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2016 NEURON Summer Course

by Ted Carnevale

This year the NEURON Summer Course will be held at the HHMI|Janelia Research Campus in Ashburn, Virginia. Only a few seats remain open, so you'll have to act quickly if you are interested in taking "NEURON Fundamentals" or "Parallel Simulation with NEURON." The NEURON Fundamentals component, which runs from June 20-24, is suitable for individuals at all levels of expertise. It presents a thorough introduction to computational modeling of neurons and networks of neurons with NEURON, and introduces parallel simulation. Parallel Simulation with NEURON runs from June 25-27 and focuses on the needs of experienced NEURON users who want to create models that will run on parallel hardware. Knowledge of how to write hoc or Python code for NEURON is presumed. You may apply for one or both components, but registration is subject to approval by the course's faculty. Space is limited, and applications are considered in the order received. The application deadline is Friday, May 20, 2016. No applications will be accepted after that date, and there will be no on-site registration. For more information and the on-line application form, see http://www.neuron.yale.edu/neuron/static/courses/summer2016/summer2016.html --Ted

March 21, 2016

PhD studentship, biomedical imaging

by Adam Liska

The Functional Neuroimaging lab at the Istituto Italiano di Tecnologia (https://goo.gl/ArIFrd) Rovereto (Italy), invites applications for a PhD scholarship to investigate the dynamics of macroscale functional connectivity in transgenic mouse models of brain pathology. The lab is equipped with a state-of–the-art 7 Tesla MRI scanner for preclinical research, and is devoted to the use of advanced functional Magnetic Resonance Imaging (fMRI) methods in rodent models to understand how large scale functional activity and network dynamics originate, develop and govern behavioural states. The successful candidate will have a MSc in Neuroscience, Biotechnology Computer Science, physics, or equivalent. Proficiency in computer programming (Matlab) and biomedical image analysis is recommended. This three-year studentship aims to provide the student with a thorough training in conducting research at the interface of biomedical imaging, computational image analysis, and experimental neuroscience. The studentship is part of the international doctoral school in cognitive and brain sciences, in partnership with the University of Trento (http://web.unitn.it/en/cimec/) Final admission to the doctoral school entails a competitive selection process, as per the school regulations (http://web.unitn.it/en/drcimec) The Istituto Italiano di Tecnologia (IIT) is a private law Foundation, created with the objective of promoting Italy's technological development and higher education in science and technology. Research at IIT is interdisciplinary and addresses basic and applied science through the development of novel technical applications. The Functional Neuroimaging lab is located a the Center for Neuroscience and Cognitive Sciences (CNCS) @UNITN in Rovereto, Italy (http://cncs.iit.it/) one of the research nodes set up by IIT. The CNCS is an interdisciplinary research center dedicated to the investigation of the brain at multiple scales. Please send your application (full CV, two academic referees, copy of master degree thesis, statement of research interest) by email to alessandro.gozzi(a)iit.it no later than May 10th, 2016. Alessandro Gozzi, PhD Senior Scientist, Group Leader Functional Neuroimaging Laboratory Istituto Italiano di Tecnologia Center for Neuroscience and Cognitive Systems @ UNITN Corso Bettini 31, 38068 Rovereto, Italy Tel: +39 0464 808 701 alessandro.gozzi(a)iit.it

March 21, 2016

Postdoc position at LMU Munich

by Stefan Glasauer

Post-doctoral position in Computational Neuroscience Applications are invited for a postdoctoral position in Computational Neuroscience at the Center for Sensorimotor Research at the Ludwig-Maximilian University (LMU) Munich (Germany) in association with the Bernstein Center for Computational Neuroscience (BCCN). Project: US-German Collaborative Research Proposal "Information Processing in Cerebral Cortex for Visual-Oculuomotor Behavior" The project will be performed in close collaboration with the Washington National Primate Research Center (University of Washington, Seattle, US). The successful candidate's task is to perform data analysis and computational modeling of neuronal data acquired in Seattle. A strong background in mathematics and neuroscience as well as a strong interest in Computational Neuroscience is required. The position is limited to three years. Please submit your application preferably in one single PDF-document, including cover letter, CV, list of publications, research proposal/interests and relevant certificates to sglasauer(a)lmu.de The LMU is an equal opportunity employer. For further information please contact: Prof. Dr. Stefan Glasauer Ludwig-Maximilians University Munich Center for Sensorimotor Research Feodor-Lynen-Str. 19, D-81377 Munich, Germany sglasauer(a)lmu.de http://www.bccn-munich.de/people/stefan-glasauer

