March 2016 - Comp-neuro - lists.cnsorg.org

PhD studentship in computational/cognitive neuroscience
by Ulrik Beierholm March 17, 2016

March 17, 2016

We have a PhD studentship available with full funding (tuition + stipend) for a project doing computational modeling of human perception, using parametric and non-parametric Bayesian statistical inference methods (PI Dr. Ulrik Beierholm). The funding is only available for EU citizens (sorry!), with starting date October 2016. The studentship will be in the Department of Psychology at Durham University, UK, but with potential for interactions with colleagues in Computer Science, Economics etc. The applicant should have a Master's degree (or similar) in a related topic (neuroscience, psychology, computer science, statistics etc.) with a minimum of a UK upper second (2:1) or an average grade of B for international students. The applicant should also have some programming experience (preferably Matlab or Python), but while the project will involve some experimental work (mainly psychophysics) the applicant does not need any previous experimental experience. The Department offers an exciting and friendly multidisciplinary research environment. The department has excellent technical facilities, including a 3T MRI scanner, EEG labs, laboratories for brain stimulation (TMS, tdCS), motion analysis systems (Vicon, Optitrack), Psychophysiological Research (Biopac), and behavioural experiments, including multiple eye trackers and an acoustically controlled testing chamber. There is also access to the Durham HPC cluster (Hamilton) for numerical simulations. Durham is a beautiful city in the Northeast of England, home to Durham Cathedral, which is part of UNESCO Durham World Heritage Site. Durham University is consistently ranked among the top 100 Universities worldwide (QS World Rankings 2014). If interested email the PI (ulrik.beierholm(a)durham.ac.uk) with any questions. Applications are made through: https://www.dur.ac.uk/psychology/postgraduate/how_to_apply/ Further information about doing a PhD at Durham can be found here: https://www.dur.ac.uk/psychology/postgraduate/phd/ Applications will be processed as they arrive, but we expect to reach a decision before end of April. ------------------------------------------- Ulrik Beierholm, PhD Lecturer in Computational Neuroscience School of Psychology, University of Birmingham http://beierholm.net

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REMINDER: Call for Workshops - Bernstein Conference 2016, extended deadline
by Margret Franke March 17, 2016

March 17, 2016

The Bernstein Network Computational Neuroscience and the Bernstein Center Berlin invite proposals for Satellite Workshops directly preceding the Bernstein Conference 2016 in Berlin. ********************************************************************************** Call for Workshop proposals: Workshops: September 20-21, 2016 Main Bernstein Conference: September 21-23, 2016 Deadline for proposal submission: April 3, 2016 Notification of acceptance: April 22, 2016 Conference Registration starts: May 2, 2016 Early Registration Deadline: July 24, 2016 ********************************************************************************** The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. Since 2013, the Bernstein Conference hosts pre-conference workshops, which have developed swiftly into a well-attended event. They supply a stage to debate topical research questions and challenges in Computational Neuroscience and related fields, different points of view and scientific approaches in an informal setting. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged, and formats are expected that foster debate beyond a mere series of talks. SCHEDULE: September 20, 2016, 14:00 – 18:30. September 21, 2016, 9:00 – 12:30. You may apply for either half-day or full-day workshops. WORKSHOP COSTS: The Bernstein Conference does not provide financial support, but workshop organizers and speakers are offered free workshop registration. Organizers get a waiver for the main conference fee. For further information about the conference, please visit the conference website <http://www.bernstein-conference.de>. DETAILS FOR WORKSHOP PROPOSALS: The Workshop Proposal form can be downloaded here: <http://www.nncn.de/de/bernstein-conference/2016/satellite-workshops>. Deadline for submission of Workshop Proposals: March 18, 2016 CONTACT: <bc16_ws(at)bccn-berlin.de> We are looking forward to welcoming you in Berlin! The program committee ------------------------------- Michael Brecht Gustavo Deco Alain Destexhe Sophie Denève Udo Ernst Adrienne Fairhall Sonja Grün John-Dylan Haynes Andreas Herz Philipp Hövel Richard Kempter Klaus Obermayer Stefan Rotter Susanne Schreiber Henning Sprekeler -- Margret Franke Managing Director Bernstein Center for Computational Neuroscience Humboldt-Universität zu Berlin Unter den Linden 6 10099 Berlin phone: (030) 2093-9110 fax: (030) 2093-6771

