- Comp-neuro - lists.cnsorg.org

Reminder: Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2014
by Kerstin Schwarzwälder 14 Apr '14

14 Apr '14

Dear colleagues, Please let me remind you that, for the fifth time, the Bernstein Association for Computational Neuroscience is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2013 or 2014. The award comprises 500 € prize money, plus a travel grant of up to 2.000 € to cover a trip to Germany, including participation in the Bernstein Conference 2014 in Göttingen (www.bernstein-conference.de) and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is April 25, 2014. Detailed information about the application procedure can be found under: www.nncn.de/en/bernstein-association/brains-for-brains-2014 For inquiries please contact info(a)bcos.uni-freiburg.de Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Bernstein Coordination Site of the National Bernstein Network Computational Neuroscience Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg Germany phone: +49 761 203 9594 fax: +49 761 203 9585 schwarzwaelder(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany <http://twitter.com/NNCN_Germany> YouTube: Bernstein TV <http://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany <https://www.facebook.com/BernsteinNetwork> LinkedIn: Bernstein Network Computational Neuroscience, Germany <http://www.linkedin.com/company/bernstein-network-computational-neuroscienc…>

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early registration discounts for NEURON Summer Course
by Ted Carnevale 14 Apr '14

14 Apr '14

Good news for all who are interested in the NEURON Summer Course! Applicants who sign up by Friday, May 9, are now eligible for early registration discounts that range from $100 to $200 depending on which course components they request. NEURON Fundamentals June 21-24 This addresses all aspects of using NEURON to model individual neurons, and also introduces parallel simulation and the fundamentals of modeling networks. Parallel Simulation with NEURON June 25-26 This is for users who are already familiar with NEURON and need to create models that will run on parallel hardware. After Course Early May 9 ====== ===== ===== Fundamentals $1050 $1200 Parallel 650 750 Both 1600 1800 Registration is limited, and the registration deadline is Friday, May 30, 2014. For more information regarding NEURON courses see http://www.neuron.yale.edu/neuron/courses --Ted

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Conference on meditation and science
by Pedro Resende 13 Apr '14

13 Apr '14

CONFERENCE ON MEDITATION AND SCIENCE TIME AND PLACE: Monday, May 5, 2014, from 18:30 to 20:30, at Auditorium of Biblioteca Almeida Garrett, Porto, Portugal SPEAKER: Matthieu Ricard (PhD, Buddhist Monk - http://www.matthieuricard.org) PANEL DISCUSSION: - Alexandre Castro Caldas (Director of Instituto de Ciências da Saúde, Univ. Católica, Portugal) - João Relvas (Instituto de Biologia Molecular e Celular, Univ. Porto, Portugal) - João Forjaz de Lacerda (Faculdade de Medicina, Univ. Lisboa, Portugal), moderator DESCRIPTION: During the past 20 years, neuroscientists have learned that the plasticity of the human brain is greater than previously known, and that it can be modified by both internal and external factors via the exposition to new events and training processes. In this conference, Matthieu Ricard will present the benefits of meditation - mind training - for overcoming the power that obsessive thoughts and negative emotions have over our minds, a power which undermines our well being and ultimately is the deep cause of suffering. He will describe work carried out by neuroscientists at prestigious research centers in the USA, such as Madison, Princeton, and Berkeley, and in Europe, such as the Max Planck Institute in Leipzig, among others, and results showing that mind training can bring deep changes to our personalities. The talk will be followed by a panel discussion with Prof. Alexandre Castro Caldas (Univ. Católica), Dr. João Relvas (Univ. Porto), and Prof. João Forjaz de Almeida (Univ. Lisboa) as moderator. REGISTRATION (SCIENTIFIC ATTENDEES): If you would like to attend please send an email to office(a)krfportugal.org containing your name, scientific affiliation, and email address. The available space is limited, and seats will be assigned on a first come first served basis. There is no registration fee. REGISTRATION (GENERAL PUBLIC): Seats will also be available to non-scientific attendees, and tickets can be purchased from http://ticketline.sapo.pt/evento/meditacao-e-ciencia-8546. ORGANIZATION: Fundação Kangyur Rinpoche, Songtsen INFORMATION: office(a)krfportugal.org, (+351) 936 812 484 SUPPORT: Centro de Apoio ao Sem Abrigo (CASA, IPSS), Multicare, Câmara Municipal do Porto Any profits resulting from this event will be donated to CASA.