March 18, 2016

job opening

by Tasos_UPatras

Dear colleagues (with advance apologies for any cross-postings), Please find below a job opening in Cognitive Engineering lab of Singapore Institute for Neurotechnology (SINAPSE) (http://www.sinapseinstitute.org <http://www.sinapseinstitute.org/>) Research Assistant (RA) (Application oriented in Video Game Development) The Singapore Institute For Neurotechnology (SINAPSE) at the National University of Singapore is looking to hire a motivated individual for Research Assistant position for a period of 1 year. The successful candidates will be involved in a project aiming to develop Virtual reality (VR)-based brain augmentation systems including realistic simulations and real-time brain states analysis. Specifically the RA will develop applications, using Unity programming language, in high-definition head-mounted 3-D Virtual Reality (VR) system (Oculus Rift 2) to provide various stimuli. A remote EEG system will be used to monitor the brain activity in real time. Applicants should have either a degree in Computer Sciences and/or working experience in video game developing industry. Candidates with experience in VR game development (both Oculus Rift and room-size VR) and experience with Unity3D game engineering, and proficiency in C++ or Javascript (middleVR preferred) will be preferred. Remuneration will be commensurate with qualifications and experience. Interested applicants should submit their curriculum vitae to Prof. Anastasios (Tassos) Bezerianos (lsiba(a)nus.edu.sg) Applications will be open until 30 April 2016, or sooner if the position is filled. Best Regards Tassos prof. Anastasios (Tasos) Bezerianos, BS,MS,PhD

March 18, 2016

Job opening

by Tasos_UPatras

Dear colleagues (with advance apologies for any cross-postings), Please find below a job opening in Cognitive Engineering lab (http://sinapseinstitute.org/projects/cognitiveengr/ <http://sinapseinstitute.org/projects/cognitiveengr/>) of Singapore Institute for Neurotechnology (SINAPSE) . Research Assistant/Engineer Position (Science/Engineering oriented for EEG studies) The Singapore Institute for Neurotechnology (SINAPSE) at the National University of Singapore is looking to hire a motivated individual for Research Assistant/Engineer position for a period of 1 year. The successful candidates will be involved in experiments focused on (1) mental fatigue, (2) mental work load and (3) interventions for brain enhancement. Specifically the RA will be mainly responsible for conducting experiments for recording EEG in laboratory conditions and in Augmented / Virtual Reality Environment. Applicants should have honors degree in Engineering or Physics or Master degree in Biomedical Engineering and/or experience in conducting EEG experiments in the field. The ideal candidate(s) should have a strong background in statistics, and should be able to work independently on tasks such as literature review, subject recruitment, data collection and data management. Ability to program in MATLAB would also be advantageous. Remuneration will be commensurate with qualifications and experience. Interested applicants should submit their curriculum vitae to Prof. Anastasios (Tassos) Bezerianos (lsiba(a)nus.edu.sg <mailto:lsiba@nus.edu.sg>). The positions will be open until 30 April 2016 or sooner if the position is filled. Best Regards Tassos prof. Anastasios (Tasos) Bezerianos, BS,MS,PhD

March 18, 2016

Postdoctoral position in visual neurophysiology

by Adam Kohn

Postdoctoral position in visual neurophysiology Albert Einstein College of Medicine, New York NY A postdoctoral position is available in the Kohn lab, at the Albert Einstein College of Medicine in New York City. Our lab studies visual processing, cortical plasticity, population coding, perceptual decision making, and corticocortical communication and circuitry. Our experiments involve multielectrode recordings from the visual system of anesthetized and awake, behaving non-human primates. We complement neurophysiological recordings with human perceptual experiments, computational modeling, and optogenetic manipulations. We have robust collaborations with several computational and theoretical neuroscience groups, developing new methods for understanding population codes and corticocortical communication. Einstein offers a vibrant, supportive community of researchers. It is located in a quiet neighborhood of New York, only a short subway ride from Manhattan. The New York City area offers numerous opportunities to interact with experts in a wide variety of neuroscience topics. Experience in neurophysiology, programming, quantitative methods, or behavioral training are desired. Inquires about the position and applications (CV and names and contact information for references) should be sent to adam.kohn(a)einstein.yu.edu<mailto:adam.kohn@einstein.yu.edu>. The position will remain open until filled. Albert Einstein College of Medicine, Inc. is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans.

