ynic-users September 2014

ynic-users@ynic.york.ac.uk

3 participants
39 discussions

Fwd: Post-Doctoral Research Fellowship in Imaging for Autism Spectrum Disorders

by Gary Green

The Autism Spectrum Disorders Research Program at the Child Study Center of the NYU Langone Medical Center is looking for a post-doctoral fellow interested in conducting behavioral and neuroimaging research in autism spectrum disorders (ASD) and related conditions (e.g., attention deficit hyperactivity disorder). Current research applies R-fMRI and diffusion-tensor imaging, as well as simultaneous fMRI/EEG acquisition, and behavioral and neuropsychological measures to investigate biomarkers in children and adults with ASD and related neurodevelopmental disabilities. The fellow will work with PI Adriana Di Martino (primary mentor; NYU CSC) and collaborator Michael P. Milham (Child Mind Institute, Nathan Kline Institute). Position is for a minimum of two years and responsibilities will include but are not limited to study design and data acquisition, data analysis and manuscript preparation. Minimum Qualifications: Doctoral degree in cognitive neuroscience, computer science, engineering or related areas. Prior experience with one or more functional neuroimaging techniques (fMRI, PET, EEG, MEG) is essential. Must be proficient with computers, scripting/programming (bash, python and/or matlab) and at least one neuroimaging analysis package (AFNI, SPM, FSL). Applications should include a letter of interest and CV to be emailed to Adriana Di Martino, M.D. Research Director of the Autism Research and Clinical Program at NYU CSC at adriana.dimartino(a)nyumc.org and Michael Milham, M.D., Ph.D. at michael.milham(a)childmind.org.

10 years, 7 months

Fwd: Postdoc position

by Gary Green

A position is available for a Postdoctoral Fellow in the laboratory of Dr. Matilde Inglese in the Estelle and Daniel Maggin Department of Neurology at the Icahn School of Medicine at Mount Sinai in New York. Applicants should have a Ph.D. degree in biomedical engineering, or applied Mathematics and should have knowledge and experience in both task-based and restingstate fMRI, EEG-fMRI and Diffusion MRI. Experience with fMRI analysis software packages, presentation software, strong computer programming skills (e.g., in C/C++ & especially MATLAB) are highly desirable Potential applicants are encouraged to contact Matilde Inglese, Associate Professor Neurology, Radiology and Neuroscience (email: matilde.inglese(a)mssm.edu) to find out more about the role, before submitting a formal application including CV and 3 references.

10 years, 7 months

Fwd: Postdoctoral Fellowship in Structural and Functional MRI Research

by Gary Green

Postdoctoral Fellowship in Structural and Functional MRI Research University of California at Los Angeles, Los Angeles The Department of Anesthesiology, University of California at Los Angeles would like to invite applications for two year Postdoctoral Fellowship position starting from November 1, 2014 (or as soon as possible), with possibility for two more years’ extension, based on satisfactory performance and productivity. Project details Functional and structural magnetic resonance imaging (fMRI) methods have become non-invasive procedures to examine task-specific brain activity, quantify functional connectivity at resting-stage, and to assess structural tissue integrity. The primary goal of this project is to develop, optimize existing analyses tools in the lab, and apply them to model whole-brain functional connectivity based on resting stage fMRI data, examine brain fMRI signal responses to autonomic and other challenges, and asses brain structural integrity using T2-relaxometry, diffusion tensor and kurtosis imaging, and magnetization transfer imaging in patients with heart failure condition. Qualifications A PhD degree in mathematics, radiology (MRI), biomedical engineering, electrical engineering, neuroscience, or related field with background and research experience in functional and structural MRI-related research in humans, especially in functional and structural MRI data processing and MATLAB-based programming, reflected as data-based publications, is required. Experience in MRI data acquisition and optimization of protocol is also essential. Excellent communication and writing skills in English are also essential. Environment Our lab is part of neuroscience community at UCLA, the largest neuroscience community in the USA, host a large number of neuroscientists (>500), who provide a resource for neuroanatomic, neuropathologic, neurophysiologic, neuropsychologic, and analytic support. The laboratory is immediately adjacent to the Ahmanson-Lovelace Brain Mapping Center, which provides a significant resource in neuroimaging faculty (>28 faculty, both basic and clinical), software, and analytic support, and there are ample of opportunities to interact those scientists. Our lab uses a 3.0-Tesla MRI scanner (Siemens, Prisma), located in the proximal Department of Radiological Sciences, a unit devoted to research studies with on-site PhD-level Siemens engineers. Appointment Terms and Salary The initial appointment would be for two years, with possibility for two more years’ extension, based on satisfactory performance and productivity. Salary and benefits would be based on UCLA norms with research experience. Application Procedure and Deadline UCLA is an equal opportunity and affirmative action employer (http://www.mednet.ucla.edu/), and all qualified individuals are encouraged to apply. Applications will be accepted until position is filled. To be considered for this position, please send your CV and a cover letter to: Rajesh Kumar, PhD Email: rkumar(a)mednet.ucla.edu Rajesh Kumar, PhD Assistant Professor Departments of Anesthesiology and Radiological Sciences David Geffen School of Medicine at UCLA University of California at Los Angeles Los Angeles, CA 90095-1763, USA Tel: 310-206-1679, 6133 (office); 310-825-1808 (Lab) Fax: 310-825-2236 Email:rkumar@mednet.ucla.edu _http://people.healthsciences.ucla.edu/institution/personnel?personnel_id=4…

