Date: July 1 (negotiable)- Located in Eugene, Oregon Description of Project: Relation of Consummatory and Anticipatory Food Reward to Obesity (Project Milkshake) and An fMRI Test of the Dynamic Vulnerability Model of Obesity: Risk Factor Plasticity (The Chocolate Study) Purpose of Position: The Research /Postdoc will participate as an active partner in conceptualizing, designing, and planning neuroimaging research projects. Participate in ongoing decisions regarding design, data analysis, data collection, and methodology. Conceptualize and perform pre-processing and analysis of fMRI data. Assist with running fMRI scans. Act as co-author or may take a lead role on research publications. Prepare and present findings at conferences. Suggest, plan, and implement pilot studies. Collaborate with researchers from other institutions. Position Requirements: I Knowledge, skills and abilities: Demonstrated knowledge of procedures and protocols for conducting all aspects of fMRI research projects. Must have a thorough knowledge of the extant literature in fMRI research. Demonstrated ability to communicate effectively in writing, as shown by having published articles in professional journals. Ability to supervise the work of other research staff. Excellent oral and written communication skills, including public speaking. Ability to work effectively with diverse people of racial, cultural and ethnic backgrounds valued. Must have good interpersonal skills. Demonstrated grant writing ability desirable. Must be able to work flexible hours and/or increase hours during critical phases of a project. II Experience and training: Ph.D. in social or behavioral science with four (4) years of increasingly responsible research experience with neuroimaging and neuroimaging analysis, or any equivalent combination of education and experience which provide the applicant with the knowledge, skill, and ability to perform the job. Experience in the preparation of manuscripts for publication. Working knowledge of statistical procedures and program packages to perform fMRI preprocessing and data analysis. Experience working with individuals from diverse cultural, ethnic and racial backgrounds valued. III Personal traits and characteristics: Must be able to work effectively with others, value working in a collaborative environment. Successful candidates will be reliable, able to meet project obligations, and have good self-management skills that enable them to accomplish activities within project time constraints. Must be able to interact comfortably with individuals from different socioeconomic classes and cultures. Must be discreet and willing to adhere to the principals of confidentiality governing research work and the ORI computer acceptable use policy. Apply at http://ori.applicantpool.com/jobs/ Visit our website at http://www.ori.org/ ============================================

1 0

YNiC seminar 25th June
by rem 22 Jun '15

22 Jun '15

Dear Users This Thursday (from 4 pm in B020) Dr. Rebecca Jackson, University of Manchester, will give a Connectivity Club talk on *"The use of Novel and Convergent Methodologies to assess Semantic and Default Mode Networks"*. http://www.manchester.ac.uk/research/rebecca.jackson/personaldetails Everyone is welcome to attend and refreshments will be available after the seminar. Best wishes Rebecca -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

