- Comp-neuro - lists.cnsorg.org

Postdoc
by Pestilli, Franco Sept. 1, 2015

Sept. 1, 2015

Dear Community, We are looking for a talented individual to work on a large-scale neuroimaging project funded by the Indiana CTSI<https://www.indianactsi.org/>. The project aims at applying cutting-edge neuroimaging and connectomics methods (Pestilli et al., Nature Methods 2014<http://www.nature.com/nmeth/journal/v11/n10/abs/nmeth.3098.html>; Mišić et al., Neuron 2015<http://www.cell.com/neuron/abstract/S0896-6273(15)00474-2>) on the latest generation of data from Indiana Alzheimer Disease Center<http://iadc.medicine.iu.edu/>. The project is a collaboration between groups at Indiana <https://www.indiana.edu/> University Bloomington<https://www.indiana.edu/> (Franco Pestilli and Olaf Sporns), Indiana University School of Medicine, Indianapolis (Andrew Saykin, Li Shen, and Yu-Chien, Wu) and Purdue University, Lafayette (Joaquin Goñi). The team has strong expertise in aging and Alzheimer’s disease, imaging genetics, network science, magnetic resonance imaging measurements and computational modeling. The ideal candidate will have a PhD in Computer Science, Engineering, Neuroscience, Informatics or Cognitive Science. Strong programming skills (e.g., in Python, MATLAB, or C/C++) and previous background in neuroimaging, computational modeling, or machine learning will be highly valued. The project will involve developing and publishing software products as well as contributing to ongoing software projects such as: https://francopestilli.github.io/life and https://sites.google.com/site/bctnet/. Preference will be given to candidates demonstrating successful productivity by means of scientific articles and software publishing. Interested candidates should send CV, statement of research interests, and names of three references to Dr. Franco Pestilli franpest(a)indiana.edu<mailto:franpest@indiana.edu>. Review of the applications will start immediately and continue until the position is filled. Dr. Pestilli and Professor Sporns will be available at SfN in Chicago for informal meetings with potential candidates. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, national origin, disability status or protected veteran status. Best regards, Franco Franco Pestilli, PhD Assistant Professor Psychology<http://psych.indiana.edu/>, Neuroscience<http://www.indiana.edu/~neurosci/> and Cognitive Science<http://www.cogs.indiana.edu/> Indiana Network Science Institute<http://iuni.iu.edu/> 𝞇 Indiana University, Bloomington<http://www.iub.edu/>, IN 47405<http://goo.gl/0uVOc8> francopestilli.com<http://www.francopestilli.com/> | franpest(a)indiana.edu<mailto:franpest@indiana.edu> Phone: +1 (812) 856 9967

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open positions in machine learning and computational neuroscience
by Turaga, Srinivas C Sept. 1, 2015

Sept. 1, 2015

The Turaga Lab is looking for exceptional postdoctoral researchers and programmers (and graduate students!) for research at the intersection of machine learning and neuroscience. https://www.janelia.org/lab/turaga-lab With recent technological advances in 3d electron microscopy, optogenetics and large-scale chronic in vivo neural imaging, it is now possible to measure and perturb the activity of large populations of neurons, and to map their connectivity. These new data can be used understand how the structure of a neural circuit gives rise to its function. Our lab develops machine learning algorithms to map neural connectivity, and statistical models to characterize neural activity and to relate activity to connectivity. We have pioneered the use of deep-learning based machine learning algorithms to map neural connectivity from 3d electron microscopic images of brain tissue, and we are now working to improve these methods. This involves solving interesting new problems in structured prediction, active learning and unsupervised learning at an unprecedented scale (imagine working with labeled training datasets with 10^9 examples in a 10^6 dimensional feature space and wanting to achieve accuracies of 99.999%!). We are also developing novel statistical methods to analyze large-scale calcium imaging datasets. This is with an eye towards combining such large-scale activity measurements with structural connectomes in order to relate neural activity to neural connectivity with statistical and mechanistic models. HHMI's Janelia Research Campus is a unique, world-class research community near Washington, D.C. dedicated to understanding the function of neural circuits and developing synergistic imaging technology. Our highly collaborative structure is designed to support interdisciplinary work in small lab groups. We seek candidates who are comfortable with risk and are able to think independently to develop novel approaches. Applicants should have a strong quantitative background with degrees or expertise in machine learning, computational neuroscience, applied mathematics, physics or related discipline. Excellent collaborative programming skills in Python, C/C++, Java or similar languages are essential. To apply, please send a CV and names and addresses of 2-3 references by email to Dr. Srini Turaga, turagas(a)janelia.hhmi.org.

