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University of Kent, UK - PhD studentship on EEG-based mental fatigue study
by Caroline Li 23 Sep '13

23 Sep '13

PhD Scholarship available Brain Signal Analysis using EEG Research Theme : This project aims to perform analysis on EEG (Electroencephalography) data to investigate mental fatigue. More generally, we aim to find an indicator for the identification of brain states (i.e. fatigue, non-fatigue) using novel methods. It might have a wide range of applications (i.e. military, sports and medical applications). Key words : EEG, time-frequency analysis, phase synchrony, machine learning, pattern recognition, general linear model Location : University of Kent at Medway, UK (40-50 mins from London by train) Supervisor : Dr. Caroline Ling Li Co-supervisors : Prof. Samuele Marcora, Prof. Howard Bowman Funding Three-year PhD scholarship is available to UK, EU and overseas students and will cover home tuition fees plus a maintenance grant equivalent to the full UK Research Council rate. Criteria Applicant must have a good first degree or good Master's level degree. Ideally at Master level with relevant research experience. Strong programming or/and math skill is preferred. Previous research experience leading to publications would be an advantage. How to apply Send covering letter and CV together with contacts of two referees to c.li(a)kent.ac.uk<mailto:c.li@kent.ac.uk>, including contact detail, research interest and your suitability for this award. Please also include experience, if any, of academic or professional research; experience, if any, of teaching or mentoring. You must also complete the online form for making a formal application for a PhD (Doctor of Philosophy Research) in Computer Science at the University of Kent via http://www.kent.ac.uk/courses/postgrad/apply/index.html Successful candidate will be based at Medway Campus. Information about Medway Campus can be found here: http://www.kent.ac.uk/locations/medway/campus/index.html For more information, please go to: http://www.cs.kent.ac.uk/people/staff/cl339 or contact c.li(a)kent.ac.uk<mailto:c.li@kent.ac.uk> Kent provides a dynamic and challenging academic environment and has an excellent reputation for collaborative research with universities around the world. For more information about Kent's research portfolio see: www.kent.ac.uk/pg<http://www.kent.ac.uk/pg> ==================================================================================== Caroline Li (Ph.D)| Lecturer |School of Computing |University of Kent Founder of Brain|Cognition|Computing Lab M-318, Medway Building, University of Kent, Chatham, ME4 4AG Tel: +44(0)1634 202987 | Mobile: +44 (0) 79355 75488 | Skype: llwelcome921 Web: http://www.cs.kent.ac.uk/people/staff/cl339/index.html | E-Mail : c.li(a)kent.ac.uk<mailto:c.li@kent.ac.uk> ====================================================================================

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room change for Steve Engel talk
by rem 23 Sep '13

23 Sep '13

Dear Users Steve Engel's talk will now be held in B020 in the Department of Psychology on Friday 27th starting at 1.30 pm. Please see below for talk details. This Friday (starting 1.30 pm in *B020*) there will be a talk by Steve Engel, University of Minnesota, on "Plasticity, and its limits, in the adult visual system: Contrast adaptation from 4 minutes to 4 days" http://www.psych.umn.edu/engellab/ Abstract: Experience with the environment dramatically influences how we act, think, and perceive; understanding the neural plasticity that supports such change is a long-standing goal in cognitive neuroscience. In the visual system, neural function alters dramatically as people adapt to changes in their visual world, such as increases or decreases in brightness or clarity. Most past work on visual adaptation, however, has altered visual input only over the short-term, typically a few minutes. I will present a series of experiments that investigate adaptation over a much longer term. My laboratory recently developed "altered reality" technology that allows subjects to live in, and adapt to, experimentally manipulated visual worlds for hours and days at a time. Subjects viewed the world through virtual reality goggles that display video acquired from a head mounted camera, processed in real time on a laptop computer. In order to characterize long-term visual plasticity, we used image manipulations that targeted early visual cortex, and measured adaptation with perceptual tests. Effects of adaptation grew stronger and longer-lasting as the adapting duration extended from minutes to hours to days. The long term adaptation was behaviourally distinguishable from shorter term adaptation, suggesting that it is controlled by novel neural mechanisms. These controllers may allow vision to perform near optimally in an ever-changing world. Everyone is welcome to attend. N.B. This Friday afternoon talk is a one-off; YNiC seminars will continue on Thursdays from 4.30 pm. 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 -- ************************************************************************ 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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YNiC external speaker, Friday 27th, 1.30 pm
by rem 23 Sep '13