1 0

PhDs & jobs
by Gary Green 12 Jun '15

12 Jun '15

1. hD and postdoc positions are available at the Queensland Brain Institute, University of Queensland, Brisbane, Australia. The research focus is to understand the functional connectivity using rodent (especially transgenic mouse) models of diseases with structural, functional and molecular imaging. Specifically we will examine genetic mutation dependent change of the connectome and its relationship with neurotransmission, behaviour and other disease phenotypes. For detail about the position and application please see: http://jobs.uq.edu.au/caw/en/job/497432/postdoctoral-research-fellowresearc… ========================= 2. Two 36 months PhD positions are available in the Cognitive Psychology & Neuroscience Group (http://webpsy.uni-graz.at/cognitive/) at the Department of Psychology, University of Graz. The positions are available immediately (as of 28 May 2015). The positions are part of the project “Attention and Memory in Overt Visual Search: Investigating Online Processing of Targets and Distractors with Fixation-Related Potentials and Fixation Based Event-Related fMRI Analysis” (PIs C. Körner & A. Ischebeck) funded by the Austrian Science Fund (FWF). The project uses combinations of eye tracking and EEG/ERP or fMRI to investigate the neural basis of target and distractor processing in visual search with eye movements. The job requirements are research in the field of Experimental Psychology and Cognitive Neuroscience as well as publishing in peer-reviewed scientific journals and presenting results at international conferences supported by the PIs. We seek applicants with a master’s degree in Cognitive Neuroscience, (Experimental) Psychology, or a related field. A solid knowledge in Experimental Psychology and Cognitive Neuroscience is desirable, as well as methodological knowledge in the field of either EEG, fMRI or eye tracking. Strong computer programming and statistical skills are advantageous. Salary will be in accordance with FWF regulations (http://www.fwf.ac.at/en/research-funding/personnel-costs/; gross income € 2024.90 p.m.). Please apply by sending a CV, a short description of your Master’s Thesis and relevant background, and contact details of a referee to Christof Körner (christof.koerner [at] uni-graz.at). Direct inquiries may also be sent to this address. Review of applications will continue until the positions are filled. Dr. Christof Körner Arbeitsbereich Allgemeine Psychologie Institut für Psychologie, Karl-Franzens-Universität Graz Universitätsplatz 2, A-8010 Graz, Austria Phone + 43 - 316 - 380 - 5108 ================================= 3. Applications are invited for a two-year Marie-Curie Fellowship for a post-doctoral scientist position at the BIND - Behavioral Imaging and Neural Dynamics Center, University "G. d'Annunzio" of Chieti-Pescara (Italy). The position is funded by the European project ANDREA - Active Nanocoated DRy-electrode for Eeg Applications (http://www.andreaproject.eu; http://cordis.europa.eu/project/rcn/109927_en.html), whose main objective is to develop a novel dry electrode EEG system with adjustable cap network provided with an automated sensor positioning mechanism, active pre-amplification and a software toolbox for automatic artifacts removal. The successful applicant will mainly contribute to the development and implementation of novel analytical methods for the processing of electroencephalographic (EEG) signals recorded with prototype EEG systems developed in the ANDREA project. The developed analytical methods will be validated within the framework of multimodal and interdisciplinary studies on the neural correlates of human behavior in clinical and non-clinical populations. Candidates with an excellent academic record in computational neuroscience (or biomedical engineering, or applied physics, or similar), good programming abilities and a strong background in human EEG data analysis are welcome to apply. Knowledge of, and/or experience with, physiological recordings would be a plus. Candidates must be fluent in spoken and written English, and have good communication and team work skills. The position is funded for two years, beginning in Fall 2015. Gross yearly salary will be € 62.361,00 plus €. 11.832,60 for mobility. Candidates must fulfill the eligibility criteria foreseen for this position by the EC: they must have more than 4 and less than 10 years of research experience, and they must have not resided or having carried out study or research activities in Italy for a total of more than 12 months during the 3 years immediately preceding the beginning of this position. The successful candidate will benefit from the interdisciplinary and intersectoral environment of the ANDREA Project, as well as from the state-of-the-art neuroimaging facilities available. Further information regarding this position and the application procedures can be obtained by contacting Prof. Silvia Comani, Head of the BIND Center and Coordinator of the ANDREA Project (comani(a)unich.it). Deadline for applications: July 13, 2015. =========================== 4. Postdoctoral Position in the new Motor Control Group at Western University (PI: Jörn Diedrichsen). The Motor Control Group at Western University is recruiting 1-2 new full-time postdoctoral fellows. The laboratory investigates motor skill learning and motor coordination in the human brain. We use a combination of experimental and computational methods, ranging from functional magnetic resonance imaging (with focus on multivariate analysis techniques), behavioral experiments, neuro-stimulation, and computational modelling. Applicants with an interest in either basic neuroscience research of motor control, method development for functional imaging, and research in clinical applications of motor control are encouraged to apply. For more information about the lab, see: http://www.icn.ucl.ac.uk/motorcontrol/. The laboratory is currently in the process of moving from University College London to the Brain and Mind Institute Western University (www.uwo.ca/bmi ), where we will collaborate tightly with the research groups of Dr. Andrew Pruszynski and Prof. Paul Gribble. Our facilities at Western include a full range of high and ultra-high field, research-only, MRI scanners (3T, 7T, and 9.4T), a range of robotic and recording devices for the study of arm and hand function, and access to a large neurological patient population in affiliated teaching hospitals. Cognitive Neuroscience is a key area of research strength at Western University with more than 25 Principal Investigators and nearly 200 trainees in the Brain and Mind Institute. A Ph.D. degree in neuroscience, psychology, computer science, engineering, kinesiology, or related fields is required. Annual salary will be $42,000 - $46,000 CND, depending on the level of experience. Initial appointments will be for a period of 2 years, with a possibility for renewal. Further inquiries and applications including a CV and a statement of research interest should be sent by email to: j.diedrichsen(a)ucl.ac.uk. The review of applications will begin on July 15st and continue until the positions are filled. ============================= 5. A computer scientist position is available with the Neuroimaging Research for Veterans Center at the Veterans Administration Hospital in Jamaica Plain, Massachusetts SALARY RANGE: $64,020.00 to $83,227.00 / Per Year OPEN PERIOD: Monday, June 8, 2015 to Friday, June 12, 2015 SERIES & GRADE: GS-1550-11 POSITION INFORMATION: Full Time - Term NTE 3 years DUTY LOCATIONS: 1 vacancy in the following location: Boston, MA NOTE: This is a TERM appointment (not-to-exceed 3 years). Term appointments are non-status, nonpermanent appointments of limited duration (more than 1 year but not more than 4). Term employees are eligible to earn leave and generally have the same benefits as permanent employees including health and life insurance, within-grade increases and Federal Employees Retirement System and Thrift Savings Plan coverage. Term appointments may be extended without further competition (up to the 4 year maximum). The appointment to a Term position does not confer eligibility for promotion or reassignment to other positions or the ability to be non-competitively converted to permanent employment. Employee will be assigned to the Neuroimaging Research For Veterans Center (NeRVe), VA Boston Healthcare System, Jamaica Plain, MA, performing life cycle analysis and program management for data management functions involved in collecting, storing, analyzing, and sharing clinical and research neuroimaging data through a web-based system that includes Statistical Parametric Mapping (SPM), Freesurfer, and/or FMRB (Functional Magnetic Resonance of the Brain) using a variety of languages such as: C#, SQL, XML, VBSCRIPT, JAVASCRIPT, XSLT, XQUERY, and Matlab. Duties include, but may not be limited to the following: Position requires extensive knowledge of Unix/Linux operating systems; and involves working with researchers to determine their needs; performs analyses of the research studies and clinical trial protocols to perform systems analyses for determining the data requirements, design application and data storage systems and technologies, and complex issues of data migration/work flow processing that are appropriate for the storage methods. Conducts hardware and software analysis; performs cost factors analysis; analyzes and determines vendor options; and tests vendors' products to determine their operational effectiveness and efficiency for the NeRVe requirements. Performs analysis of clinical trials electric data capture requirements for screening, randomization, kit assignment, serious adverse events, data collection, and reporting. Performs mapping analyses needed to determine data assurance and security requirements for data migration; determines data backup systems and protocols needed to support web-based applications and the data warehouse; and evaluates the researchers' clinical trial data reporting requirements and determines the actions to implement required changes, while concurrently ensuring data integrity and information security assurance throughout the enterprise. Works closely with Information Resource Management (IRM) personnel to accomplish systems and program administrative compliance in conjunction with IRM requirements and security protocols; and educates and trains new users of the system and helps to troubleshoot and resolve system problems for all users. Qualifications: BASIC EDUCATION REQUIREMENT –Applicants must possess a bachelor's degree (or higher) from an accredited college or university in computer science or a bachelor's degree that included 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. (TRANSCRIPT REQUIRED) SPECIALIZED EXPERIENCE: In addition to meeting the basic education requirement above, applicants must have at least one (1) year of specialized experience that equipped them with the knowledge, skill, and ability to successfully perform the duties of this position, and that is typically in or related to the work of this position. To be creditable, this specialized experience must have been equivalent to at least the GS-9 grade level in the Federal service. Specialized experience includes: professional positions which primarily involve the application of, or research into, computer science methods and techniques to store, manipulate, transform or present information by means of computer systems. The primary requirements of the work are (a) professional competence in applying the theoretical foundations of computer science, including computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations; (b) specialized knowledge of the design characteristics, limitations, and potential applications of systems having the ability to transform information, and of broad areas of applications of computing which have common structures, processes, and techniques; and (c) knowledge of relevant mathematical and statistical sciences. Knowledge of health services research; training researchers and clinicians; and working with Unix/Linux operating systems is also required. OR SUBSTITUTION OF EDUCATION FOR EXPERIENCE (TRANSCRIPT REQUIRED): Three (3) years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree that provided the knowledge, skills, and abilities necessary to do the work of this position is qualifying at the GS-11 level. OR COMBINING EDUCATION AND EXPERIENCE (TRANSCRIPT REQUIRED) - Combination of successfully completed graduate education and experience may be used to meet total qualification requirements. You can apply for the position through USA Jobs here- https://www.usajobs.gov/GetJob/ViewDetails/405836700 ================================== 6. Research Associate Position in Cambridge (UK) Applicants should have a PhD degree with a strong background in neuroimaging and neuroscience to join the Drug Addiction Research group on 1 October 2015 for at least 2 years. The group focuses on functional and structural brain abnormalities associated with the risk of and resilience to drug addiction, and the effects that chronic drug exposure has on the brain. Proficiency with Python, Matlab, or R languages, and other neuroimaging analysis software (e.g. FSL, AFNI, SPM, etc.) and experience with fMRI and DTI analyses are expected. In order to maximise the research outputs from the data, a demonstrated interest in researching, developing, applying and interpreting novel analysis methods is highly desirable. Salary £28,695-£37,394 Category Human Neuroimaging Research Reference Number RN06116 Informal enquiries may be directed to Dr Karen Ersche via email to ke220(a)cam.ac.uk. ==================================== 7. Postdoctoral studies in advanced functional magnetic resonance imaging analysis (scholarship; extended application deadline) . We are seeking a highly talented and enthusiastic researcher with a PhD in neuroimaging awarded within the past three years to work on projects in which advanced functional magnetic resonance imaging (fMRI) analysis methods are applied to the problem of how we perceive our own body in space. The research will be conducted at the Brain, Body and Self Laboratory at the Department of Neuroscience (www.ehrssonlab.se). This center has widespread expertise in fMRI, and the Karolinska Institutet has two MR-centers with state-of-the-art 3T MR scanners (GE and Siemens, respectively). The ideal candidate will have expertise in the acquisition and analysis of fMRI data, as well as excellent programming skills (preferably including MatLab and C++). Expertise in multivoxel pattern analysis, voxel-based receptive field mapping or dynamic causal modeling would be an advantage, as would an undergraduate education in engineering (or a related area). The candidate is expected to work on projects in which advanced fMRI methods are applied to questions relating to how multisensory signals from the body are integrated at the levels of cortical and subcortical structures and/or the decoding of body illusions; however, purely technical projects involving method development are also possible. Good social skills are important as the candidate is expected to actively collaborate with other members of the laboratory, in addition to running his or her own project. Applicants should be able to demonstrate a consistently good academic record, including publications in international journals. For full and and details about the application procedure visit: https://ki.mynetworkglobal.com/en/what:job/jobID:67803/where:4/ Application deadline: June 30 (extended) Henrik Ehrsson, M.D., Ph.D. Professor Karolinska Institutet Department of Neuroscience Brain, Body and Self Laboratory Adress: Retzius väg 8, SE-17177 Stockholm, Sweden Phone: +46-(0)852487231 Fax: +46-(0)852487126 Email: Henrik.Ehrsson(a)ki.se Web: www.ehrssonlab.se ============================== 8. We would greatly appreciate your help with disseminating the following PhD opportunity to potential candidates, e.g. suitable Msc students. It is a fully funded (fees and stipend) cotutelle (50/50) studentship between Aston and Macquarie and the student will spend 1.5 years at each site, starting at Aston and with an optional 4th write-up year at Aston (fees covered for 4 years, stipend for 3 years). Please note that this studentship is only open to UK/EU and AUS/NZL students but not to students from other countries. The project will use MEG to investigate local and global connectivity in autism. Further information is available here: http://www.findaphd.com/search/ProjectDetails.aspx?PJID=64012 Many thanks for your help! Klaus Professor Klaus Kessler Aston Brain Centre School of Life and Health Sciences Aston University Aston Triangle Birmingham, B4 7ET Phone: +44 (0)121 204 3187