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SFN 2015 Workshop: high performance computing via Neuroscience Gateway
by Ted Carnevale Sept. 1, 2015

Sept. 1, 2015

What: Workshop on the Neuroscience Gateway Portal (NSG, http://www.nsgportal.org) When: 9AM - Noon on Saturday, October 17, 2015. Registration deadline: Friday, October 2, 2015. Where: Downtown Chicago (exact location announced to registrants) Speakers: Amit Majumdar, Subha Sivagnanam, Padraig Gleeson, Simon Rothmeier, Ted Carnevale, Alex Peyser, Hannah Bos. Agenda: Downloadable from http://www.nsgportal.org/workshop.html Why: If you have, or plan to start, a research project that involves computationally intensive modeling or data analysis, you should know about NSG. NSG is being developed with support from NSF to make it easy for neuroscientists to use high performance computing (HPC) resources in their research. Some of NSG's advantages: * Quick and easy account application and approval. * Free computing time. No cost to your account budget! * Simple user interface for uploading data, running simulations or data analysis tasks, and downloading results * Installed software includes MOOSE, GENESIS 3, NEST, NEURON, PyNN, the Freesurfer Software Suite, and the Virtual Brain Empirical Data Pipeline For more information or to sign up, see http://www.neuron.yale.edu/neuron/static/courses/nsg2015/nsg2015.html or contact Ted Carnevale [ted dot carnevale at yale dot edu] or Amit Majumdar [majumdar at sdsc dot edu]

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Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of retinal electrophysiology in response to visual stimulation, with specific expertise in deep learning and sparse learning BC: 71326 - 71327
by Diego Sona Aug. 31, 2015

Aug. 31, 2015

Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of retinal electrophysiology in response to visual stimulation, with specific expertise in deep learning and sparse learning BC: 71326 - 71327 Fondazione Istituto Italiano di Tecnologia – IIT – was established by the Italian government to promote technological development and training in the scientific and technological field. Toward this end, IIT is implementing a detailed scientific program, which comprises integration across fundamental research and application. IIT’s research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible application from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies. One postdoctoral position in Computer Vision, Pattern Recognition and Machine Learning is available in the department of Pattern Analysis and Computer Vision (PAVIS) at the Istituto Italiano di Tecnologia (IIT) ,Genova, Italy. PAVIS department has consolidated expertise in image processing, computer vision, pattern recognition and machine learning and aims at studying and designing intelligent systems for the analysis and understanding of real-world problems. PAVIS focuses in particular on activities related, but not limited, to surveillance and security, biomedical imaging, and bioinformatics. Project Description The research position is funded by the European project “RENVISION - Retina-inspired ENcoding for advanced VISION tasks” (http://www.renvision-fp7.eu/ <http://www.renvision-fp7.eu/>). The overall aim of the project is to achieve a comprehensive understanding of how the retina encodes complex visual scenes, and to use such insights to develop new computational models of retina and toapply them to high-level computer vision tasks, such as scene categorization and action recognition. The project is highly interdisciplinary, including neuro-engineering, electrophysiology, high-resolution microscopy imaging, computational modelling, data analysis, machine learning and computer vision. RENVISION is funded by the European Commission FP7 Future Emerging Technologies programme, under contract n. 600847. Description of the research The candidate will design novel methodologies and algorithms based on pattern recognition and machine learning techniques, aiming at analysing electrophysiological recordings in response to visual stimulation of retina. The main objective of the research is the discovery/determination of representative and/or discriminative features in retina coding allowing for high-level vision tasks, such as scene categorization and action recognition. To this purpose, deep learning, sparse and dictionary learning approaches are to be considered. Experience and Qualifications We are seeking a self-motivated individual with the ability to take day-to-day responsibility for the progress of the proposed work. The ideal candidate will have a PhD in Computer Science, Mathematics, Electronic Engineering or a closely-related discipline, with competences on machine learning/pattern recognition/computer vision, coupled with a keen interest in neuroscience and biological data processing and analysis. Expertise in deep learning, compressive sensing, and/or dictionary learning is in general preferred. Experience in spiking networks or retinal function will be appreciated while not being a discriminating factor. A strong programming skill is required. Annual salary will depend on research experience and qualification. Closing Date The initial deadline for applications is September 7th , 2015, however please note that the search will continue until appropriate candidates have been identified. How to apply Completed application forms along with a curriculum listing all publications (possibly including pdfs of the most representative ones), names of 2 referees and a research statement (describing previous research experience and outlining its relevance to the above topics) should be sent by email to Prof. Vittorio Murino vittorio.murino(a)iit.it <mailto:vittorio.murino@iit.it> and/or Diego Sona diego.sona(a)iit.it <mailto:diego.sona@iit.it>, quoting PAVIS-PD 71327 – 71326 as reference number. For informal enquiries please write to Prof. Vittorio Murino vittorio.murino(a)iit.it <mailto:vittorio.murino@iit.it> or Diego Sona diego.sona(a)iit.it <mailto:diego.sona@iit.it>. In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow Istituto Italiano di Tecnologia to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of evaluating and selecting candidates in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data, and they will not be communicated to thirds. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Holder. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in its workforce Diego Sona --------------------------------------------------------- Pattern Analysis & Computer Vision (PAVIS) Istituto Italiano di Tecnologia (IIT) Via Morego 30, 16163, Genova, Italy Phone: +39 010 71781 819 E-mail: diego.sona(a)iit.it www.iit.it/pavis.html ---------------------------------------------------------

