- Comp-neuro - lists.cnsorg.org

Two postdoctoral/research associate positions in computational neuroscience at Drexel University College of Medicine.
by Ilya Rybak Sept. 30, 2014

Sept. 30, 2014

Two postdoctoral/research associate positions in computational neuroscience at Drexel University College of Medicine Two postdoctoral/research associate positions in computational neuroscience for the duration of up to three years are available at Drexel University College of Medicine (Theoretical and Computational Neuroscience Lab by Dr. Ilya A. Rybak) to participate in externally funded projects. One position is for computational modeling of neural control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex and spinal cord in connection with simulation of pathological changes in motor control during Huntington’s disease. The other position involves modeling of spinal cord circuits, including the circuits of locomotor CPG, in close interactive collaboration with several world leading laboratories performing experimental studies in the isolated rodent spinal cord. Applicants must have a PhD degree in Applied Mathematics, Physics, Computer Science, Neuroscience, or related discipline and have excellent C++ programming skills. Previous experience in computational modeling of biological neurons and neural networks is a plus. Interested candidates are encouraged to contact Dr. Rybak (rybak(a)drexel.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and names and contact information of three references. ================================= Ilya A. Rybak, Ph.D. Professor Department of Neurobiology and Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129 USA Tel.: (215) 991-8596 FAX: (215) 843-9082 E-mail: rybak(a)drexel.edu http://neurobio.drexelmed.edu/rybakweb/rybak.html http://www.drexelmed.edu/Home/AboutOurFaculty/IlyaARybak.aspx https://www.researchgate.net/profile/Ilya_Rybak/publications/ http://scholar.google.com/citations?hl=en&user=SnA068QAAAAJ http://www.pubfacts.com/author/Ilya+A+Rybak

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Book on "modern methods of analysis in auditory cortex"
by Didier Depireux Sept. 30, 2014

Sept. 30, 2014

Dear colleagues, if you are interested in recently developed techniques to extract and analyze auditory cortical data, consider the book "Handbook of Modern Techniques in Auditory Cortex", D.A.Depireux & M.Elhilali, eds. It can be acquired via Amazon at http://www.amazon.com/Handbook-Modern-Techniques-Auditory-Cortex/dp/1628088… or directly from the publisher at https://www.novapublishers.com/catalog/product_info.php?products_id=45166 A host of new broadband methods have recently been developed in the study and modelling of the auditory pathway. These methods have allowed us to better understand how complex sounds are encoded along the auditory pathway in a noise-robust fashion, and the resulting cortical models have been used in a variety of problems, such speech recognition, speaker identification and noise reduction with great success. These techniques were developed and refined over the last 20 years, and as a result, the published literature offers a scattered, sometimes seemingly contradictory, account. This book is the first to present, in a single volume, the different broadband methods, their different philosophies, their relative advantages and disadvantages, and a methodology that will help the would-be-practitioner get started, navigate the literature, and chose the method most appropriate to her needs. Thank you, Didier Depireux & Mounya Elhilali Didier A Depireux depireux(a)gmail.com Inst. for Systems Research http://theearlab.org School of Engineering Ph: 410-925-6546 U Md College Park MD 20742 USA Adjunct, BioEngineering

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Postdoc: Experimental Retinal Prosthetics lab, Tuebingen, Germany
by Daniel Rathbun Sept. 30, 2014

Sept. 30, 2014

Postdoc Advertisement: For visual prosthetics research through electrophysiological experiments in the retina. *Duration*: 22 months, starting around January 1 2015, with potential to continue through the end of the project in 2019. *Location*: scenic Tübingen, Germany *Supervisors*: Dr. Daniel L. Rathbun and Prof. Eberhart Zrenner – Experimental Retinal Prosthetics Group – Centre for Integrative Neuroscience, Institute for Ophthalmic Research, University Eye Hospital *Project Description*: *SysRetPro* – Systems Neuroscience in Service of the Next-Generation Retinal Prosthesis. Our primary goal is to connect prosthesis-mediated visual responses in the blind mouse retina and normal visual responses in the healthy mouse retina through a unifying theoretical framework that encompasses both existing computational models and empirical data. The ultimate goal of this research program is to create innovations for human implants. The postdoc will be focused on data collection for the project. *Skills*: Strong background in experimental extracellular neurophysiology using either MEAs, tetrodes, or single electrodes - patch clamp a bonus. Extensive knowledge in vertebrate visual processing at the cellular, network, and systems level. Programming experience – preferably MATLAB Fluency in English, German fluency appreciated. An interest in computational modeling is preferred but not necessary. *Duties*: Experimental design within the framework of the project. Oversee and execute a program of experiments. Process and analyze MEA data corresponding to visual and electrical responses. Participate in the computational modeling of experimental data. Coordinate your activities with the PIs and bachelors, masters, and doctoral students. Active participation in development and writing of manuscripts from the lab. Work with Dr. Rathbun & Prof. Zrenner to secure funding to extend your position for the second phase of the 60-month project. *Contact*: daniel.rathbun(a)uni-tuebingen.de

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Neuroinformatics, Computational Neuroscience PhD and MSc at Edinburgh
by Matthias Hennig Sept. 28, 2014

Sept. 28, 2014

PhD/MSc IN NEUROINFORMATICS, COMPUTATIONAL NEUROSCIENCE, UNIVERSITY OF EDINBURGH. We invite applications for the PhD and MSc programme in Neuroinformatics and Computational Neuroscience at the University of Edinburgh. The MSc programme is a one year course introducing key concepts and applications through courses and a research project. It serves as preparation for a PhD or work in industry for students from quantitative disciplines with little or no previous exposure to neuroscience. A wide range of courses are available, including computational neuroscience, bioinformatics, machine learning, robotics and computer vision. This programme is self-funded. The PhD is a 3 year funded programme with a strongly interdisciplinary character and is ideal for students who want to apply their computational and analytical skills to problems in neuroscience and related fields. Often PhD projects are done in collaboration with one of the many affiliated departments and institutes, which includes experimental neuroscience groups in Edinburgh and beyond. The programme it fully funded and provides a stipend and fees. The PhD programme includes the following themes, where Edinburgh has a strong research community: - computational and mathematical studies of neural information processing - spiking computation and neurorobotics - advanced experimental data analysis - neural simulation and modelling PhD applications can be prepared in conjunction with one of the PhD supervisors in these research areas: - Douglas Armstrong - James Bednar - Matthias Hennig - Michael Herrmann - Peggy Series - Mark van Rossum - Ian Simpson - Barbara Webb For more information on faculty, visit: http://www.anc.ed.ac.uk/neuroscience Examples of ongoing projects are listed here: http://www.anc.ed.ac.uk/dtc/index.php?option=com_projects&completed=0 Students with a strong background in either computer science, mathematics, physics or engineering are particularly welcome to apply. Motivated students with other backgrounds will also be considered. This programme cannot normally consider non-EU applicants unless own funding such as an external studentship is available. Edinburgh has been voted as 'best place to live in Britain', and has many exciting cultural and student activities. Recruitment is a rolling process that ends on 13 March 2015, but for full consideration apply by 12 December 2014. To apply, visit: http://www.ed.ac.uk/studying/postgraduate/degrees?r=site/view&id=489&cw_xml= -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Postdoc: color neurophysiology, modeling and visual prosthesis, SUNY, New York City
by Youping Xiao Sept. 27, 2014

Sept. 27, 2014

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Want to build a fly brain?
by Aurel A. Lazar Sept. 27, 2014

Sept. 27, 2014

Join us in an open-source collaborative effort aimed at (i) building in silico fruit fly brain circuits, and (ii) in vivo validation of these circuits. Neurokernel: An open source platform for emulating fruit fly brains on GPUs http://neurokernel.github.io Neurokernel Requests for Comments (RFCs): http://neurokernel.github.io/docs.html Aurel A. Lazar http://www.bionet.ee.columbia.edu

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December10-13th : Workshop and Course on "Neural Information Dynamics, Causality and Computation close to Criticality"
by Michael Wibral Sept. 26, 2014

Sept. 26, 2014

Dear colleagues, please find below an invitation to a joint workshop by LOEWE-NeFF and the Frankfurt Institute for Advanced Studies (FIAS). Best Regards, Michael Wibral Matthias Kaschube ----------------------- LOEWE-NeFF and the Frankfurt Institute for Advanced Studies (FIAS) jointly invite you to a “Workshop on Neural Information Dynamics, Causality and Computation near Criticality” December 12-13th, 2014 The workshop is preceded by a “Software course on Neural Information Dynamics with TRENTOOL, the Java Information Dynamics Toolkit and MuTE” December 10-11th, 2014 Venue: Workshop and student course will be held at the Frankfurt Institute for Advanced Studies (FIAS, www.fias.uni-frankfurt.de) Ruth-Moufang-Straße 1, 60438 Frankfurt, Germany The workshop addresses the analysis of neural computation in large neural systems and covers three tightly related topics in the field of modern analysis of neural data: Causality The analysis of causal interactions yields important insights into the biophysical substrate of neural dynamics that enable emergent computation. It is one of the goals of the workshop to discuss the link between causal analysis and the analyses of information processing proper, in order to clarify the dividing line and the mutual benefit of these two types of analyses. Neural information dynamics Information theoretic quantities separate and measure key elements of distributed computation in neural systems, such as the storage, transfer, and modification of information. These concepts can help to better understand the computational algorithms implemented by the dynamics of a neural system, providing the link between these algorithms and their biophysical implementation. Large scale organisation and criticality Neural systems orchestrate the activity of a large number of interacting neurons to achieve their computational capabilities. Recent advances in recording technology make it possible to reveal the activity patterns of hundreds of neurons distributed across the brain. This offers the unique opportunity to identify the large-scale organising principles of neural activity, such as operation near a critical point, that support computation in the system. Confirmed speakers: Adam Barrett Demian Battaglia Sakyasingha Dasgupta Luca Faes Esther Florin Moritz Grosse-Wentrup Andreea Lazar Anna Levina Daniele Marinazzo Oliver Obst Gordon Pipa Alberto Porta Viola Priesemann Karin Schiecke Raul Vicente The supporting software course addresses young scientists who intend to apply information theoretic measures for neuroscience hands on, and that would like to contribute code to one of the open source toolboxes on the topic. Some minimal experience with MATLAB or GNU-Octave is necessary for participation. Some prior knowledge in information theory is a plus. Applications for the student course should include a brief statement of motivation. Student course faculty: Alessandro Montalto (MuTE) Michael Wibral (TRENTOOL, Java Information Dynamics Toolkit) Patricia Wollstadt (TRENTOOL) ---------------------------------------------------------- Please apply/register by email before October 24th to wibral(a)em.uni-frankfurt.de as places for course and workshop are limited. Registration fees Student course: 50,00 EUR Workshop: 75,00 EUR Course+Workshop: 100,00 EUR Upon successful registration please wire the registration fees to: Account holder: Universitätsklinikum Account: 37 99 99, BLZ: 50050201 IBAN: DE 32 500 502 01 0000 37 9999 SWIFT-Code: HELADEF 1822 Reference: 21000521

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ICCM 2015
by ICCM 2015 Sept. 26, 2014

Sept. 26, 2014

############################# Call for papers ICCM 2015 April 9 - 11, 2015 Tutorials: April 8, 2015 Groningen, The Netherlands ############################# We would like to invite you to the 13th International Conference on Cognitive Modeling: the premier conference for research on computational models and computation-based theories of human cognition. ICCM is a forum for presenting and discussing the complete spectrum of cognitive modeling approaches, including connectionism, symbolic modeling, dynamical systems, Bayesian modeling, and cognitive architectures. Research topics can range from low-level perception to high-level reasoning. In 2015 we specifically welcome contributions that use computational models to better understand neuroscientific data. We are pleased to announce three world-class invited speakers: Pieter Roelfsema (Netherlands Institute for Neuroscience), Mark Steyvers (University of California, Irvine), and John Anderson (Carnegie Mellon University). All types of submissions (full papers, poster abstracts, symposia, and pre-conference tutorials) are due on December 8, 2014, 11.59pm CEST. More information can be found on our website: http://www.iccm2015.org We hope to see you in Groningen! Niels Taatgen Marieke van Vugt Jelmer Borst Katja Mehlhorn #############################

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Invitation - 4th International Conference " Aspects of Neuroscience" Warsaw, Poland, November 14th to 16th 2014
by Daniel Borek Sept. 25, 2014