1 0

Fwd: SAVE THE DATE - First stand alone symposium of the nascent European MEG Society on MEG resting state functional connectivity - Brussels - 23rd October 2015
by Gary Green 11 Jun '15

11 Jun '15

You are cordially invited to the first stand alone symposium of the EMEGS. The title of the symposium is "*Investigation of resting state functional connectivity with MEG: **From theory to clinical applications."* This event will be a unique occasion to be introduced to the theoretical aspects of MEG resting state functional connectivity and to discover how recent research and discoveries in this field will lead to potential future MEG clinical applications. The symposium will be held at the Hotel Bedford in the centre of Brussels on Friday 23rd October 2015. See the attached invitation for more information. * * Attendance will be free Final program will follow. * * Please, share this invitation with your collaborators who might be interested by the event. * * We are very much looking forward to welcoming you in Brussels on the 23rd October. Best regards, Xavier * * ** **

1 0

YNiC seminar postponed
by rem 11 Jun '15

11 Jun '15

Dear Users Rachel Woodall's project presentation, which was scheduled for this afternoon, has been postponed. Best wishes Rebecca -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

1 0

YNiC seminar 11th June
by rem 08 Jun '15

08 Jun '15

Dear Users This Thursday (from 4 pm in B020) Rachel Woodall will give an internal project proposal presentation on "*Assessing visual cortex in candidates for retinal prothetics*". Everyone is welcome to attend and refreshments will be available after the seminar. Best wishes Rebecca ** -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