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1 year postdoc on multisensory and haptic perception
by Marc Ernst March 17, 2016

March 17, 2016

--------------------------------------------------------------- 1 Year Postdoctoral Positions available --------------------------------------------------------------- --------------------------------------------------------------- In the Applied Cognitive Psychology Group headed by Marc Ernst Ulm University, Germany -------------------------------------------------------------- The Applied Cognitive Psychology Group, Ulm University, headed by Prof. Marc Ernst, is inviting applications for 1 year postdoctoral positions on human haptic perception, multisensory interactions and motor control. The positions are within the framework of the European Project "WearHap" (www.wearhap.eu <http://www.wearhap.eu/>), in which 11 renowned university labs from all over Europe with backgrounds in Neuroscience, Psychology, Engineering, and Computer Science work together on the scientific and technological foundations of wearable haptic systems for humans and robots. Our goal in this project is to understand and model the human haptic abilities and to transfer the acquired knowledge towards technical applications developed within this collaborative project. The positions will be embedded in a highly interdisciplinary and international research group lead by Prof. Marc Ernst. The focus of the department is on multisensory perception, perception and action, perceptual learning and human-computer interaction. For the experimental work the group is predominantly relying on behavioral methods from psychophysics and cognitive science. For this, there are many state-of-the-art virtual reality setups available, including different projection systems for visual stimulation, force feedback devices and tactile displays for work on the human haptic system, a noise attenuation camber with an audio setup for work on the auditory system and a treadmill setup including tacking for studies on human locomotion/navigation. For the quantitative modeling of human behavior the group heavily relies on statistical approaches, such as the Bayesian Framework to human perception and action. The successful candidates should fit in with these interests and should have a background in cognitive science, psychology, biology, computer science, engineering or some field related to cognitive psychology. Programming experience will be advantageous. The positions are initially immediately for 1 year until the end of the project. The aim however will be to secure further funding of this line of research in order to also extend this position beyond 1 year. Salary is according to German Public Service regulations. Applications will be considered until the positions are filled. The application should include a cover letter stating the candidates research interests, curriculum vita, reprints (if available), and names of up to three referees. Electronic submissions are preferred. Please send your application documents to the following e-mail address stating the ID: 2013-09-WEARHAP in the subject line: applications(a)marcernst.de <mailto:applications@marcernst.de> ------------------------------------------------ Prof. Dr. Marc O. Ernst Applied Cognitive Psychology Ulm University mail(a)marcernst.de <mailto:mail@marcernst.de>

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postdoc position: computational modeling of neurodegenerative disease (2nd call)
by Christina M. Weaver March 17, 2016

March 17, 2016

*** Second announcement – submit by March 24, 2016 for full consideration *** POSTDOCTORAL FELLOW in Computational Neuroscience Job Description The interdisciplinary research team of Drs Christina Weaver (Mathematics, Franklin & Marshall College, Lancaster PA) and Jennifer Luebke (Anatomy & Neurobiology, Boston University School of Medicine, Boston MA) is launching a project to explore structural and functional abnormalities of neurons in two different mouse models of Huntington’s Disease, and how these abnormalities might contribute to system-level dysfunction. Computational modeling of cortical and striatal neurons (both spatially extended compartmental models and point neuron models) will be conducted in tandem with empirical studies of these same neurons using in vitro slice electrophysiology and confocal laser scanning microscopy. The neuron models developed in this project will be incorporated into models of local microcircuits and larger cortico-striatal networks, likely in collaboration with other research teams, and will be used to inform future experiments. As part of this project, one postdoctoral position in computational neuroscience is available, starting in April 2016 or as soon as possible thereafter. Computational modeling of the empirically characterized neurons will use parameter optimization algorithms developed in the Weaver lab. For an overview of our interdisciplinary approach, see our joint publications including Luebke et al., *Cerebral Cortex* (2015), PMID 24323499 and Coskren et al., *J. Comput. Neuro*. (2015), PMID 25527184. The Weaver lab will have close, ongoing collaborations with the Luebke lab, including several visits to Boston where the empirical studies will take place. Initial appointment is for one year, and may be extended to a total of three years. The candidate will be hired by Franklin & Marshall College, though a remote employment arrangement may be possible. Applicants should have a strong background in computational neuroscience, and have a keen interest in interdisciplinary approaches to neuroscience that integrate modeling, imaging, and physiological experiments. Review of applications will begin immediately, and will continue until the position is filled. Interested applicants should send their CV, a brief statement of current and future research interests, and the contact information of three references to christina.weaver(a)fandm.edu. Required Skills Ph.D. or equivalent in computational neuroscience or a related field from an accredited institution Excellent written and verbal communication skills Experience with NEURON compartmental modeling software, conductance-based modeling of single neurons, and/or automated parameter optimization is preferred. Franklin & Marshall College is committed to having an inclusive campus community where all members are treated with dignity and respect. As an Equal Opportunity Employer, the College does not discriminate in its hiring or employment practices on the basis of gender, sex, race, ethnicity, color, national origin, religion, age, disability, family or marital status, sexual orientation, or any protected characteristic. Christina M. Weaver, Ph.D. Associate Professor of Mathematics Department of Mathematics and Computer Science Franklin & Marshall College P.O. Box 3003 Lancaster, PA 17604-3003 Phone: (717) 291-3872 Fax: (717) 358-4507 Email: christina.weaver(a)fandm.edu

