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Fwd: [JOB] Postdoctoral Position on Machine Learning
by Gary Green 10 Jan '14

10 Jan '14

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>).

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Fwd: Research Assistant Position Available at Stanford University
by Gary Green 10 Jan '14

10 Jan '14

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.

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Fwd: PhD position - computational modelling
by Gary Green 10 Jan '14

10 Jan '14

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

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Fwd: Fwd: Postdoc-Stelle am ISN, Hamburg
by Gary Green 10 Jan '14

10 Jan '14

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

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Fwd: Research Associate/Senior Research Associate in Real-Time fMRI
by Gary Green 10 Jan '14

10 Jan '14

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

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Fwd: PhD position at the UCL Ear Institute
by Gary Green 02 Jan '14

02 Jan '14

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

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Fwd: PhD position in multimodal neuroimaging (PET/DTI/fMRI)
by Gary Green 02 Jan '14

02 Jan '14

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.

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Fwd: PhD Positions, Brainnetome Center, CASIA
by Gary Green 02 Jan '14

02 Jan '14

Dear list, *Job1: PhD Positions are available in Neuroimaging and Brainnetome* Applications close: *Jan. 15, 2014*. *CAS-TWAS President’s Fellowship Programme Download <http://www.brainnetome.org/images/job/PhD_Positions_CASIA.zip>* The role The development of the brain is characterised by the formation of connections between neurons. One of the largest fibre tracts in the brain is the corpus callosum, which connects neurons in the left and right cerebral hemispheres. We are using molecular and genetic approaches as well as state-of-the-art imaging technologies to discover how the brain is wired up during development. This work has direct implications for understanding how the brain functions and the pathophysiological mechanism of psychiatric disorders, by integrating the multi-level network features obtained with various functional and anatomical brain imaging technologies on different scales. Five PhD positions are available at Brainnetome Center of CASIA to utilise neuroimaging technologies to discover mechanisms of brain wiring. These positions will be supported by CAS-TWAS President’s Fellowship Programme for PhD Candidates from Developing Countries and other grants. They involve developing neuroimage analysis methods and tools and applying them to neuroscience and clinical problems. In this role the students will develop skills in developing computational algorithms and computer programming in neuroimage analysis that could be utilised in both basic research and clinical areas. The person Applicants should meet the requirements of “CAS-TWAS President’s Fellowship Programme for PhD Candidates from Developing Countries” and have MSc degree in one of the following fields: mathematics, physics, neuroimaging, computer science, electronic engineering, neurobiology, psychology, cognitive neuroscience, psychiatry, and neurology. Outstanding C/C++ programming skills in Linux are highly desired. Enquiries Please contact Professor Tianzi Jiang at jiangtz(a)nlpr.ia.ac.cn <mailto:jiangtz@nlpr.ia.ac.cn>. In order to complete the form application process, please fill in the * Fellowship form <http://www.brainnetome.org/images/job/PhD_Positions_CASIA.zip> Applications close: *Jan. 15, 2014*. Please visit our homepages www.brainnetome.org <http://www.brainnetome.org> Sincerely, Yong -- Best wishes. -------------------------------------------------------------------- Liu Yong Brainnetome Center National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA) http://www.brainnetome.org/yongliu

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Fwd: Open plan closure in new year
by Gary Green 22 Dec '13

22 Dec '13

Dear all, Due to building work in the open plan area, to support the increased numbers of students, YNiC's open plan area will be closed to users from the start of January for around two weeks. The open plan area will re-open to users on Monday January 13th. MRI, and MEG will not be affected during this time although users will not be able to store their belongings in the open plan area. Remote access should be largely unaffected except during periods when the power or local network has to be turned off for new cabling to be installed. We will provide more information when it becomes available. Please also note that we will be making an announcement about the location of ynic seminars once we have been updated about the availability of space in Psychology (or elsewhere). Seasonal Greetings from the YNiC Team Gary

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Fwd: Postdoctoral Fellowship in Functional MRI Research
by Gary Green 22 Dec '13

22 Dec '13

The Department of Anesthesiology, University of California at Los Angeles would like to invite applications for one year Postdoctoral Fellow position starting from January 1, 2014 (or as soon as possible), with possibility for two more years extension, based on satisfactory performance. _Project details_ Functional magnetic resonance imaging (fMRI) has become non-invasive procedure to examine task-specific brain activity and to quantify functional connectivity at resting stage. The primary goal of this project is to develop, optimize existing tools in the lab, and apply them to model whole-brain functional connectivity based on resting stage fMRI data and examine brain fMRI signal responses to autonomic and other challenges using data collected from patients with heart failure and obstructive sleep apnea. _Qualifications_ A PhD in mathematics, biomedical engineering, electrical engineering, neuroscience, or related field with background and research experience in functional MRI-related research in humans, especially in functional MRI data processing and MATLAB-based programming, reflected in data based publications, is required. Experience in MRI data acquisition is also desirable. Excellent communication skills in English (both verbal and written) are essential. _Environment_ Our lab is part of the neuroscience research community at UCLA, the largest neuroscience community in the nation, which hosts a large number of neuroscientists (>500), who provide resources for neuroanatomic, neuropathologic, neurophysiologic, neuropsychologic, and analytic investigations. Our 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 opportunities to interact with those scientists. Our lab uses a 3.0-Tesla (Siemens, Tim-Trio) MRI scanner, located in the Department of Radiology Research laboratory, a unit devoted to research studies with on-site Ph.D.-level Siemens engineers. _Appointment Terms and Salary_ The initial appointment would be for one year, with possibility for two more years extension, based on satisfactory performance. Salary and benefits would be based on UCLA post-doctoral standards, which are based upon research experience and qualifications for the position. _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 In-Residence 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 Fax: 310-825-2236 Email:rkumar@mednet.ucla.edu ------------------------------------------------------------------------ IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

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