1 0

10 jobs/PhDs etc
by Gary Green 05 Jun '15

05 Jun '15

1. PHD-POSITIONS IN COMPUTATIONAL NEUROSCIENCE/BIOLOGY IN OSLO, NORWAY Several PhD positions are available in the SUURPh (SIMULA-UiO-UCSD) collaboration: https://www.simula.no/education/suurph-collaboration PhD-candidates will expectedly spend about 3 years in Oslo (UiO or SIMULA) and about year at UCSD. Possible PhD-projects include: modeling of interaction between ion channels and psychoactive drugs, modeling of memory processing in hippocampus and entorhinal cortex, modeling of liquid flow in the brain, biophysical modeling of EEG and MEG signals, biomechanical modeling of the human brain. For more info on projects see: https://www.simula.no/suurph-projects Students interested in becoming a SUURPh fellow should consult the Applicant's page: https://www.simula.no/students-page. Here you will find all relevant information and instructions to submit your application. ********************************************** Professor Gaute T. Einevoll Department of Mathematical Sciences and Technology Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, Oslo, Norway Ph. +47-64965433, Mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no, web: compneuro.umb.no, cinpla.org ==================================== 2. Prof Chris Plack and Dr Michael Stone are offering a 3-year fixed term MRC-funded full time job in the Audiology & Deafness Research Group at the University of Manchester, UK. Start date is nominally August 1st 2015. The topic under investigation concerns the diagnosis of, and implications of, the progression of noise-induced hearing loss in humans. The advert and further details are listed at : https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=9850 sincerely ---------------------------------------------------------------------------------------------- Dr Michael Stone, Senior Research Fellow in Audiology / Hearing Sciences A3.16, Ellen Wilkinson Building, University of Manchester, Manchester, M13 9PL, UK Tel: +44 161 275 8563, Fax: +44 161 275 3373, www.psych-sci.manchester.ac.uk =============================== 3. The Rehabilitation Neuroscience Laboratory (RNL) is recruiting a full-time postdoctoral fellow to join us as early as September, 2015. This individual will join a highly collaborative and collegial team of scientists and trainees from diverse backgrounds who are working to understand the consequences of upper extremity injury, amputation, and hand replantation/transplantation on human brain organization and daily living. Requirements include a relevant Ph.D. and/or M.D. degree(s), and a high level of intrinsic motivation. The successful individual will have the ability to work independently and collaboratively, and possess solid computational and computer skills. Prior experience with EEG is highly desirable for this position. Likewise, expertise with one or more of the following is a plus: electromyography, transcranial magnetic stimulation, functional and structural magnetic resonance imaging. The RNL is directed by Dr. Scott H. Frey and will relocate to Washington University School of Medicine in July, 2015. We will have strong connections with neuro-, behavioral- and clinician-scientists throughout the university system. The RNL provides a challenging and supportive environment in which to gain additional training, and has a history of success in preparing postdoctoral scientists for independent research careers. Interested individuals are welcome to contact Dr. Frey directly for additional information at: freys(a)missouri.edu ================================= 4. Postdoctoral Position in Neuromuscular Rehabilitation and Neuroimaging Description: Applications are now being accepted for a Postdoctoral Fellowship position at the Human Performance and Engineering Lab at Kessler Foundation in collaboration with New Jersey Medical School of Rutgers University. The 2-3 year program prepares biomedical scientists, including engineers (e.g. biomedical, electrical, rehabilitation), neuroscientists, kinesiologists, and those in related fields, for a career in rehabilitation research within the specialty area of neuromuscular rehabilitation. The successful candidate will work principally on a 5 year NIH funded research study aimed at investigating the neurophysiological effect of mental and physical training on mitigating cancer- and/or cancer treatment-related weakness. The successful applicant will also be expected to develop his/her own mentored research project as well as have the opportunity to work on other projects in neuromuscular rehabilitation in diverse patient populations including traumatic brain injury, multiple sclerosis, spinal cord injury and stroke. He/she will work on various aspects of research projects from inception (e.g., study formulation, grant-writing, etc.), through dissemination (conference presentation and manuscript publication). Opportunities of collaborating with clinicians on existing or future clinical research are also available. All fellows participate in an extensive training curriculum and didactic offerings. Multidisciplinary mentored training opportunities are individually tailored to achieve specific goals considering each fellow’s prior background and interests. Principal Investigator: Dr. Guang Yue, Ph.D. Qualifications: · Applicants with specific interests and/or experience in the following areas: Neuromuscular rehabilitation; biomedical signal processing (e.g., EEG, TMS and EMG); brain and muscle electrophysiology; functional and structural MRI. · Qualified candidates must have an earned doctorate in biomedical engineering, neuroscience, kinesiology or a related field with a background in signal processing or/and image processing (EEG, MRI, fMRI). Working knowledge of at least one programming language is mandatory. · Preferences will be given to candidates with expertise in Matlab programming as well as image processing software such as EEGLAB, FSL, AFNI. · Strong candidates will have prior experience in performing research studies in human subjects, as well as some history of publication and presentation of original research. · Additional desirable skills and experience include: experience with EEG/EMG data collection and analysis, biomedical instrumentation, ability to independently develop data processing/analysis methods, knowledge of statistical data analysis, and excellent written communication skills. Kessler Foundation and the Fellowship program The Kessler Foundation Research Center is a division of Kessler Foundation, a public charity that advances its mission of improving the lives of people with disabilities through research and grant-making programs. The Kessler Foundation Research Center is affiliated with the renowned Kessler Institute for Rehabilitation in West Orange, New Jersey and enjoys close collaborations with partners at the New Jersey Institute of Technology, Rutgers University, Seton Hall University, New York University, and the University of Delaware. Kessler Foundation is one of the few rehabilitation institutions in the United States who has a research dedicated state-of-the-art 3T Siemens MRI system at the Rocco Ortenzio Neuroimaging Center. This offers unique research opportunities and training in neuroimaging. Applicants are encouraged to visit the Foundation website (http://www.kesslerfoundation.org/research/) to learn about the missions, activities, and resources and its laboratories, in particular the Human Performance and Engineering Lab. Administration of the ARRT fellowships occurs under the Department of Physical Medicine and Rehabilitation at the New Jersey Medical School of Rutgers University in Newark. As such, fellows enjoy the benefits and academic resources available to all post-doctoral fellows at the Medical School. Fellows may also be recommended for an academic appointment at the rank of Instructor. How to apply To apply, please send your (1) CV, (2) a cover letter summarizing relevant research expertise, experience and interest to Dr. Allexandre at dallexandre(a)kesslerfoundation.org. Please include the reference number “HPEL01-FSL” in your application. APPLICATION DEADLINE: 6/30/2015 or until filled We are equal opportunity employers. ========================================== 5. Urgent : Opening of an MRI Research engineer position The Marseilles' fMRI Centre (http://irmfmrs.free.fr), a neuroimaging platform belonging to the Institut des Neurosciences de La Timone (http://www.int.univ-amu.fr/), is opening an MRI Research Engineer position. This opportunity has been made possible due to the acquisition of a new ultra-high gradient 3T MRI scanner and its installation in the European Centre for Research in Medical Imaging (CERIMED), a new platform for multi-modality, multi-species in-vivo imaging. The engineer’s main responsibilities will be to help with the installation of the new 3T MRI scanner (Siemens Prisma, installation planned for November 2015) and to set-up, implement and validate the most recent MRI acquisition methods, which will underpin competitive research projects on structural and functional neuro-imaging protocols. The successful candidate will have a PhD and/or an Engineering diploma: a biomedical physicist or an engineer specialised in MRI and clinical imaging. See the detailed profile of the position at the end of this email. Recruitment date: 1st of October 2015 Contract duration: 12 months, renewable. Net salary: 23.160 – 26.800 Euros / year, depending on experience (plus full social benefits) Application closing date: June, 30th 2015 The application should contain a letter of motivation, a complete Curriculum Vitae and references. For administrative purposes, the CV should also specify details about previous contracts : employers, start and end dates, type of contract (temporary / permanent, public / private). Information requests and applications should be addressed to : Jean-Luc.Anton(a)univ-amu.fr and Pascal.Belin(a)univ-amu.fr -- Jean-Luc Anton ________________________________________________________ Centre de recherche en IRM fonctionnelle cérébrale (Marseille) Email : Jean-Luc.Anton(a)univ-amu.fr Tel. : (33) (0)4 91 38 47 56 Web : http://irmfmrs.free.fr ________________________________________________________ JOB DESCRIPTION : MRI Research engineer Laboratory Code unit: UMR7289 Name of Unit: Centre IRMf, Institut de Neurosciences de la Timone UMR7289 CNRS & AMU Director: Guillaume MASSON Address: Faculté de Médecine de la Timone 27 Bd Jean Moulin 13005 Marseille Localisation of position: Marseille, FRANCE Responsibilities The MRI Research Engineer will be responsible for the set-up, implementation and validation of MRI acquisition methods necessary for the realisation of structural (high-resolution anatomical, diffusion) and functional neuro-imaging protocols. He/she is responsible for the proper functioning of the 3T MR system in liaison with the manufacturer. He/she will contribute to the set-up of the processing pipeline included in the services offered by the fMRI Centre. Duties * Perform initial tests, reception and set-up of the new 3T MR system in close relationship with the manufacturer to enable an efficient restart and fully functional follow-up. * Examine the needs of researchers in integrative and cognitive neurosciences relative to their research objectives. Evaluate and propose the most appropriate imaging techniques and methods. * Organise the choice, set-up, implementation and validation of MR acquisition methods in human and non-human primates, while encouraging scientific collaboration with the manufacturer, partner laboratories and neuroimaging platform networks. * Pilot, interpret and validate measures for their scientific exploitation. * Supervise R&D research work in MR physics and its application to neuroimaging. * Keep up-to-date with technical advances in MR physics, its applications, acquisition protocols and advanced neuroimaging analysis methods. * Present, distribute results. * Supervise safe practice procedures. Study risks associated with hardware: train users on risks associated with MRI. * Contribute to the exploitation of scientific data by setting up tools for organizing data processing. * Supervision: yes * Project leading: yes Skills Ph.D. and/or Engineering