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Fully-funded PhD Studentship in Computational Neuroscience and Biophysics, Imperial College London
by Tobias Reichenbach 13 Apr '14

13 Apr '14

EEG assessment of central auditory disorder in patients with brain injury The Group for Biophysics of Hearing and Sensory Neuroscience (http://www.bg.ic.ac.uk/research/reichenbach/) at the Department of Bioengineering, Imperial College London, is looking for a highly motivated PhD student. The PhD project is embedded in the new EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health at Imperial College London (http://www3.imperial.ac.uk/neurotechnology/cdt) Our auditory environment is highly complex: different speakers often talk at the same time, music plays in the background, cars drive by. Our central nervous system is highly effective in analyzing such an auditory scene; for example, we can easily understand a speaker despite background noise. A range of neurological disorders can, however, impair the cognitive processes necessary to parse an acoustic scene and hence significantly impair a person's life. Both the brain's auditory processing as well as the associated disorder remain poorly understood. The graduate project will develop methods to assess the brain’s processing of complex auditory signals such as speech and music through noninvasive electroencephalographic (EEG) recordings. The methods will be used to diagnose patients with brain injury whose auditory processing is impaired. As an example, the project will study patients with aphasic stroke that affects brain regions for communication and language. The research will help to better understand the neurological basis of such disorder and help to develop novel rehabilitation strategies. The project will involve EEG data acquisition, advanced data analysis, machine learning, computational modeling and collaboration with clinical researchers. Candidates should have a degree in mathematics, physics, engineering, or computer science, solid quantitative and computational abilities, and a strong interest in working on biomedical problems. Eligible candidates must be EU nationals. Applicants should send their CV and a cover letter together with a copy of transcripts to Tobias Reichenbach (reichenbach(a)imperial.ac.uk) Applicants should also arrange for two letters of recommendation to be sent to Tobias Reichenbach. Closing date is 02 May 2014. The Department of Bioengineering at Imperial College London is performing internationally-leading, multi-disciplinary research in biomechanics, neurobiology, neurotechnology, and further related areas. More information about the department and about Imperial College can be found online (http://www3.imperial.ac.uk/bioengineering/about and http://www3.imperial.ac.uk/aboutimperial) ------------------------------------------- Tobias Reichenbach Lecturer Department of Bioengineering Imperial College London http://www.bg.ic.ac.uk/research/reichenbach/

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Second Announcement: International workshop on Neurodynamics (NDy14)
by Roberto Barrio 11 Apr '14

11 Apr '14

We are pleased to send you the Second announcement of the --------------------------------------------------------------------- INTERNATIONAL WORKSHOP ON NEURODYNAMICS (NDy14) July 14-17, 2014 Castro-Urdiales, Spain http://cody.unizar.es/events/neurodynamics14 http://www.ciem.unican.es/international-workshop-neurodynamics *** Scientific committee *** R. Barrio (University of Zaragoza) Spain S. Coombes (University of Nottingham) UK A. Guillamon (Universitat Politecnica de Catalunya - Barcelona Tech) Spain M. Wechselberger (University of Sydney) Australia A. Shilnikov (Georgia State University) USA Neuroscience is nowadays one of the most collaborative and active scientific research fields as it has been increasingly involving the participation of experts from other disciplines. In particular, computational and mathematical aspects of neuroscience are currently playing an important role both in modeling and replicating experimental findings and in explaining the underlying mechanisms of neurophysiological or cognitive processes. Differential equations are ubiquitous in the modeling of such phenomena and, consequently, nonlinear dynamics and dynamical systems techniques become fundamental sources of new mathematical and computational tools to study neuroscience models. The aim of this Workshop on Neurodynamics (NDy'14) is to present an overview of successful achievements in this rapidly developing collaborative field by putting together different types of applications of nonlinear dynamics (geometrical tools in dynamical systems, numerical methods, computational schemes, dynamical measures,...) to different problems in neuroscience (mononeuronal dynamics, network activity, cognitive problems,...). Additional emphasis will be put on experimental findings seeking for theoretical explanations, and therefore this meeting is focussed on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behavior in the applied neurosciences. Importantly, it will draw attention to, those pieces of mathematical theory which are likely to be relevant to future studies of the brain. The final goal is spreading together mathematical methodology and neuroscience challenges and stimulating future cross-collaborations among participants, being Mathematical Neuroscience the generic topic for NDy'14. The workshop length will be 4 days, distributed in special sessions and talks, with several round tables on different topics. --------------------------------------------------------------------- *** IMPORTANT DATES *** Extended Abstract Submission Deadline Short abstract/Title submission deadline 30th April 2014 Payment deadline (reduced fee, 200 Euros) 15th May 2014 Payment deadline (complete fee, 250 Euros) 31st May 2014 The registration includes the coffee-breaks, lunches and social dinner. ---------------------------------------------------------------------