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PhD position at LMU Munich, Germany
by Stefan Glasauer March 16, 2016

March 16, 2016

We are looking for a PhD student with a strong interest in human movement sciences and motor learning. How is sensorimotor adaptation acquired and forgotten? Scientific background: Human movement control is highly efficient at minimizing sensorimotor errors and is forced to adjust its strategies to slow changes of a large variety of factors. The motor system is subject to growth, aging, or muscle weakness; the external mechanical environment may change its resistance against the movement; and the sensory system, providing the most important information to estimate the actual and desired state of the ensemble of body and environment, is also subject to systematic changes. Sensorimotor adaptation is often defined as the gradual change of the generated motor commands in response to such systematic changes, but it has been recently recognized that sensorimotor adaptation does not only involve the acquisition of gradual changes in stimulus-response mechanisms, but also different types of meta-learning reflected in 1) gradual changes in the processing of sensorimotor errors driving the adaptation (error sensitivity) and in 2) adjustments of the stability (retention) of the acquired adaptive change. Current project and methods: The current project will investigate dynamics of error sensitivity and retention across repeated sequences of sensorimotor adaptation and deadaptation. Of special interest is the dependence of error sensitivity and retention on error size and consistency. Adaptation experiments will be performed in reaching movements under distorted visual feedback of the hand and in saccadic eye movements to targets displaced during the movement. The data acquisition and analysis is centered on movement trajectories recorded in humans. Candidates should have a strong interest in motor control and learning mechanisms. Skills in mathematical analysis of dynamic systems and computer programming are desirable. The project involves cooperation with laboratories in Toronto (CA) and Seattle (USA). Contact: Dr. Ing. Thomas Eggert e-mail: eggert at lrz.uni-muenchen.de Department of Neurology, Ludwig-Maximilians University Munich, Germany Literature: Straube, A., Deubel, H., Ditterich, J., & Eggert, T. (2001). Cerebellar lesions impair rapid saccade amplitude adaptation. Neurology, 57 (11), 2105-2108. Krüger M, Borbely B, Eggert T, Straube A (2012) Synergistic control of joint angle variability: influence of target shape. Hum Mov Sci 31:1071-1089 doi: 10.1016/j.humov.2011.12.002 Borbély BJ, Straube A, Eggert T (2014) Motor synergies during manual tracking differ between familiar and unfamiliar trajectories. Experimental Brain Research 232:889-901 Henriques, D.Y., Filippopulos, F., Straube, A., & Eggert, T. (2014). The cerebellum is not necessary for visually driven recalibration of hand proprioception. Neuropsychologia, 64C, 195-204.