diploma: a biomedical physicist or an engineer specialised in MRI and clinical imaging. The applicant will have a good knowledge of: * MR Physics : - Acquisition sequences - Reconstruction algorithms - MR hardware (RF-coils, gradient system) * Analysis and validation of data quality * Processing and analysis of cerebral MR images * Software development tools * Office software tools * Scientific and technical English Abilities * To understand cognitive and integrative neuroscience protocols in humans and non-human primates * To propose pertinent acquisition solutions adapted to the capabilities of the 3T MR system, which emphasize collaborative links with the manufacturer and the Centre’s partner laboratories. * To work in a multidisciplinary environment at the interface of a variety of scientific and technological domains Context and working environment The Marseilles' fMRI Centre (http://irmfmrs.free.fr/) is a neuroimaging platform belonging to the Institut des Neurosciences de La Timone (http://www.int.univ-amu.fr/), affiliated to the CNRS and Aix-Marseille University. It provides neuroscientists, psychologists and clinicians with magnetic resonance imaging (MRI) services and is involved in clinical, fundamental and methodological research as well as technical development through collaboration with local, national and international research groups, and has strong involvement in training and teaching. The fMRI Centre operates a 3 Tesla MR system fully dedicated to neuroscience and psychology research in human and non-human primates, equipped with high-end stimulation and recording systems. The Centre is run by two CNRS Research Engineers (Drs Jean-Luc Anton and Bruno Nazarian) and a Scientific Director from Aix-Marseille University (Dr Pascal Belin). The fMRI Centre is currently engaged in an ambitious new development, with the ongoing purchase of the latest-generation, research-oriented 3T scanner equipped with ultra-high gradients and state-of-the art RF systems, and a move to the recently inaugurated European Centre for Research in Medical Imaging (CERIMED, http://cerimed-web.eu/), a new platform for multi-modality, multi-species in-vivo imaging on the La Timone campus, where the new scanner (Siemens Prisma) will be installed in November 2015. These developments are actively supported by Aix-Marseille University, CNRS and the France-Life Imaging infrastructure. In the context of these developments, the fMRI Centre is recruiting an MRI Research Engineer, who will have three tasks. First he/she will participate in the reception and set-up of the new scanner, in liaison with the manufacturer, and will gauge technical requests from scientific users to ensure the most efficient restart and development of scanning activities. Second, in order to best exploit the strong potential of the latest-generation 3T system, the engineer will implement, parametrize, test and validate the most recent acquisition sequences (multi-band EPI, local quantification of micro-structures, …) to enable and contribute to competitive scientific projects involving, e.g., high-resolution EPI and DTI, imaging in non-human primates, and foetuses. The engineer will play a leading role in the scientific partnership with the manufacturer, with partner laboratories (CRMBM, Neurospin, Maastricht, MGH, ...) and with the national and international networks of neuroimaging platforms (CENIR, CERMEP, ...). Third, in interaction with the other engineers of the Centre and CERIMED, the engineer will contribute to the development of the services offered by the Centre in terms of data organization (set-up of databases) and data pre/post-processing (set-up of processing tool pipelines). =============================== 6. Applications are invited for a two-year Marie-Curie Fellowship for a post-doctoral scientist position at the BIND - Behavioral Imaging and Neural Dynamics Center, University "G. d'Annunzio" of Chieti-Pescara (Italy). The position is funded by the European project ANDREA - Active Nanocoated DRy-electrode for Eeg Applications (http://www.andreaproject.eu; http://cordis.europa.eu/project/rcn/109927_en.html), whose main objective is to develop a novel dry electrode EEG system with adjustable cap network provided with an automated sensor positioning mechanism, active pre-amplification and a software toolbox for automatic artifacts removal. The successful applicant will mainly contribute to the development and implementation of novel analytical methods for the processing of electroencephalographic (EEG) signals recorded with prototype EEG systems developed in the ANDREA project. The developed analytical methods will be validated within the framework of multimodal and interdisciplinary studies on the neural correlates of human behavior in clinical and non-clinical populations. Candidates with an excellent academic record in computational neuroscience (or biomedical engineering, or applied physics, or similar), good programming abilities and a strong background in human EEG data analysis are welcome to apply. Knowledge of, and/or experience with, physiological recordings would be a plus. Candidates must be fluent in spoken and written English, and have good communication and team work skills. The position is funded for two years, beginning in Fall 2015. Gross yearly salary will be € 62.361,00 plus €. 11.832,60 for mobility. Candidates must fulfill the eligibility criteria foreseen for this position by the EC: they must have more than 4 and less than 10 years of research experience, and they must have not resided or having carried out study or research activities in Italy for a total of more than 12 months during the 3 years immediately preceding the beginning of this position. The successful candidate will benefit from the interdisciplinary and intersectoral environment of the ANDREA Project, as well as from the state-of-the-art neuroimaging facilities available. Further information regarding this position and the application procedures can be obtained by contacting Prof. Silvia Comani, Head of the BIND Center and Coordinator of the ANDREA Project (comani(a)unich.it). Deadline for applications: July 13, 2015. ======================= 7. Research Associate Position in Cambridge (UK) Applicants should have a PhD degree with a strong background in neuroimaging and neuroscience to join the Drug Addiction Research group on 1 October 2015 for at least 2 years. The group focuses on functional and structural brain abnormalities associated with the risk of and resilience to drug addiction, and the effects that chronic drug exposure has on the brain. Proficiency with Python, Matlab, or R languages, and other neuroimaging analysis software (e.g. FSL, AFNI, SPM, etc.) and experience with fMRI and DTI analyses are expected. In order to maximise the research outputs from the data, a demonstrated interest in researching, developing, applying and interpreting novel analysis methods is highly desirable. Closing date 15 June 2015 Start date 01 October 2015 Website http://www.jobs.cam.ac.uk/job/7027/ Salary £28,695-£37,394 Category Human Neuroimaging Research Reference Number RN06116 Informal enquiries may be directed to Dr Karen Ersche via email to ke220(a)cam.ac.uk. =============================== 8. Open position: PhD in multimodal imaging of the vulnerability to develop schizophrenia OFFICE MEDICO-PEDAGOGIQUE, Laboratoire de neurosciences et neuroimagerie en psychiatrie de l’enfant et de l’adolescent Starting date: October 1st 2015 Working environment: In the context of a longitudinal study started 10 years ago, we perform a multidisciplinary evaluation of patients with the 22q11.2 deletion syndrome, a neurogenetic condition that confers a high risk of developing schizophrenia. Our protocol includes MRI acquisitions of structural, functional and diffusion images and their analysis with gold-standard neuroimaging tools. By investigating morphological and connectivity alterations associated to the microdeletion and to the onset of psychotic symptoms, we aim at identifying potential biomarkers for the development of schizophrenia. Tasks of the PhD student: To work in collaboration with clinical and engineering departments for the development and application of new methodologies, to analyze complex multimodal and longitudinal fMRI data, to participate at MRI data acquisition, manuscripts writing. Methods employed in the lab: Cortical morphometry (thickness, gyrification), voxelbased DTI, tractography, resting-state fMRI, graph theory, pattern recognition, multivariate pattern analysis (MVPA). Toolboxes employed in the lab: Matlab, SPM, FSL, FreeSurfer, connectomemapper. Academic requirements: Master in medicine, psychology, biology, sciences, mathematics, engineering, neurosciences or equivalent title. Expertise in brain imaging and/or programming is not mandatory but highly preferred. Contact: The candidature (motivation letter, CV, copy of the diploma and graduations, possibly letter of recommendation) has to be sent preferentially by email by the 21st of June to the following addresses: Maria Carmela PADULA: maria.padula(a)unige.ch Elisa SCARIATI: elisa.scariati(a)unige.ch https://www.unige.ch/medecine/psyat/fr/groupes-de-recherche/stephan-eliez/ =========================== 9. I would like to bring the following post to your attention: Research Fellow in Developmental Cognitive Neuroscience at the University of Southampton (UK) We are seeking a Research Fellow to start in August 2015 or soon thereafter. The post is funded for one year in the first instance, but with the possibility of extension. The aim of the project, which is a multi-site study funded by the EU, is to investigate sex differences in antisocial behaviour in children and adolescents using functional and structural neuroimaging, genetic, psychophysiological, and neuropsychological methods. Experience with fMRI data collection and analysis (including functional and effective connectivity methods) is highly desirable, but we would also consider candidates with expertise in structural MRI or DTI data analysis. The project has been running for two years and half of the overall dataset has been collected already, so the successful applicant would be able to start analysing functional and structural MRI data and preparing papers for submission straight away. The closing date for applications is the 26th June 2015. For further information about the post, and to apply via the University of Southampton’s application system, please see here: https://www.jobs.soton.ac.uk/Vacancy.aspx?ref=575415JW Please feel free to contact me with informal enquiries about the post or the project at: g.f.fairchild(a)soton.ac.uk<mailto:g.f.fairchild@soton.ac.uk> Thanks for your attention, - Graeme Fairchild Dr Graeme Fairchild Associate Professor in Clinical Psychology Academic Unit of Psychology University of Southampton Shackleton Building Highfield Campus Southampton SO17 1BJ United Kingdom Office tel: +44 (0) 2380 593843 Mobile tel: +44 (0) 7748 062553 www.psychology.soton.ac.uk ====================== 10 Our lab (www.ccnlab.net) recently received funding for a PhD and postdoc position at the interface between machine learning (deep learning, Bayesian modeling, computational linguistics) and neuroscience: http://www.ru.nl/english/working/job-opportunities/details/details-vacature… http://www.ru.nl/english/working/job-opportunities/details/details-vacature… The positions deal with the development of new computational models to probe how naturalistic representations are encoded across the cortical surface. For the PhD position, we are looking for candidates with a Master’s degree in cognitive (neuro)science, computational neuroscience or a related area of research. Candidates should have excellent programming skills, a strong mathematical background and prior experience with acquisition of neural data. For the postdoc position, we are looking for candidates with a PhD degree in machine learning, artificial intelligence, computational neuroscience, applied mathematics or a related area of research. Candidates with a degree in cognitive neuroscience and a strong mathematical background would also be eligible. Start of the project is negotiable but preferably September 2015. ---------------