10 years, 7 months

Fwd: Postdoctoral position in multimodal neuroimaging of decision making

by Gary Green

We are looking to appoint one postdoctoral fellow to make a leading contribution to an ESRC funded project on the neurobiology of human decision making using multimodal neuroimaging. The post will be based at the Institute of Neuroscience and Psychology (INP) at the University of Glasgow (ranked 2nd in the UK by the Guardian), which benefits from on-site access to the Centre for Cognitive Neuroimaging (CCNi). The CCNi is a research-dedicated facility within the INP and it is equipped with state-of-the art brain imaging facilities comprising a 3T fMRI scanner (Siemens Trio), an MEG system, and several TMS and EEG systems, including MR-compatible recording options. Our group uses multimodal neuroimaging coupled with mathematical modelling to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying human decision making. Our analysis methods are heavily inspired by machine learning and statistical pattern recognition and are designed to exploit trial-to-trial variability in electrophysiologically-derived measures that can be used in conjunction with simultaneously acquired fMRI to tease apart the cascade of constituent cortical and subcortical processes involved in decision making. The primary focus of the project will be to unravel the neural correlates of learning and confidence during decision making, which will form the basis for further development of brain computer interfaces (BCI) for human-machine interaction. The latter will take place in close collaboration with Prof. Paul Sajda’s team at Columbia University in New York with whom the selected candidate will have the opportunity to interact regularly. Candidates must have a PhD (or equivalent) in neuroscience, psychology, cognitive science or in a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (including both EEG and fMRI) as evident by a strong track record of publications in international journals. The post holder must also have working knowledge of multivariate data analysis techniques, excellent programming skills in Matlab and previous experience in using either fSL or SPM analysis software. Previous experience in simultaneous EEG/fMRI experiments and computational modelling is desirable. This post will be available from 5th January 2015 or as soon as possible thereafter for three years. Salary: Grade 7 £33,242 – £37,394 per annum. Informal enquiries may be addressed to Dr. Marios Philiastides at marios.philiastides(a)glasgow.ac.uk. Please note that applications sent directly to this email address will not be accepted. For more details on our research interests visit http://decision.ccni.gla.ac.uk. Apply online at www.glasgow.ac.uk/jobs (Ref: 009415) Closing date: 19 October 2014

