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Fwd: PhD position, computational neuroimaging, Dresden/Germany
by Gary Green 11 Jun '14

11 Jun '14

--------- The Department of Psychology, Institute of General Psychology, Biopsychology and Methods of Psychology, Chair of Neuroimaging (Prof. Dr. Stefan Kiebel) invites applications for a Member of academic staff / PhD student (E 13 TV-L) with 50 % of the fulltime weekly hours. The position will start (ideally) on 01.10.2014. The PhD position is initially limited for 3 years. A contract extension for a fourth year is possible. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The main research goal is the development and experimental testing of novel computational models of decision making. The computational models typically employ Bayesian inference and experiments are performed using fMRI and EEG. The Chair of Neuroimaging has full access to all experimental facilities at the Neuroimaging Center at the TU Dresden. The Neuroimaging Center is equipped with a research-only MRI scanner (Siemens 3T TIM Trio), MRI-compatible EEG and eye tracking, and a transcranial magnetic stimulation (TMS) unit. All experimental facilities are supported by experienced physics and IT staff. For computational work, the group has access to the TU Dresden high-performance computing clusters. The Chair of Neuroimaging will be newly established at the TU Dresden, and will move from the Max Planck Institute in Leipzig (http://www.cbs.mpg.de/depts/n-3/dyn/@@index.html) to Dresden. Tasks: The PhD student will work on a series of projects in the area of decision making using computational modelling of behavioural and neuroscientific data. Requirements: The candidate should have either (i) a university degree in psychology or cognitive neuroscience and a strong interest in computational modeling, or (ii) a university degree in mathematics, computational neuroscience, physics, or similar with a strong interest in performing neuroimaging experiments for testing computational models. The position is ideal for candidates interested in research at the interface between computational modeling and experimental neuroimaging. For questions or an informal discussion about this position please contact Prof. Stefan Kiebel (stefan.kiebel(a)tu-dresden.de). Applications from women are particularly welcome. The same applies to people with disabilities. Applicants should send their application documents (cover letter including a brief description of personal qualifications and future research interests, CV and contact details of two personal references) until 07.07.2014 (stamped arrival date of the university central mail service applies) - preferentially via e-mail as a single PDF-file - to julia.herdin(a)tudresden.de (Please note: We are currently not able to receive electronically signed and encrypted data.) or to TU Dresden, Fakultät Mathematik und Naturwissenschaften, Fachrichtung Psychologie, Institut für Allgemeine Psychologie, Biopsychologie und Methoden der Psychologie, Professur für Neuroimaging, Herrn Prof. Dr. Stefan Kiebel, 01062 Dresden. -- Stefan Kiebel, Ph.D. Professor of Neuroimaging Dept of Psychology Technical University Dresden, Germany Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany http://www.cbs.mpg.de/~kiebel

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Fwd: Post-Doctoral Fellow Position - Wake Forest
by Gary Green 09 Jun '14

09 Jun '14

*Post-Doctoral Position in neuroimaging of mild TBI* *Advanced Neuroscience Imaging Research Lab, Wake Forest University, Winston-Salem, NC* An NIH-funded post-doctoral position is available for a highly motivated scientist for research in sports concussion and brain imaging methods including functional MRI, diffusion tensor imaging, ASL, voxel-based morphometery, and magneto-encephalography. The position is in the Advanced Neuroscience Imaging Research Lab at the Wake Forest University School of Medicine. The research project involves studying sports related sub-concussive impacts using biomechanical measures, cognitive testing, and multimodal imaging data. The candidate will have opportunities to develop skills in imaging techniques, experimental design, data analyses, and cognitive/sensory neuroscience. Candidates should have strong analytical and computer skills including familiarity with Unix, Matlab, SPM and/or FSL. This post will involve working with other collaborative members of the project (including imaging scientists, cognitive neuroscientists, biostatisticians, and biomechanical engineers), and developing and applying brain image analysis software tools. Applicants should have a Ph.D., M.D., or equivalent in any of the following areas: neuroscience, neuroimaging, biomedical engineering, machine-learning, network science, cognitive neuroscience, sports-related physiology, or MR-related disciplines. Previous experience in functional brain imaging, statistical signal processing or cognitive/systems neuroscience is preferred. Link to online application:http://www.wakehealth.edu/HR/Jobs-Search-Results.htm?st=6552&ca… Interested applicants may also send their curriculum vitae to: Joseph Maldjian, MD Department of Radiology Wake Forest University School of Medicine Winston-Salem, NC 27157 maldjian(a)wakehealth.edu <mailto:maldjian@wakehealth.edu> www.ansir.wfubmc.edu <http://www.ansir.wfubmc.edu>