Sept. 25, 2014

Dear Friend, On behalf of the Board of the Student Neurobiology Society operating at the Faculty of Biology of the University of Warsaw (Poland) we would like to invite you to *the 4**th** International Conference " Aspects of Neuroscience"* that will be held in Warsaw, Poland, *from November 14**th** to 16**th** 2014* at the Faculty of Biology of the University of Warsaw. As in the following years, this time the Conference also consists of poster and report symposia*. *November symposia will be devoted to*: Neurobiology, Cognitive Neuroscience, Clinical Neuroscience, Neuroinformatics and Neuroscience Borderlines*. Each of the thematic symposium will be preceded by a lecture delivered by one of the guests, a specialist of a given domain. The IV edition of Aspects of Neuroscience Conference will be opened by *prof. Krzysztof Palczewski *from Department of Pharmacology (Case Western Reserve University, Ohio, USA) with the lecture entitled "Chemistry of vision and inherited retinal disease". The closing lecture will be delivered by *prof. Wiesław Nowiński* from the Agency for Science, Technology and Research <http://pl.wikipedia.org/wiki/Agency_for_Science,_Technology_and_Research> who is a *creator of 3D human brain atlase.* Among our special guests are *dr Bruce Graham* from University of Stirling in Scotland (Neuroinformatics session), *prof. Leszek Kaczmarek* from Nencki Institute of Experimental Biology, Polish Academy of Sciences (Neurobiology session), *dr Valeria Gazzolla* from the Netherlands Institute for Neuroscience in Amsterdam, assistant professor at the University of Groningen in Netherlands (Cognitive neuroscience session) and *prof. Semir Zeki – *the Head of the Wellcome Laboratory of Neurobiology (Vislab) at the University of College London (Borderlines of neuroscience session). The student lectures will take place simultaneously in two rooms, in *basic* version *and* in *extended version*. Language of conference is *English*. The event is intended for students, doctoral students and research workers related to neuroscience, but also for people who do not have any experience in this field of knowledge. *Registration for the conference is already open! * http://www.neuronauka.org/eng/?page_id=69 More information about conference and the whole Project: www.neuronauka.org/eng. Find us on facebook: https://www.facebook.com/AspectsOfNeuroscience?fref=ts Yours sincerely, Student Neurobiology Society at the University of Warsaw Organizing Committee of the International Conference of Students and Young Scientists "The Aspects of Neuroscience"

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POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY
by Wilson Truccolo Sept. 24, 2014

Sept. 24, 2014

POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY: Applications for NIH-funded post-doctoral positions are invited for the Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic and biophysical models of multiscale neural dynamics in human epilepsy. Data consist of simultaneous intracortical microelectrode array recordings of ensembles of single neurons and local field potentials, as well as ECoGs, during seizure and non-seizure states in individuals with intractable epilepsy. The project involves a collaboration between the labs of Dr. Truccolo and Dr. Sydney Cash (Massachusetts General Hospital, Harvard Medical School, Boston). The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics. Related recent publications can be found on the Truccolo lab website ( http://www.truccololab.com/ <http://dl.dropbox.com/u/983891/Truccolo_home.htm>). Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience Institute for Brain Science & Department of Neuroscience, Brown University Lab website: http://www.truccololab.com/

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PhD position in systems neuroscience at the Queensland Brain Institute (Australia).
by Allen Cheung Sept. 23, 2014

Sept. 23, 2014

Dear Colleagues, We are seeking a suitable PhD candidate to investigate the computational underpinnings of spatial representations in the rodent hippocampus. The candidate will use in vivo electrophysiology and new wireless recording technologies to record from individual neurons in behaving rodents. The work will be carried out in state-of-the-art facilities at the Queensland Brain Institute in Brisbane, Australia. Further information about the PhD project and the Queensland Brain Institute can be found at: http://jobs.uq.edu.au/caw/en/job/496483/phd-position-in-systems-neuroscienc… Allen ________________________________________________ Dr Allen Cheung Group Leader | Computational Neuroscience | Spatial Navigation Queensland Brain Institute | The University of Queensland Email: a.cheung(a)uq.edu.au ________________________________

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Recruitment: Sainsbury Wellcome Centre for Neural Circuits and Behaviour
by Peter Dayan Sept. 23, 2014

Sept. 23, 2014

Sainsbury Wellcome Centre for Neural Circuits and Behaviour Under the Directorship of Professor John O’Keefe, the Sainsbury Wellcome Centre for Neural Circuits and Behaviour at UCL will commence operations in early 2015 bringing together world-leading scientists to investigate how brain circuits process information to create neural representations and guide behaviour. The Centre has been created through substantial investment from the Gatsby Charitable Foundation and the Wellcome Trust, and is being structured to foster a culture of innovation, collaboration, enquiry and excellence. The Centre will be accommodated in a new, purpose-designed, seven-storey building located in Central London and offering an outstanding and unparalleled research environment through its provision of state-of-the-art research laboratories with integral biological services capability, cutting-edge scientific equipment, technologically-advanced prototyping and fabrication laboratories, significant in-house high-performance computing facilities and extensive data storage systems to support both experimental analysis and theoretical modelling. Neuroscientists working in the Centre will use the latest advanced molecular and cellular biology, imaging, electrophysiology and behavioural techniques. The Gatsby Computational Neuroscience Unit will be located at the heart of the Centre, facilitating broad and deep collaborations in data analysis and computational modelling. The full complement of scientists in the Centre is expected to reach 150 together with around 50 dedicated support staff. Scientists joining the Centre will become part of UCL Neuroscience which brings together over 450 principal investigators located primarily within the UCL School of Life and Medical Sciences and offers extensive opportunities for interaction and collaboration. Neuroscience is a strategic priority for UCL as it positions itself to become the world’s leading neuroscience institution. The Centre will offer additional opportunities for collaboration, networking and intellectual stimulation through its visitor programme, regular seminar series and the hosting of world-class scientific conferences and workshops. Formal teaching commitments will be minimal allowing scientists to focus on their research. The Centre is recruiting high-achieving, highly-motivated collaborative scientists with backgrounds in neuroscience as well as related physical and biological sciences, at all career levels. We invite applications from outstanding, innovative scientists who can evidence the highest levels of academic excellence through substantial peer-reviewed publications and significant scientific achievement. Given the technologically- advanced research proposed for the Centre, we are particularly interested in scientists wishing to extend the boundaries of technological development in areas such as high-density electrophysiological probes, telemetry, optical recording, molecular and genetic tools, new anatomical mapping techniques, and the use of virtual reality and other novel behavioural approaches such as video image analysis. Recruitment will take place on a continuing ad hoc basis and at dedicated residential recruitment workshops. The first recruitment workshop has been scheduled for 3-4 November 2014 with a focus on Fellowship applications. Senior scientist interviews will be scheduled from November onwards. Competitive salaries, tailored research space and generous relocation and recruitment packages, including research support, will be offered. For further details about vacancies and how to apply online, please visit: http://www.ucl.ac.uk/swc/opportunities

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Tenure-track faculty position in computational cognitive neuroscience at Dartmouth
by James V. Haxby Sept. 23, 2014

Sept. 23, 2014

********** Assistant Professor, Computational Cognitive Neuroscience: The Department of Psychological and Brain Sciences at Dartmouth College expects to make a tenure-track appointment at the rank of Assistant Professor (entry-level or advanced) in Computational Cognitive Neuroscience effective July 1, 2015. We seek an individual who is able to provide high-quality teaching at the undergraduate and graduate levels and who has exhibited excellence in independent research. We are interested in applicants who investigate how information is encoded in neural activity and who develop and use methods for decoding information from population responses and neural circuits. Our department has particular strength in Cognitive Neuroscience, Social Neuroscience, and Behavioral/Systems Neuroscience. We are particularly interested in applicants whose work focuses on high-level cognitive functions, such as, but not limited to, high-level vision and audition, attention, working memory, social cognition, and decision making. The department is housed in a state-of-the-art research and teaching facility that includes a dedicated 3T MRI scanner for brain imaging research and animal research facilities. Dartmouth also is home to the Neukom Institute for Computational Science, the Geisel School of Medicine, and the Thayer School of Engineering, which provide further opportunities for cross-disciplinary collaborations. With an even distribution of male and female students and over a third of the undergraduate student population from minority groups, Dartmouth is committed to diversity and encourages applications from women, minorities, veterans, and people with disabilities. Please submit an application including curriculum vita, a statement of research interests, pdf files of representative journal reprints or manuscripts, and contact information for three references. Applications should be submitted via http://apply.interfolio.com/25762. Questions can be addressed to James Haxby, Chair, Computational Cognitive Neuroscience Search Committee, by email (preferred; james.v.haxby(a)dartmouth.edu<mailto:james.v.haxby@dartmouth.edu>) or regular mail (Department of Psychological & Brain Sciences, 6207 Moore Hall, Hanover, NH 03755). Review of applications will begin in November and continue until the position is filled. ----------------------- James Haxby Director, Center for Cognitive Neuroscience Department of Psychological & Brain Sciences 6207 Moore Hall Dartmouth College Hanover, NH 03755 Professor Center for Mind/Brain Sciences - CIMeC University of Trento, Italy email: james.v.haxby(a)dartmouth.edu<mailto:james.v.haxby@dartmouth.edu>

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CFP: Special Issue on "Information Theoretic Incentives for Cognitive Systems"
by Keyan Ghazi-Zahedi Sept. 23, 2014

Sept. 23, 2014

Dear Colleagues, we would like to draw your attention to the forthcoming special issue on "Information Theoretic Incentives for Cognitive Systems <http://www.mdpi.com/journal/entropy/special_issues/information-theoretic>" in the open access journal Entropy and invite you to contribute -- deadline February 28th, 2015. In recent years, ideas such as "life is information processing" or "information holds the key to understanding life" have become more common. However, how can information, or more formally Information Theory, increase our understanding of life, or life-like systems? Information Theory not only has a profound mathematical basis, but also typically provides an intuitive understanding of processes, such as learning, behavior and evolution terms of information processing. In this special issue, we are interested in both: a.) the information-theoretic formalization and quantification of different aspects of life, such as driving forces of learning and behavior generation, information flows between neurons, swarm members and social agents, and information theoretic aspects of evolution and adaptation and b.) the simulation and creation of life-like systems with previously identified principles and incentives. Topics with relation to artificial and natural systems: information theoretic intrinsic motivations information theoretic quantification of behavior information theoretic guidance of artificial evolution information theoretic guidance of self-organization information theoretic driving forces behind learning information theoretic driving forces behind behavior information theory in swarms information theory in social behavior information theory in evolution information theory in the brain information theory in system-environment distinction information theory in the perception action loop information theoretic definitions of life Christoph Salge Georg Martius Keyan Ghazi-Zahedi Daniel Polani - Guest Editors - Further Information: http://www.mdpi.com/journal/entropy/special_issues/information-theoretic With best wishes, Keyan Ghazi-Zahedi -- Keyan Ghazi-Zahedi, Dr. rer. nat. Information Theory of Cognitive Systems Max Planck Institute for Mathematics in the Sciences phone: (+49) 341 9959 545, fax: (+49) 341 9959 555, office A11

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job openings at Tufts university
by sepideh sadeghi Sept. 22, 2014

