ynic-users January 2014

ynic-users@ynic.york.ac.uk

5 participants
31 discussions

Fwd:Postdoc position in comparative/computational emotion neuroscience at University of Zurich, starting 2014

by Gary Green

Applications are invited for a post-doctoral position to work on the neurobiology of anxiety and fear. The Comparative Emotion Neuroscience Group (www.bachlab.org) currently hosts 1 PostDoc, 3 PhD students, and several support staff, and is looking for a second post-doctoral fellow. The group’s aim is to develop formal models of animal and human defensive emotions (panic, fear, anxiety), characterise their neuroanatomy and the underlying neural computations using neuroimaging techniques (fMRI, M/EEG) in humans, and apply this knowledge to psychiatric syndromes involving pathological emotions. The laboratory offers a friendly and collaborative research environment, a research-dedicated 3T MRI scanner, a fully equipped psychological/psychophysiological testing facility, access to EEG, and collaboration with MEG and 7T MRI facilities. The position is funded for 3 years and paid according to work experience, usually in grade 18. The lab, behavioural testing facilities, EEG, and 3T scanner are located in the Department of Psychiatry, University of Zurich, Switzerland. The successfull applicant will have either (a) an undergraduate degree in physics/engineering/mathematics/computer science, and a PhD in cognitive neuroscience, or (b) an undergraduate degree in biology/psychology/neuroscience, and a PhD in neuroscience with a computational or technological focus. The candidate will be experienced in human experimentation, in particular fMRI or M/EEG. Fluent English is mandatory, German is not. We are looking for a highly motivated individal with interest in neurobiology who develops independent research ideas within the group’s framework. Starting date is 2014. Applications are accepted until the position is filled. Applicants should send, in one merged PDF, a CV, publication list, letter of intent with a statement of research interest, and the name and contact of two references to: jobs(a)bachlab.org

11 years, 3 months

Fwd: [SPM] PhD position - computational modelling

by Gary Green

Dear colleagues, The *Collaborative Research Center *(CRC) 1052 "Obesity mechanisms" at the Leipzig University Hospital is offering a *PhD studentship in computational modelling* under the supervision of Dr Jane Neumann and Dr Annette Horstmann. Within the project, computational modelling will be used to investigate decision-making and learning in humans by combining genetic, behavioural and magnetic resonance imaging (MRI) data from different modalities. The PhD position will be based at the *Max Planck Institute for Human Cognitive and Brain Sciences* in the beautiful city of *Leipzig*. Both Leipzig‘s long tradition in conducting neuroscientific research and the ultra-modern equipment at the Institute provide an environment that offers new perspectives in neuroimaging research. Further, the position will be part of the CRCs Integrated Research Training Group. This graduate program offers interdisciplinary qualification in various research methods and transferable skills, and provides support in career planning and in establishing an own scientific network. Applicants should hold a Master's degree (or equivalent) in one of the following disciplines: computational or cognitive neuroscience, computer science, mathematics, physics, cognitive science or related. Prior experience in the field of computational neuroscience and/or neuroimaging are of advantage. Sound knowledge of statistics and excellent programming skills are essential. A good command of written and spoken English is requested of all applicants. Please send your application as a single pdf-file to _neumann(a)cbs.mpg.de_ referring to 'Modelling SFB 1052'. Complete applications include cover letter, CV, letter(s) of recommendation, and copies of university degrees and additional certificates. Informal enquiries should be made to Dr Jane Neumann (_neumann(a)cbs.mpg.de_, +49 (0) 341 99 40 26 21). The salary is based on the German E 13 TV-L salary scale. In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Disabled applicants are preferred if qualification is equal. Deadline for application: until position is filled

11 years, 3 months

Fwd: [JOB] Postdoctoral Positions on Infant Brain Segmentation, Registration and Atlas Construction

by Gary Green

Several postdoctoral positions are available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC. Segmentation: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature learning and segmentation. Experience on medical image segmentation using deformable surface, level sets, and graph cut is highly desirable. People with machine learning background on image features and shape statistics are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) is desirable. The research topic will be the development and validation of segmentation methods for infant brain segmentation and surface reconstruction. Registration: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on feature learning and correspondence detection. Experience on medical image registration is highly desirable. People with experience on pairwise, group-wise and/or 4D registration are particularly encouraged to apply. Knowledge on brain development and also strong background on programming (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of 3D, 4D, and group-wise image registration methods for early brain development study. Atlas Construction: Candidates with experience on patch-based sparse representation are encouraged to apply. The research topic will be the development of atlas construction methods for infant brain images. The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).