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Fwd: Post-doctoral Position - University of Miami
by Gary Green 09 Jun '14

09 Jun '14

University of Miami, College of Arts & Sciences, Department of Psychology Post-doctoral Associate position. The Bridging Research on Anxiety, Innovations, and Neuroscience (BRAIN) Group in the Department of Psychology seeks a full-time post-doctoral fellow to join their neuroimaging research team. The start date is flexible, although Summer/Fall 2014 is preferred. Individuals interested in understanding the neural correlates of anxiety disorders are particularly encouraged to apply. Research focuses on functional neuroimaging and translational approaches to the study of fear/safety learning and attention using a developmental perspective. Additional information can be found at http://www.psy.miami.edu/brain/. Successful applicants should have completed a Ph.D. in psychology, neuroscience, or a related field. Candidates should also have a strong publication record including neuroimaging studies and substantial experience with data analysis (e.g., AFNI, SPM, statistical analysis (e.g., SPSS) and computer programming (e.g., Eprime, Matlab). Applicants must submit an application through the University of Miami Careers website and send a cover letter describing research interests and career goals, CV and 3 letters of reference to Jennifer Britton, Ph.D. (j.britton(a)miami.edu). Applications will be considered on a rolling basis until the position is filled. Position# 049558 The University of Miami offers competitive salaries and a comprehensive benefits package including medical and dental benefits, tuition remission, vacation, paid holidays and much more. The University of Miami is an Equal Opportunity/Affirmative Action Employer. Link to Application: http://um.hodesiq.com/job_detail.asp?JobID=4489062&user_id=&ViewAll=

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YNiC seminar 12th June (external speaker)
by rem 09 Jun '14

09 Jun '14

Dear Users This Thursday (starting 4 pm in B020, Department of Psychology) Dr. Mark Woolrich from the Oxford Centre for Human Brain Activity will give a talk on "Fast transient networks in spontaneous brain activity". Abstract: In recent years interest has grown in the study of networks of functionally specific brain regions, principally through the use of functional MRI on the resting brain. Resting state brain networks have also been independently identified in magentoencephalography (MEG) data by looking at correlations in the power of oscillations in specific frequency bands [Brookes et al., PNAS, 2011]. However, the mechanisms and dynamics underlying resting-state brain activity remain under debate. In this talk I will present a two-pronged approach to investigating spontaneous brain activity using MEG. First, the use of a novel hidden Markov model approach to identify resting state brain networks that switch on the order of 100ms, much faster than has previously been reported. Second, the use of computational network models, based on anatomical white matter connectivity, that can simulate functional connectivity characteristics similar to those seen in real MEG data. Everyone is welcome to attend and refreshments will be served in the C block reception afterwards. We will be taking Mark out for dinner after his talk. Please let me know if you would like to join us. 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: Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships)
by Gary Green 07 Jun '14