Sept. 22, 2014

There are two tenure-stream faculty openings (research area: ML) at Tufts, department of Computer Science for Sep 15. There is also another opening for an interdisciplinary professorship (Computer Science, Psychology, Philosophy), intended to bridge research and education across departments and schools. More information can be found at http://www.cs.tufts.edu/Jobs/employment-opportunities.html. *Full Time Faculty* *Faculty Positions in Computer Science* The Department of Computer Science in the School of Engineering at Tufts University invites applications for two tenure-stream faculty appointments to begin in September 2015. We are looking for engaged and engaging researchers with a strong vision who can build and maintain a high-quality funded research program at Tufts. We are seeking candidates at the rank of Associate Professor or full Professor, although exceptional candidates at the rank of Assistant Professor will also be considered. We are particularly interested in researchers in the areas of machine learning and data mining broadly interpreted to include related fields where data and its analysis are central. These include, for example, adaptive systems in robotics, computational linguistics, computational sustainability, and visual analytics, as well as research involving interdisciplinary collaborations and applications in science, engineering and the humanities. Senior-level applicants should have an internationally renowned research program and a strong track record of outside funding. Junior-level applicants must hold a PhD in Computer Science or closely related field at time of appointment, and are expected to develop a high-quality funded research program. At all levels, candidates must have a strong commitment to undergraduate and graduate teaching and mentoring. The Department of Computer Science has grown tremendously in the past decade in faculty and student size and in research expenditures. Located in the Boston area, the department benefits from outstanding undergraduate and graduate students, collaborative faculty, and cross-disciplinary research opportunities. Tufts University is one of the smallest universities ranked as a Research 1 university, and it offers the best of a liberal arts college atmosphere, coupled with the intellectual and technological resources of a major research university. Tufts University supports and encourages a culture of interdisciplinary research and there are numerous such opportunities within the School of Engineering, the School of Arts and Sciences, and through graduate and professional schools. Tufts' School of Engineering distinguishes itself by the interdisciplinary focus and integrative nature of its engineering education within the intellectually rich environment of a research university. Located only six miles from historic downtown Boston, faculty members on the Tufts Medford/Somerville campus have extensive opportunities for academic and industrial collaboration as well as participation in the rich intellectual life of the area. The School of Engineering is in the midst of a period of exciting growth that has seen recruitment of outstanding new faculty, a quadrupling of funded research over the last ten years, addition of new laboratory space, an emphasis on building diversity in engineering, and major curricular initiatives at both the undergraduate and graduate levels. We request that applications include the following materials: (a) a curriculum vitae, (b) a statement describing current and planned research, (c) a statement of teaching philosophy, (d) names and affiliations of three to five potential references, and (e) a sample of scholarly work. All these should be submitted online through Academic Jobs Online <https://academicjobsonline.org/ajo/jobs/4533> (AJO). Reference letters will be solicited only with the candidate's explicit approval. Applicants have the option of providing such approval and asking for their letters to be submitted through AJO. Review of applications will begin December 8, 2014 and will continue until the positions are filled. For more information about the department, the positions, and the application procedure please visit http://www.cs.tufts.edu/. Inquiries should be emailed to cssearch(a)cs.tufts.edu . Tufts University is an Affirmative Action/Equal Opportunity employer. We are committed to increasing the diversity of our faculty. Members of underrepresented groups are strongly encouraged to apply. *Senior Faculty Position in Computer Science, Philosophy, and Psychology* The Departments of Computer Science <http://www.cs.tufts.edu/>, Philosophy <http://ase.tufts.edu/philosophy/>, and Psychology <http://ase.tufts.edu/psychology/> at Tufts University will make an appointment at the level of Associate or Full Professor as part of the Cognitive Science Ph.D. Program <http://cogsci.tufts.edu/>. This interdisciplinary professorship is the first of its kind at Tufts, intended to bridge research and education across departments and schools. We are looking for applications from well-established scholars who could contribute to the ongoing research and teaching mission of the Cognitive Science Ph.D. Program, while expanding the intellectual output and visibility of at least two participating departments. Teaching and service obligations will be shared between the host departments most fitting to the successful candidate. The successful candidate will have achieved international stature in a subfield in cognitive science, and would ideally have an established track record of obtaining external funding and advising Ph.D. students. Any research area in cognitive science that combines some aspects of computer science, philosophy, linguistics, and psychology will be considered, for instance, cognitive or agent-based modeling and simulation, computational pragmatics, and situated embodied cognition. Applications should include a curriculum vitae, a statement describing current and planned research, a statement of teaching philosophy, a writing sample, the names and affiliations of three to five potential references, and an e-mail address and phone number at which the candidate may be reached. Evidence of teaching experience and expertise is also welcome. All application materials should be submitted online throughInterfolio <http://apply.interfolio.com/24625>. Letters of recommendation will be solicited only with the candidate's explicit approval. Review of applications will begin in Spring 2014 and will continue until the position is filled. The Cognitive Science Ph.D. Program at Tufts was started in 2011 and currently enrolls over 20 students for joint degrees in cognitive science and one of the following Ph.D. granting departments: Child Development <http://ase.tufts.edu/epcd/>, Computer Science, or Psychology. The undergraduate major inCognitive and Brain Sciences <http://ase.tufts.edu/psychology/undergradConcCognitive.htm> was started in 2008; currently there are 62 majors. This bridge professorship is intended to enhance interdisciplinary research and collaboration in cognitive science at Tufts; the successful candidate will have the opportunity to engage research activity broadly at Tufts and to shape the future of both the graduate and the undergraduate programs. For more information about the programs, please visit the Cognitive Science <http://cogsci.tufts.edu/> departmental page. Inquiries about the position should be emailed to cogsci-search(a)tufts.edu . Tufts University is an Affirmative Action/Equal Opportunity employer. We are committed to increasing the diversity of our faculty. Members of under-represented groups are strongly encouraged to apply.

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Research Associate in Neuroscience, University of Leicester
by Atkinson, Sue Sept. 22, 2014

Sept. 22, 2014

Dear Colleagues, We are recruiting for a Research Associate here at the Centre for Systems Neuroscience, University of Leicester. This position is supported by the Human Frontier Science Program and aims to investigate how the brain creates conceptual knowledge, bridging systems, cognitive and theoretical neuroscience. You will join an international research team, working alongside colleagues from Rockefeller University (Winrich Freiwald), The Hebrew University of Jerusalem (Haim Sompolinsky) and the International School for Advanced Studies (SISSA, Trieste; Mathew Diamond and Davide Zoccolan) studying cross-species (rats, monkeys and humans) comparisons of experimental data, complimented by computational modelling. You will work on the analysis and collection of multiple single neuron recordings in epileptic patients (which are implanted with intracranial electrodes for clinical reasons) performing different cognitive tasks, and contribute towards the study of concept cells (a.k.a. Jennifer Aniston neurons; see e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga; Nature Reviews Neuroscience 2012). You may also contribute to related projects using non-invasive scalp EEG recordings (e.g. Navajas et al, J. Neuroscience 2013) and/or electrophysiology and 2-photon imaging recordings in mice. You should have very good quantitative skills, a strong background in neuroscience and, ideally, a good experience with neurophysiology recordings. Informal enquiries are welcome and should be made to Sue Atkinson, Research Centre Manager, sam45(a)le.ac.uk or 0116 252 3249. Click on the link below (or copy and paste into your browser) here and search on the reference number SEN00514 for more information and to apply. http://www2.le.ac.uk/offices/jobs/opportunities/jobsearch Sue ------------------------------------------------------------------------------------- Susan Atkinson Centre Manager Centre for Systems Neuroscience, University of Leicester, 9 Salisbury Road, Leicester, LE1 7QR, UK T: +44 116 252 3249 E: sam45(a)le.ac.uk<mailto:sam45@le.ac.uk> W: http://www2.le.ac.uk/centres/csn [cid:image001.jpg@01CFD671.58BF8A30] Elite without being elitist Follow us on Twitter<https://twitter.com/uniofleicester> or visit our Facebook<http://www.facebook.com/uniofleicester> page

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on behalf of Wulfram Gerstner: New Textbook: Neuronal Dynamics - neurons, networks, cognition
by Reinoud Maex Sept. 20, 2014

Sept. 20, 2014

Dear colleagues and students, we would like to announce the publication of a new textbook Neuronal Dynamics - from single neurons to networks and models of cognition Cambridge Univ. Press 2014 by W. Gerstner, W.K. Kistler, R. Naud and L. Paninski This text covers classical topics of computational neuroscience (Hodgkin-Huxley model, Integrate-and-fire model, Hopfield model, Competitive networks) together with modern developments in the field (Generalized Linear Models, Generalized Integrate-and-Fire models, Network dynamics, Neural fields, Decision Theory, STDP). For students: Worked-out examples and exercises are available for each chapter - plus a series of video lectures For lecturers: Teaching material in pdf or pptx format more info on: http://neuronaldynamics.epfl.ch/ We hope you will enjoy reading! best regards Wulfram Gerstner, Werner Kistler Liam Paninski, Richard Naud

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Two PhD positions in computational neuroscience at the Institute of Vision in Paris, France
by Angelo ARLEO Sept. 19, 2014

Sept. 19, 2014

Two fully-funded PhD positions in Computational Neuroscience at the Institute of Vision in Paris, France Job description Applications are invited for two PhD positions in the Aging in Vision and Action laboratory at the Institute of Vision (INSERM-CNRS-University Pierre & Marie Curie) Paris, France. The gradual impairment of vision-dependent functions with age is at the core of our research. The main goal is to characterize how healthy visual aging shapes perceptual and cognitive functions in humans. PhD project n.1 The first PhD fellow will model age-related changes of low-level processing, coding and perception in the visual system.This project will be carried out under the supervision of Tim Masquelier & Angelo Arleo (Institute of Vision, Paris, France) and Simon Thorpe (Brain & Cognition Research Center, Toulouse, France). We will design a biologically detailed spiking neural network model of the primate early visual system. The model will have to process natural images and videos, and have self-learning capabilities. We will use this model to study the impact of healthy aging on visual processing and perception. The PhD student will work hand-in-hand with experimentalists in our Aging in Vision and Action lab performing visual psychophysics with elderly humans. We expect this project to bridge the gap between observations at the neuronal level (e.g. spontaneous activity increases, spike timing precision decreases with aging), and observations at the behavioral level (e.g. perceptual thresholds increase). PhD project n.2 The second PhD student will model age-related consequences on visual-based spatial cognition. This project will be carried under the supervision of Denis Sheynikhovich & Angelo Arleo (Institute of Vision, Paris, France) and Ricardo Chavarriaga (EPFL, Swiss Federal Institute of Technology Lausanne, Switzerland). We will build a spatial learning model based on spiking neural networks accounting for existing knowledge on the neural substrates of spatial memory and navigation in animals and humans. We will use this model to study the impact of healthy visual aging on neural coding and adaptation mechanisms mediating spatial orientation and navigation. The PhD student will work hand-in-hand with experimentalists in our Aging in Vision and Action lab studying spatial orientation and navigation in elderly humans. Again, this project aims at cross-linking findings at multiple organisation levels. Requirements Applicants should have a strong quantitative background (physics, engineering, computer science, applied mathematics), and a keen interest in reverse-engineering the brain. Knowledge on computational neuroscience, machine learning, image processing and programming languages (Matlab, C or Python) are a plus, although not mandatory. Proficiency in oral and written English is required. Knowledge of French is not mandatory. Successful candidates are expected to work in an interdisciplinary environment with collaborations with biologists, theoreticians and clinicians. They will be awarded a 3-year PhD fellowship from the University Pierre and Marie Curie Paris. Working environment and laboratory The Institute of Vision is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology. The Institute of Vision includes multidisciplinary research groups, which share state-of-the-art platforms for human and animal experimentation. It also harbors a clinical investigation center, which fosters truly translational research activity. More information can be found online (http://www.institut-vision.org) The Institute of Vision and Essilor International, world leader in ophthalmic optics, have recently supported the creation of the laboratory of Aging in Vision and Action. This new laboratory aims at evaluating and understanding the functional aspects of the degeneration mechanisms related to visual aging. This research has the potential to produce fundamental knowledge suited for opening to assistive technological developments and rehabilitation solutions. The faculty members of the Aging in Vision and Action laboratory, led by Angelo Arleo, are specialized in visual psychophysics, neurobiology of spatial orientation, neural coding, neurocomputational modeling, and preclinical evaluation. The group has access to a wide range of state-of-the-art platforms including eye trackers, motion capture rooms, virtual reality environments, brain imaging, artificial street labs and home labs (http://www.streetlab-vision.com/en/) How to apply Candidates should send a single pdf file containing a motivation letter, a full CV, and names and contact information of at least two referees, to angelo.arleo(a)inserm.fr. Short listed candidates will be contacted for an interview (either face-to-face or via videoconference). For further inquiries, please contact Angelo Arleo, angelo.arleo(a)inserm.fr, phone: +33 (0)1 53 46 26 52. Angelo ARLEO Institute of Vision, Aging in Vision and Action Lab, CNRS - INSERM - University Pierre&Marie Curie, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 89 89 07 23 email: angelo.arleo(a)inserm.fr; angelo.arleo(a)upmc.fr

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Educational video available
by Geoffrey Goodhill Sept. 19, 2014

Sept. 19, 2014

Dear Computational Neuroscientists, Although it didn't win anything from the Society for Neuroscience, you might be interested in this entry for SFN's Brain Awareness Video contest, entitled "What has Maths got to do with the Brain?". It's a stop motion animation of dolls (representing high school students) discussing what subjects they should study next year: https://www.youtube.com/watch?v=7bEU1J-CN-U This was a collaboration between myself (scriptwriter) and my daughter (everything else, plus some script editing). Geoff Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Phone: +61 7 3346 6431 Fax: +61 7 3346 6301 Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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New tools for integrating biomarkers in NBT.
by Simon-Shlomo Poil Sept. 18, 2014

