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Fwd: PhD studentship in computer vision, eye-tracking, and natural language, University of Edinburgh
by Gary Green 05 Mar '13

05 Mar '13

University of Edinburgh School of Informatics PHD STUDENTSHIP IN COMPUTER VISION, EYE-TRACKING, AND NATURAL LANGUAGE Applications are invited for a fully funded, three-year PhD studentship that combines ideas from computer vision, eye-tracking research, and natural language processing. The aim of the PhD project is to develop techniques for using human fixation data as recorded by an eye-tracker to train computer vision models, thus reducing the need for manual annotation. This approach will be augmented to exploit textual data (e.g., image captions) to improve object labeling. Another project aim is to crowd-source the eye-tracking data, e.g., through the use of webcams. Applicants for the studentship must have: * Strong undergraduate degree in computer science or a related discipline * Excellent programming skills * Solid mathematical foundations (especially linear algebra and probability theory) * Fluency in English, both written and spoken * UK or EU nationality -- this is mandatory; applicants of other nationalities will not be considered * Master's degree in a relevant area is desirable * Experience in computer vision, machine learning, natural language processing, or eye-tracking is desirable The School of Informatics at Edinburgh is one of the top-ranked computer science departments in Europe and offers an exciting, interdisciplinary research environment. Edinburgh is a beautiful historic city with a high quality of life. Starting date: September 2013 as soon as possible after that. The PhD work will be carried out under the supervision of Dr. Vittorio Ferrari and Dr. Frank Keller, whose research interests can be found at: http://groups.inf.ed.ac.uk/calvin/ http://homepages.inf.ed.ac.uk/keller/ For pre-screening, please send applications to the email address below, including: * Full CV * Full transcripts of both undergraduate and Master's degree (if applicable); this studentship requires high grades, especially in mathematics and programming courses * The names and email addresses of two referees * List of publications, if you have prior research experience Contact: Vittorio Ferrari, vferrari(a)staffmail.ed.ac.uk <mailto:vferrari@staffmail.ed.ac.uk> Deadline: 25 April 2013

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YNiC seminar 7th March
by rem 04 Mar '13

04 Mar '13

Dear Users This Thursday (YNiC open plan from 4.30 pm) there will be a talk by Miles Whittington from the Hull York Medical School. The title of the talk is "Physiology and pathology of neocortical delta rhythms". Everyone is welcome to attend and refreshments will be provided afterwards. Best wishes Rebecca -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

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Fwd: Associate Professor position available
by Gary Green 03 Mar '13

03 Mar '13

Monash University is seeking to appoint an academic with an outstanding track record in developmental cognitive neuroscience. See link for more details. http://jobs.monash.edu.au/jobDetails.asp?sJobIDs=510328&lWorkTypeID=&lLocat…

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Fwd: Post-doc position in Düsseldorf / Jülich
by Gary Green 03 Mar '13

03 Mar '13

The Cognitive Neuroscience Group at the Institute of Clinical Neuroscience, Heinrich-Heine University Düsseldorf headed by Prof. Simon Eickhoff, is looking to fill a post-doctoral position (E13/TVL). The position is available immediately and initial funding is secured for 2 years with the possibility of extension. Together with the Brain Network Modelling Group at the Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, we are dedicated to the multi-modal analysis of brain structure, function and connectivity. To this end, we employ functional and structural MRI (with research dedicated 3T, 4T and 9.4T scanners available), database-driven modeling and meta-analyses as well as analyses of structural (diffusion-weighted imaging), functional (resting-state analysis and co-activation modeling) and effective (Dynamic Causal Modeling) connectivity analyses. A key focus of our current work is the integration of multiple modalities, in particular the use of functional imaging meta-analyses as a priori information for resting-state connectivity analyses and DTI tractography. Further information and key publications may be found at: http://www.neurosciences-duesseldorf.de/principal-investigators-and-junior-… http://www.fz-juelich.de/inm/inm-1/EN/Forschung/Brain_Network_Modeling/Brai… <http://www.fz-juelich.de/inm/inm-1/EN/Forschung/Brain_Network_Modeling/Brai…> The recruited post-doc will perform cutting-edge research in the field of multi-modal connectivity analyses including the development, refinement and application of new analysis approaches. Moreover, he/she is encouraged to develop and sharpen a scientific profile in one of the topics covered by our group (inter-individual variability and aging, social cognition, executive control, pathophysiology of depression, schizophrenia or Parkinson’s). In doing so, the successful applicant will work in a dynamic team of young investigators and supervise interns and medical students working on related projects. Successful candidates should have a PhD or comparable degree. Proven experience and proficiency in either SPM or FSL and a solid publication record in brain imaging are absolutely required. Previous work on resting-state fMRI or diffusion tractography is highly advantageous as is programming expertise, in particular in Matlab. (Basic) knowledge of German is helpful for the interaction with non-scientific staff but not totally necessary. To apply, please send a CV, motivation letter and contact details of three academic referees to Simon.Eickhoff(a)uni-duesseldorf.de =================================== Univ.-Prof. Dr. med. Simon B. Eickhoff Cognitive Neuroscience Group Institute of Clinical Neuroscience and Medical Psychology Heinrich-Heine University Düsseldorf Telefon: +49 211 81 13018 Fax: +49 211 81 13015 eMail: Simon.Eickhoff(a)uni-duesseldorf.de <mailto:Simon.Eickhoff@uni-duesseldorf.de> and Brain Network Modelling Group Institute for Neuroscience and Medicine (INM-1) Research Center Jülich Telefon: +49 2461 61 8609 Fax: +49 2461 61 2820 eMail: S.Eickhoff(a)fz-juelich.de <mailto:S.Eickhoff@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr. Achim Bachem (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Fwd: PhD studentship in brain network modelling (University of Southampton's Institute for Complex Systems Simulation)
by Gary Green 03 Mar '13