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Postdoc/PhD Position in Recurrent Neural Network Architectures
by Herbert Jaeger Aug. 31, 2015

Aug. 31, 2015

The department of Computer Science at Jacobs University Bremen (http://www.jacobs-university.de) announces a POSTDOC / PHD RESEARCH POSITION IN MACHINE LEARNING / NEURAL NETWORKS / INTELLIGENT AGENT ARCHITECTURES (full-time, very competitive salary, 3 years, start December 1, 2015 or later) the MINDS research group of Herbert Jaeger (http://minds.jacobs-university.de) The position is created in the European Horizon 2020 integrated project "Neural Computing Architectures in Advanced Monolithic 3D-VLSI Nano-Technologies" (NeuRAM3). The project aim of NeuRAM3 is to design and fabricate a large-scale, highly configurable neuromorphic microchip. Based on spiking, recurrent neural dynamics, the microchip is similar in some ways to IBM's recent TrueNorth neurochip (http://www.research.ibm.com/articles/brain-chip.shtml) However, our project aims significantly further than TrueNorth, and IBM is one of the consortium partners. In particular, novel 3-dimensional chip manufacturing technologies will enable a much more complex and much more flexibly configurable on-chip neural architecture. Within this setting, the MINDS group develops *neural learning algorithms and architectures* which are tailored to the novel opportunities afforded by a 3-dimensional, spiking microchip. This line of research will be carried out in close collaboration with a consortium partner from computational neuroscience (Institute of Neuroinformatics, University Zurich and ETH Zurich). Currently in machine learning approaches of deep learning are attracting much attention. In several ways the research in the MINDS group is *complementary to deep learning*. The latter is grounded in high-precision gradient descent methods for training and can devour extremely large training datasets to learn extremely complex tasks. The price paid is very long training times and a lack of online adaptability. In contrast, *we aim for very fast (even instantaneous) learning, online adaptability and extensibility, robustness against noise and computations with low numerical accuracy*. Such properties will be crucial for the algorithms running on next-generation chipsets for mobile devices – and they are also crucial for biological neural systems. The background philosophy of this research is framed by reservoir computing (http://minds.jacobs-university.de/ESNresearch) and conceptors (http://minds.jacobs-university.de/conceptors) Eligible candidates must have a mindset inclined toward mathematical modeling, fluency in English, plus a solid background in at least one of the following areas: • dynamical systems theory, • signal processing and control, • machine learning, • computational neuroscience, • intelligent agent architectures. Details about the position and the NeuRAM3 project will be gladly supplied by Herbert Jaeger (h.jaeger(a)jacobs-university.de) upon request. Please submit applications by email to Herbert Jaeger. Applicants passing an initial screening will be asked to supply two letters of reference. Applications will be processed as long as the job announmcent is posted online at http://minds.jacobs-university.de/jobs. *Jacobs University Bremen* is Germany's only private university with a full range of academic programs from the natural and social sciences and engineering. Its student body is one of the most international conceivable: more than 100 nations are joined on our beautiful campus. Within its young history of only a little more than 10 years, Jacobs University has climbed to the top in many disciplines in Germany's most important university ranking (http://www.che-ranking.de/cms/?getObject=613&getLang=en) The language on campus is English. ------------------------------------------------------------------ Dr. Herbert Jaeger Professor of Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 Fax (+49) 421 200 49 3215 email h.jaeger(a)jacobs-university.de http://minds.jacobs-university.de ------------------------------------------------------------------