Sept. 18, 2014

Dear comp-neuro List. We are happy to announce that a new version of the Neurophysiological Biomarker Toolbox (NBT-v0.5.0-alpha) is available. This version includes new tools for integrating multiple biomarkers. Please see more details here: http://l.nbtwiki.net/1uI628a The NBT toolbox (http://www.nbtwiki.net) is an open-source Matlab toolbox, which integrates easily with other toolboxes such as EEGlab and Fieldtrip. NBT provides a data processing pipeline, from raw data to final statistical analysis and visualization of M/EEG biomarkers combined with biomarkers from other modalities. The pipeline enables fast processing and the NBT data structure provides an intuitive and predictable interface for programming of advanced statistical analysis. Best regards, Simon-Shlomo Poil

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COSYNE2015: Meeting Announcement and Call for Abstracts
by Tomas Hromadka Sept. 18, 2014

Sept. 18, 2014

================================================================== Computational and Systems Neuroscience (Cosyne) MAIN MEETING WORKSHOPS Mar 5 - Mar 8, 2015 Mar 9 - Mar 10, 2015 Salt Lake City, Utah Snowbird Ski Resort, Utah http://www.cosyne.org ================================================================== The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks are selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. Please note that the main Cosyne 2015 meeting will take place in a different venue (Hilton Salt Lake City Center) one week later than usual, see www.cosyne.org for details. IMPORTANT DATES: Abstract submission opens: 29 Sep 2014 Abstract submission deadline: 26 Nov 2014 CONFIRMED SPEAKERS: Amy Bastian (Johns Hopkins) Matteo Carandini (UCL) Sophie Deneve (ENS) Florian Engert (Harvard) Marla Feller (UC Berkeley) Wulfram Gerstner (EPFL) Shawn Lockery (U Oregon) Liam Paninski (Columbia) Nicole Rust (U Penn) Tatyana Sharpee (Salk) Mariano Sigman (UBA) Emo Todorov (U Washington) When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE: General Chairs: Michael Long (NYU) and Stephanie Palmer (U Chicago) Program Chairs: Maria Geffen (U Penn) and Konrad Körding (Northwestern) Workshop Chairs: Robert Froemke (NYU) and Claudia Clopath (Imperial College) Publicity Chair: Xaq Pitkow (Rice) EXECUTIVE COMMITTEE: Anne Churchland (CSHL) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT cosyne.meeting [at] gmail.com

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Postdoc opportunity at Stanford in Reward Processing and Reinforcement Learning
by Wei Wu Sept. 17, 2014

Sept. 17, 2014

Postdoc opportunity at Stanford in Reward Processing and Reinforcement Learning (with application to TMS investigations and Transdiagnostic Imaging of Psychiatric Disorders) The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a postdoctoral research fellowship focused on reward processing and reinforcement learning using computational modeling and fMRI in healthy individuals and patients with a range of psychiatric disorders. The focus of this position is on understanding application of these methods to the study of emotional disorders, manipulation of relevant circuitry using TMS, and development of new approaches for understanding the mechanisms of emotion regulation in health and disease. The successful applicant will have a PhD in Cognitive Neuroscience, Neurophysiology, Psychology, Computer Science, Statistics or related fields. Experience with reward or reinforcement learning paradigms using fMRI or EEG, as well as computational modeling is strongly encouraged. Additional programming experience is a plus. A US Citizenship is also required. Duties will also include manuscript preparation, presentation of findings at conferences, management of research assistants and contribution to the preparation of grants. Laboratory and Stanford resources include research-dedicated 3T and 7T MRI scanners, concurrent TMS/fMRI setups and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and three letters of recommendations, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford University amitetkin(a)stanford.edu

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Postdoctoral fellow in multimodal neuroimaging of decision making
by Marios Philiastides Sept. 17, 2014

Sept. 17, 2014

We are looking to appoint one postdoctoral fellow to make a leading contribution to an ESRC funded project on the neurobiology of human decision making using multimodal neuroimaging. The post will be based at the Institute of Neuroscience and Psychology (INP) at the University of Glasgow (ranked 2nd in the UK by the Guardian), which benefits from on-site access to the Centre for Cognitive Neuroimaging (CCNi). The CCNi is a research-dedicated facility within the INP and it is equipped with state-of-the art brain imaging facilities comprising a 3T fMRI scanner (Siemens Trio), an MEG system, and several TMS and EEG systems, including MR-compatible recording options. Our group uses multimodal neuroimaging coupled with mathematical modelling to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying human decision making. Our analysis methods are heavily inspired by machine learning and statistical pattern recognition and are designed to exploit trial-to-trial variability in electrophysiologically-derived measures that can be used in conjunction with simultaneously acquired fMRI to tease apart the cascade of constituent cortical and subcortical processes involved in decision making. The primary focus of the project will be to unravel the neural correlates of learning and confidence during decision making, which will form the basis for further development of brain computer interfaces (BCI) for human-machine interaction. The latter will take place in close collaboration with Prof. Paul Sajda’s team at Columbia University in New York with whom the selected candidate will have the opportunity to interact regularly. Candidates must have a PhD (or equivalent) in neuroscience, psychology, cognitive science or in a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (including both EEG and fMRI) as evident by a strong track record of publications in international journals. The post holder must also have working knowledge of multivariate data analysis techniques, excellent programming skills in Matlab and previous experience in using either fSL or SPM analysis software. Previous experience in simultaneous EEG/fMRI experiments and computational modelling is desirable. This post will be available from 5th January 2015 or as soon as possible thereafter for three years. Salary: Grade 7 £33,242 – £37,394 per annum. Informal enquiries may be addressed to Dr. Marios Philiastides at marios.philiastides(a)glasgow.ac.uk. Please note that applications sent directly to this email address will not be accepted. For more details on our research interests visit http://decision.ccni.gla.ac.uk. Apply online at www.glasgow.ac.uk/jobs (Ref: 009415) Closing date: 19 October 2014 -- Marios G. Philiastides, Ph.D. Associate Professor Institute of Neuroscience and Psychology Centre for Cognitive Neuroimaging University of Glasgow Glasgow, G12 8QB Web: http://decision.ccni.gla.ac.uk/ Email: marios.philiastides(a)glasgow.ac.uk

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CFP 5th International Conference on Cloud Computing and Services Science - CLOSER 2015
by calendarsites＠insticc.org Sept. 17, 2014

Sept. 17, 2014

CALL FOR PAPERS 5th International Conference on Cloud Computing and Services Science - CLOSER 2015 Website: www.closer.scitevents.org May 20 22, 2015 Lisbon, Portugal Regular Papers Paper Submission: December 16, 2014 Authors Notification: March 11, 2015 Camera Ready and Registration: March 25, 2015 Position Papers Paper Submission: February 3, 2015 Authors Notification: March 12, 2015 Camera Ready and Registration: March 25, 2015 Workshops Workshop Proposal: January 8, 2015 Doctoral Consortium Paper Submission: March 13, 2015 Authors Notification: March 26, 2015 Camera Ready and Registration: April 8, 2015 Special Sessions Special Session Proposal: January 21, 2015 Tutorials, Demos and Panel Proposals March 20, 2015 Sponsored by: INSTICC Institute for Systems and Technologies of Information, Control and Communication INSTICC is Member of: WfMC Workflow Management Coalition OMG Object Management Group Logistics Partner: SCITEVENTS Science and Technology Events The 5th International Conference on Cloud Computing and Services Science, CLOSER 2015, focuses on the emerging area of Cloud Computing, inspired by some latest advances that concern the infrastructure, operations, and available services through the global network. Further, the conference considers as essential the link to Services Science, acknowledging the service-orientation in most current IT-driven collaborations. The conference is nevertheless not about the union of these two (already broad) fields, but about Cloud Computing where we are also interested in how Services Science can provide theory, methods and techniques to design, analyze, manage, market and study various aspects of Cloud Computing. KEYNOTE SPEAKERS CLOSER 2015 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed. PUBLICATIONS All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier). All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. It is planned to publish a short list of revised and extended versions of presented papers with Springer in a CCIS Series book (final approval pending). The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus. AWARDS The awards will be announced and bestowed at the conference closing session. Please check the website for further information: closer.scitevents.org/BestPaperAward.aspx CONFERENCE CHAIR Markus Helfert, Dublin City University, Ireland PROGRAM CO-CHAIRS Víctor Méndez Muñoz, Universitat Autònoma de Barcelona, UAB, Spain Donald Ferguson, Dell, United States CONFERENCE AREAS: Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. CLOUD COMPUTING FUNDAMENTALS 2. SERVICES SCIENCE FOUNDATION FOR CLOUD COMPUTING 3. CLOUD COMPUTING PLATFORMS AND APPLICATIONS 4. CLOUD COMPUTING ENABLING TECHNOLOGY 5. MOBILE CLOUD COMPUTING AND SERVICES AREA 1: CLOUD COMPUTING FUNDAMENTALS · Cloud Application Portability · Cloud Computing Architecture · Cloud Delivery Models · Cloud Deployment Models: Public/Private/Hybrid Cloud · Cloud Education · Cloud Interoperability · Cloud Risk, Challenges, and Governance · Cloud Scenarios · Cloud Standards · QoS for applications on clouds · Energy Management · Resource Management · Privacy, Security and Trust AREA 2: SERVICES SCIENCE FOUNDATION FOR CLOUD COMPUTING · Business Process Management and Web Services · Business Services Realized by IT Services · Cloud Brokering · Cloud Cost Analysis · Cloud Governance · Enterprise Architectures and Services · Federated Cloud · Human Beings in Service Systems · Industrial Applications of Services Science · Information and Service Economy · Internet of Services · Model-Driven Web Service Engineering · Semantic Web Technologies · Service Brokering · Service Composition and Mashups · Service Discovery · Service Innovation · Service Marketing and Management · Service Modeling and Specification · Service Monitoring and Control · Service Strategy · Service-Oriented Architecture · Services Security and Reliability · Web Services AREA 3: CLOUD COMPUTING PLATFORMS AND APPLICATIONS · Access Control · Application Data Migration · Big Data Cloud Services · Cloud Application Architectures · Cloud Application Scalability and Availability · Cloud Applications Performance and Monitoring · Cloud Economics · Cloud Middleware Frameworks · Cloudsourcing · Development Methods for Cloud Applications · XaaS · Cloud Services AREA 4: CLOUD COMPUTING ENABLING TECHNOLOGY · API Management · Cloud Abstraction of Composite IT Systems · Cloud Composition, Federation, Bridging, and Bursting · Cloud Ilities (Scalability, Availability,Reliability) · Cloud Optimization and Automation · Cloud Resource Virtualization and Composition · Virtual Infrastructure Management · VM Live Migration · Cloud Workload Profiling and Deployment Control · Distributed Management of Clouds · High Performance Cloud Computing · Metering, pricing, and software licensing · Monitoring of Services, Quality of Service, Service Level Agreements · Performance Development and Management · Programming Models, Systems, and Fault-Tolerant Computing · Security, Privacy, and Compliance Management · Troubleshooting and Best Practices · Virtualization Technologies AREA 5: MOBILE CLOUD COMPUTING AND SERVICES · Cloud-based mobile media systems and social networks · Engineering Mobile Clouds and Mobile-Based Systems · Location-based mobile cloud applications and services · Mobile cloud computing models, infrastructures, and approaches · Mobile Clouds for E-Commerce Services · Mobile multimedia content delivery, transferring, and migration · Mobile Reliability, Availability, Scalability and Performance · Pervasive Environments · Quality of service on mobile clouds and applications · Security Issues in Mobile Systems Software and Hardware · Smart mobile computing SaaS on clouds PROGRAM COMMITTEE http://closer.scitevents.org/ProgramCommittee.aspx Please check further details at the conference website closer.scitevents.org --- This email is free from viruses and malware because avast! Antivirus protection is active. http://www.avast.com

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MURI Winter School Jan. 2015 **Abstract submission deadline NOV. 7, 2014**
by Santamaria, Cookie Sept. 16, 2014