March 17, 2016

PhD studentship in computational/cognitive neuroscience

by Ulrik Beierholm

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

March 17, 2016

REMINDER: Call for Workshops - Bernstein Conference 2016, extended deadline

by Margret Franke

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

March 17, 2016

1 year postdoc on multisensory and haptic perception

by Marc Ernst

--------------------------------------------------------------- 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>

March 17, 2016

postdoc position: computational modeling of neurodegenerative disease (2nd call)

by Christina M. Weaver

*** 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

March 17, 2016

PhD position at LMU Munich, Germany

by Stefan Glasauer

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.

March 16, 2016

Computational Neuroscience and Cognitive Robotics MSc

by Dietmar Heinke

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.

March 16, 2016

3 PhD studentships in London

by Alonso, Eduardo

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

March 16, 2016

A funding opportunity for Assistive Technology for ALS patients

by Neta Zach

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-…>.*

March 15, 2016

Faculty Position in Neural Data and Imaging Sciences, Sabanci Univ., Istanbul

by Mujdat Cetin

*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

March 15, 2016

Fully funded postdoctoral position in Machine Learning and Computational Biology at Royal Holloway University of London

by Alberto Paccanaro

[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

March 15, 2016

ICLR 2016 Registration Open

by Hugo Larochelle

4th International Conference on Learning Representations (ICLR 2016) Website: http://www.iclr.cc/ Location: Caribe Hilton, San Juan, Puerto Rico, May 2-4, 2016 Registration to ICLR 2016 is now open: http://www.iclr.cc/doku.php?id=iclr2016:registration The lower early registration fees and hotel rates are available until April 1st. For more information on ICLR 2016, please visit http://www.iclr.cc/doku.php?id=iclr2016:main. We look forward to seeing you in Puerto Rico! Yoshua Bengio, Université de Montreal, General Chair Yann LeCun, New York University and Facebook, General Chair Hugo Larochelle, Twitter and Université de Sherbrooke, Senior Program Chair Brian Kingsbury, IBM Watson Group, Program Chair Samy Bengio, Google, Program Chair

March 15, 2016

Funded vision science PhD opportunities at Royal Holloway, University of London

by Durant, Szonya

Please see opportunities below to work with me (Szonya Durant) as supervisor and Angelika Lingnau or Jonas Larsson in the Department of Psychology at Royal Holloway, University of London. There are two main proposed areas: Investigating the neural representation of action recognition categories What are the neural sources and function of expectation signals in human visual processing? Both projects involve EEG and fMRI methods, but experience is not essential and training will be provided as part of the PhD. Please email szonya.durant(a)rhul.ac.uk<mailto:szonya.durant@rhul.ac.uk> for more detail on these projects and the application process. Strong students from Psychology/Neuroscience/Cognitive Science/Computer Science/Biological Science/Physics/Mathematics are encouraged to apply. Suitable candidates (in collaboration with the supervisor) will need to develop a PhD proposal, which the department will use to evaluate applications - the department deadline for proposals is the 15th of April (so please get in touch asap). There are 4 paid studentships available in the department for UK and EU students. ********************************************************************** Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

March 15, 2016

A new julia package for modelling spiking neural network

by Yao Lu

SpikingNetworks.jl <https://github.com/YaoLuCNS/SpikingNetworks.jl> is a julia package for computational neuroscientists to simulate large scale spiking neural network. It is inspired by Brain2 <http://briansimulator.org/>, and achieve most of the functionalities in Brian2 with faster speed, cleaner syntax and flexibility. Julia <http://julialang.org/> is a technical computing language, which relies on LLVM to achieve efficiency comparable to C. Julia has MATLAB-like syntax and is user-friendly to MATLAB users. This this package aims at experienced computational neuroscientists who want faster speed. Yao Lu