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Update 2: 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016)
by IEEE WCCI 2016 Aug. 31, 2015

Aug. 31, 2015

Dear Colleague, Below please find some updated information about 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016). 2016 IEEE World Congress on Computational IntelligenceVancouver Convention Centre, Vancouver, Canada 25-29 July 2016 www.wcci2016.org*---------------~*******~-------------------* * Paper Submission is now OPEN* *---------------~*******~-------------------* IEEE WCCI 2016 paper submission is now OPEN. All papers should be submitted through the IEEE WCCI 2016 online submission system before the deadline of 15 January 2016. Click here for more information: http://www.wcci2016.org/submission.php *-----~*******~------* * Speakers* *-----~*******~------* World renowned computer scientist and computational theorist, Chair Professor at Harvard University, 2010 Turing Award winner, Professor Leslie Valiant will deliver a keynote at IEEE WCCI 2016. The 2016 IEEE Frank Rosenblatt Award winner, Professor Ronald R. Yager (IEEE Fellow), will receive his award and deliver a keynote at IEEE WCCI 2016. The 2016 IEEE CIS Evolutionary Computation Pioneer Award winner and 2015 IEEE Frank Rosenblatt Award winner, Professor Marco Dorigo (IEEE Fellow), will receive his award and deliver a keynote at IEEE WCCI 2016. *---------~*******~---------* * Best Paper Awards* *---------~*******~---------* IEEE WCCI 2016 will present the Best Overall Paper Awards and the Best Student Paper Awards to recognize outstanding papers published in each of the three conference proceedings (IJCNN 2016, FUZZ-IEEE 2016, IEEE CEC 2016). The awards will be judged by an Awards Committee and the recipient of each award will be given a certificate of the award and a cash prize to be presented during the conference banquet at IEEE WCCI 2016. *--------~****~--------* * Travel Grants* *--------~****~--------* The IEEE Computational Intelligence Society (IEEE CIS) will offer a limited number of travel grants for - Students (undergraduate or graduate students, from any country) - Professional researchers from developing countries who are presenting one or more papers at IEEE WCCI 2016. Click here for more information:http://www.wcci2016.org/sponsors.php *---------~****~---------* * Important Dates* *---------~****~---------* - Special Session & Workshop Proposals Deadline: 15 November 2015 - Competition & Tutorial Proposals Deadline: 15 December 2015 - *Paper Submission Deadline: 15 January 2016* - Paper Acceptance Notification Date: 15 March 2016 - Final Paper Submission & Early Registration Deadline: 15 April 2016 - IEEE WCCI 2016: 25-29 July 2016 For more information on the congress, please visit: [www.wcci2016.org] www.wcci2016.org *Alternatively we can also be reached on the following social media platforms:* - https://www.facebook.com/wcci2016; - https://twitter.com/wcci2016; - http://www.weibo.com/wcci2016; - http://t.qq.com/wcci2016 We look forward to welcoming you in Vancouver next year! Best wishes, Kay Chen Tan and Gary G. Yen 2016 IEEE WCCI General Co-Chairs

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Re: [Comp-neuro] Registration and Abstract submission Brain States Conference
by Bias Watch Aug. 29, 2015