Sept. 16, 2014

UCSD and the University of Chicago present: MURI WINTER SCHOOL 2015<http://biocircuits.ucsd.edu/special/winterschool2015> Dynamics of Multifunction Brain Networks Organizers: Henry Abarbanel (UCSD), Timothy Gentner (UCSD), and Daniel Margoliash (Univ. of Chicago) 15th Floor, Building 1, Village West<http://maps.ucsd.edu/mapping/viewer/default.htm?mkey=1&lc=open&km=open&rc=c…>, UC San Diego January 7-9, 2015 Registration deadline: Friday, December 5, 2014 Abstract submission deadline: Friday, November 7, 2014 Lecturers: Tim Gardner<http://www.bu.edu/biology/people/faculty/gardner/> (Boston University) – “TBA” Michael Long<http://longlab.med.nyu.edu/> (New York University) – “How does the brain generate behavioral sequences?” Gabriel Mindlin<http://www.lsd.df.uba.ar/> (University of Buenos Aires) – “The biomechanics of birdsong production” and “Low dimensional dynamics systems behind birdsong production” Richard Mooney<http://www.mooneylab.com/> (Duke University) – “Neurobiology of vocal learning” and “Forward mechanisms for hearing and learning” Marc Schmidt<http://www.bio.upenn.edu/people/marc-schmidt> (University of Pennsylvania) – “Brainstem and forebrain contributions to the generation of learned motor” Ofer Tchernichovski<http://ofer.sci.ccny.cuny.edu/> (Hunter College) – “Vocal learning beyond imitation: from cultural evolution to brain dopamine” and “How a song is learned: mechanisms of template matching” ________________________________________________________________________________ This is the third annual Winter School sponsored by the U.S. Office of Naval Research as part of its UCSD/Chicago MURI program in Dynamics of Multifunction Brain Networks. This year’s School presents a series of pedagogical and research oriented talks on the use of birdsong as a model system where theory and experiment can meet productively. It includes a series of pedagogical presentations and a poster session. The School is intended for all researchers, including advanced graduate students, interested in the general area of understanding functional nervous systems. Active participation during the School's lectures is strongly encouraged. All attendees are invited to submit abstracts for poster presentations. Selected contributed posters will be highlighted in an oral session. Registration is required for attendance, but there is no fee for attending. A limited number of travel awards are available for exceptionally qualified graduate students and postdocs, who should apply and have their supervisor send a letter of reference, via email, to muri.winter.school(a)gmail.com<mailto:muri.winter.school@gmail.com>. Please visit us online to register and for details regarding the schedule and poster abstract submission: http://biocircuits.ucsd.edu/special/winterschool2015

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Graduate student position in computational cognitive neuroscience
by Sebastien Helie Sept. 15, 2014

Sept. 15, 2014

Dear Modelers, Dr. Sebastien Helie is looking for new graduate students interested in the Mathematical and Computational Cognitive Science (MCCS) program to join the Purdue Laboratory for Computational Cognitive Neuroscience in Fall 2015. The Purdue Laboratory for Computational Cognitive Neuroscience is affiliated with the Department of Psychological Sciences at Purdue University, which is consistently ranked among the top 50 in the US. The Purdue Laboratory for Computational Cognitive Neuroscience uses different methodologies from cognitive psychology, neuroimaging, and computational modeling to study the relation between the brain and cognitive processing. The goal of the Purdue Laboratory for Computational Cognitive Neuroscience is to use empirical and computational methods to better understand categorization, automaticity, rule learning, sequence learning, skill acquisition, and intuition in decision-making. You can find more information about the Department of Psychological Sciences @ Purdue University here: http://www.purdue.edu/hhs/psy/ You can find more information about the Mathematical and Computational Cognitive Science (MCCS) program here: http://www.purdue.edu/hhs/psy/graduate/research_training_areas/mathematical… You can find more information about The Purdue Laboratory for Computational Cognitive Neuroscience program here: http://ccn.psych.purdue.edu/index.html Interested students should contact Dr. Helie at shelie(a)purdue.edu. -- ----------------------------------- Sebastien Helie, Ph.D. Assistant Professor Department of Psychological Sciences Purdue University 703 Third Street West Lafayette, IN 47907-2081 -- Office: Peirce Hall, Room 359 Phone: (765) 496-2692 E-mail: shelie(a)purdue.edu Website: http://ccn.psych.purdue.edu/ ------------------------------------

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Faculty Position in Neuroscience, NYU-Shanghai
by Echo Wang Sept. 15, 2014

Sept. 15, 2014

*FACULTY POSITION* *Neuroscience**NYU Shanghai* Shanghai New York University (NYU Shanghai) invites applications for several assistant (tenure-track), associate (tenured), and full professor (tenured) positions from candidates with research programs in systems, computational, and cognitive neuroscience. The recruited faculty will also become members of a new neuroscience research institute, with the primary goal of understanding the mechanisms by which neural circuits in the brain generate cognition and flexible behavior. Neuroscientists at NYU Shanghai will also have the opportunity to interact and collaborate with researchers in Economics, Mathematics, Data Science and Engineering. Candidates must have completed a Ph.D. or equivalent by the time of application. The successful candidates will be expected to develop an independent, extramurally-funded research program, play a key role in the growth of the new Neuroscience Institute, and to teach in NYU Shanghai. Applications should be submitted by January 1, 2014 for appointments to begin as early as July 2014. NYU Shanghai is the first Sino-US higher education joint venture to grant a degree that is accredited in the US as well as in China. A research university with liberal arts and sciences at its core, NYU Shanghai resides in one of the world's great cities, which is also a vibrant intellectual community (http://shanghai.nyu.edu/) New York University has established itself as a Global Network University, with three degree granting campuses - New York, Shanghai, and Abu Dhabi - complemented by 12 additional academic centers across five continents. NYU Shanghai faculty may spend time at NYU New York and other sites of NYU’s global network engaging in both research and teaching. NYU Shanghai faculty will also have the opportunity to be affiliated with the Center for Neural Science, the Neuroscience Institute of the NYU School of Medicine, the Department of Psychology, and/or with other suitable academic units at NYU New York. The terms of employment in NYU Shanghai are comparable to U.S. institutions in terms of research startup funds and compensation, and include housing and educational subsidies for children. Applicants should submit a curriculum vitae, a statement of research and teaching interests, electronic copies of up to three recent relevant publications, and the names and addresses of three or more individuals willing to provide letters of reference. Please visit our website at http://shanghai.nyu.edu/about/open-positions for instructions and other information on how to apply. If you have any questions, please e-mail shanghai.faculty.recruitment(a)nyu.edu . NYU-Shanghai is an Equal Opportunity/Affirmative Action Employer.

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Faculty Position in Computational Neuroscience at the University of California, Irvine
by Jeff Krichmar Sept. 14, 2014

Sept. 14, 2014

Dear Computational Neuroscientists, The following job position may be of interest to many of you. ************************** University of California, Irvine Faculty Position in Computational Neuroscience The Department of Cognitive Sciences (www.cogsci.uci.edu) at the University of California, Irvine (UCI) invites applications for a faculty position at the Associate or Full Professor level. We are especially interested in candidates who use mathematical, computational, or robotics approaches to study the neural basis of cognition in any of these areas: (1) vision, hearing, and attention; (2) memory and decision-making; (3) learning and development; (4) language. Applicants whose research relates to human behavior are preferred. A strong record of publications and extramural funding is essential. Exceptional candidates at the Assistant Professor level will also be considered. The online application includes: A cover letter, CV, research and teaching statements, 3 recent publications, and contact information for 3-5 referees. Interested candidates can apply for the position at: https://recruit.ap.uci.edu/apply/JPF02452. To ensure full consideration, please complete the application by November 15, 2014. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer committed to excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. ************************** Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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postdoctoral position in Systems Neuroscience at the University of Pennsylvania
by Maria Geffen Sept. 12, 2014

Sept. 12, 2014

POSTDOCTORAL POSITION IN SYSTEMS NEUROSCIENCE University of Pennsylvania, Philadelphia PA A postdoctoral position is available in the Laboratory of Auditory Coding under direction of Dr. Maria Neimark Geffen at the University of Pennsylvania School of Medicine to study the neural mechanisms of hearing and emotional learning in the auditory cortex of awake rodents. We invite applications from talented, energetic and enthusiastic candidates with (or expecting) a Ph.D. in life sciences. The techniques include electrophysiological recordings, imaging and optogenetics in awake behaving rodents. Experience in either electrophysiology, imaging or behavioral studies is required. Computational skills are a plus. Please visit http://www.med.upenn.edu/hearing for more information. Our laboratory is part of the Hearing Sciences Center a at the Department of Otorhinolaryngology, Department of Neuroscience and the Mahoney Institute of Neurological Sciences. University of Pennsylvania has a very interactive and diverse systems neuroscience community. The University of Pennsylvania is within walking distance of the downtown of Philadelphia, which provides for a vibrant cultural urban environment. Please submit your application, including a CV, a brief statement of past and future research interests, links to recent publications, and recommendation letters (a letter from Ph.D. advisor is required) to Dr. Maria Neimark Geffen at mgeffen(a)med.upenn.edu .

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Henry Rutgers Term Chair in Computer and Data Science
by Bart Krekelberg Sept. 11, 2014

Sept. 11, 2014

Rutgers University - Newark (RU-N) seeks outstanding candidates to serve as Henry Rutgers Term Chair in Computer and Data Science, with a specific focus on computational methods in machine learning, or statistical modeling of complex data sets in the sciences, engineering, business, or medical fields. Recruitment is at the associate professor level; however, exceptional candidates qualifying for the full professor rank may be considered. This recruitment is part of the Rutgers University Strategic Plan to strengthen Rutgers leadership in burgeoning fields, and part of the new transdisciplinary research Institute for Data Science, Learning, and Applications (I-DSLA). I-DSLA brings together computer scientists, cognitive scientists, philosophers, and domain experts in neuroscience, environmental science, chemistry, medicine, business, and other professions. The new hire will be poised to leverage these experts as well as a new high performance computing cluster on the RU-N campus, to advance knowledge about learning from data. Applicants should hold a Ph.D. in Computer Science, Computational Statistics, or a related field and have a record of excellent scholarship, as demonstrated by significant publications and funding. They should be open to collaborative research within the RU-N community and will be expected to help build a group of faculty in areas related to I-DSLA, maintain an active externally-funded research program, teach undergraduate and graduate courses, and mentor Ph.D. students. Rutgers, The State University of New Jersey, is a leading national public research university and the state's preeminent, comprehensive public institution of higher education. Rutgers, the State University of New Jersey, is an Equal Opportunity / Affirmative Action Employer. Qualified applicants will be considered for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, genetic information, protected veteran status, military service or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. Applicants should apply no later than November 1st, 2014. To receive detailed instructions on how to apply, please email hrsearch(a)rutgers.edu with the subject line 'How to apply'. --- Bart Krekelberg, PhD Associate Director, Center for Molecular and Behavioral and Neuroscience Associate Director, Rutgers Brain Imaging Center Associate Professor, Rutgers University Newark, NJ 07102 USA T: 973 353 3602 W: vision.rutgers.edu E: bart(a)vision.rutgers.edu

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Postdoctoral position available in the Niv Lab at Princeton
by Yael Niv Sept. 10, 2014

Sept. 10, 2014

A postdoctoral position is available in the lab of Dr. Yael Niv in the Princeton Neuroscience Institute and the Department of Psychology at Princeton University (http://www.princeton.edu/~nivlab) for a collaborative project with the lab of Geoffrey Schoenbaum at NIDA. Research in the Niv lab focuses on computational modeling of learning and decision making at the systems level (reinforcement learning, Bayesian inference), and model-driven behavioral and functional imaging experiments of human learning and decision making. Research in the Schoenbaum lab utilizes rodent models to study learning and decision making, as well as addiction. We seek an exceptionally talented candidate who is intensely interested in understanding decision making and addiction, has proven experience in empirical investigations of learning and decision making (and corresponding task design), has expertise in computer programming and modeling, and has a keen interest in reinforcement learning and normative models of behavior. Background in studies of addiction, functional imaging and/or rodent work is an advantage. Anticipated start date is January 2015 though there is considerable flexibility. This is a one-year position with the possibility of renewal, pending satisfactory performance. Essential Qualifications: PhD in psychology, neuroscience or equivalent. Proven experience with computer programming. Preferred Qualifications: The ideal candidate will have robust experience with fMRI (event related designs and model-based analysis techniques) or with studies of rodent decision making (Pavlovian and instrumental conditioning), will be proficient in programming (Matlab or equivalent), and will have experience with computational modeling (machine learning, reinforcement learning, Bayesian models). To apply, please visit the website https://jobs.princeton.edu (requisition # 1400567) and create an online application. Applicants must submit a cover letter stating background and research interests and citations of at least two representative publications, a CV, and contact information for at least two references. Princeton University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the University’s background check policy.

