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by Gary Green

Please read the attached concerning a workshop about resting state networks in the brain October 10th at YNiC All welcome Gary -- Gary Green Director 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. +44 (0) 1904 435349 PA - Claire Fox : +44 (0) 1904 435329 fax +44 (0) 1904 435356 mobile +44 (0) 788 191 3004

11 years, 7 months

Fwd: Postdoc Position in Modelling Functional Whole Brain Connectivity from fMRI

by Gary Green

*Postdoc Position in Modelling Functional Whole Brain Connectivity from fMRI* * * DTU Compute, Technical University of Denmark would like to invite applications for a 1-year Post Doc position starting as early as 1 November 2013, with possibility for an extension to two years. *Project Description* Functional magnetic resonance imaging (fMRI) has become a key non-invasive brain imaging technique used to quantify the functional connectivity of the brain. While this imaging modality can be used to derive connectivity estimates inferring the global patterns of functional connectivity at the whole brain level poses an important modeling challenge. The main goal of this project is to develop and apply tools for the modeling of whole brain functional connectivity based on fMRI data. Key components in the project include fMRI data processing and connectivity analysis using Bayesian modeling approaches. The project will be based on current work on non-parametric Bayesian models of brain connectivity and will be part of a larger project “Non-parametric Relational Modelling of Functional and Structural Brain Connectivity” funded by the Lundbeck Foundation (2012-2017) aiming at inferring whole brain connectivity from fMRI and diffusion MRI data. *Qualifications* Candidates must have a PhD degree in engineering or equivalent academic qualifications. Experience in multivariate modeling approaches for neuroimaging data in general and fMRI data in particular is a definite advantage. Proficiency programming in Matlab and using fMRI neuroimaging software is also important while the applicant is expected to have a basic knowledge about the human brain. Excellent communication skills in English are essential. *We offer* We offer an interesting and challenging job in an international environment focusing on education, research, public-sector consultancy and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world. *Salary and terms of appointment* The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. *Further Information* Further information concerning the available position can be obtained from Associate Professor Morten Mørup <mailto:mm@imm.dtu.dk> at Section for Cognitive Systems, DTU Compute, Technical University of Denmark or Senior Researcher Kristoffer Hougaard Madsen <mailto:kristofferm@drcmr.dk>at Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre. *Application procedure: *Please submit your online application no later than *20 October 2013*. Applications must be submitted as *one PDF file *containing all materials to be given consideration. To apply, please visit http://www.compute.dtu.dk/english/about_us/vacant_jobs/a58fd704-92b0-495c-a… and open the link "Apply online”, fill in the online application form, and attach *all your materials in English in one PDF file*. The file must include: ·Application (cover letter) ·CV ·Diploma ·List of publications Applications and enclosures received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. /DTU Compute conducts research and education in the fields of mathematical modelling and computer science. The expanding mass of information and the increasingly complex use of advanced technology in society demand development of advanced computer based mathematical models and calculations. The unique competences of the institute are in demand in IT innovation and production. DTU is a technical university providing internationally leading research, education, innovation and public service. Our staff of 5,000 advance science and technology to create innovative solutions that meet the demands of society; and our 9,000 students are educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies./