March 15, 2016

PhD studentships at Keele University - Closing Date: 15 April 2016

by Peter Andras

*Fully Funded Computer Science PhD Studentships at Keele University* The Faculty of Natural Sciences at Keele University is pleased to announce up to 7 fully-funded PhD studentships for UK/EU students for start in September/October 2016, as well as opportunities for part-funded PhD studentships for suitable candidates. Applications are invited from high quality prospective doctoral candidates in Computer Science and other disciplines. We welcome candidates with a good fit to our research specialisms and the expertise of our academic staff. Candidates are expected to have a 1st class or 2.1 class undergraduate degree or a Distinction level MSc degree in a relevant subject (or equivalent in the case of candidates from other EU countries). One of our focus areas in Computer Science is *Computational Neuroscience and Biomedical Engineering*. A selection of topics of interests in this area is provided below. *Computational Neuroscience and Biomedical Engineering*: computational modelling of the stomatogastric nervous system; bio-inspired robot control; computational modelling of cognitive behaviour in bees; neuro-control of evolving artificial creatures; neuro-control of robotic swarms; computational analysis of neuroimaging and multi-electrode array data; human and animal behaviour analysis using accelerometer data; virtual reality and robotics for rehabilitation engineering; analysis and modelling of the impact of neuromodulators in biological neural systems; big data analytics and neuro-degenerative disorders. *Funding* Each fully-funded studentship includes an annual tax-free stipend at RCUK rate plus tuition fees (currently £14,296 for stipend and £4,121 for fees). The funding is available for 3 years. Each studentship has an associated research expense budget (£2,000 – £3,000 per year, depending on the nature of the project, to cover project related consumables and conference travel). Opportunities are also available for candidates from the UK/EU and overseas who can demonstrate that they can fully or partially self-fund. If you are interested in this route, please contact Professor Peter Andras at p.andras(a)keele.ac.uk for a discussion. *Closing Date* The *closing date* for applications is Friday *15 April 2016* Full details and application procedures can be found on the website: http://www.keele.ac.uk/pgresearch/howtoapply/ For the purpose of research proposal applicants should submit an outline of their research interests or of a particular research project that the applicant would like to work on (max. 2 pages). Please send any questions by email to Lisa Cartlidge ( l.j.cartlidge(a)keele.ac.uk) or Ann Billington (a.billington(a)keele.ac.uk)

March 14, 2016

Postdoctoral Position in Computational Neuroscience/Biophysical Modeling

by Gabbiani, Fabrizio

Postdoctoral Position in Computational Neuroscience/Biophysical Modeling Computational and Applied Mathematics Rice University and Department of Neuroscience Baylor College of Medicine Houston, Texas ----- A postdoctoral position in computational neuroscience is available at Rice University and Baylor College of Medicine, in the laboratories of Steven Cox (Rice University) and Fabrizio Gabbiani (Baylor College of Medicine). Our research focuses on understanding the biophysical mechanisms underlying the implementation of non-linear operations by neurons and neuronal circuits. The postdoctoral research associate will model the cellular and network mechanisms underlying collision avoidance behaviors using advanced mathematical techniques and computer simulations. Modeling will be supported by a large data set of experimental data gathered using electrophysiology, pharmacology, calcium imaging, high-speed video imaging and telemetry. We are looking for a highly motivated candidate with a strong background in computational modeling of single neurons and neuronal circuits. Experience with Matlab and NEURON is required. The position is available for one year, with possibility of renewal for a second year, contingent of performance and funding availability. Salary will be commensurate with level of experience, based on an NIH scale. Applications will be accepted until April 15, 2016. Our labs are located at Rice University and in the adjacent Texas Medical Center, close to many of Houston's cultural and outdoor amenities. For further information about Rice University, the Texas Medical Center and Houston please visit http://www.explore.rice.edu/explore/General_Information.asp or https://www.bcm.edu/about-us/life-in-houston For further informal inquiries and to apply, please send CV, the names and full contact information of two to three references, as well as one to two representative publications to cox(a)rice.edu and gabbiani(a)bcm.edu. Equal Opportunity Employer: Females / Minorities / Veterans/ Disabled / Sexual Orientation / Gender Identity.