11 years, 3 months

Fwd: [JOB] Postdoctoral Position on Machine Learning

by Gary Green

A postdoctoral position on machine learning with application to neuroimage-based brain disease diagnosis and prediction is available in UNC-Chapel Hill. The successful candidate should have a strong background on Electronic Engineering, Biomedical Engineering, Statistics, or Computer Science, preferably with emphasis on machine learning, pattern classification, regression methods, or sparse representation. People with strong experience on machine learning are particularly encouraged to apply. The successful candidate will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. The research topic will be the development and validation of novel machine learning methods for early diagnosis and prediction of brain disorders. Please visit group website (http://bric.unc.edu/ideagroup) for more information. If interested, please email resume to Dr. Dinggang Shen (dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).

11 years, 3 months

Fwd: Research Assistant Position Available at Stanford University

by Gary Green

Stanford University invites applications for the position of Cognitive Neuroscience Research Assistant in the Cognitive & Systems Neuroscience Lab (cosyne.stanford.edu). This is an exciting opportunity to work on brain imaging studies of cognitive function and dysfunction, cognitive development and learning disabilities. The successful candidate will participate in all aspects of research in the lab, including: acquisition and analysis of functional and structural brain imaging data, assembling and administering neuropsychological assessments, screening and recruiting participants, obtaining informed consent, scheduling participants for testing, tracking progress of the study and behavioral data, verifying data and entering pertinent information into database for statistical analysis, conducting statistical analyses, and assisting with manuscript preparation. A minimum commitment of two years is required. This is a full-time position with competitive benefits. There are 2 positions open with start dates in Summer 2014. Please email a CV and statement of research interests and career goals in PDF format titled LastName_CV.pdf and LastName_StatementGoals.pdf to Emma Adair at hiring.stanford.cosyne(a)gmail.com. Application deadline is March 15; competitive candidates will be contacted for interviews starting mid-February. Qualifications: Requires a BS/BA degree in psychology, human biology, neuroscience, biomedical engineering or related fields as well as one to two years of research experience. A strong academic record is essential. Past research experience in cognitive neuroscience is highly desirable. Experience with any of the following would be an added advantage: brain imaging data acquisition, MRI data analysis, neuropsychological assessments, computer programming, MATLAB, signal processing, and statistical analysis. The candidate must have strong organizational and interpersonal skills; the ability to work well with children; a willingness to tackle complex tasks in an independent manner; and a strong work ethic.

11 years, 3 months

Fwd: PhD position - computational modelling

by Gary Green

11 years, 3 months

Fwd: Fwd: Postdoc-Stelle am ISN, Hamburg

by Gary Green

Dear all, I've been asked to forward this job description of an open postdoc position in our lab. The applicant will need fluent knowledge of the German language, therefore, the ad and the attachment were not translated to English. Sorry to everybody else... Thanks, Mareike > Postdoktorandenstelle (4 Jahre) in der neurowissenschaftlichen Forschung > > Im Rahmen des neu bewilligten SFB-Transregios TR 134 „Ingestive Behavior“ (Verbund Köln, Lübeck > und Hamburg) ist für das Teilprojekt „Der Einfluss von Gewicht und Gewichtsabnahme auf > homoestatische und belohnungsassoziierte neuronale Netzwerke“ ab dem 1. April 2014 eine Postdoc- > Stelle (100%) am Institut für Systemische Neurowissenschaften, Universitätsklinikum Hamburg- > Eppendorf zu besetzen. > > -- > Dr. Stefanie Brassen > Department of Systems Neuroscience, Bldg W34 > University Medical Center Hamburg-Eppendorf > Martinistrasse 52 > 20246 Hamburg, Germany > Mail: sbrassen(a)uke.de > Phone: ++49-40-7410-54865 > Fax: ++49-40-7410-59955 -- Mareike Düesberg Dr. rer. hum. biol. Institut für Systemische Neurowissenschaften Universitätsklinikum Hamburg-Eppendorf, Haus W34 Martinistr. 52, D-20246 Hamburg, Germany +49 40 7410 55469 m.menz(a)uke.de ------------------------- () ascii ribbon campaign /\ - against html mail -- Besuchen Sie uns auf: www.uke.de _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg Vorstandsmitglieder: Prof. Dr. Christian Gerloff (Vertreter des Vorsitzenden), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Rainer Schoppik _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