23 Sep '13

Dear Users This Friday (starting 1.30 pm in YNiC open plan) there will be a talk by Steve Engel, University of Minnesota, on "Plasticity, and its limits, in the adult visual system: Contrast adaptation from 4 minutes to 4 days" http://www.psych.umn.edu/engellab/ Abstract: Experience with the environment dramatically influences how we act, think, and perceive; understanding the neural plasticity that supports such change is a long-standing goal in cognitive neuroscience. In the visual system, neural function alters dramatically as people adapt to changes in their visual world, such as increases or decreases in brightness or clarity. Most past work on visual adaptation, however, has altered visual input only over the short-term, typically a few minutes. I will present a series of experiments that investigate adaptation over a much longer term. My laboratory recently developed “altered reality” technology that allows subjects to live in, and adapt to, experimentally manipulated visual worlds for hours and days at a time. Subjects viewed the world through virtual reality goggles that display video acquired from a head mounted camera, processed in real time on a laptop computer. In order to characterize long-term visual plasticity, we used image manipulations that targeted early visual cortex, and measured adaptation with perceptual tests. Effects of adaptation grew stronger and longer-lasting as the adapting duration extended from minutes to hours to days. The long term adaptation was behaviourally distinguishable from shorter term adaptation, suggesting that it is controlled by novel neural mechanisms. These controllers may allow vision to perform near optimally in an ever-changing world. Everyone is welcome to attend. N.B. This Friday afternoon talk is a one-off; YNiC seminars will continue on Thursdays from 4.30 pm. 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 on translational neuroimaging
by Gary Green 21 Sep '13

21 Sep '13

A postdoctoral position on translational neuroimaging is available at the Center for Biomedical Image Computing and Analytics, University of Pennsylvania (http://www.cbica.upenn.edu). The successful candidate must have background on and interest in using neuroimaging to solve clinical neuroscience problems. The position will entail involvement in various structural and functional neuroimaging studies utilizing advanced image analysis. CBICA is a dynamically growing medical image computing center, involving several laboratories and many collaborators from diverse fields. Please e-mail CV's to christos(a)rad.upenn.edu ** ** Christos Davatzikos, Ph.D. Wallace T. Miller Sr. Professor of Radiology and Electrical and Systems Engineering, Director, Center for Biomedical Image Computing and Analytics http://www.cbica.upenn.edu Director, Section of Biomedical Image Analysis http://www.rad.upenn.edu/sbia Joint Affiliations: Bioengineering and Applied Math graduate groups University of Pennsylvania 3600 Market street, Suite 380 Tel.: 215-349-8587 Email: christos(a)rad.upenn.edu The information contained in this e-mail message is intended only for the personal and confidential use of the recipient(s) named above. If the reader of this message is not the intended recipient or an agent responsible for delivering it to the intended recipient, you are hereby notified that you have received this document in error and that any review, dissemination, distribution, or copying of this message is strictly prohibited. If you have received this communication in error, please notify us immediately by e-mail, and delete the original message.

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Fwd: Post Doctoral Position
by Gary Green 21 Sep '13

21 Sep '13

Position open for an NIH funded study on development of imaging biomarkers based on DTI in Spinal Cord. The research will be performed on a wide bore Siemens 3T Verio scanner. Recent Ph.D graduates or candidates about to finish their doctoral thesis in Biomedical, Computer and or Electrical engineering or related fields are encouraged to apply. Significant knowledge in neuroimaging particularly in diffusion imaging is required. Programming experience in Matlab, C/C++ or similar platforms is a plus. Good communication skills are required. If interested please send CV to feroze(a)temple.edu <mailto:feroze@temple.edu> Feroze B. Mohamed, Ph.D. Functional Brain Imaging Center (TUMRIC) Temple University, Philadelphia, Pennsylvania.

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Fwd: Postdoctoral position available
by Gary Green 21 Sep '13

21 Sep '13

A postdoctoral position is currently available at the New York State Psychiatric Institute and Columbia University. Candidates must have completed a PhD in cognitive neuroscience, biomedical engineering, electrical engineering, computer science, or a related field. Research focuses on translational neuroimaging, multimodal MRI techniques, and attentional disorders in children and young adults. Requirements include: a) PhD in cognitive neuroscience, biomedical engineering, electrical engineering, computer science, or related fields. b) Computer programming skills (e.g., C/C++, Python, MATLAB) c) Facility in operating one or more common neuroimaging packages (e.g., AFNI, FSL, or SPM) Applicants should email their CV to: jep2111(a)columbia.edu Jonathan Posner, MD Assistant Professor of Clinical Psychiatry Division of Child and Adolescent Psychiatry Columbia University -- IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e- mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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Fwd: Postdoc Position (Model-Based fMRI, TU Dresden)
by Gary Green 21 Sep '13