11 years, 7 months

Fwd: [SPM] PhD Studentship

by Gary Green

UCL Institute of Neurology, Wellcome Trust Centre for Neuroimaging PhD Studentship: A framework for tracking changes in MRI data of the spinal cord and brain. Applications are invited for a PhD studentship at the Wellcome Trust Centre for Neuroimaging (WTCN) under the supervision of Prof. John Ashburner and in collaboration with the Spinal Cord Injury Center, University of Zurich. The anticipated start date is 1^st Nov, 2013. Project The work will involve developing computing frameworks to address both of the following challenges: *Atlas of the head and neck.* Develop a framework for learning tissue probability atlases from large datasets of MRI scans. The primary aim will be to extend our existing brain image segmentation approach [1] (released with our Statistical Parametric Mapping software – SPM -http://www.fil.ion.ucl.ac.uk/spm) to use atlas data from both head and neck. This would allow clinicians to more easily analyse MRI data of patients with neurological diseases involving the spinal cord. The framework should generalise to MRI scans of all body parts, both human and non-human. The project may require some parts of a relatively small number of scans to be manually segmented, with the aim of generalising these segmentations to other scans. *Longitudinal change modelling.* Anatomical MRI scans of the head and neck, collected at a number of time points following a spinal incidence such as trauma, allow atrophy rates to be determined via longitudinal image registration procedures. Image registration essentially forms a generative model of the underlying atrophy [2], described by a set of differential equations. The project will involve developing a more realistic longitudinal model of atrophy (and possible recovery) for data containing data from more than two time points. This may involve parameterising longitudinal changes in terms of both rates of change (ie velocity) and its acceleration or deceleration. [1] Ashburner, J & KJ Friston (2005). /Unified segmentation/. NeuroImage 26(3):839–851. [2] Ashburner J & GR Ridgway (2013). /Symmetric diffeomorphic modeling of longitudinal structural MRI/. Frontiers in neuroscience 6. Environment The student will be tightly integrated in our world-leading lab at UCL, primarily supervised by Prof. Ashburner. The student will have the opportunity to attend UCL courses in relevant subject areas, as well as to interact with students and postdoctoral researchers from other departments. Funding The studentship is funded for 3 years (1^st Nov, 2013 – 31^st Oct, 2016) and will cover UK/EU university tuition fees and an annual stipend of £18,000 (tax free). Note that overseas candidates (i.e., non EU/UK) can only be considered if they provide formal proof, at the time of application, of a scholarship which funds the additional overseas tuition fees. Person specification * At least a 2:1 BSc in a mathematical subject (or equivalent EU/overseas degree), but ideally an outstanding MSc in a related area. * Strong analytical/mathematical skills, ideally with some knowledge of Bayesian modelling approaches. * Programming experience, preferably high proficiency in MATLAB and C/C++. * An interest in medical image processing, and a desire to learn more. * Good communication skills - especially in written English. * A strong work ethic, with the ability to think creatively and work independently. Duties and Responsibilities * Develop models for MR images under the direction of Prof. Ashburner. * Implement and maintain the software arising from the PhD work. * Work in collaboration with clinical researchers and MR physicists, who will help guide the project and who may need some training in making use of the PhD work. * Prepare progress reports on research as required. * Prepare manuscripts for submission to peer-reviewed journals. * Prepare presentations, including text and images, for delivery by self and others. * Travel for training, collaboration and other meetings or conferences. * Contribute to the overall activities of the research team and department as required. * Maintain an awareness and observation of Fire and Health and Safety Regulations at UCL and other facilities to be visited. Actively follow UCL policies including Equal Opportunities and Race Equality policies. Informal enquiries Please email Prof. John Ashburner for further information about the project (j.ashburner(a)ucl.ac.uk <mailto:j.ashburner@ucl.ac.uk>). Application procedures Application is by CV and covering letter (including motivation for applying) emailed to ion.educationunit(a)ucl.ac.uk <mailto:ion.educationunit@ucl.ac.uk>. Candidates short-listed for interview will be required to give a short research presentation. Please put “WTCN Spine Studentship” in the subject line. Closing Date: 14^th October, 2013

11 years, 7 months

Fwd: RA Post

by Gary Green

This is from a new senior research leader within the University of York. --------------------------- Postdoctoral Research Associate – University of York____ The Stockholm Environment Institute, York (SEI-Y) is seeking to employ a Research Associate for a UK Research Council funded project called /Mobility, Mood and Place: a user-centred approach to design of built environments to make mobility easy, enjoyable and meaningful for older people. /The project is led by the University of Edinburgh in collaboration with the Universities of York, Heriot Watt and King’s College London. ____ You will be required to work with mobile Electroencephalography (EEG) – combining a Global Positioning System (GPS) recorder with an EEG ‘Neuroheadset’ - to explore how environmental affect (or mood of place) affects older people’s (65+) judgments, actions and mobility in the built environment. The role requires a track record in designing, conducting and interpreting EEG data to make rigorous inferences about cognitive and emotional states arising from movement in specific settings. Statistical expertise in managing complex data sets is required, together with experience in software/hardware for human behaviour research.____ The link for the University of York Research Associate Post is:____ https://jobs.york.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=3885&p_we… __ Please contact Dr Jenny Roe for further information: jenny.roe(a)york.ac.uk <mailto:jenny.roe@york.ac.uk> -- Dr Jenny Roe Senior Research Leader Stockholm Environment Institute University of York YO10 5DD Tel: 01904 323480 email: jenny.roe(a)york.ac.uk <mailto:jenny.roe@york.ac.uk> web: http://www.york.ac.uk/sei/staff/jenny-roe/