11 years, 3 months

Fwd: Research Associate/Senior Research Associate in Real-Time fMRI

by Gary Green

On behalf of Dr Nikolaus Weiskopf, I am distributing the following job ad: UCL INSTITUTE OF NEUROLOGY Wellcome Trust Centre for Neuroimaging Research Associate/Senior Research Associate in Real-Time fMRI Applications are invited for a Research Associate / Senior Research Associate in the Wellcome Trust Centre for Neuroimaging (WTCN), UCL Institute of Neurology, London, UK, under the supervision of Dr Nikolaus Weiskopf. The WTCN conducts cutting-edge research by means of functional and structural brain imaging, and is equipped with three 3 T whole body MRI scanners (Siemens Tim Trio), an MEG system (CTF/VSM), and MR compatible EEG and TMS systems. One of the MRI systems is equipped with an optical tracking system for ultrafast prospective motion correction (Kineticor). The successful candidate will join the EU FP7 collaborative BRAINTRAIN project which aims to use real-time fMRI to train patients to regulate their own brain activity via neurofeedback training, and thus modulate the brain networks of mental disorder. The project brings together the core groups that have been instrumental in the development of methods for real-time fMRI-based neurofeedback, and have led in the initial clinical applications in neuropsychiatric disorders. The post holder will work on methods for improving real-time fMRI both in terms of data quality and accessibility by developing ultrafast fMRI pulse sequences, methods for reduction of image artifacts, tailored image reconstruction methods (e.g. advanced parallel imaging) and methods for fast data transfer. Applicants must have a PhD in physics, biomedical engineering, computer science, or a comparable subject. If not already held, the PhD must be obtained by the agreed start-date (Research Associate applicants). A strong background in MR physics and image reconstruction or data analysis is essential, as is strong expertise in programming high-level languages (e.g. C/C++, Matlab). Applicants must be specialists in at least two of the following areas: Siemens/GE/Philips MR scanner operation and software, advanced MR image reconstruction, pulse sequence programming, real-time fMRI methods, functional MRI, SPM/Brainvoyager. Applicants for the Senior Research Associate position will also need to demonstrate an established publication track record and experience of leading a team of researchers or project management. The post is available immediately and is funded by the EU for two years in the first instance. Starting salary in the range of £32,375 - £39,132 pa on UCL Grade 7 (Research Associate) or £40,126 - £47,441 pa on UCL Grade 8 (Senior Research Associate) including London Allowance, superannuable. You should apply for this post through UCL's online recruitment – www.ucl.ac.uk/hr/jobs where you can download a job description and person specification using ref: 1386251. 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). Informal enquiries to Dr Nikolaus Weiskopf (email: n.weiskopf(a)ucl.ac.uk). Further information on the lab: http://www.fil.ion.ucl.ac.uk/Research/physics.html Further information on the EU BRAINTRAIN project: http://ec.europa.eu/research/health/medical-research/brain-research/project… Closing date: 21 January 2014 UCL Taking Action for Equality -- Dr. Siawoosh Mohammadi Post Doctoral Research Fellow Wellcome Trust Center for Neuroimaging Institute of Neurology University College London 12 Queen Square London WC1N 3BG United Kingdom Tel. +44-20-344-84368, (internal ext 84368) Fax. +44-20-7813-1420 siawoosh.mohammadi(a)ucl.ac.uk