10 years, 7 months

Fwd: Research Assistant Position

by Gary Green

The University of Southern California Imaging Genetics Center (http://igc.ini.usc.edu) - part of the Institute for Neuroimaging and Informatics - in Marina del Rey, California is looking for a talented full-time Project Assistant to assist with research activities. Duties will focus on analyzing existing MRI scans to investigate how growth factors, inflammation, and genetic variants relate to brain structure and function, particularly in regions vulnerable to Alzheimer’s disease. The successful applicant will have a bachelor’s or master’s degree in bioengineering, neuroscience, or a related field. He or she should be careful and reliable, able to meet deadlines, and able to work both collaboratively and independently. Good knowledge of Excel and basic shell scripting are required. Some experience with MRI analysis and a working knowledge of FSL, Freesurfer (or similar software), Matlab, Unix, and R are strongly preferred. Ideal candidates also will be able to read and understand background literature and can communicate clearly both verbally and in writing. This position would be great for candidates looking to gain training and experience for a few years before eventually applying to a PhD program or medical school. To apply or to gain more information, please e-mail Dr. Meredith Braskie (meredith.braskie(a)ini.usc.edu) with your cover letter and CV.

10 years, 7 months

Fwd: EEG Research Assistant position at MPRC

by Gary Green

*Research Assistant - Clinical * The University of Maryland, Baltimore (UMB), School of Medicine, Department of Psychiatry is seeking a Clinical Research Assistant to work within the Maryland Psychiatric Research Center (MPRC) Outpatient Research Program. Â The Clinical Research Assistant is responsible for performing research of a clinical nature. This position is located on the grounds of Spring Grove Hospital Center in Catonsville, MD. _ESSENTIAL FUNCTIONS:_ *Perform data collection using EEG recording equipment.* Perform data collection using both paper and pencil psychological assessments as well as computerized tests. Â Score measures as needed following standardized procedures. Perform data collection by conducting research interviews; recruit and screen subjects for research studies; collect baseline and follow-up data from subjects including verification of eligibility; obtaining consent and enrollment; assuring accurate demographic information for follow-up. Â Check validity and accuracy of data ensuring compliance with quality control requirements and clinical relevance. Remain actively involved in the recruitment of patient and health control volunteers, including through the use of random digit-dialing. Establish and maintain database files and reports on progress of studies, and/or projects. _MINIMUM QUALIFICATIONS:_ Bachelorâs degree in Epidemiology, Sociology, Psychology, Nursing or field of study related to the research of the clinic. Preferred: Previous experience in a psychiatric research setting serving patients with severe mental illness. *Experience in the use of EEG recording equipment and the scoring of standardized cognitive testing instruments such as the Wechsler Scales or the MATRICS Consensus Cognitive Battery.* Consideration may be given for a unique combination of education and experience.* May require training related to occupational safety and health, environmental compliance, shipping of hazardous materials and/or ionizing radiation. *Bachelorâs degree in an unrelated field with at least 18 credits in a field related to the research of the clinic or laboratory, as appropriate, or Bachelorâs degree in unrelated field with at least one year of experience in a field directly related to the research of the clinic or laboratory, as appropriate. Except for qualifications established by law, additional related experience and formal education in which one has gained the knowledge, skills, and abilities required for full performance of the work of the job class may be substituted for the education or experience requirement on a year-for-year basis with 30 college credits being equivalent to one year of experience. To apply go to: https://www.healthcaresource.com/umbaltimore/index.cfm?fuseaction=search.jo… Matthew Albrecht, PhD Postdoctoral Fellow Maryland Psychiatric Research Center University of Maryland Email: malbrecht(a)mprc.umaryland.edu <mailto:malbrecht@mprc.umaryland.edu>