Aug. 29, 2015

Brain States: Characterization and Neuromodulation by DBS Organizers: Rowshanak Hashemiyoon, Veerle Visser-Vandewalle Invited speaker gender ratio: 0 Females / 22 Males Estimated* base rate of females in the field: 20% BiasWatchNeuro rating: 0 out of 3 *Method of estimation: NIH RePORTER with text keyword “DBS”, count number of female first PIs in first 25 results for more information: www.biaswatchneuro.com > From: neuro girl <neurogirl(a)hotmail.com> > > Subject: [Comp-neuro] Registration and Abstract submission Brain States > Conference > > Date: August 27, 2015 3:15:33 AM EDT > > To: "comp-neuro(a)neuroinf.org" <comp-neuro(a)neuroinf.org> > > > > Dear All, > > > > Registration and abstract submission are now open! > > > > Brain States: Characterization and Neuromodulation by DBS > > November 11-13, 2015 in Cologne, Germany. > > > > Interdisciplinary contributions to the study of brain mechanics have > greatly advanced our theories of the neurodynamic operations employed by > the brain. Although the brain exhibits continuous ongoing activity, > variation in the spatiotemporal patterns of activation observed across > different brain regions during rest versus active processing provides > valuable information about functional connectivity and strategies for > information processing. > > > > This conference will explore the most up-to-date theories of normal > brain function and how these processes may be altered to produce > pathological states. Furthermore, it will explore the models and methods > used to describe the proposed neural strategies subserving these different > brain states. > > > > Our list of confirmed speakers include: > > Hagai Bergman (Hebrew University of Jerusalem) > > Peter Brown (University of Oxford) > > Stephan Chabardes (University Hospital Grenoble) > > Alain Destexhe (CNRS) > > Emad N. Eskandar (Massachusetts General Hospital-Harvard Medical School) > > John J. Foxe (Albert Einstein College of Medicine) > > Marc Goodfellow (University of Exeter) > > Anthony A. Grace (University of Pittsburgh) > > Rowshanak Hashemiyoon (University Hospital of Cologne) > > Jens Haueisen (Technische Universität Ilmenau) > > Viktor Jirsa (Aix-Marseille Université /CNRS) > > Jens Kuhn (University Hospital Cologne) > > Fernando Lopes da Silva (University of Amsterdam) > > Andres Lozano (University of Toronto) > > Cameron McIntyre (Case Western Reserve University) > > Christoph M. Michel (University of Geneva) > > Bart Nuttin (KU Leuven) > > Urs Ribary (Simon Fraser University) > > Günter Schiepek (Paracelsus Medical University) > > Wolf Singer (Max Planck Institute for Brain Research) > > Dimitri van de Ville (University of Geneva) > > Veerle Visser-Vandewalle (University Hospital of Cologne) > > Jürgen Voges (Otto-von-Guericke-University Magdeburg) > > We are intentionally limiting attendance in order to ensure a collegial > atmosphere with excellent discussion. > > > > More information can be found on these websites http://bit.ly/1JVElkf > and https://dbs.veomed.net/. > > > > Hope to see you in Cologne! > > > > > > With kind regards, > > Row Hashemiyoon > > > > Rowshanak Hashemiyoon, PhD > > Chief, Behavioral Neurophysiology and Computational Neuroscience > > Klinik für Stereotaxie und Funktionelle Neurochirurgie > > Universitätsklinikum Köln > > Kerpener Str. 62 > > D - 50937 Köln > > Email: row.hashemiyoon(a)uk-koeln.de<mailto:row.hashemiyoon@uk-koeln.de> > > http://www.uk-koeln.de/de/stereotaxie > > > > > > > > > > _______________________________________________ > > Comp-neuro mailing list > > Comp-neuro(a)neuroinf.org > > http://www.neuroinf.org/mailman/listinfo/comp-neuro > >

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PhD studentships in computational neuroscience and machine learning
by Steuber, Volker Aug. 28, 2015