11 years, 3 months

Fwd: PhD position at the UCL Ear Institute

by Gary Green

To Whom It May Concern, Please find below an advertisement for a PhD position currently available in my laboratory. Please forward this to relevant students within your department. Best wishes and Happy new year, Maria Chait %%%%%%%%%%%%%%% A 3 year PhD studentship in auditory cognitive neuroscienceis available as part of a research collaboration between the UCL Ear Institute (London, UK) and NTT Communication Science Labs (Nippon Telegraph and Telephone corporation, Atsugi, Japan). The student will be based at the UCL Ear Institute and supervised by Dr. Maria Chait. They will also be working with Prof. Makio Kashino and Dr. Shigeto Furukawa (NTT). The project will use psychophysics, eye tracking, autonomic response measures and MEG functional brain imaging to investigate auditory perception in natural scenes. Further information about research in the laboratory can be found here: http://www.ucl.ac.uk/ear/research/chaitlab The UCL Ear Institute provides state-of-the-art research facilities across a wide range of disciplines and is one of the foremost centres for hearing, speech and language-related research within Europe. ** *Key Requirements* Applicants should have a UK/EU nationality and a 1^St class, or upper 2^nd degree in a relevant discipline (e.g. Psychology, Neuroscience, Engineering). The PhD work would require good programming skills (e.g. in Matlab). Previous experience with auditory research, functional brain imaging, signal processing and/or acoustics is desirable. *For an informal discussion, or to submit an application please contact Dr. Maria Chait (**m.chait(a)ucl.ac.uk* <mailto:m.chait@ucl.ac.uk>*). Applicants should submit a supporting statement, a CV, and the details of two academic referees. The studentship includes fees and a yearly stipend (about £16000; tax free). * Maria Chait PhD m.chait(a)ucl.ac.uk <mailto:m.chait@ucl.ac.uk> Reader in Auditory Cognitive Neuroscience UCL Ear Institute 332 Gray's Inn Road London WC1X 8EE

11 years, 4 months

Fwd: PhD position in multimodal neuroimaging (PET/DTI/fMRI)

by Gary Green

A doctoral (PhD) position is open in the research group Multimodal Imaging in Normal and Pathological Cognition (Head: Dr. Igor Yakushev) at the Department of Nuclear Medicine, Technische Universität München (TUM), Munich, Germany. The project is dedicated to analyses of multimodal brain imaging data obtained from patients with mild cognitive impairment and Alzheimer’s dementia, with the focus on multivariate analyses of PiB-Positron Emission Tomography (PET) images. In particular, the student will investigate spatial and temporal patterns of ß-amyloid deposition, in conjunction with patterns of structural and functional brain connectivity, as assessed by DTI/fMRI. The research group is integrated into the TUM Neuroimaging Center, which possesses a broad methodological and thematic expertise: http://www.tumnic.mri.tum.de/tumnic/index.html The PhD student will be enrolled at the TUM graduate school, which offers a structured curriculum of courses and seminars (mostly in English) and supports participation in conferences and international exchange: http://www.gs.tum.de/en/home/ The Dept. of Nuclear Medicine offers exciting opportunities for neuroimaging research, in an interdisciplinary environment consisting of medical physicists, radiopharmacists and clinicians, and access to state-of-the-art technology including a hybrid PET/MR scanner (Siemens Biograph mMR). Eligible candidates should have a background in applied mathematics, computer science, image analysis or related disciplines. Prior experience with PET or MRI, Matlab programming as well as good statistical skills are required. The student will be co-supervised by a partner department of the TUM (e.g., Informatics), depending on his/her academic background. A tax-free stipend of ca. 1500 EUR / month (+ ca. 1200 EUR / year for travel and material expenses) is available for initially two years, with the intention of prolongation for a further year. In addition, up to 450 EUR / month (tax-free) can be granted by the partner department, depending on performance of the student and availability of funds. There is no tuition fee. The position is supported by Alzheimer Forschung Initiative e.v. Germany, and can commence immediately. Interested researchers should submit their applications including CV, two recommendation letters (or names and contact details of personal references), and a brief letter of motivation to Dr. Yakushev at igor.yakushev(a)lrz.tum.de Applications will be considered until the position has been filled.

11 years, 4 months

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ynic-users January 2014