10 years, 7 months

Fwd: Postdoc position

by Gary Green

10 years, 7 months

Fwd: PhD- and Postdoctoral positions at Max Planck Institute, Leipzig, Germany

by Gary Green

The Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, Department of Social Neuroscience (Prof. Dr Tania Singer) invites applications for * several PhD, Postdoctoral, and Senior Researcher Positions * (see http://www.cbs.mpg.de/depts/singer/vacant for more details) *a) Postdoctoral Position on Social Neuroscience and Autism (Ref # 2014-1)* within the Research Group “Psychopathology of the Social Brain” (Dr. Philipp Kanske) The successful candidate will be involved in a BMBF-funded project on modulatory effects of oxytocin treatment on higher-order social cognition as measured with fMRI in autism spectrum disorder. This project is part of the ASD-Net consortium (http://www.asd-net.de) that will start in February 2014. Experience in MRI is an important prerequisite. *b) PhD or Postdoctoral Position at the Interface of Neuroeconomics, Social Neuroscience, and Motivation Psychology (Ref # 2014-2)* within the Department of Social Neuroscience (Prof. Dr Tania Singer) and the Kiel Institute for the World Economy, Germany (Prof. Dr Dennis J. Snower) and funded by Institute for New Economic Thinking (INET) (http://ineteconomics.org) The group combines empirical research methods from psychology and neurosciences, focusing on motivation, social cognition and emotion, with behavioral economics methods. Moreover, computational models are applied with the goal to provide a broader understanding of how motivation influences human economic decision making (www.caring-economics.org) <http://www.caring-economics.org%29>. The general goal is to provide empirical evidence for the formulation of new economic models based on human biology and psychology. Experience in MRI is advantageous. *c) PhD, Postdoctoral, or Senior Researcher Position in Social Neuroscience and Emotion Regulation (Ref # 2014-3)* within the Department of Social Neuroscience (Prof. Dr Tania Singer) The successful candidate will be primarily involved in the analyses of behavioral and neuroimaging data of emotion reactivity and regulation paradigms from a large-scale and unique longitudinal study, the ReSource Project (www.resource-project.org <http://www.resource-project.org>) that investigates the effects of affective and cognitive mental training on neural plasticity, stress- and health-related markers, subjective well-being, social and cognitive functioning and behavior. Experience in MRI is an important prerequisite. *General Job requirements* The successful candidates have a degree in Psychology or Cognitive Neuroscience and for the postdoc positions they have finished their PhD and may already have held a postdoctoral position. All candidates should show evidence of high scholarly promise in the form of publications and other academic achievements. Detailed requirements for the respective positions can be found here: *http://www.cbs.mpg.de/depts/singer/vacant. * The Max Planck Institute (http://www.cbs.mpg.de) offers an international research environment, with English being the language spoken in the laboratory. It offers an excellent infrastructure (e.g., three human 3T and one 7T MRI, rt-fMRI, TMS/tDCS, MEG, behavioral laboratory, stress laboratory, etc.). The department also has additional behavioral laboratory space in Berlin, which is located just an hour by train to the north of Leipzig. For further details, see http://www.cbs.mpg.de/dept/singer or contact Prof. Dr. Tania Singer (singer(a)cbs.mpg.de). Applications (including a CV, list of publications, statement of research interests, and contact information of 3 referees) should be sent as a single PDF file, with your name as the file name, to Tania Singer (singer(a)cbs.mpg.de) and Sandra Zurborg (zurborg(a)cbs.mpg.de). Review of applications will continue until the position is filled. Shortlisted candidates will be invited to the MPI in Leipzig, Germany. The Max Planck Society is an equal opportunity employer and explicitly encourages woman and handicapped individuals to apply. -- Philipp Kanske PhD Research Group Leader Department of Social Neuroscience Max Planck Institute for Human Cognitive and Brain Sciences Stephanstr. 1a 04103 Leipzig, Germany phone +49 341 9940-2693 <callto:+49%20341%209940-2693> fax +49 341 9940-2356 <callto:+49%20341%209940-2356> kanske(a)cbs.mpg.de http://www.cbs.mpg.de/staff/kanske-291

10 years, 7 months

Fwd: Postdoc opportunity at Stanford in Reward Processing and Reinforcement Learning (with application to TMS investigations and Transdiagnostic Imaging of Psychiatric Disorders)

by Gary Green

The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a postdoctoral research fellowship focused on reward processing and reinforcement learning using computational modeling and fMRI in healthy individuals and patients with a range of psychiatric disorders. The focus of this position is on understanding application of these methods to the study of emotional disorders, manipulation of relevant circuitry using TMS, and development of new approaches for understanding the mechanisms of emotion regulation in health and disease. The successful applicant will have a PhD in Cognitive Neuroscience, Neurophysiology, Psychology, Computer Science, Statistics or related fields. Experience with reward or reinforcement learning paradigms using fMRI or EEG, as well as computational modeling is strongly encouraged. Additional programming experience is a plus. A US Citizenship is also required. Duties will also include manuscript preparation, presentation of findings at conferences, management of research assistants and contribution to the preparation of grants. Laboratory and Stanford resources include research-dedicated 3T and 7T MRI scanners, concurrent TMS/fMRI setups and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and three letters of recommendations, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford University amitetkin(a)stanford.edu