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Computational Neuroscience and Cognitive Robotics MSc
by Dietmar Heinke March 16, 2016

March 16, 2016

We invite applications for our MSc program in Computational Neuroscience and Cognitive Robotics at the University of Birmingham, United Kingdom. The CNCR MSc course is highly interdisciplinary encompassing psychology, cognitive science, neuroscience, computational modelling, neuroimaging, robotics, and patient rehabilitation. The course is designed for those who are interested in applying knowledge of neural systems, brain function, and modelling to research in human cognition, perception, sensory and motor systems as well as the design of bio-inspired and biologically plausible robotic systems. It has a strong research focus with hands-on modules and practical applications. The course is aimed both at students from psychology/neuroscience with a strong quantitative background and at students from computer science and physics who want to apply their knowledge to psychology/neuroscience. The course is organised jointly through the Schools of Psychology and Computer Science. Details about the MSc can be found on this web-page: http://www.birmingham.ac.uk/postgraduate/courses/taught/psych/computation-n… Further enquires can be made via email: pg-psychology-admissions(a)contacts.bham.ac.uk<mailto:pg-psychology-admissions@contacts.bham.ac.uk> Application deadline: 30.June. Applications made after this deadline may be considered.

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3 PhD studentships in London
by Alonso, Eduardo March 16, 2016

March 16, 2016

Dear all, City University London is offering 3 fully-funded PhD studentships. Doctoral studentships will provide, for 3 years, an annual bursary of £16,000. They also include full tuition fees. The main focus is the development of computational models of learning and behaviour, with a particular interest in the application of Deep Learning architectures and algorithms. In addition, we want to explore how the resulting models could inform research in learning impairments associated with neurodevelopment disorders. Submission deadline is the 26th of May, with successful applicants starting in Oct 2016. If you are interested, please contact me. Dr Eduardo Alonso Reader in Computing Deputy Head of Department Department of Computer Science School of Mathematics, Computer Science and Engineering City University London London EC1V 0HB United Kingdom T: +44 (0)20 7040 4049 E: E.Alonso(a)city.ac.uk http://www.city.ac.uk/people/academics/eduardo-alonso

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A funding opportunity for Assistive Technology for ALS patients
by Neta Zach March 15, 2016

March 15, 2016

The ALS Association and Prize4Life's are happy to anounce the launch of a new program to promote ALS technology development- *the ALS Assistive Technology Challenge* <http://www.alsa.org/research/als-assistive-technology-challenge-2.html>*- *a program focused around accelerating the development of communication technologies for locked in patients with development funds of over $500,000. *In the challenge, open until July 29, teams can participate in a $400,000 challenge to develop a prototype that will enable communication for ALS patients. The top finalists will be invited to present their prototype in December 2016 in Dublin where the award winner will be selected. *You can read about it more *here <http://www.prnewswire.com/news-releases/the-als-association-and-prize4life-…>.*

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Faculty Position in Neural Data and Imaging Sciences, Sabanci Univ., Istanbul
by Mujdat Cetin March 15, 2016