03 Mar '13

Dear all, a funded PhD opportunity on brain network modelling has arisen in the Institute for Complex Systems Simulation. Details can be found here: http://www.findaphd.com/search/ProjectDetails.aspx?PJID=44233 Applications will be handled through the University of Southampton's Institute for Complex Systems Simulation http://www.icss.soton.ac.uk/apply.html and EPSRC funding restrictions apply http://www.icss.soton.ac.uk/studentships.html If you are interested, please do not hesitate to contact me with any questions. Best, Thomas Blumensath _____________________________________________ Thomas Blumensath, New Frontiers Fellow (Senior Research Fellow/Tenure Track Lecturer) ISVR, University of Southampton, Highfield, Southampton, SO17 1BJ, UK thomas.blumensath(a)soton.ac.uk

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Fwd: PhD position MPI Leipzig
by Gary Green 03 Mar '13

03 Mar '13

*PhD Position* *Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig* The Max Planck Institute for Human Cognitive and Brain Sciences Leipzig and the Collaborative Research Centre "Obesity Mechanisms" at the University Clinic Leipzig are offering 2 PhD studentships in the project "Neurocognitive Models of Behavioural Control in Obesity". The goal of this project is the development of detailed models of brain functioning with respect to cognitive control mechanisms and their alterations in human obesity using both neurobiological and computational modelling methods. This work combines structural and functional magnetic resonance imaging (MRI) with computational modelling and behavioural assessment. Research will be conducted at the MPI in Leipzig, an internationally leading centre for cognitive neuroscience and neuroimaging. The institute offers a multidisciplinary and international environment with excellent research facilities and infrastructure including a 7T and several 3T MRI scanners. The ideal candidate for position 1 holds a university degree (Masters or equivalent) in Neuroscience, Computer Science, Cognitive Science or similar with focus on computational aspects and has strong interests in the modelling of complex biological systems. Prior experiences in computational modelling and neuroimaging as well as programming skills are of advantage. The ideal candidate for position 2 holds a university degree (Masters or equivalent) in Neurobiology, Cognitive Science, Biology, Psychology or similar and has strong interests in systems neuroscience, neurotransmitter systems and large-scale network physiology. Prior experience in behavioural assessment and neuroimaging are of advantage. A solid background in statistics and proficiency in oral and written English are required for both positions. The positions are available for up to 4 years starting as soon as possible. Salary is based on the German public service regulations (E13/2, TV-L). The call will remain open until the positions are filled. Applications should be sent as a single PDF email attachment (max. 10-15 MB) to application_SFB1052(a)cbs.mpg.de quoting reference number "SFB1052". Complete Applications include cover letter, CV, one letter of reference and copies of university degrees and additional certificates. Please state explicitly which position you wish to be considered for. The MPI and University Clinic Leipzig are equal opportunity employers. Applications from female scientists are particularly encouraged. Handicapped applicants with equal qualification are preferred. Informal inquiries may be made to Dr. Annette Horstmann (horstmann(a)cbs.mpg.de) and Dr. Jane Neumann (neumann(a)cbs.mpg.de).

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YNiC seminar today (external speaker)
by rem 28 Feb '13

28 Feb '13

Dear Users This afternoon (YNiC open plan from 4.30 pm) there will be a talk by Michael Morgan from the Max Planck Institute for Neurological Research. The title of Michael's talk is "Effects (or non-effects) of attentional distraction on the BOLD response and behavioural adaptation". http://www.nf.mpg.de/cv/michael-morgan.html Everyone is welcome to attend and refreshments will be provided afterwards. Best wishes Rebecca -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

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Fwd: Postdoctoral Position Boston Children's Hospital/Harvard Medical School
by Gary Green 28 Feb '13