10 years, 7 months

Fwd: Biophysical Modeling Position in WTCN Physics Group

by Gary Green

------------------------------------------------------------------- UCL INSTITUTE OF NEUROLOGY Wellcome Trust Centre for Neuroimaging London, UK ERC-Funded Postdoc Position: Research Associate in Biophysical Modeling -------------------------------------------------------------------- Applications are invited for a Research Associate post in the group of Professor Nikolaus Weiskopf at the Wellcome Trust Centre for Neuroimaging at UCL. The successful candidate will be part of a team developing and applying methods for in-vivo histology of human brain microstructure using MRI, which is crucial for understanding the human brain in both health and disease. The project is funded by the ERC Consolidator Grant “Non-Invasive In-Vivo Histology in Health and Disease Using Magnetic Resonance Imaging“. To characterize the microstructure of the cortex, the team will develop a novel quantitative multi-contrast imaging approach at ultra-high resolution that will be complemented by a unified model of MRI contrasts, cortical anatomy and tissue microstructure. Super-resolution diffusion and susceptibility imaging will further enhance the effective image resolution. High-resolution functional MRI (fMRI) will complement the anatomical imaging methods and will be used for cross-validation. The candidates will be embedded in a unique world-leading research environment and have access to the latest cutting-edge MRI hardware including: 3T, 7T and 9.4T for human MRI; small bore 9.4T for ex-vivo scanning; ultra-fast optical prospective motion correction and tailored radio-frequency (RF) surface coils for maximal SNR. The post holder will develop a unified model describing the relationship between cortical tissue characteristics and different MR measures of relaxation (such as R1, R2*), magnetization transfer saturation, susceptibility and diffusion. The modeling will aim at estimating features such as the layer-specific myelin concentration from the MRI data. The successful candidate will further enhance the model to achieve super-resolution imaging. Applicants must have a PhD in physics, mathematics, computer science, biomedical engineering or a comparable subject. If not already held, the PhD must be obtained by the agreed start-date. A strong background in high-level programming languages (e.g. C/C++, Matlab) and experience in one of the following areas is essential: biophysical modeling, MR physics contrast mechanisms, theoretical physics. Applicants must also be specialists in at least one of the following areas: Bayesian modeling, computational modeling, non-linear inverse problems, MR physics, advanced diffusion models beyond DTI. The post is available from Oct. 2014 and is funded by the European Research Council (ERC) until March 2016 in the first instance. Starting salary in the range of £33,353 - £40,313 pa on UCL Grade 7 including London Allowance, superannuable. You should apply through UCL's online recruitment – www.ucl.ac.uk/hr/jobs <http://www.ucl.ac.uk/hr/jobs> where you can download a job description and person specification using Reference 1434851 If you have any queries regarding the application process, please contact Samantha Robinson, Personnel Officer, UCL Institute of Neurology, 23 Queen Square, London, WC1N 3BG (email: IoN.HRAdmin(a)ucl.ac.uk <mailto:IoN.HRAdmin@ucl.ac.uk> ). Informal enquiries to Professor Nikolaus Weiskopf (email: n.weiskopf(a)ucl.ac.uk <mailto:n.weiskopf@ucl.ac.uk> ). Further information on the lab: http://www.fil.ion.ucl.ac.uk/Research/physics.html Closing date: 12 October 2014 UCL Taking Action for Equality ________________________________ Dr. Martina Callaghan Deputy Head of Physics & Senior Research Associate Wellcome Trust Centre for Neuroimaging Institute of Neurology University College London 12 Queen Square London WC1N 3BG UK Tel: +44-20-344-84383 (internal ext 84383) Email: m.callaghan(a)ucl.ac.uk

10 years, 7 months

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ynic-users September 2014