11 years, 7 months

Fwd:] 3 postdoc positions in Department of Social Neuroscience, Max Planck, Leipzig, Germany

by Gary Green

-------------------------------- The Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, Department of Social Neuroscience led by Prof. Dr. Tania Singer invites applications for three different postdoc positons. More information can be found below and online here: www.cbs.mpg.de/depts/singer/vacant/ *1) Research Group Leader (W2) within the Department of Social Neuroscience or Senior Postdoc position * We seek talented, dynamic, independent, and motivated scientists early in their career to fill an independent W2-MPRGL position or senior postdoc position and have the ambition to work in the field of social and cognitive neurosciences (e.g., social cognition, emotions, neuroplasticity). Such a position is highly prestigious and comes with generous core funding, so that research initiatives can get started right away. The successful candidate has 2-4 years’ research experience as a postdoctoral fellow and has an extensive expertise in structural and functional MRI (preferably with SPM, Matlab) and behavioral analyses. He/she will be involved in all areas of the departmental research program as well as be part of a longitudinal study investigating the effects of affective and cognitive mental training on neural plasticity, health, subjective well-being, and behavior (see www.resourc-project.org). Knowledge of other neuroscientific methods (e.g., multivariate pattern analysis (MVPA), rt-fMRI, DTI, TMS/tDCS) would be advantageous. Moreover, we expect the candidate to supervise doctoral students independently. He/she should have an outstanding scientific track record with clear evidence of leadership and other scholarly promises in the form of high-impact publications and other achievements. The position is primarily devoted to research, with no teaching, and minimal administrative duties. * 2) Postdoc in Cognitive & Social Neuroscience, Motivation Psychology and Neuroeconomics* The position has been created within the framework of a new project funded by the Institute for New Economic Thinking (INET; http://ineteconomics.org). The cooperation will consist of a small group of four researchers under the supervision of Prof. Dr. Tania Singer and Prof. Dr. Dennis J. Snower. The research of this group aims to provide a broader understanding of how motivation influences economic decision making, with a view to exploring the opportunities for cooperation in addressing public goods problems. To this end, the group will combine empirical research methods from psychology and neurosciences (focusing on motivation, social cognition and emotion) with behavioral economics methods (based on game theoretical paradigms), computational models, as well as neuroscientific approaches (e.g., fMRI, TMS). This research is expected to provide evidence that can be used to generate models of economic decision making that are based on human biology and psychology. More information can be found here: www.caring-economics.org The successful candidate has a solid education in behavioral economics (game-theoretical paradigms) and/or neuro-economic methods (MRI) combined with knowledge and strong interest in motivational psychology and/or social affective neurosciences (including pharmacological interventions such as oxytocin, cortisol, etc.). Knowledge of computational neuroscience would be advantageous. He/she also shows evidence of scholarly promise in the form of publications in high-impact journals and other achievements. The position is primarily devoted to research, with no teaching and minimal administrative duties. * 3) Postdoc in Biopsychology* The successful candidate will be primarily involved in the analyses of a huge battery of different bio-psychological data from a large-scale and unique longitudinal study, the ReSource Project (www.resource-project.org), investigating 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. The successful candidate has finished their PhD and may already have held a postdoctoral position, and they show evidence of high scholarly promise in the form of publications and other academic achievements. He/she has expertise in endocrinology, immunology, (epi-)genetics, and the corresponding psychophysiological paradigms. -- Prof. Dr. Tania Singer Director Max Planck Institute for Human Cognitive and Brain Sciences Department of Social Neuroscience Stephanstr. 1a 04103 Leipzig, Germany Tel. +49 341 9940 2686 Email: singer(a)cbs.mpg.de Web: http://www.cbs.mpg.de/singer

11 years, 7 months

Fwd: Postdoc position available

by Gary Green

A postdoctoral position is currently available at Columbia University and the New York State Psychiatric Institute. 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 <mailto:jep2111@columbia.edu> -- Jonathan Posner, MD Assistant Professor of Clinical Psychiatry Columbia University 212-543-2533 phone 314-271-2446 fax All information sent within this communication is confidential. If you are not the intended recipient, please discard immediately.

11 years, 7 months

Fwd: Postdoc in social neuroscience

by Gary Green

A postdoctoral position is available in the Hamilton lab at UCL to study human social interaction using fMRI. The project is funded by an ERC grant and will involve using virtual reality tools to examine brain and cognitive systems for the control and detection of imitation. Closing date: 23rd October The full advert is here: http://www.jobs.ac.uk/job/AHI475/research-associate-in-social-neuroscience/ More background is on the lab website at www.antoniahamilton.com <http://www.antoniahamilton.com> Do email me (a.hamilton(a)ucl.ac.uk <mailto:a.hamilton@ucl.ac.uk>) with any questions.

11 years, 7 months

University of Kent, UK - PhD studentship on EEG-based mental fatigue study

by Caroline Li

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> ====================================================================================

11 years, 7 months

room change for Steve Engel talk

by rem

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

11 years, 7 months

YNiC external speaker, Friday 27th, 1.30 pm

by rem

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

11 years, 7 months

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