March 15, 2016

*Faculty Position in Neural Data and Imaging Sciences at Sabancı University* http://ee.sabanciuniv.edu/en/full-time-faculty-position-neural-data-and-ima… The Faculty of Engineering and Natural Sciences (FENS) at Sabancı University, İstanbul, Turkey invites applications for a full-time faculty position in the area of Neural Data and Imaging Sciences with a targeted start date of Fall 2016. The ideal candidate for this position would have a Ph.D. degree in electrical engineering, computer science, biomedical engineering, computational neuroscience, or a related field, as well as a strong research and publication record in the area of information extraction from challenging neural data. Particular research areas of interest include but are not limited to neuroinformatics, big neural sensor data analytics, biomedical imaging, brain informatics, signal processing of neural activity, computational neuroimaging, neural image analysis, machine learning for understanding the brain, and connectomics. Sensing/imaging modalities of interest include but are not necessarily limited to MRI, fMRI, DTI, PET, EEG, MEG, ECoG, and several forms of microscopy. Application areas of interest include, but are not limited to healthcare, neurotechnology, brain-computer interfaces, neurorehabilitation, and neurorobotics. The faculty member will have a primary affiliation with the Electronics Engineering program but will be expected to conduct collaborative research with other programs in FENS as well. Applications from candidates at all ranks are encouraged. For candidates at the Assistant Professor level, post-doctoral research experience is a plus. Successful candidates are expected to develop externally-funded internationally-recognized research programs; teach undergraduate and graduate courses; advise and mentor graduate and undergraduate students; and undertake service responsibilities. Successful candidates will have the opportunity to benefit from the state-of-the-art infrastructure of the brand-new Nanotechnology Research and Application Center (SUNUM), as well as to be involved in the Professional Master’s Program in Data Analytics. Sabancı University, a privately funded premier academic institution, established in 1996 in its state-of-the-art campus located in suburban İstanbul. The university offers 13 undergraduate programs and 38 graduate programs in three faculties (Faculty of Engineering and Natural Sciences, Faculty of Arts and Social Sciences, School of Management). The University aims to establish a high standard of academic excellence and a research-oriented atmosphere for its international faculty and students, while nurturing productive relationships particularly with the industries in the region which constitute the industrial heartland of Turkey. The medium of instruction is English. In 2015, Sabancı University ranked 13th globally in the Times Higher Education (THE) ranking of the top 100 universities under 50 years old, and 21st in the THE Asia university rankings. In the recently announced THE ranking of the world’s best small universities in 2016, Sabancı University ranked 10th globally. It ranked first among all universities in Turkey in the University Entrepreneurship and Innovation Index of the Ministry of Science, Industry, and Technology in 2015. Detailed information about the Electronics Engineering Program at Sabancı University can be found at http://ee.sabanciuniv.edu/ Applicants should submit their applications online through https://crm.sabanciuniv.edu/acadcv/application.php and provide a cover letter, curriculum vitae, statement of research interests, statement of teaching interests, and at least three professional references. Review of applications will begin on May 1, 2016 and will continue until the position is filled. -- Mujdat Cetin Technical Program Co-chair, IVMSP 2016 -- http://ivmsp2016.org Technical Co-chair, FUSION 2016 -- http://fusion2016.org Faculty Member Faculty of Engineering and Natural Sciences Sabanci University Orhanli, Tuzla 34956, Istanbul, Turkey Phone : +90 (216) 483-9594 Fax : +90 (216) 483-9550 E-mail : mcetin(a)sabanciuniv.edu Web : http://spis.sabanciuniv.edu

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Fully funded postdoctoral position in Machine Learning and Computational Biology at Royal Holloway University of London
by Alberto Paccanaro March 15, 2016

March 15, 2016

[Apologies for cross-posting] Application deadline: 10th April 2016 ==================================================== Applications are invited for a postdoctoral position at the Department of Computer Science of Royal Holloway, University of London. The successful candidate will work with Prof Alberto Paccanaro on different projects in the area of Systems Biology and Network Medicine -- please see http://www.paccanarolab.org/ for a description of the research carried out in the lab. Candidates should have a PhD degree in a relevant quantitative field (e.g. Computer Science, Statistics, Engineering), a strong background in machine learning and a keen interest in computational biology. Previous experience in the area of graphical models would be an asset for this position. The successful candidate will have the opportunity to collaborate with members of the interdisciplinary Centre for Systems and Synthetic Biology (Computer Science and Biological Sciences) at Royal Holloway and collaborators at Imperial College, University of Tennessee and Yale University. The post is therefore ideal for someone with a computer science or maths background who is looking to move into computational biology. This post is based in the Department of Computer Science in Egham, Surrey where the College is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London (see http://www.royalholloway.ac.uk/) This is a full time post, available immediately, or as soon as possible thereafter for a fixed term period of 30 months. The salary is in the range £33,789 to £39,902 per annum inclusive of London Allowance. The position is funded by a joint BBSRC/NSF grant. To apply go to: https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0316-094 For an informal discussion about the post, please contact Prof Alberto Paccanaro, alberto(a)cs.rhul.ac.uk. The Human Resources Department can be contacted with queries by email at: recruitment(a)rhul.ac.uk. Please quote the reference: 0316-094. Closing Date: Midnight, 10th April 2016. Interview Date: To be confirmed. The College is committed to equality and diversity, and encourages applications from all sections of the community. -- ===================================== Prof. Alberto Paccanaro Department of Computer Science Royal Holloway, University of London Phone: +44 1784 414239 Homepage: http://www.cs.rhul.ac.uk/home/alberto/ Lab page: http://www.paccanarolab.org

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