28 Feb '13

The Gaab Lab http://www.childrenshospital.org/research/gaablab and (www.babymri.org) <http://www.babymri.org)>) at the Laboratories of Cognitive Neuroscience at Children’s Hospital Boston (Developmental Medicine Center) invites applications for a NIH funded post-doctoral associate in the area of developmental cognitive neuroscience/pediatric fMRI. Available resources include a 3.0T MRI scanner, a child-friendly Mock scanner and analysis platforms based in MATLAB/UNIX. The candidate will be expected to design, organize and conduct pediatric and infant (f)MRI experiments, analyze behavioral and fMRI data, prepare manuscripts for publication, and participate in conferences. The NIH and foundation funded projects will focus on neural and behavioral pre-markers of developmental dyslexia in infants and pre-reading children as well as typical reading and language development. The successful applicant should have a doctoral degree in a field related to developmental cognitive neuroscience (e.g., cognitive neuroscience, neuroscience, developmental psychology, medicine or psychology). Individuals with a background in electrical engineering, biomedical engineering or computer science will also be considered, as appropriate. The successful applicant must possess excellent English verbal and written communication skills. Applicants are expected to have a very strong research background in the design and statistical analysis of functional brain-imaging experiments. Experience with SPM, FSL, Freesurfer, UNIX/LINUX/ and/or programming skills (MATLAB, C++; Python) are desirable and experience with MVPA or connectivity analyses a plus. Experience with pediatric functional neuroimaging and language and reading research are useful. Approximate start date is Spring/Summer 2013 (the earlier the better). Successful applicants will be appointed at Children’s Hospital Boston and Harvard Medical School. For consideration please send a statement of interest, a CV and a list of three potential referees via email to Nadine Gaab, PhD (nadine.gaab(a)childrens.harvard.edu <mailto:nadine.gaab@childrens.harvard.edu>). The search will continue until the position is filled. -- /"If we knew what it was we were doing, it would not be called research, would it?" A. Einstein (1879-1955)/// /Nadine Gaab, PhD/// /Assistant Professor of Pediatrics/// /Harvard Medical School / // /Faculty Affiliate/ /Program in Neuroscience, Harvard Medical School / // /Member of the Faculty of Education/// /Harvard Graduate School of Education/// // /Children's Hospital Boston Department of Medicine/////Division of Developmental Medicine/// /Laboratories of Cognitive Neuroscience 1 Autumn Street (Office 643) Boston, MA 02115/// /nadine.gaab(a)childrens.harvard.edu <mailto:nadine.gaab@childrens.harvard.edu>/// /phone: (857)-218-3021/// /Main Lab: 617-355-0400/// /fax: 617-730-0518/// /http://www.childrenshospital.org/research/gaablab/// ///www.babymri.org <http://www.babymri.org/>///

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Fwd: PhD in Computational Psychiatry
by Gary Green 28 Feb '13

28 Feb '13

The Translational Neuromodeling Unit (TNU) headed by Prof. Klaas Enno Stephan is a newly founded division of the Institute of Biomedical Engineering at the University of Zurich and the Swiss Federal Institute of Technology (ETH Zurich). Its mission is to translate advances in computational neuroscience into clinically useful diagnostic tools. To this end, the TNU brings together modellers, experimentalists and clinicians who jointly develop mathematical models of brain (dys)function and evaluate their diagnostic use for psychiatry and neurology in patient studies. We have access to a wide range of experimental facilities - including fMRI (3T & 7T), EEG, TMS, eye tracking - and are presently setting up a research clinic for patient studies. For more information, see http://www.translationalneuromodeling.org. The TNU invites applications for a doctoral student (PhD) position (duration 3 years). The topic concerns the development of decision-making experiments and mathematical models to answer specific clinical questions in psychiatric settings, such as the origin of the comorbidity between depression and anxiety, the length of an acute episode or predicting relapse in addiction. The project will first focus on developing decision-making models and experiments appropriate to the clinical question. The models will be psychologically and neurobiologically informed to maximize the chances of characterizing the relevant "hidden" neural processes from behavior, eye movements and imaging data. The successful applicant will primarily develop these models and conduct the experiments in both clinical and non-clinical populations. Essential qualifications and interests include both strong interests in psychopathology and mathematics or statistics. The applicant has - Either a mathematical background (e.g., a degree in engineering, physics, computer science, statistics, mathematical psychology, mathematical biology, machine learning or computational neuroscience) and a strong interest in psychopathology - Or a background in psychopathology (e.g. a degree in clinical psychology, experimental psychology, medicine, public health, neuroscience or epidemiology) and strong interest in mathematical methods Further essential qualifications are strong programming skills, an enjoyment of inter-disciplinary interactions with experimentalists and clinicians, a "team player" attitude, and an interest in biomedical questions and real-world applications of computational models. Additionally, the ideal applicant has experience with - Bayesian methods, and/or machine learning, - conducting or analyzing experimental data. The position is available immediately. Interested students should submit their applications (incl. CV, names of at least two referees, and a brief letter of motivation outlining their interests and explaining why they meet the above requirements) to Quentin Huys (tnu-jobs(a)biomed.ee.ethz.ch). Applications will be considered until the position has been filled.

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A potentially exciting opportunity
by Gary Green 28 Feb '13

28 Feb '13

http://www.wiko-berlin.de/fellows/schwerpunktgruppen/college-for-life-scien… -- --------------- Gary Green York Neuroimaging Centre The Biocentre York Science Park Innovation Way Heslington York YO10 5NY http://www.ynic.york.ac.uk https://www.ynic.york.ac.uk/about-us/people/ggrg tel. Claire Fox : +44 (0) 1904 435329 Claire,Fox(a)ynic.york.ac.uk fax +44 (0) 1904 435356 mobile +44 (0) 788 191 3004

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