07 Jun '14

Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships) The goal of the project is to develop novel methods for the joint analysis of signals from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), when they are obtained concurrently. Technological advances of the last 10 years make it possible for scientists to record both modalities concurrently, in what is now known as coupled EEG-fMRI. By simultaneously recording these two modalities, scientists can potentially say where and when neural activity is occurring, whereas previously researchers had to settle for one or the other. This engineering feat, however, has not yet been met with the ability to make use of the combination of these signals to infer more knowledge than would otherwise be gathered in separate experiments. Filling this gap is the ambition of the present project. This is a method project, which requires skills and knowledge in neuroscience, applied mathematics/statistics/physics and programming. Candidates who have a strong background in at least two of these three fields are encouraged to apply, if they are enthusiastic about the third. Two full studentships are available, and we expect to appoint one candidate who is stronger in empirical work and a second who is stronger in analytics. Candidates are expected to have had some prior exposure to at least one of the two modalities, but will receive training in both. The two students will be supervised by Dr. Etienne Roesch and receive support from Dr. Michael Lindner and Prof. Tom Johnstone, with R&D support from Brain Products, one of the world’s leading manufacturers of MRI-compatible EEG systems. The group led by Dr. Roesch fosters interdisciplinary thinking, and students will have the opportunity to engage in ongoing empirical and modelling work related to perception and action. The Centre for Integrative Neuroscience and Neurodynamics (CINN) is host to a research-dedicated 3T Siemens TRIO, with a full license for sequence development, and a full suite of MR-compatible systems. Additionally, the students will be granted access to the cluster of NVIDIA Tesla GPUs and other facilities at CINN, as well as at the Brain Embodiments Laboratory, in the School of Systems Engineering. The University of Reading is ranked as one of the UK’s 20 most research-intensive universities and as one of the top 200 universities in the world (Times Higher Education 2013). Our campus was voted first in the Times Higher Education Student Experience survey and has a Green Flag Award. It is situated 25 minutes West of London. Reading University Students’ Union was voted the 6th best in the UK (National Student Survey 2012). Essentials: Commitment to academic research and personal development; Ability to work collaboratively; Effective interpersonal and communication skills, including writing to a high standard, document preparation for technical notes and journal papers; Experience of work in interdisciplinary settings; Attention to details. Desirables: Self-guided work in developing statistical designs and approaches in research; Creative approach to problem solving; Ability to work independently; Experience in giving presentations and conveying complex ideas clearly. Eligibility: Applicants should hold a minimum of a UK Honours Degree at 2:1 level or equivalent in a relevant subject. Please note that due to restrictions on the funding this studentship is for UK/EU applicants only. Funding Details: Studentship will cover Home/EU Fees, pay the Research Council minimum stipend (£13,863 in 2014/15) for up to 3 years and include funding for international conferences. How to apply: To apply for this studentship please submit an application for a PhD in Cybernetics (full time) to the University – see http://www.reading.ac.uk/Study/apply/pg-applicationform.aspx . In the section ‘Research proposal’, please upload or copy-paste your covering letter. When prompted as part of your online application, you should provide details of the funding you are applying for, quoting the reference GS14-68. Once you have submitted your application, you should receive an email to confirm receipt of your online application. Please forward this email, along with your covering letter and CV (as pdf), to Dr. Etienne B. Roesch, e.b.roesch(a)reading.ac.uk, by the application deadline. Application Deadline: Monday 14th July 2014 (interviews in August) Further Enquiries: Please contact Dr. Etienne B. Roesch, e.b.roesch(a)reading.ac.uk. ––– Dr. Etienne B. Roesch Lecturer (Assistant Professor) in Cognitive Science University of Reading, UK http://doodle.com/MeetWithEtienne Too brief of an email? Here's why! http://emailcharter.org

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Fwd: Postdoctoral fellowship on multimodal neuroimaging at Duke-NUS Graduate Medical School, National University of Singapore
by Gary Green 07 Jun '14