21 Sep '13

Postdoc in Model-Based fMRI Within the Technische Universität Dresden, the Section of Systems Neuroscience is closely associated with the Department of Psychology and the Neuroimaging Center, which offers excellent research collaborations and infrastructure, e.g. a 3 Tesla MRI scanner for full-time research, MRI-compatible EEG and eye tracking, and access to the PET center at Dresden-Rossendorf. Our international and multidisciplinary group conducts basic research in neuroscience at the inter-face to clinical applications. We investigate the function of neural systems that are involved in ele-mentary cognitive processes such as emotion, motivation, learning, executive function, or decision making. In order to better understand neural mechanisms underlying mental disorders, we investi-gate how these processes contribute to the complex behavioral dysfunctions observed, for example, in addictive behavior. Within a new collaborative research centre on “Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions” (www.sfb940.de) we are seeking a postdoc for a project on “Dopaminergic and Serotonergic Modulation of Meta-Control Parameters”. The position is limited till 30.06.2016. This project aims to investigate the effects of neuromodulatory pathways on elementary cognitive processes such as reward processing, different facets of learning and decision making. For this purpose functional and molecular neuroimaging (MRI and PET), neuropharmacological interventions and genetics will be combined. The successful candidate will be involved in implementing experimental protocols, processing of behavioral and MRI data (e.g. by using computational modeling) and improving methods in the field of pharmacological MRI and model-based fMRI analysis. Furthermore, the successful candidate is expected to undertake project management duties including supervision of PhD students, data management, and publication of the results. Moreover, the position offers the possibility for further scientific qualification (i.e., Habilitation). Requirements: • Doctoral degree (Ph.D.) in any scientific field of study with a strong curriculum in cognitive neuroscience (i.e., psychology, neuroinformatics, mathematics, medicine) • Substantial hands-on experience in the field of neuroimaging, including knowledge of com-mon software packages (e.g. SPM or FSL, Freesurfer, Matlab, Python, Presentation, Psych-Toolbox) • Expertise in computational modeling (e.g., Rescorla-Wagner, Hidden Markov, Bayesian inference methods) of imaging data The ideal candidate would additionally be characterized by: • Sharing our passion to push the limits in understanding the brain • Keen interest in experimental approaches to study complex human behavior • Strong publication record We offer you the possibility of: • Working in an interdisciplinary team contributing to our understanding of the brain with the particular skills that you already have and will further develop • Being part of the structured program of our CRC • Arranging for flexible working hours to find a balance between work and family life • Providing for the future in the form of a company pension plan Women are explicitly invited to apply. Disabled persons will be preferred in case of equal qualification. Interested applicants should send their online application with the reference number PSY0913527 until October 06, 2013 to systems.neuroscience(a)tu-dresden.de. Please submit a full CV, transcript of records, statement of research interest (max. 2 pages), and names and contact information for two or three referees. For more information about the position please contact us via email or telephone (+49 351 46342201).

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Fwd: Postdoc Position (Computational Neuroscience, TU Dresden)
by Gary Green 21 Sep '13