1 0

no YNiC seminar this week
by rem 01 Jun '15

01 Jun '15

Dear Users There will not be a YNiC seminar this week. Best wishes Rebecca -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

1 0

weekly job/phds announcements - 8 this week
by Gary Green 29 May '15

29 May '15

1. Dear all, Poldracklab at Department of Psychology, Stanford University is looking for a full time Data Curator (DC) to help grow a repository for sharing and analysing scientific data at OpenfMRI.org. OpenfMRI.org is a project dedicated to the free and open sharing of functional magnetic resonance imaging (fMRI) datasets, including raw datas. To learn more about the OpenfMRI project, please go to https://openfmri.org/content/find-out-more. The Data Curator will work closely with Stanford scientists to push forward our vision of open and reproducible research. The DC will have Linux experience and passion for working with big datasets. The work will be performed in a dynamic environment, working directly with research scientists to run the OpenfMRI system in a flexible and agile manner. Challenges will include dealing with unusual datasets and unique experimental designs and accurately representing them in OpenfMRI platform. S/he will be trusted to manage relations with researchers submitting data and accurately represent their datasets with high degree of independence. S/he should be comfortable working with people and have strong communication skills. Every day at Stanford will present learning opportunities with the smartest minds in the world. The Data Curator’s work will have direct influence on availability of neuroimaging data, which will lead to better understanding on how the brain works and how to treat neurological disorders. If you are interested please apply here: https://stanford.taleo.net/careersection/2/jobdetail.ftl?job=66924 ================== 2. Data Neuroimaging Analyst Position in Cambridge (UK) Applications are invited for an experienced and enthusiastic neuroimager to join the Drug Addiction Research group on 1 October 2015 for at least 2 years. The group focuses on functional and structural brain abnormalities associated with the risk of and resilience to drug addiction, and the effects that chronic drug exposure has on the brain. We use advanced structural (e.g. surface- and connectivity-based cortical parcellation, diffusion tractography) and functional (e.g. connectivity metrics, cognitive paradigms) magnetic resonance imaging methods in order to address our research questions. For information please see website: http://www.jobs.cam.ac.uk/job/7027/ The closing date for applications is 15 June 2015. If you have any informal questions about this vacancy please contact Dr Karen Ersche via email to ke220(a)cam.ac.uk. =========================== 3. POST-DOCTORAL FELLOWSHIP IN CLINICAL NEUROIMAGING THOMAS JEFFERSON UNIVERSITY/ SIDNEY KIMMEL MEDICAL COLLEGE, PHILA., PA. The Department of Neurology at Thomas Jefferson University/Jefferson Medical College has an opening for a Two-Year Postdoctoral Research Fellowship in Clinical Neuroimaging focusing on both clinical brain mapping and primary cognitive neuroscience investigations. The emphasis in our neuroimaging program is on cognitive and behavioral reorganization/plasticity following brain surgery for epilepsy. Other neurologic conditions, however, are also studied (tumor). Presurgical brain mapping studies are undertaken (MRI volumetrics, task-fMRI, resting state functional connectivity, diffusion imaging, electrocortical stimulation, neuropsychological assessment) as well as post-surgical neuroimaging studies investigating clinical, cognitive, and behavioral outcomes. The pre-surgical brain mapping studies are conducted on a regular basis, utilized in image-guided surgery, and then made available for research. Studies in brain recovery and the cognitive reorganization of language and memory functions are emphasized, along with projects in electrophysiology and brain stimulation, yielding rich multi-modal datasets for the investigation of both cognitive and seizure networks. Thomas Jefferson University provides a interdisciplinary environment with grand rounds, seminars, case conferences, and opportunities to collaborate with faculty across departments such as neurosurgery and radiology. Successful applicants will have a strong background in image processing (e.g., MATLAB, SPM, FSL) with a strong interest in clinical neuroimaging and cognitive neuroscience. Applicants must have a MD or PHD in neuroscience, biophysics, biomedical engineering, statistics, neuropsychology, or related field. Interested applicants should send a CV and cover letter stating experience and interests, and three letters of recommendation. Anticipated start date is the summer of 2015. Contact: Joseph I. Tracy, Ph.D., ABPP(CN). Director, Cognitive Neuroscience and Brain Mapping Laboratory, Thomas Jefferson Univ./Jefferson Medical Coll., Jefferson Hospital for Neuroscience, 901 Walnut Street, Suite #447, Phila.,PA 19107, phone:#215-955-4661, e-mail: joseph.tracy(a)jefferson.edu. Thomas Jefferson University and Hospitals is an equal Opportunity Employer. Jefferson values diversity and encourages applications from women, members of minority groups, LGBTQ individuals, disabled individuals, and veterans. ==================================== 4. The Laboratory of Psychophysiology, at the Nencki Institute of Experimental Biology (Warsaw, Poland) is seeking 1 postdoctoral fellow for a minimum commitment of 4 years. The project is funded by the National Science Centre grant “Maestro” – PI. Prof. Anna Grabowska. Project: The main objective of the project is to define the etiology of developmental dyslexia by studding the relationship between a variety of deficits known to contribute to reading disorder at three levels of analysis: behavioral, cognitive and neuronal. Job requirements: · background in neuroimaging · ambitious and highly motivated for pursuing a career in science · PhD in neuroimaging, computational neuroscience, cognitive neuroscience or equivalent obtained up to 5 years before application · strong background and interest in neuroscience, MRI analysis and statistics · excellent publication record · programming and advanced data analyses skills are appreciated knowledge of Polish is desirable Candidates with a strong interest in and experience with methods for integrating multimodal imaging measures, including quantitative structural MRI and functional MRI as well as longitudinal data analysis are in particular encouraged to apply. LAB facilities: The position is based at Laboratory of Psychophysiology (http://pslab.nencki.gov.pl) in collaboration with Laboratory of Brain Imagining (LOBI, http://lobi.nencki.gov.pl), Nencki Institute of Experimental Biology in Warsaw (http://www.nencki.gov.pl/). LOBI provides state-of-the-art facilities with a fully research-dedicated 3 Tesla MRI Siemens Trio machine, well-established infrastructure for neurophysiological testing (electro-encephalography, transcranial magnetic stimulation and eye-tracker). Research environment: The project offers a stimulating, young environment. We are currently collaborating with: · Laboratoire de Sciences Cognitives et Psycho Linguistiques, ENS, France – Dr F. Ramus · Haskins Laboratories, New Haven, US - Prof. K. Pugh · Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Germany – Dr S. Heim · Centre for Cognitive Neuroscience, University of Salzburg, Austria – Dr F. Richlan · Department of Educational Neuroscience, University of Amsterdam, The Netherlands – Prof. N. van Atteveldt · Institute of Radioelectronics, Warsaw University of Technology, Poland – Prof. P. Bogorodzki Starting date: October 2015 Application deadline: open until position is filled To apply: please send a CV, letter of motivation and three references to k.jednorog[at]nencki.gov.pl ======================== 5. The Department of Psychiatry at the University of California, San Diego is pleased to invite applications for a postdoctoral research scholar position in neuroimaging and behavior genetics under the direction of Drs. William Kremen (Psychiatry) and Anders Dale (Radiology and Neuroscience). The position focuses on training in the application of sophisticated neuroimaging methods (structural MRI, DTI, fMRI, and ASL) and associated studies that will be