07 Jun '14

Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory, Center for Cognitive Neuroscience at Duke-NUS Graduate Medical School, National University of Singapore is looking for postdoctoral fellow in cognitive neuroscience and/or multimodal neuroimaging. Our groupstudies the human neural bases of social-emotion, cognition, and memory functions and the associated vulnerability patterns in neuropsychiatric disorders, including neurodegenerative diseases (focusing on AD, FTD and preclinical stages) and Schizophrenia. Multimodal neuroimaging and psychophysical techniques are employed, including magnetic resonance imaging (MRI), functional MRI, diffusion tensor imaging, and electroencephalography (EEG). We are interested in examining the network-level structural and functional brain connectivity to shed light on the neurobiological mechanism of disease, paving the way for early detection and intervention. Candidates must have a passionate enthusiasm for research, a strong background in one of the following fields: cognitive neuroscience, neuropsychiatric disorders, neuroimaging analyses, mathematics/statistics/machine learning or related-fields. He/She should also possess the ability to take the initiative, work independently and be motivated to work in a highly collaborative and international research environment, and be able to demonstrate creativity, technical independence and excellent communication skills. Strong interest in studying social-emotion/cognition/memory functions and/or applications of multimodal neuroimaging in neuropsychiatric disorders is preferred. Proven skills in fMRI/EEG/DTI data analyses is a plus but not necessary. Key attractions are access to a 3T Tim Trio MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. The position will be two years with possible extension. Competitive package will be provided based on experience. Interested applicants are welcome to email Assistant Prof. Helen Juan Zhou at _helen.zhou(a)duke-nus.edu.sg <mailto:helen.zhou@duke-nus.edu.sg>_with application letter, curriculum vitae, three references, and contact information. Website: _https://sites.google.com/site/mneuroimaginglab/_; http://www.duke-nus.edu.sg/content/zhou-juan-helen

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Fwd: ECML Connectomics paper submission: June 20, 2014
by Gary Green 05 Jun '14

05 Jun '14

*ECML Workshop - “Neural Connectomics: From Imaging to Connectivity” September 15, 2014 - Nancy, France* *Paper submission deadline: June 20, 2014* Description: Understanding the brain structure and some of its alterations caused by disease, is key to accompany research on the treatment of epilepsy and Alzheimer’s disease and other neuropathologies, as well as gaining understanding of the general functioning of the brain and its learning capabilities. At the neural level, recovering the exact wiring of the brain (connectome) including nearly 100 billion neurons, having on average 7000 synaptic connections to other neurons, is a daunting task. The goal of this workshop is to bring together researchers in machine learning and neuroscience to discuss progress and remaining challenges in this exciting and rapidly evolving field. We aim to attract machine learning and computer vision specialists interested in learning about a new problem, as well as computational neuroscientists who may be interested in modeling connectivity data. We will discuss also the results of the First ChaLearn Neural Connectomics Challenge. Topics of interest to the workshop include, but are not limited to: •building connectomes from EM data •building connectomes from fMRI data •building connectomes from neurophysiology data •bridging neuroanatomy and neurophysiology •connectomics and learning •neuroimaging technology advances •network reconstruction algorithms •causality in time series •feature selection vs. causal discovery •generative vs. discriminative modeling •sharing data •sharing code •organizing new challenges •establishing ground truth, benchmarking •quantitative metrics of evaluation •theoretical understanding Important dates: oPaper submission: June 20, 2014 oNotification of acceptance: July 05, 2014 oCamera-ready: July 25, 2014 oECML Workshop: September 15, 2014 Important - Submission Guidelines: We encourage contributions in any of these areas. We welcome 2-page short-form submissions and 6-page long-form submissions. Submissions should be formatted using JMLR Workshop and Proceedings format, style files for which are available at: http://www.tex.ac.uk/tex-archive/help/Catalogue/entries/jmlr.html. We also encourage submissions of previously-published material that is closely related to the workshop topic (for presentation only). Everybody can attend the workshop even if he does not participate in the challenge (http://connectomics.chalearn.org/). Challenge participants are encouraged to contribute a paper on their results and also submit papers for presentation on the topics of the workshop. The papers have to be submitted via Easy Chair: https://www.easychair.org/conferences/?conf=ncw2014