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Joint Neuroscience-Math tenure-track faculty position at UT Austin
by Ila Fiete Sept. 10, 2014

Sept. 10, 2014

Dear Colleagues, UT Austin is initiating a multi-faculty (cluster) search for tenure-track faculty in computational and theoretical neuroscience, to build on existing efforts here in that direction. I request that you pass on word of this search to exceptional senior postdocs who bridge math and neuroscience and are ready to start junior faculty positions. Attached below is the text of the search advertisement, and details on how to apply. Best regards, Ila --------------- The Departments of Neuroscience and Mathematics at the University of Texas at Austin are seeking a leader in the field of mathematical neuroscience or mathematics applied to neuroscience, for appointment as a tenure-track assistant professor. Areas of interest include, but are not limited to, the intersection of neuroscience with dynamical systems, partial differential equations, algebraic geometry, statistics, information theory, stochastic processes, and applied and computational topology. This search is part of a multi-faculty hiring initiative in Computational and Theoretical Neuroscience at UT Austin -- including a position in Psychology and a joint position between Neuroscience and Computer Science, with the aim of building on existing strengths in the field to create a Computational and Theoretical Neuroscience center. The successful candidate will orchestrate an outstanding program of independent research and contribute to an environment of diversity in higher education through research, teaching, and service. She or he will have joint membership in both departments and teach one course in each department. The position will include full access to the Texas Advanced Computing Center supercomputers, and the option to join various multi-disciplinary advanced computing and neuroscience centers on campus. Qualified applicants with a Ph.D. or equivalent and two or more years of post-graduate experience will be considered for appointment. Applications will be reviewed starting September 5, 2014, until the position is filled. Please submit applications through the MathJobs website: https://www.mathjobs.org/jobs/jobs/6059 <https://www.mathjobs.org/jobs>. A complete application will include: 1. Statement of research interests. 2. Curriculum vita. 3. Letters of reference from at least 3 individuals. 4. Statement of teaching philosophy and experience, with evidence of teaching excellence. UT Austin is an equal opportunity employer committed to excellence through diversity. We strongly encourage applications from all qualified individuals including women and minorities. UT Austin is responsive to the needs of dual career couples and is dedicated to work-life balance through an array of family-friendly policies (http://www.utexas.edu/provost/policies/family/) For further inquires related to this search, please email Kathleen Pantalion (kpantalion(a)mail.clm.utexas.edu <mailto:kpantalion@mail.clm.utexas.edu>). -- ________________________________ Ila Fiete Associate Professor Center for Learning and Memory The University of Texas at Austin Phone: 512.232.8439

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Job Posting: Neuroscience Image Processing Scientist at Northwestern University
by Xue Wang Sept. 9, 2014

Sept. 9, 2014

The Department of Radiology at Northwestern University Feinberg School of Medicine is seeking a full-time Neuroscience Image Processing Scientist. Under the direction of the Medical Director of the Neurological Testing Center and the Director of Neuroimaging Research, the Neuroscience Image Processing Scientist will be responsible for coordinating imaging for use in epilepsy surgery and other functional neurosurgical procedures. Assignments will require close interaction with neuroradiology and neuroimaging collaborators to develop and implement more advanced functional imaging techniques. The primary effort will be focused on the development and implementation of clinical tools; however, there is dedicated time for independent research. Northwestern has very active clinical and research programs in Neurology and Neuroimaging. Imaging resources include 10 clinical and 4 dedicated research high field MRI systems, a PET/CT system, high density EEG and TMS. There is a very active and rapidly expanding Neurosurgery group with strong collaborations with BrainLab, and a supportive clinical environment for research. Candidates should have an MD or PhD in neuroscience, medicine, physics, psychology or a related field, and excellent communication skills. Experience with analysis of structural, diffusion, fMRI including resting state, MEG, PET, SPECT, and EEG data is required. The ability to co-register multi-modality diagnostic (EEG, MEG) studies with SISCOM, MRI, fMRI, DTI and PET studies is a must. Experience in planning stereo EEG electrode placement, surgical guidance, and proficiency with PRISM software, CURRY Neuroimaging Suite, and BrainLab surgical navigation systems, is desired. The position is funded for an initial two-year time period, with a high likelihood of long term employment. Salary is based on the NIH scale and benefits are highly competitive. Position is available on July 1, 2014, and applications will be accepted until the position is filled. Applicants should send curriculum vitae, references and cover letter to: Todd B. Parrish, Ph.D. Department of Radiology 737 N. Michigan Ave, 16th Floor Chicago, IL 60611 toddp(a)northwestern.edu Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States

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2014 SFN Meeting Workshop: NSG Portal for parallel simulations
by Ted Carnevale Sept. 9, 2014

Sept. 9, 2014

What: Using the Neuroscience Gateway Portal for Parallel Simulations A Satellite Symposium at the 2014 Society for Neuroscience Meeting Where: Location to be announced in downtown Washington, DC When: 9 AM - Noon on Saturday, November 15, 2014 Speakers to include: A. Majumdar, S. Sivagnanam, and T. Carnevale Registration deadline: Friday, October 31, 2014 Do you have a large scale modeling project that exceeds the speed or capacity of your local hardware? Have you tried to use high performance computing (HPC) resources at your own institution, but found the process too difficult because of administrative or technical barriers? If yes, this workshop is for you. In a single morning session, you will learn how to use the Neuroscience Gateway Portal (NSG) http://www.nsgportal.org/ which is designed for neuroscientists who need to use HPC resources for large modeling projects. It simplifies every aspect of the process, from getting allocations of free CPU time to uploading your model, launching and monitoring jobs, and downloading results. The NSG already has several parallel simulators installed, including Brian, NEST, NEURON, PGENESIS and PyNN. Space is limited, so sign up quickly. See http://www.neuron.yale.edu/neuron/static/courses/nsg2014/nsg2014.html for further details and the registration form. Support: The NSG project is supported by a grant from the National Science Foundation. NSG provides its users free allocations of CPU time on HPC resources under the auspices of XSEDE (Extreme Science and Engineering Discovery Environment), which is also supported by NSF.

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PhD position in Neurocomputational modeling of language processing
by Hartmut Fitz Sept. 8, 2014

Sept. 8, 2014

A PhD position is available at the Max-Planck Institute for Psycholinguistics in Nijmegen, the Netherlands, within the 'Language in Interaction' consortium. The PhD candidate will participate in a team effort to understand the neurobiology underlying language processing by building computer models for sentence processing based on recurrent networks of spiking neurons. The goal is to develop a model with processing memory based on vector representations of words which are incrementally interpreted in terms of thematic roles ("who did what to whom"). A core objective will be to investigate the computational role of different neuronal models, connectivity types, neurobiologically motivated adaptation mechanisms, and different methods for calibrating the model's read-out units. Closing date: 30 September 2014 For more information see: https://www.languageininteraction.nl/jobs/phd-positions.html https://www.languageininteraction.nl/jobs/id-2nd-phd-call-general.html

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Postdoc opportunity at Stanford in Causal Brain Network Analysis
by Wei Wu Sept. 5, 2014

Sept. 5, 2014

Dear fellow researchers, The Etkin Lab at Stanford University is currently seeking to fill a postdoc position for causal brain network analysis. Please find below the job requirement and contact info. Thank you for your attention! Postdoc opportunity at Stanford in Causal Network Analysis – from Concurrent TMS/fMRI to Transdiagnostic Imaging of Psychiatric Disorders The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a postdoctoral research fellowship focused on causal network analyses using fMRI in healthy individuals and patients with a range of psychiatric disorders. The focus of this position is on application of network analysis tools (e.g. graph theory, network-based statistics, etc) to fMRI data, including both causal circuit mapping experiments with concurrent transcranial magnetic stimulation (TMS) and fMRI, as well as resting-state data from patients across the mood, anxiety and stress disorders represented, and across the lifespan. The successful applicant will have a PhD in Cognitive Neuroscience, Neurophysiology, Psychology, Computer Science, Statistics or related fields. Experience with analysis of fMRI data or with causal network analysis tools is required. Additional programming experience is a plus. Duties will also include manuscript preparation, presentation of findings at conferences, management of research assistants and contribution to the preparation of grants. Laboratory and Stanford resources include research-dedicated 3T and 7T MRI scanners, concurrent TMS/fMRI setups and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and three letters of recommendations, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford University amitetkin(a)stanford.edu

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New software for neuronal model fitting
by Szabolcs Káli Sept. 5, 2014

Sept. 5, 2014

Dear Colleagues, We are pleased to announce the availability of the first public (beta) version of Optimizer, an interactive software tool for fitting the parameters of neuronal models. Optimizer was developed in Python, and has the following main features: - efficiently fits the free parameters of arbitrary neural (or other) models using advanced nonlinear optimization algorithms - all aspects of the optimization problem (including the model, its free parameters, the target data, the simulation and recording protocol, the error function) and the fitting process itself can be conveniently controlled from a graphical user interface (GUI) - full internal support for models implemented in the Neuron simulator (while other models can be also optimized using a "black box" approach) - choice of 7 different (tunable) optimization algorithms, including a customized evolutionary (genetic) algorithm, differential evolution, simulated annealing, the basinhopping algorithm, random search, and two local search methods - choice of 11 different error functions for the comparison of simulated and experimental (target) data, including generic ones as well as several feature-based ones which are appropriate for the comparison of membrane potential traces containing action potentials; error functions can be combined with arbitrary weights - the software is easily extensible in various ways to support novel scenarios A paper describing the software, several use cases, and comparisons with other model fitting tools, has been recently published in Frontiers in Neuroinformatics (the abstract and citation details are included at the end of this message): http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00063/abstract The software can be downloaded using git from https://github.com/vellamike/optimizer where you can also find instructions for installing the software and its dependencies. The current version of Optimizer has been verified to work under several recent Linux distributions. Alternatively, a compressed archive containing the software and various examples can be downloaded from https://github.com/vellamike/optimizer/releases/tag/v2.0-beta The documentation of the software is available at http://optimizer.readthedocs.org/en/latest/ Finally, we wish to encourage everyone interested in fitting neuronal models to try the software and provide feedback. If you find that your favorite optimization algorithm or error function is not currently included in Optimizer, it can probably be added with relatively little effort, especially given an existing implementation of the algorithm or function itself, and we would be very interested in collaborating on such an extension. We are also interested in learning about the model fitting problems encountered by potential users; we would be happy to advise users on whether and how Optimizer may be used to solve particular problems; in addition, future development of the software will be guided by the feedback that we receive. Best regards, Szabolcs Káli and Péter Friedrich Friedrich P, Vella M, Gulyás AI, Freund TF and Káli S (2014) A flexible, interactive software tool for fitting the parameters of neuronal models. Front. Neuroinform . 8 :63. doi: 10.3389/fninf.2014.00063 Abstract: The construction of biologically relevant neuronal models as well as model-based analysis of experimental data often requires the simultaneous fitting of multiple model parameters, so that the behavior of the model in a certain paradigm matches (as closely as possible) the corresponding output of a real neuron according to some predefined criterion. Although the task of model optimization is often computationally hard, and the quality of the results depends heavily on technical issues such as the appropriate choice (and implementation) of cost functions and optimization algorithms, no existing program provides access to the best available methods while also guiding the user through the process effectively. Our software, called Optimizer, implements a modular and extensible framework for the optimization of neuronal models, and also features a graphical interface which makes it easy for even non-expert users to handle many commonly occurring scenarios. Meanwhile, educated users can extend the capabilities of the program and customize it according to their needs with relatively little effort. Optimizer has been developed in Python, takes advantage of open-source Python modules for nonlinear optimization, and interfaces directly with the NEURON simulator to run the models. Other simulators are supported through an external interface. We have tested the program on several different types of problems of varying complexity, using different model classes. As targets, we used simulated traces from the same or a more complex model class, as well as experimental data. We successfully used Optimizer to determine passive parameters and conductance densities in compartmental models, and to fit simple (adaptive exponential integrate-and-fire) neuronal models to complex biological data. Our detailed comparisons show that Optimizer can handle a wider range of problems, and delivers equally good or better performance than any other existing neuronal model fitting tool.