applied to the NIH/NIA-funded Vietnam Era Twin Study of Aging (VETSA). VETSA is a unique longitudinal study of middle-aged male twins that focuses on understanding cognitive and brain aging. Over 500 twins have undergone neuroimaging and extensive neurocognitive assessment, personality and psychosocial measures, a medical history interview, in-lab physical health measures, and hormonal assays. Genome-wide genotyping of all participants is currently underway. Wave 3 of the project, which was recently funded, will acquire new longitudinal and neuroimaging data. Applications from many disciplines may be considered, and the position is open to qualified international applicants. Requirements for the position are: 1) completion of relevant Ph.D. research activities within the past five years; 2) advanced neuroimaging and programming skills, 3) statistical knowledge, 4) evidence of writing skills, and 5) an interest in imaging genetics research. Experience with multilevel data analysis and/or genetics is desirable. The postdoctoral candidate will be encouraged to develop his or her own research projects that fit within the overall scope of the VETSA project. The position will entail immersion in MR image analysis and opportunities to learn about twin modeling. Experience with FreeSurfer and/or other neuroimaging software, R, and MATLAB is strongly preferred. This advertisement is for a 2-year appointment beginning immediately. Salary will be consistent with the NIH/NRSA levels in accordance with the University of California, San Diego for Postdoctoral trainees. Compensation includes UCSD benefits, including health insurance and vacation time. Review of applications will begin immediately and will continue until the position is filled. As an Equal Opportunity/Affirmative Action Employer, the UCSD Department of Psychiatry seeks to recruit and retain a diverse workforce as a reflection of our strong commitment to the twin goals of achievement of excellence and diversity among its faculty and staff. We are thus interested in candidates who are committed to the highest standards of scholarship and professional activities, and to the development of a climate that supports equality and diversity. To apply, please send a copy of your CV, a brief statement of research interests and goals, and any selected reprints to the email addresses below. Letters of reference will be required before final approval of hiring. Informal inquiries concerning this position are encouraged. Please e-mail Dr. Anders Dale (amdale(a)ucsd.edu) and Dr. William Kremen (wkremen(a)ucsd.edu) for more details. ================================ 6. Dear All We are looking for a PHD Student. Please read all détails : TEAM HOME Thematic : Neurosciences Team name: Institute for Memory and Alzheimer’s Disease Team Home Manager Supervisor Harald Hampel HAMPEL Harald(PU) Title of the research unit: : Institut du Cerveau et de la Moelle Épinière (ICM), INSERM Name of Director : Alexis Brice PROPOSED TOPIC Title : Structural, Functional and Effective Connectivity of AD Related Neural Networks Project : Applications are invited for a fully funded PhD position (3 years) at the Pierre and Marie Curie University (Université Pierre et Marie Curie (Paris 6), UPMC, Paris, France), at the Doctoral School of Brain, Cognition, Behavior (Ecole Doctorale Cerveau-Cognition-Comportement, “ED3C”). The UPMC, part of the Sorbonne Universities, is the leading University in France in the area of science, technology, and medicine and among the leading universities in the world. The scientific policy of the “ED3C” is strongly characterized by its multidisciplinary nature and its commitment towards both human sciences and mathematical disciplines. Objectives : The PhD will be involved in the investigation of structural, functional and effective connectivity of neural network models related to Alzheimer’s disease (AD), such as the limbic system (especially the hippocampal formation, the amygdala, and the entorhinal cortex) and the basal forebrain cholinergic system using both Magnetic Resonance Imaging (MRI) and functional Magnetic Resonance Imaging (fMRI) including advanced tractography methods. The associations between brain pathology and indices of functional and structural connectivity are expected to help our understanding of the role of specific neural networks and their connectivity in brain function in healthy aging and neurodegenerative disease. The PhD student will be involved in the study of the multi-modal nature of specific neural networks – both in the structural and the functional domains and how these two components interact with each other – along with the staging spectrum of AD (from preclinical to prodromal to dementia). To this aim, he/she will have access to different landmark clinical cohorts and datasets of patients including the INSIGHT, SOCRATES, and EDSD cohorts. The PhD student will be involved in the exploration of the various uses that structural and functional neuroimaging biomarkers can play in detecting, diagnosing, assessing treatment response and in investigating neurodegenerative diseases with a special emphasis on AD. The successful applicant will work under the supervision of the AXA Research Fund and UPMC Chair, Prof. 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. Background There is growing evidence that brain activity supports complex cognitive function that occurs within large- scale brain networks rather than within single isolated brain regions. For the definition of connectivity of brain activity between brain regions, two major concepts have been applied (Horwitz, 2003). The first concept refers to functional connectivity, i.e., the correlation between neuronal changes within one brain region related to another (Friston, 1998). Functional connectivity has been applied to explore the correlative pattern of brain activity (Bokde et al., 2006; 2001). In contrast, effective connectivity refers to the causal influence of one brain region’s activity on another where that direction of influence can be explicitly modelled (Ramnani et al., 2004). Furthermore, global [rather than local] network properties may be characterized, using graph theory to describe the properties of a network’s architecture in terms of efficiency or connectedness (Bullmore & Sporns, 2009). In recent years, more and more centers have successfully begun employing formal network analyses as biomarkers of neurodegenerative diseases (Hampel et al., 2014; 2012; Horwitz & Rowe, 2011). Actually, current understanding of the effects of focal damage on neural networks is rudimentary, even though such understanding could provide greater insight into important neurological and neurodegenerative diseases (Bokde et al., 2008; 2006). AD is characterized by early, non-linear dynamic, chronically progressive cellular and molecular2 mechanisms (protein misfolding) leading to neurodegeneration that translates clinically into multi-domain cognitive and behavioral decline, psychopathological disturbances with subsequent loss of function to perform day-to-day tasks and ultimately total loss of independence. Findings derived from neuroimaging studies of both 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. Thus, a failure of the regions of a network to interact at a high level of coordination may underpin progressive cognitive decline which is present in AD (Bokde et al., 2009). The breakdown of network function may be due to interaction failure among the regions of a network, which is denoted the disconnection hypothesis (Friston, 1998). In other words, a disruption in the temporal- spatially coordinated activity among different regions in the brain rather than isolated changes in specific brain regions may underlie cognitive impairment in AD. The breakdown is thought to be due to progressive AD pathophysiology with underlying molecular mechanisms leading downstream to neuronal and synaptic dysfunction and ultimately to neuronal loss. Such AD-characteristic structural and functional alterations are hypothesized to reflect at least partially the progressive impairment of fiber tract connectivity and integrity (Stoub et al., 2006; Morrison & Hof, 2002), suggesting that the disconnection in AD is evident at both the functional and structural level. Notably, the multi-modal nature of networks should