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PhD opportunities at Imperial College London in the Clopath lab
by Claudia Clopath 10 Apr '14

10 Apr '14

PhD opportunities in Computational Neuroscience. Computational Neuroscience Laboratory Headed by Dr. Claudia Clopath Department of Bioengineering Imperial College London -----------------Requirements:----------------- The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented PhD student, interested in working in the field of computational neuroscience, specifically addressing questions of learning and memory. The PhD position is fully funded, and has a flexible starting date. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), and a keen interest in biological and neural systems. Demonstrated programming skills are a plus. This position is restricted to EU citizens. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/ -----------------Research topic:----------------- Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The PhD candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in artificial neural networks. They will have the opportunity to collaborate with experimental laboratories, which study connectivity changes and behavioural learning. -----------------The lab:----------------- The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, and is located in the city centre of London. -----------------How to apply:----------------- Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and names and contact information of two references, to clopathlab.imperial(a)gmail.com, with the subject containing 'PHD2014'. The position remains open until filled, but applications received first will be first considered.

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Postdoc opportunities at the Queensland Brain Institute
by Geoffrey Goodhill 09 Apr '14

09 Apr '14

The University of Queensland is currently offering generous postdoctoral fellowships, some targeted specifically at women, which can be held at the Queensland Brain Institute (QBI, www.qbi.uq.edu.au) a state-of-the-art facility located on The University of Queensland’s (UQ) St Lucia campus, Brisbane, Queensland, Australia. Established in 2003, the QBI's multidisciplinary environment is home to more than 300 staff and approximately 100 PhD students. Key areas of interest include computation and neuronal circuits, cognition and behaviour, neurogenesis and neuronal survival, genetics and epigenetics, neuronal development and connectivity, sensory systems, and synaptic function. QBI researchers have published almost 500 papers in the past two years, including 2 in Science, 4 in Nature, 2 in Neuron, 3 in Nature Neuroscience, 8 in Nature Genetics, 8 in Proceedings of the National Academy of Sciences of the USA, and 18 in Journal of Neuroscience. The period of appointment will be for three years and appointees are expected to commence in early 2015. The salary range is AU$71,528.60 – AU$79,708.50 (currently 1 AU$ = 0.94 US$). Each appointee will be entitled to maintenance funds of AU$20,000 over the term of the Fellowship to support research costs. Appointees relocating from interstate or overseas will be entitled to reimbursement of travel and relocation costs. For more details see http://www.uq.edu.au/research/research-management/uq-postdoctoral-research-… http://www.uq.edu.au/research/research-management/uq-postdoctoral-research-… and then contact the group leader at QBI with whom you are interested in working: http://qbi.uq.edu.au/group-leaders Note these fellowships are highly competitive and a strong publication record is an essential requirement. 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 http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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Open post-doc position in Nano-Electronics Design for Embedded NVM-based Cognitive Computing
by BICHLER Olivier 09 Apr '14