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Job/Fellowship Opportunity: Big Data IT Management and Automation in NeuroMorpho.Org
by Rubén Armañanzas Sept. 4, 2014

Sept. 4, 2014

George Mason University, Krasnow Institute for Advanced Study in Fairfax, VA (USA), invites applications for a full-time doctoral student graduate research assistant position available immediately in the Center for Neural Informatics, Structures, and Plasticity (krasnow1.gmu.edu/cn3) headed by Prof. Giorgio Ascoli. To be considered for this position, applicants must apply to the PhD program in Bioengineering at George Mason University (http://volgenau.gmu.edu/doctoral-degrees) following the instructions below. The successful applicant will join a collaborative multidisciplinary team at the cutting edge of the development and dissemination of digital tools and resources for neuroscience. The Ascoli Lab is funded by the National Institutes of Health, the National Science Foundation, the Office of Naval Research, the Air Force Office of Scientific Research, the Intelligence Advanced Research Projects Activity, and Keck. This position is particularly suited for computationally minded researchers seeking exposure to the burgeoning field of big data in neuroinformatics. The candidate will join the NeuroMorpho.Org project -- a free, public, centralized repository of neuronal digital reconstructions. NeuroMorpho.Org has firmly established itself as a powerful resource for the neuroscience community, with millions of downloads and data usage in over 200 publications by other labs since its 2006 public release. Its version 5.7 contains over 148,000 internal data files pertaining to more than 11,000 neuronal reconstructions contributed by 144 laboratories worldwide from 24 species and 95 brain regions. The pre-doctoral fellow will work within the CN3 research group and will be tasked with a variety of activities including design of new Information Technology (IT) solutions to enhance the performance of existing software and hardware infrastructure. Due to the growing pace of the field, the recipient will be also responsible for tuning and implementing the next generation support for Big Data handling of digital neuronal reconstructions. Desired qualifications include: 1. proficiency in C/C++, Java and Python; 2. experience in Unix/Linux server administration; MySQL design and administration; web technologies and API web services; content management systems; and 3. a BS/MS in Computer Science, Information/Systems/Software Engineering or a similar field. Knowledge in task analysis automation and interest in neuroscience are a plus. The position includes a $22,000/year 12 months-stipend (20 hours/week during academic year, 40 hours/week during summer) in addition to health insurance and up to 18 credits per year of tuition coverage in the Volgenau school of Engineering. To apply, please follow the PhD application instructions (http://volgenau.gmu.edu/how-to-apply) Include the wording "/Neuroinformatics fellowship in Prof. Giorgio Ascoli's lab/" in both your research/interest statement and cover letter. After submitting the application material, please also forward a copy of your resume, research/interest statement, and cover letter directly to ascoli(a)gmu.edu <mailto:ascoli@gmu.edu> with subject "Bioengineering PhD candidate". Beyond the frontiers of neuronal types

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Postdoctoral position at the University of Pittsburgh
by Brent Doiron Sept. 3, 2014

Sept. 3, 2014

Applications are invited for a Simons foundation funded postdoctoral position(s) in the Mathematics and Neuroscience departments of the University of Pittsburgh. The project will involve the collection, analysis, and modeling of large-scale multi-unit recordings from cortex, with an emphasis on understanding how visual attention modulates neural response. Of specific interest is elucidating the neural mechanisms that underlie the control of neural variability, as well as its consequences on neural function. Successful candidates will either be members of the working group of Dr. Brent Doiron and will be in tight collaboration with the Dr. Marlene Cohen, or vice versa, depending on the fit of the applicant. Theoretical candidates should expect to be members of the Doiron group, while candidates with an experimental focus would be in the Cohen group. Please visit www.math.pitt.edu/~bdoiron and www.cohenlab.com for a list of recent work from the Doiron and Cohen groups. The successful candidate(s) will be integrated into the Center for the Neural Basis of Cognition (http://www.cnbc.cmu.edu) a large and vibrant community of neuroscientists spanning many departments across the University of Pittsburgh and Carnegie Mellon University. The position is funded for several years, with an initial one-year appointment and an expectation of extension to at least three years, given satisfactory performance. The salary is competitive, and the start date is negotiable (January 2015 is optimal). Applicants with a PhD in Mathematics, Applied Mathematics, Neuroscience, Statistics, Biology, Psychology or a related discipline, and ideally with experience in computing, computational neuroscience, statistical analysis, or in vivo recording should send a CV including a list of publications, a research statement, and reference contact information to bdoiron(a)pitt.edu The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer, and women and members of minority groups under-represented in academia are especially encouraged to apply. -- Associate Professor of Mathematics Center for the Neural Basis of Cognition University of Pittsburgh 301 Thackeray Hall Pittsburgh, PA, 15260 www.math.pitt.edu/~bdoiron

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Tenure Track Faculty Position in Neuroscience at Rutgers University - Newark
by Bart Krekelberg Sept. 3, 2014

Sept. 3, 2014

The Center for Molecular & Behavioral Neuroscience (CMBN) at Rutgers University seeks outstanding candidates for a tenure track Assistant Professor position in NEUROSCIENCE. Applicants should hold a Ph.D. degree in Neuroscience or a related field and have completed at least two years of post-doctoral training. The ideal candidate for this position asks fundamental hypothesis-driven questions about brain structure and function and is open to establishing collaborative research efforts within the Rutgers neuroscience community. Research areas of particular interest are executive control, sensory-motor integration, learning and memory, and emotional regulation. The successful applicant will likely use a broad range of experimental approaches in non-human primates, humans, and/or rodents, and methods including electrophysiology, optogenetics, and functional imaging. The assistant professor will be expected to maintain an active externally-funded research program, to teach undergraduate and graduate courses in neuroscience, and to mentor Ph.D. students in the Behavioral and Neural Sciences program. Rutgers, The State University of New Jersey, is a leading national public research university and the state's preeminent, comprehensive public institution of higher education. Rutgers is dedicated to conducting research that breaks new ground; to teaching that meets the highest standards of excellence; and to providing services, solutions, and clinical care that help individuals and the local, national, and global communities where they live. CMBN is located in Newark NJ, a short drive from New York City. CMBN is part of a large community of neuroscientists at Rutgers Newark, with additional researchers in the Departments of Biological Sciences and Psychology as well as in the Rutgers University New Jersey Medical School. Collectively, these researchers represent all levels of analysis in neuroscience (http://www.neuroscience.newark.rutgers.edu) Applicants should apply as soon as possible, but no later than 10/20/2014. Rutgers is an Equal Opportunity/Affirmative Action Employer and has a strong commitment to diversity. Women and members of underrepresented minorities are especially encouraged to apply. Rutgers-Newark is noted for its exceptionally diverse student population. To receive detailed instructions on how to apply, please send an email to search(a)cmbn.rutgers.edu with the subject line 'How to apply'. --- Bart Krekelberg, PhD Associate Director, Center for Molecular and Behavioral and Neuroscience Associate Director, Rutgers Brain Imaging Center Associate Professor, Rutgers University Newark, NJ 07102 USA T: 973 353 3602 W: vision.rutgers.edu E: bart(a)vision.rutgers.edu

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IWSYP’14 - I International Workshop on Synaptic Plasticity
by Thiago Matos Pinto Sept. 3, 2014

Sept. 3, 2014

Dear colleagues, Please see the information below about an upcoming workshop on synaptic plasticity. Best wishes, Thiago *** I International Workshop on Synaptic Plasticity - IWSYP’14 *** University of São Paulo, Ribeirão Preto, São Paulo State, Brazil Workshop dates: September 8th - 9th 2014 Organizers: Thiago Matos Pinto and Antonio Roque Participation is free of charge! This workshop is a satellite event of the XXXVIII Annual Meeting of the Brazilian Society for Neuroscience and Behavior (SBNeC), which will be held on September 10-13 in Búzios, Rio de Janeiro. The SBNeC meeting will also feature big names in Neuroscience, and will be a preparatory event for the 9th World Congress of the International Brain Research Organization (IBRO), which will take place in Rio de Janeiro in 2015. Confirmed speakers: Chris De Zeeuw (Erasmus Medical Center, Rotterdam, The Netherlands & Netherlands Institute for Neuroscience, Amsterdam, The Netherlands) Freek Hoebeek (Erasmus Medical Center, Rotterdam, The Netherlands) Reinoud Maex (École Normale Supérieure, Paris, France) Ricardo Leão (University of São Paulo, Ribeirão Preto, Brazil) Thiago Matos Pinto (University of São Paulo, Ribeirão Preto, Brazil) Gabriela Antunes (University of São Paulo, Ribeirão Preto, Brazil) Giseli de Sousa (Federal University of Santa Catarina, Florianópolis, Brazil) Cleiton Lopes Aguiar (University of São Paulo, Ribeirão Preto, Brazil) Renan Oliveira Shimoura (University of São Paulo, Ribeirão Preto, Brazil) Bruna Lanzillotta de Mattos (Fluminense Federal University, Niterói, Rio de Janeiro State, Brazil) Luana Chagas (Fluminense Federal University, Niterói, Rio de Janeiro State, Brazil) Querusche Zanona (Federal University of Rio Grande do Sul, Brazil) Fabiana Santana (Federal University of Rio Grande do Sul, Brazil) We look forward to seeing you in Ribeirão Preto. With best wishes, Thiago Matos Pinto, IWSYP'14 Organizer

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Faculty positions in Computer Science at American University
by Mark Laubach Sept. 2, 2014

Sept. 2, 2014

American University, College of Arts & Sciences, Department of Computer Science Computer Science (Assistant, Associate or Full Professor) The Department of Computer Science in the College of Arts and Sciences at American University in Washington, DC invites applications for up to three tenure-track or tenured Assistant/Associate/Full Professors to form a collaborating research team. We seek either a group of researchers who will be hired together, or a senior individual with a vision for filling the other positions. The team’s research expertise may be in any area of computer science. Following the department’s strong recent hires in the interdisciplinary areas of computational neuroscience and persuasive gaming, the university seeks to build computer science’s core program areas, which may include algorithms and data structures, architecture, robotics, databases and information retrieval, human-computer interactions, numerical and symbolic computation, operating systems, programming languages, or software methodology and engineering. Preference will be given to teams or visions that contribute to more than one of the core program areas, and that contribute to the university’s capacity in the area of big data. The Computer Science Department is currently in a period of expansion, and is poised to become a leader in the university’s technology an innovation sectors. To support this trajectory, the department will soon be moving to a new building that is designed to promote inspiration, collaboration, creation and cultivation. QUALIFICATIONS All applicants should have a strong record of (or potential for) externally sponsored research. We are especially eager to recruit candidates with established research partnerships (or the ability to form such partnerships) in the Washington, DC area. Candidates should also have a record of excellence in teaching and mentoring students. Teaching responsibilities will include core courses in computer science and more advanced courses in the applicant’s area of specialty. The Ph.D. in Computer Science or a closely related field is required; post-doctoral or industry experience is preferred. At least one appointment will be at a senior level with tenure. Preference will be given to senior candidates who are able and willing to lead the department, including (but not limited to) the development of a Ph.D. granting program. APPLICATION INSTRUCTIONS Applicants should include a statement (a joint statement for team applications) of research outlining the research focus (or foci) and future plans for developing a nationally competitive, externally funded research program at American University. In addition to a (joint, if applicable) research statement, each applicant should include statements of individual research and teaching experience, a CV, and the names of three references not in the proposed team. Please submit applications via: http://apply.interfolio.com/25813. Review of applications will begin November 3 and continue until the position is filled.