be examined, i.e., both the structural and functional components that define a network. Given the substantial changes that the brain undergoes with the presence of AD-related pathophysiology, these alterations will manifest themselves not only in the functional and structural modules but also in how the changes in the two domains interact with one another (Teipel et al., 2007a). Neuroimaging biomarkers will need to be developed and analyzed crossectionally and longitudinally in terms of underlying brain networks rather than in terms of individual regions (Horwitz & Rowe, 2011). Overall, the current discussion on AD argues that it presents in part a dynamically progressive structural, functional and metabolic disconnection syndrome that may undergo distinct stages from potentially reversible adaptation to functional compensation to irreversible decompensation. Studies using fMRI (Bokde et al., 2008; 2006) and electroencephalography (Jelles et al., 2008; Babiloni et al., 2006) demonstrate that synchronicity of brain activity is altered in AD and correlates with cognitive deficits. Moreover, recent advances in diffusion tensor imaging (DTI) to examine white matter microstructural changes have made it possible to track axonal projections across the brain, revealing substantial regional impairment in fiber-tract integrity in AD (Teipel et al., 2011; Teipel et al. 2007b). This work will substantially help develop biomarkers for early detection, prediction and progression of AD and will support the discovery and validation of markers that map the effects of disease modifying therapies on the brain, ultimately providing much needed surrogate biological markers. Key references Horwitz B. (2003). Neuroimage 19:466–470. Friston KJ. (1998). Schizophr Res 30:115–125. Bokde ALW et al. (2006). Brain 129:1113–1124. Bokde ALW et al. (2001). Neuron 30:609–617. Ramnani N. et al. (2004). Biol Psychiatry 56:613–619. Bullmore E & Sporns O (2009). Nat Rev Neurosci 10:186–198. Hampel et al. (2014) Biochem Pharmacol 88:426-449. Hampel et al. (2012) Alzheimers Dement 8:312-336. Horwitz B & Rowe JB (2011). Prog Neurobiol 95:505-509. Bokde ALW. et al. (2008). Psychiatr Res Neuroimaging 163:248 259. Bokde ALW et al. (2009). Prog Neurobiol 89:125–133 Stoub TR et al. (2006). Proc Natl Acad Sci USA 103:10041–10045. Morrison JH & Hof PR (2002). Prog Brain Res 136:467–486. Teipel SJ et al. (2007a). Brain 130:1745–1758. Jelles B et al. (2008). Clin Neurophysiol 119:837–841. Babiloni et al. (2006). Brain Res Bull 69:63–73. Teipel SJ et al. (2011) Hum Brain Mapp 32:1349-1362. Teipel SJ et al. (2007b). Neuroimage 34:985–995. Requirements The ideal candidate is expected to have a robust academic and science background. A preference will be given to students with profound knowledge in neuroscience, neuroimaging data analysis, applied mathematics, biostatistics, or computer science at the master’s level. Candidates demonstrating competencies on structural and functional MRI methods, knowledge and experience with MRI-related data analysis packages (SPM, Matlab, Freesurfer, AFNI), statistical softwares (e.g., SPSS or R), and programming skills (e.g., MATLAB, Python, C++) will have a strong advantage. The candidate has to be fluent both in written and spoken English. The position is expected to begin in October 2015. Applications should include a full Curriculum Vitae and a Cover Letter detailing the applicant’s interest and motivation for this position. Two letters of academic reference, assessing the applicant’s skills, research and learning potential, ability to team work and personality, should be sent independently by the referees. Applications together with all documents, including reference letters, should be submitted electronically to: e.mirassou-ihu(a)icm-institute.org with reference to “PhD position" in the E-mail header. Applications must be received within the 30th of June 2015. Best, -- 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) Email: e.mirassou-ihu(a)icm-institute.org ======================================= 7. Applications are Invited from prospective candidates for the following positions at Indian Institute of Technology Gandhinagar, Gujarat, India. The research topics are Junior Research Fellow: Statistical learning of Category Information: A neuroimaging investigation Senior Research Fellow: Integration of Perceptual and Value based decision making Post doctoral Fellow: Topic to be discussed within the areas of motor learning, decision making, early detection of Alzheimers disease using connectivity and machine learning approaches. Techniques and Methodologies include Eye tracking, and EEG Candidates for JRF and SRF posts will have a Masters degree in Science and have qualified a national level eligibility test OR a Masters degree in professional courses such as Engineering. Applications for SRF position will need to have an additional two years of Research Experience Krishna Prasad Miyapuram (Ph.D. Cantab) Assistant Professor (Cognitive Science & Computer Science) Indian Institute of Technology Gandhinagar VGEC Campus | Chandkheda - 382424 | Ahmedabad, India ======================== 8. Applications are invited for a Post-Doctoral Researcher to join the Wellcome Trust Consortium for Neuroimmunology of Mood Disorders and Alzheimer’s Disease (NIMA). The post will be based at the Clinical Imaging Sciences Centre (CISC), Brighton & Sussex Medical School, University of Sussex, Brighton UK, under the supervision of Dr Neil Harrison. NIMA is a 5-year research programme, with total funding of approximately £5.7M, designed to translate the new inter-disciplinary science of neuroimmunology to therapeutic applications in psychiatry and neurology. The research programme will be coordinated across a network of UK academic centres (University of Sussex, University of Cambridge, Cardiff University, University of Glasgow, King’s College London, University of Oxford and University of Southampton) and two major pharmaceutical companies (Janssen Pharmaceuticals R&D and H. Lundbeck A/S). The scientific scope of the research will include clinical biomarker studies, therapeutic trials of new drugs in patients with depression and Alzheimer’s disease, and animal experiments, and is intended to develop new treatment approaches for these conditions. Dr Neil Harrison (University of Sussex) and Prof Ed Bullmore (University of Cambridge) will co-lead MRI components of the Consortium which will be undertaken at Sussex, Cambridge, Glasgow, KCL & Oxford. The post will be based at the Clinical Imaging Sciences Centre (CISC) on the University of Sussex campus and will involve close coordination with Cambridge as well as each of the other imaging sites. The research programme will use a range of advanced quantitative techniques including models of magnetisation transfer (qMT), T1/ T2 mapping and diffusion imaging (NODDI), as well as task-related functional imaging and graph theoretic analyses of multi-echo resting state fMRI in conjunction with peripheral and CSF immunophenotyping to investigate the neural and peripheral signatures of inflammation in patients with depression. Comparable techniques as well as histology will be acquired in rodent inflammation models (KCL) to facilitate back-translation of the human imaging findings. The post holder will work closely with a postdoc based at Cambridge and other researchers at both sites to analyse all of the imaging data acquired from up to 150 patients and controls. This post offers an outstanding opportunity to be involved in a large multi-centre consortium combining cutting-edge microstructural and functional neuroimaging with deep immunological phenotyping to characterise the role of inflammation in the commonest mental disorder depression. The successful candidate will assist in the initial quality control of sequences across imaging centres and the analysis and interpretation of the imaging data. The post will involve close collaboration with other leading UK neuroimaging groups as well as groups working on functional immunological network changes. For more information and link to application form: http://www.sussex.ac.uk/aboutus/jobs/196 ===================

1 0

no YNiC seminar this week
by rem 26 May '15

26 May '15

1 0

Jump to page:

2026

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

ynic-users