21 Sep '13

Postdoctoral Position in Computational Neuroscience Within the Technische Universität Dresden, the Section of Systems Neuroscience (http://psychiatrie.uniklinikum-dresden.de/) is closely associated with the collaborative research centre on “Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions” (www.sfb940.de), the Department of Psychology and the Neuroimaging Center, which offers excellent research collaborations and infrastructure, e.g. a 3 Tesla MRI scanner for full-time research, MRI-compatible EEG and eye tracking, and access to the PET center at Dresden-Rossendorf. Our international and multidisciplinary group conducts basic research in neuroscience at the inter-face to clinical applications. We investigate the function of neural systems that are involved in ele-mentary cognitive processes such as emotion, motivation, learning, executive function, or decision making. In order to better understand neural mechanisms underlying mental disorders, we investi-gate how these processes contribute to the complex behavioral dysfunctions observed, for example, in addictive behavior. To further strengthen our lab, we are seeking for a postdoc in Computational Neuroscience. The position is limited till 30.06.2016. The successful candidate will be an independent researcher with proven record in quantitative modeling of complex data with strong organizational and team-work abilities. Previous experience in brain imaging is not required, but highly useful. The optimal candi-date will be in charge of processing behavioral and MRI data (e.g. by using model-based fMRI) and developing new and improving existing methods in the field of computational neuroscience and model-based fMRI analysis. Furthermore, the successful candidate is expected to instruct and supervise PhD students and postdocs. In addition, the position offers the possibility for further scientific qualification (i.e., Habilitation). Requirements: • Doctoral degree (Ph.D.) in any scientific field of study with a strong quantitative background (e.g., mathematics, informatics, statistics, computational neuroscience, biomedical engineering) • Keen interest in experimental approaches to study complex human behavior • Expertise in computational modeling of behavioral and/or imaging data (e.g., Bayesian inference methods and statistics, hidden Markov modeling, machine learning, reinforcement and temporal difference learning, connectivity analyses). The ideal candidate would additionally be characterized by: • Sharing our passion to push the limits in understanding the brain • Substantial hands-on experience in the field of neuroimaging, including knowledge of com-mon software packages (e.g. SPM or FSL, Freesurfer, Matlab, Python, Presentation, Psych-Toolbox) • Strong publication record We offer you the possibility of: • Working in an interdisciplinary team contributing to our understanding of the brain with the particular skills that you already have and will further develop • Arranging for flexible working hours to find a balance between work and family life • Providing for the future in the form of a company pension plan Women are explicitly invited to apply. Disabled persons will be preferred in case of equal qualification. Interested applicants should send their online application with the reference number PSY0913528 until October 06, 2013 to systems.neuroscience(a)tu-dresden.de. Please submit a full CV, transcript of records, statement of research interest (max. 2 pages), and names and contact information for two or three referees. For more information about the position please contact us via email or telephone (+49 351 46342201).

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Fwd: Group Leader in Warsaw/Poland - Laboratory of Brain Imaging (LOBI)
by Gary Green 21 Sep '13

21 Sep '13

Applications are invited for a Laboratory of Brain Imaging (LOBI). The primary objective of this position is to manage the MRI Brain Imaging Core Facility, within the newly constructed Neurobiology Center and to perform research using structural and functional magnetic resonance imaging, electroencephalography (EEG) and transcranial magnetic stimulation (TMS). LOBI is equipped with 3T scanner, MR compatible 64-channel EEG system and TMS Requirements for candidates are: • PhD degree (or equivalent) in science, biological sciences or technological sciences • documented experience in structural and functional brain imaging knowledge and ability to use software for MRI data analysis (for e.g. SPM, FSL, AFNI) • outstanding publication record • experience in team management • experience in the management and implementation of research projects • be highly motivated (demonstrated via joint publications, references of the candidate' s thesis tutor, previous post-doctoral positions different from the PhD awarding institutions), • be proficient in English • preferred knowledge of EEG and TMS techniques Admission: The application should contain the following documents/information: • CV • Letter-of-intent • 2 letters of reference • Copy of PhD diploma (or equivalent) • Contact information, including e-mail address and phone number • The candidates may include additional information or copies of documents/certificates in support of the application. Job details Job #166881 http://www.fens.org/jobs/?position=group%20leader&status=valid&limit=10&act… Group Leader in Warsaw/Poland Closing date: 2013-09-30 Employment start date: - the start date wasn't set Contract length: 5 years Institution: Nencki Institute of Experimental Biology Polish Academy of Sciences, Warsaw, Poland Department: Laboratory of Brain Imaging Contact Information Urszula Dziewulska Nencki Institute of Experimental Biology Polish Academy of Sciences, Warsaw, Poland Pasteur 3 02-093 Warsaw Poland Phone: Fax: E-mail: u.dziewulska(a)nencki.gov.pl Website: http://www.nencki.gov.pl

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Fwd: postdoc opening
by Gary Green 21 Sep '13

21 Sep '13

Hi, I am looking to hire talented postdocs to develop novel image analysis and machine learning algorithms for the Human Connectome Project data. This is my research webpage: https://sites.google.com/site/yeoyeo02/. See more information below. Regards, Thomas Requirements: Ph.D. in computer science, electrical engineering, statistics or related fields. Candidates should have previously published research in image processing or statistical analysis, preferably in biomedical applications. Compensation: Competitive and commensurate with experience Institutes: Perform ground-breaking research at the National University of Singapore (NUS), while enjoying the beautiful sceneries and cultures of South-East Asia. NUS is a research-intensive university consistently ranked among the top 30 universities in the world (http://en.wikipedia.org/wiki/National_University_of_Singapore#University_ra…). Successful candidates may be required to travel between Singapore and the U.S. for certain projects. Contact: Interested candidates should email Thomas (ythomas(a)csail.mit.edu) with CV and/or questions. To apply, please send cover letter, CV and names/contact information of 3 people who can provide letters of reference.

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