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Postdoc position available
by Olaf Sporns Sept. 2, 2014

Sept. 2, 2014

*Computational Cognitive Neuroscience Lab - Indiana University* *Postdoctoral Fellowship* Applications are invited for an open position as postdoctoral fellow in the Computational Cognitive Neuroscience Lab, Department of Psychological and Brain Sciences, Indiana University Bloomington. The core research focus of the lab is in the area of brain networks and connectomics. The lab works on anatomical and functional data sets from a number of species, with a strong emphasis on human brain connectivity and connectome data. Ongoing projects in the lab involve applications of models and tools from network science, graph theory, complex dynamics and information theory to basic and clinical/translational neurobiological questions. A description of the lab and current research areas can be found at www.indiana.edu/~cortex <http://www.indiana.edu/%7Ecortex> . Applicants should (a) have (or be in the final stages of obtaining) a PhD or equivalent degree in a field relevant to the research focus of the lab (e.g. neuroscience, neuroimaging, applied mathematics, computer science or bioengineering); (b) have a strong background in computational methods and programming (including advanced skills in Matlab); and (c) have strong enthusiasm for using computational approaches to understand neurobiological problems. Candidates with background in networks or graph theory, experience in processing and analyzing neuroimaging or electrophysiological recordings, exposure to "big data" approaches relevant to brain function, and a strong record of publication are especially encouraged to apply. The postdoctoral fellow will join a very active and interdisciplinary research group, and will be expected to engage and interact with a growing number of network and complex systems scientists at Indiana University and beyond. The lab maintains close ties and collaborations with scientists in the IU Imaging Research Facility (housing a 3T Siemens MR scanner), the Center for Complex Networks and Systems at the School of Informatics and Computing, the Medical School campus, and at other institutions nationally and internationally. All lab members have access to excellent computational facilities. The potential start date is negotiable, and the position is initially offered for a 1-year term which is renewable upon mutual agreement.Salary levels will follow NIH guidelines. Please email application materials (cover letter, a full CV with a list of publications, and 3 letters of reference) to Olaf Sporns at osporns(a)indiana.edu <mailto:osporns@indiana.edu> . -- Olaf Sporns -- @spornslab Department of Psychological and Brain Sciences Programs in Neuroscience and Cognitive Science Indiana University Bloomington, IN 47405

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NIPS 2014 - Final Call for Demonstrations
by Hugo Larochelle Sept. 2, 2014

Sept. 2, 2014

The Neural Information Processing Systems Conference 2014 http://nips.cc/Conferences/2014/ has a Demonstration Track running in parallel with some of the evening Poster Sessions, December 8-11, 2014, in Montreal, Quebec, Canada. Demonstration Proposal Deadline: Monday September 15, 2014, 11pm Universal Time (4pm Pacific Daylight Time). http://nips.cc/Conferences/2014/CallForDemonstrations Demonstrations offer a unique opportunity to showcase: - Hardware technology - Software systems - Neuromorphic and biologically-inspired systems - Robotics or other systems, which are relevant to the technical areas covered by NIPS (see Call for Papers http://nips.cc/Conferences/2014/CallForPapers) Demonstrations must show novel technology and must be run live, preferably with some interactive parts. Unlike poster presentations or slide shows, live action and interaction with the audience are critical elements. Submissions: Submission of demo proposals at the following URL: https://nips.cc/Demonstrators/ You will be asked to fill a questionnaire and describe clearly: - the technology demonstrated - the elements of novelty - the live action part - the interactive part - the equipment brought by the demonstrator - the equipment required at the place of the demo Evaluation Criteria: Submissions will be refereed on the basis of technical quality, novelty, live action, and potential for interaction. Demonstration chair: Hugo Larochelle <demonstration-ch...(a)lists.nips.cc<http://lists.nips.cc>> http://nips.cc/Conferences/2014/CallForDemonstrations

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Open Postdoc Position in Brain-Computer Interfaces
by Michael Tangermann Sept. 2, 2014

Sept. 2, 2014

Dear colleagues, may I ask you to please circulate the following job offer in your labs and email lists? Thanks a lot and best greetings from Freiburg, Michael OPEN POSITION FOR A POSTDOCTORAL FELLOW: ======================================== Type: Postdoc Position Topic: Brain-Computer Interfaces in Cognitive Rehabilitation after Stroke (speech & attention deficits) Where: BrainStateDecoding lab of Dr. Michael Tangermann (Computer Science Dept., University of Freiburg, Germany) When: ideal start before November 2014; duration: 12 months+ Further information: http://www.bsdlab.uni-freiburg.de/jobs (Please apologize for cross-posting) --- Dr. Michael Tangermann Phone: +49.(0)761.2038423 Fax : +49.(0)761.2038417 University of Freiburg BrainLinks-BrainTools Excellence Cluster Brain State Decoding Lab Albertstr. 23, Room 0.003 79104 Freiburg, Germany http://www.bsdlab.uni-freiburg.de

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Fwd: Register Today for the IPEG-Meeting
by Martijn Arns Sept. 2, 2014

Sept. 2, 2014

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Multiple job listings in Brain-Inspired Computing at IBM Research - Almaden
by John Arthur Sept. 2, 2014

Sept. 2, 2014

IBM’s Brain-Inspired Computing team at IBM Research - Almaden is building a first-of-a-kind modular, scalable, non-von Neumann, ultra-low power, cognitive computing architecture and associated end-to-end ecosystem. We are building state-of-the-art digital spiking neuromorphic Application Specific Integrated Circuits (ASICs) and systems (large-scale and mobile) to solve real-time sensory problems. We have a number of positions in hardware, software, and other technical areas. http://modha.org/blog/2014/08/jobs_braininspired_computing.html To receive full consideration, please apply using the links below to ensure your resume/CV will be directed to the appropriate hiring manager. RES-0683225 Research Staff Member-ASIC and System Design https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683225 RES-0683232 Research Staff Member-Software and Applications https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683232 RES-0683057 Research Staff Member-Software and Applications https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683057 RES-0683578 Research Staff Member-Scalable Systems / Supercomputing Architect https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683578 RES-0683223 Hardware and Systems Engineer https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683223 RES-0683215 Systems Software Engineer https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683215 RES-0683211 Systems Software Engineer https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683211 RES-0683583 Software Engineer: Tools and Programming Languages https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683583 RES-0683592 Development & Delivery Engineer https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683592 RES-0683593 Software Trainer / Coach https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683593 RES-0683227 Technical Writer/Archivist https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683227

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3 open PhD psoitions at the Neuroinformatics Lab at the Institute of Cognitive Science, University of Osnabrück, Germany [Reminder]
by Gordon Pipa Sept. 1, 2014

Sept. 1, 2014

The Neuroinformatics Research Group (Prof. Dr. Gordon Pipa) of the Institute of Cognitive Science invites applications for 3 Research Assistants (PhD student level), (Salary level E 13 TV-L 50%) to be filled as soon as possible for a period of three years. The position allows for further scientific qualification. We invite applicants that are interested in research in Neuroinformatics, with an emphasis on dynamical systems, machine learning, virtual reality, computational linguistics and electrophysiology. Candidates will participate in a highly international PhD program on cognitive science (with >40 currently enrolled students) and interdisciplinary research projects that can involve cooperation with other disciplines of our institute. Candidates should be highly motivated to understand the structure of neuronal coding and neuronal representations. To study this, we involve different research strategies that range from the development of highly sophisticated data analysis strategies, to modelling of neuronal processes on the level of recurrent networks. The qualification profile of the candidates can range from a purely mathematical neuroscientist, a dynamical systems researcher to interdisciplinary candidates that share interest in performing experiments with the virtual reality combined with EEG and sophisticated machine learning-based analysis of recorded activity (at http://ikw.uni-osnabrueck.de/en/ni/publications you find an overview of recent research topics). Description of Responsibilities: The successful candidate will be involved in several research projects that range from BSc to MSc projects. The position also involves teaching Cognitive Science courses at BSc and MSc level (2 hours/week). Required Qualifications: Candidates are expected to have an excellent academic degree (Master/diploma). Applicants should have an excellent knowledge in the field of machine learning, i.e. generalized linear and state space models, kernel methods, reservoir computing and deep learning. Experience or a strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and the concepts to study these, i.e. bifurcation and stability analysis, and delay- coupled differential equations, measurements of complexity, are encouraged. Experience or a strong interest in experimental methods such as EEG, and virtual reality are highly welcome. In addition, a strong interest or experience in the estimation of causal interactions from time series is welcome. As a certified family-friendly institution, Osnabrück University is committed to furthering the compatibility between work/studies and family life. As an employer, Osnabrück University is particularly concerned with creating equal opportunities for women and men. Women with relevant qualifications are therefore strongly encouraged to apply for the position. Preference will be given to women with equal qualifications. Furthermore, qualified applicants with disabilities will be favored. Applications with the usual documentation, including two letters of recommendation, should be submitted by e-mail in a single PDF file to the Director of the Institute of Cognitive Science (office(a)ikw.uni-osnabrueck.de) no later than 08.09.2014. An electronic copy should be sent to Prof. Dr. Gordon Pipa (gpipa(a)uni-osnabrueck.de) who can also be contacted for further information. ---------------------------------------------------------------------------- --- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 31/404 University of Osnabrueck Albrechtstr. 28, 49069 Osnabrueck, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de <http://www.ni.uos.de/> Projects: http://www.pipa.biz/Projects_and_Lectures/projects_and_lectures.html research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act google scholar: http://scholar.google.de/citations?user=joR6mgEAAAAJ Personal Assistent and Secretary of the Neuroinformatics lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS <https://twitter.com/>

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Tenure Track Assistant Professot in Theoretical and Computational Neuroscience
by Liu, Robert C Sept. 1, 2014

Sept. 1, 2014

Tenure Track Assistant Professor in Theoretical and Computational Neuroscience. The Department of Biology in the Emory College of Arts and Science is seeking applications for a tenure-track position in theoretical and computational neuroscience. Current computational neuroscience research at Emory is anchored in the Department of Biology (http://www.biology.emory.edu<http://http/www.biology.emory.edu/>) and is grounded in experimental preparations and neurobiological questions (http://compneurosci.college.emory.edu) The ideal candidate would be a theorist who bridges into experimental data analysis in systems neuroscience. Innovative approaches to understanding principles of neural coding, neural dynamics, learning, memory, and behavior are of particular interest. The successful candidate is anticipated to have a PhD and postdoctoral experience in a quantitative science, and is expected to contribute to the Biology Department's teaching mission in the context of programs in quantitative theory and methods (http://quantitative.emory.edu) and neuroscience (http://www.nbb.emory.edu) Interactions with experimentalists and other theorists within Emory's rich, collaborative neuroscience community are encouraged. Emory has more than 120 laboratories participating in graduate programs in Neuroscience (http://biomed.emory.edu/PROGRAM_SITES/NS/) and Biomedical Engineering (http://www.bme.emory.edu) and spanning Emory College (Biology, Psychology, Physics, Anthropology), School of Medicine, Yerkes National Primate Research Center and Georgia Institute of Technology. Applications should include a curriculum vitae, a research statement, a teaching statement and three confidential reference letters. Applications and reference letters must be electronically uploaded through Interfolio at http://apply.interfolio.com/25348<http://go.toutapp.com/ecca7f39a80cf3c11e>. The deadline for applying is December 1, 2014; applications received after this date are not guaranteed full consideration. Emory University is an Equal Opportunity/Affirmative Action/Disability/Veteran employer. Women, minorities, persons with disabilities and veterans are encouraged to apply. Robert C. Liu Associate Professor Winship Distinguished Research Professor Emory University Department of Biology Rollins Research Center 1510 Clifton Road NE, Room 2131 Atlanta, GA 30322 Phone: (404) 727-5274 Fax: (404) 727-2880 Email: robert.liu at emory.edu Website: http://www.biology.emory.edu/research/Liu/html/index.php This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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BRAIN-FETs 2014: 1st Clustering Workshop on Future Emerging NeuroTechnologies, 16-17 Oct 2014, Genova (Italy)
by Giugliano Michele Sept. 1, 2014

Sept. 1, 2014

APOLOGIES FOR CROSS-POSTING Dear Colleagues, Michele Giugliano (U Antwerpen) and Luca Berdondini (Italian Institute of Technology) are organising the 1st Clustering Workshop on Future Emerging NeuroTechnologies<http://www.brainfet.eu>, to be held on 16th-17th October 2014, in Genova (Italy)<http://www.brainfet.eu/travel-info/venue.html>. This workshop aims at clustering a relatively small subset of the European FET community, particularly active on Brain inspired ICT, Neurotechnologies, novel materials, and computational approaches. It is a unique opportunity to learn about ongoing research and to critically contribute in designing next steps in FETs, successfully facing the many challenges that await. The cluster of EC-funded projects who organize the event (see the workshop flyer<http://ec.europa.eu/information_society/newsroom/cf/dae/document.cfm?doc_id…> for the list), is characterized by common efforts, integrating innovative developments on future emerging technologies applied to Neuroscience, and qualified by a synergy among diverse experimental, computational, and engineering approaches. The format of the workshop consists in a two-days event and in a networking evening. Participants from EC-funded Projects are welcome to present their research in a poster session and to meet colleagues with a heterogeneous background and from all over Europe. Interested? Register as soon as possible by filling and submitting the online application form<http://www.brainfet.eu/registration.html>. Admission will be limited to the first 150 participants. The conference registration fee, covering coffee breaks, lunches and the social dinner is: 100 EUR/person. Thanks for your attention, -- Michele Giugliano, PhD Dept. of Biomedical Sciences University of Antwerp Campus Drie Eiken (CDE) - D.T.657 Universiteitsplein 1, B-2610 Wilrijk (Belgium) url: http://www.ua.ac.be/michele.giugliano

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