Aug. 28, 2015

Applications are invited for PhD studentships in the Biocomputation Research Group at the Science and Technology Research Institute at the University of Hertfordshire. PhD projects involve the development of computer simulations of neurons and neuronal networks to study information processing in the brain, and/or the application of machine learning techniques to analyse electrophysiological data. More details about our research and a list of potential projects can be found on our homepage (http://homepages.herts.ac.uk/~comqvs/research.html) Applicants should have good computational and numerical skills and an excellent first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Previous experience in neuroscience is not required but would be an advantage. Successful candidates are eligible for a research studentship award from the University (approximately GBP 13,800 per annum bursary plus the payment of the standard UK student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 55% of the research submitted being rated as world leading or internationally excellent. The Science and Technology Research Institute provides a very stimulating environment, offering a large number of specialized and interdisciplinary seminars as well as general training opportunities. The University of Hertfordshire is situated in Hatfield, in the green belt just north of London. Please contact Dr Volker Steuber (v.steuber @ herts.ac.uk) for informal enquiries. Application forms can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 9 June 2014.

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Postdoctoral Position at The Rockefeller University
by George Reeke Aug. 27, 2015

Aug. 27, 2015

Postdoctoral position in Computational Neuroscience A postdoctoral position supported by the BRAIN initiative is available at The Rockefeller University under the guidance of George Reeke in collaboration with Charles Gilbert and Winrich Freiwald. The overall project will study cortical mechanisms of object recognition and more specifically the influence of top-down task-and attentional influences on cortical dynamics and perceptual learning in areas of the visual cortical pathway. The computational work will involve developing and running large-scale spiking models of cortical regions studied in the overall project, with the goal of developing an accurate theoretical understanding of the phenomena observed in the experimental research. The successful candidate should, ideally, have a Ph.D. in a relevant area of neuroscience with a strong knowledge of mammalian visual systems and neuronal systems modeling. The candidate will be expected to develop suitable software to supplement the available tools as needed and will be able to work both independently and as part of a team. Interested individuals should send a c.v. and the names of three references to Dr. George Reeke (reeke(a)rockefeller.edu) with a subject line "Computational Neuroscience postdoc position". The position is available immediately, and applications will be accepted until the position is filled. The Rockefeller University is an Equal Opportunity Employer - Minorities/Women/Disabled/Veterans.

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Postdoctoral positions in Systems/Computational neuroscience [Univ Pittsburgh]
by Nathan Urban Aug. 27, 2015

Aug. 27, 2015

The lab of Dr. Nathan Urban, University of Pittsburgh, Department of Neurobiology and Center for the Neural Basis of Cognition invites applications for two postdoctoral positions for projects on the analysis of olfactory system function and circuitry. Projects involve measuring of neural activity in vivo or in vitro using physiological and imaging approaches (whole cell patch clamp and calcium imaging in vitro and 2-photon imaging and physiology in vivo). We seek both experimentalists and computational neuroscientists interested in exploring the following topics in rodent model systems: The mechanisms and role of biophysical and circuit-level neuronal diversity Connections between biophysical and statistical models of neurons Sensory coding in control mice and in disease models Successful candidates will have a track record of publications and experience in experimental and/or computational neuroscience. Interests must be aligned with the broad interests of the lab and successful applicants will be expected to participate in ongoing collaborations with other groups in Pittsburgh and in other locations. Postdocs in the lab will have the opportunity to present their work at national and international meetings. Through mentoring and by creating opportunities for independent projects, postdocs will be in an excellent position to develop towards independent career objectives. Applicants can contact Dr. Urban via e-mail at nurban(a)pitt.edu and should apply via: http://goo.gl/forms/27qj1SJxw4 Qualifications: The successful candidate should have a PhD or equivalent degree in neuroscience, engineering, computer science or a related discipline. Clear evidence of research productivity and ability to work on collaborative projects is also essential. Feel free to forward to interested colleagues. ___________________________________________ Nathan Urban, Ph.D. Vice Provost for Special Projects 829 Cathedral of Learning Professor and Associate Chair - Department of Neurobiology http://www.neurobio.pitt.edu/ Co-Director Center for the Neural basis of Cognition www.cnbc.cmu.edu Associate Director Pittsburgh Brain Institute http://www.braininstitute.pitt.edu/ E1440 BSTWR 200 Lothrop Street University of Pittsburgh Pittsburgh, PA 15213 Phone: 412-648-3396 nurban(a)pitt.edu

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