12 phds/jobs...

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=1… =========================================== 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/ ============================================