March 14, 2016

Eleventh Advanced Statistics and Data Mining Summer School (Madrid, June 27th - July 8th, 2016)

by asdm＠fi.upm.es

Dear colleagues, The Technical University of Madrid (UPM) will once more organize the 'Madrid UPM Advanced Statistics and Data Mining' summer school. The summer school will be held in Boadilla del Monte, near Madrid, from June 27th to July 8th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is now *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Laura Anton-Sanchez. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 27th - July 1st, 2016) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Descriptive methods for time series. Linear models for time series. Extensions. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Course 6: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. * Week 2 (July 4th - July 8th, 2016) * 1st session: 9:45-12:45 Course 7: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. Course 8: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Introduction. Language Modeling. Text Similarity. Text Classification. Information Extraction. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Advanced topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Convex non differentiable optimization. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

March 14, 2016

Reminder: Deadline is tomorrow (March 15) for Fellowships for IBBM Course in Park City, Utah

by Rob MacLeod

Dear Colleagues, Just a quick reminder that tomorrow is the deadline for all submissions for fellowships to the Image Based Biomedical Modeling (IBBM) Summer Course in July, 2016. We encourage you to forward this email to your group and your community. If you have any question please let me know. Fellowship Application Deadline : March 15, 2016 Early Bird Registration Deadline: May 15, 2016 Registration Deadline: June 10, 2016 We look forward to welcoming you to Utah this summer. Best, The IBBM Team Park City Summer Course in Image Based Biomedical Modeling July 11-21, 2016 Newpark Resort in Park City, Utah ibbm.sci.utah.edu <http://ibbm.sci.utah.edu/> Contact: ibbm(a)sci.utah.edu <mailto:ibbm@sci.utah.edu> For Graduate Students, Postdocs, Faculty, and Industry. We invite students underrepresented in health-related sciences to apply. This course creates field-specific expertise and hands-on experience in bioelectric or biomechanical problems that arise in current biomedical research and clinical practice. It provides training in numerical methods, image analysis, and computational tools necessary to carry out end-to-end, image-based, subject-specific simulations in bioelectricity or biomechanics, using freely available software. Organizers: Rob Macleod, Jeff Weiss, and Ross Whitaker Supported by the National Institutes of Health (NIH), National Institute of General Medical Sciences (NIGMS)

March 14, 2016

CIBB2016 - Computational Intelligence methods for Bioinformatics and Biostatistics