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Fwd: Lectureship (Assistant Professor) Position at Reading
by Gary Green 05 Jun '14

05 Jun '14

Please let me bring to your attention the Lectureship Position available in Reading described below. I will be at the Human Brain Mapping Conference next week - please email me if you'd like to arrange an informal chat about the position. Tom Johnstone Professor of Cognitive Neuroscience Job Ref: LE14020 *Application Deadline: 30th June 2014* Salary: £31,301 to £58,231 per annum Hours: Full Time Contract: Permanent The Department of Psychology at the University of Reading is seeking to appoint an outstanding lecturer (UK equiv. to Assistant Professor) to further strengthen the Department's academic profile and to support its ambitious expansion plans. The School hosts the Centre for Integrative Neuroscience and Neurodynamics (CINN) brain imaging facility, with research dedicated MRI, EEG, TMS and eye-tracking systems. The School also houses an NHS child and adolescent mental health clinic and a recently opened NHS clinic for research and treatment of dementia. Applications are welcomed from researchers that build on existing strengths, with preference given to clinical psychology/neuroscience. You will have high quality publications and the talent and aptitude to succeed in an interdisciplinary and highly collegiate environment. Evidence of writing and gaining external grant awards is an advantage. Start up costs and dedicated access to facilities such as the MRI scanner are by negotiation. You will have: - A doctorate in Psychology or a closely related area - The ability to undertake original research, with a strong recent publication track record - The ability to teach at undergraduate and postgraduate levels in at least one core area of psychology - A commitment to excellence in teaching and research at all levels - An ability to work well with students and colleagues, and be respectful and considerate of the skills of others Informal contact details Contact role: Head of School Contact name: Laurie Butler Contact phone: +44 (0)118 378 7543 Contact email: l.t.butler(a)reading.ac.uk Alternative informal contact details Contact role: Head of Department Contact name: Patricia Riddell Contact phone: +44 (0)118 378 6699 Contact email: p.m.riddell(a)reading.ac.uk To formally apply please visit www.reading.ac.uk/Jobs or contact Human Resources, University of Reading, Whiteknights, PO Box 217, Reading RG6 6AH. Telephone +44(0)118 378 6771 (voicemail) Please quote the relevant reference number. We value a diverse workforce and welcome applications from all sections of the community.

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Fwd: Open Position Doctoral student/scientific assistant Ulm
by Gary Green 05 Jun '14

05 Jun '14

A part-time position as a doctoral student or scientific assistant is available at the Department of Psychiatry and Psychotherapy III of the University of Ulm in the field of genetic imaging (3 years). The focus is on the genetics of perfusion imaging and imaging endophenotypes of affective disorders. Candidates will be considered until the position is filled. The successful candidate will work in a team forming an international consortium including the BfArM (the German FDA) and the DZNE in Bonn, and partners in Sweden and Canada, funded by the NEURON-Eranet agency. The Department of Psychiatry and Psychotherapy III hosts a cognitive-behavioural Training Institute on its premises. This opening might be of interest to a young psychologist with some experience of neuroimaging and wishing to initiate clinical training in the German system, since there are excellent opportunities to combine the two activities. I will be in Hamburg at the Human Brain Mapping conference, and interested candidates are very welcome to contact me for an informal chat. Roberto Viviani, PhD Assistant Professor of Clinical Psychology

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Reminder MEG/EEG meeting today
by Markus van Ackeren 05 Jun '14

05 Jun '14

Dear all, Just a reminder about the MEG/EEG meeting today. Andrew Quinn will talk about: 'State Dynamics In Endogenous Brain Networks'. The meeting will take place at 12pm in B204. Best, Markus -- Markus J. van Ackeren PhD Student Department of Psychology University of York YO10 5DD, UK Email: mjva500(a)york.ac.uk

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