by Andrea Bracciali

[Apologies for cross-postings] ======================================================================= CALL FOR PAPERS and SPECIAL SESSIONS ======================================================================= ======================================================================= CIBB 2016 13th International Meeting on Computational Intelligence methods for Bioinformatics and Biostatistics University of Stirling, Stirling, Scotland UK September 1-3 2016 http://www.cs.stir.ac.uk/events/cibb2016/ cibb2016(a)gmail.com ======================================================================= Scope The main goal of this 13th edition of the CIBB international conference is to provide a multi-disciplinary forum open to researchers interested in the application of computational intelligence, in a broad sense, to open problems in bioinformatics, biostatistics, systems and synthetic biology and medical informatics. Cutting edge methodologies capable of accelerating life science discoveries will be discussed. Following its tradition and roots, this year's meeting will bring together researchers from the international scientific community interested in advancements and future perspectives in bioinformatics and biostatistics. Also, looking at current trends and future opportunities at the edge of computer and life sciences, the application of computational intelligence to system and synthetic biology, and the consequent impact on innovative medicine will be of great for the conference. Theoretical and experimental biologists are also invited to participate in order to present novel challenges and foster multidisciplinary collaboration. The scientific program of CIBB 2016 will include Keynote Speakers, tutorials and special sessions. Contributed papers will be presented in plenary oral sessions, special sessions, or poster sessions. Topics of interest include, but are not restricted to: · Next generation sequencing bioalgorithms · Multi-omics data analysis · High dimensional statistical analysis of omics data · Algorithms for alternative splicing analysis · Algorithms for molecular evolution and phylogenetic analysis · Methods for the visualization of high dimensional complex omic data · Software tools for bioinformatics · Methods for comparative genomics · Methods for functional classification of genes · Methods for unsupervised analysis, validation and visualization of structures discovered in bio-molecular data · Health-Informatics and Medical Informatics. · Methods for the integration of clinical and genetic data · Heterogeneous data integration and data fusion for diagnostics · Algorithms for pharmacogenomics · Biomedical text mining and imaging · Methods for diagnosis and prognosis within personalized medicine · Statistical methods for the analysis of clinical data · Prediction of secondary and tertiary protein structures · Mass spectrometry data analysis in proteomics · Algorithms for molecular evolution and phylogenetic analysis · Bio-molecular databases and data mining · Mathematical modeling and automated reasoning on biological and synthetic systems · Computational simulation of biological systems · Methods and advances in systems biology · Spatio-temporal analysis of synthetic and biological systems · Network systems biology · Models for cell populations and tissues · Methods for the engineering of synthetic components · Modelling and engineering of interacting synthetic and biological systems · Software tools for bioinformatics, biostatistics, systems and synthetic biology Publication Accepted papers will be presented at the conference (at least one author is expected to register), and will be published on proceedings for conference distribution. Extended and revised versions of the papers presented at CIBB 2016 will be invited for a post-conference monograph. This is traditionally published in the Springer series of Lecture Notes in Bioinformatics (LNBI), (arrangements undergoing). Continuing the tradition of CIBB, we are planning to publish best papers in one (or more, as appropriate) special issue of an international scientific journal (such as BMC Bioinformatics, in the latest editions). Paper Submission Papers must be prepared following the guidelines illustrated on the CIBB web site and should be long between 4 and 6 pages. Papers should be submitted in PDF format on the Easy Chair conference system (link available on the web site). Tutorials and Special Sessions CIBB 2016 will run a number of Tutorials and Special Sessions. Any topic of interest for the conference is eligible for a tutorial. Tutorials typically last from one to three hours. Special sessions focus on a specific, possibly cutting-edge, topic of interest for CIBB 2016. Special session organisers will be responsible for call dissemination, reviewing process and organizing oral presentations. Typically, a special session will have at least 4 accepted papers and may have an invited speaker (to be negotiated). Tutorial proposals including title, one page long abstract, and short CV of presenters, are due by 15th March 2014. Please send proposals to cibb2016(a)gmail.com. Special Session proposals including the session's title and scope, short CV of sessions chairs, preliminary list of at least 4 potential authors are due by 15th March 2014. Proposals of special sessions will be evaluated as soon as they are submitted. A special session must have at least 4 accepted papers. Please send proposals to cibb2016(a)gmail.com Important Dates Tutorial and Special Session proposal: 25th March 2016 Paper submission deadline: 15th May 2016 Notification of acceptance: 22nd June 2016 Final paper due: 8th July 2016 Conference: 1st -3rd September 2016 General Chairs Andrea Bracciali, University of Stirling, UK David Gilbert, Brunel University London, UK Gilbert MacKenzie, UL, ENSAI and Keele, UK Biostatistics Technical Chair Marco Bonetti, Università Bocconi, Italy Bioinformatics Technical Chair Ivan Merelli, ITB-CNR, Italy Local Organizing Committee Chairs Leslie Smith, University of Stirling, UK Giulio Caravagna, Edinburgh University, UK Publicity Chair Francesco Masulli, University of Genoa, Italy Special Session and Tutorial Chair Claudia Angelini, IAC-CNR, Italy Publication Chair Riccardo Rizzo, ICAR-CNR, Italy Steering Commitee Pierre Baldi, University of California, Irvine, CA, USA Elia Biganzoli, University of Milan, Italy Clelia Di Serio, Vita-Salute San Raffaele University, Italy Alexandru Floares, Oncological Institute Cluj-Napoca, Romania Jon Garibaldi, University of Nottingham, United Kingdom Nikola Kasabov, Auckland University of Technology, New Zealand Francesco Masulli, University of Genova, Italy and Temple University, PA, USA Leif Peterson, TMHRI, Houston, Texas, USA Roberto Tagliaferri, University of Salerno, Italy

March 14, 2016

PhD student position available at Newcastle University

by Roman Bauer

Dear all, I invite applications for a fully-funded three-year PhD student position at the Institute of Neuroscience at Newcastle University, Newcastle upon Tyne (UK). The successful candidate will work under the supervision of Dr Roman Bauer and Dr Evelyne Sernagor, and do computational modeling as well as wet-lab work on neuronal development in the retina. There is also the possibility for the student to be involved in a collaborative project with CERN openlab and Intel as a project partner. Applicants should be highly motivated and should have a strong background in physics, computer science, neuroscience or a related disciplince. Good computational skills and experience in a major programing language such as C++ or Java are required. The Institute of Neuroscience (IoN) is a well-established research institute integrating over 75 principal investigators, and was ranked in UK top 10 for overall quality of research. The university's Faculty of Medical Sciences, of which IoN is part of, is ranked in the top 50 worldwide for biomedical and health sciences in the Leiden Ranking. More details on this job posting can be found here: http://www.ncl.ac.uk/postgraduate/funding/sources/allstudents/12mrea.html Best regards, Roman Bauer

March 14, 2016