09 Apr '14

Open Postdoctoral Position in Nano-Electronics Design for Embedded NVM-based Cognitive Computing Novel embedded non-volatile memories, like resistive memory, are a fantastic technology enabler for the low-power chips capable of “cognitive” computing that are necessary for the new Internet of Things. To advance this topic, we are looking for a postdoctoral researcher to join our team in the Nano-Design project of the Campus Paris-Saclay. The goal of the project is to study and design an innovative embedded resistive memory-based neuro-inspired computing architecture, with computer vision as the primary target application. The ability to demonstrate state of the art applicative performance, on a pattern detection or classification problem, with a clear implementation gain, in silicon area or power consumption, is a major challenge for this ambitious project. To this aim, your research will associate high-level computer simulation, HDL modeling and IC design. Your ability to quickly adapt to and master our team simulation frameworks will give you a leading edge in your research. Finally, the realization of a fully integrated hybrid RRAM/CMOS chip demonstrator is a strong objective of the project. You will get to work in interaction with a team of tightly coupled labs of the Campus Paris-Saclay and CEA LETI. Candidates should hold a high-quality PhD in Electrical Engineering, Computer Engineering, Applied Physics or a related field, with experience in analog and/or mixed-signal CMOS electronics, Verilog/VHDL-AMS modeling and software engineering (working knowledge of C++ is a requirement). The candidate should be able to perform schematic capture and spice simulation; knowledge of industry standard tools and flows like Cadence Virtuoso or similar tools would be greatly appreciated. Other relevant subjects (not required for the position) are resistive memory (CBRAM, OXRAM), neuromorphic engineering, deep/convolutional/spiking neural network… Starting month: during 2014 18 months contract. Salary provided along CEA standards. About our team: Our team is composed of the Institut d’Electronique Fondamentale (IEF) in Université Paris-Sud, CNRS, the Laboratory of Innovation in Surface Chemistry and Nanosciences (LICSEN) at CEA IRAMIS and the Laboratory for Enhancing Reliability of Embedded Systems (LFSE) at CEA LIST. We are also working in strong interaction with the CEA LETI in Grenoble. Contacts: Olivier Bichler (olivier.bichler(a)cea.fr<mailto:olivier.bichler@cea.fr>) Christian Gamrat (christian.gamrat(a)cea.fr<mailto:christian.gamrat@cea.fr>) Tel: (+33)1.69.08.28.31 Contexte du projet NanoDesign / NanoDesign Project Context (in french) Les processeurs actuels reposent sur un couple technologie/architecture (CMOS / Von Neumann) ayant fait la preuve de sa remarquable efficacité. Toutefois, plusieurs éléments de contexte incitent à développer des recherches exploratoires, non pour remplacer les technologies existantes mais pour les compléter / les enrichir grâce à des briques de circuits dédiés compétitifs sur certaines gammes de tâches. Parmi ces éléments de contexte, on note en particulier: (i) la problématique de la consommation d'énergie qui s'aggrave avec le scaling, (ii) l'augmentation de la variabilité des dispositifs qui s'aggrave également à l'échelle nanométrique, (iii) l'évolution des domaines d'applications des processeurs avec notamment une augmentation de la demande concernant le traitement de données naturelles (sons, images, signaux biologiques...) et le traitement de très grandes quantités de données (notamment issues de l'internet ou de capteurs massivement distribués). Ces traitements consistent essentiellement en des taches de reconnaissance et de classification, qui nécessitent une quantité très importante de mémoire (constituant la connaissance a priori du système) et pour lesquels l’architecture processeur classique Von Neumann, qui sépare fondamentalement mémoire et unités de calcul, est particulièrement inefficace. Dans ce contexte, le cerveau représente un exemple particulièrement intéressant de système capable de traiter les données naturelles avec une efficacité redoutable, notamment en termes de consommation. Ce traitement d'information est réalisé de façon massivement parallèle, asynchrone et impulsionnelle grâce à un large ensemble de neurones interconnectés via des synapses. Le nombre de synapses par neurone étant de l'ordre de 104, l'implémentation matérielle d'une telle architecture suppose notamment une densité d'intégration extrême des synapses, d'où le lien fort avec les nanotechnologies. En particulier, il a été montré récemment qu’une synapse peut être émulée efficacement par une mémoire analogique à deux terminaux (un memristor). Celle-ci a la propriété de pouvoir se programmer dynamiquement, en impulsionnel, à la manière d’une synapse biologique, ce qui ouvre la voie à l’implémentation de mécanismes d’apprentissage performants et présents dans le vivant, tels que la plasticité synaptique de type STDP (Spike timing-dependent plasticity) [Poo04]. Les équipes du CEA LIST, du CEA IRAMIS et de l’IEF, impliquées dans le projet NanoDesign support de ce post-doc ont travaillé ensemble et séparément sur différents aspects de cette problématique. En particulier, le CEA LIST, dans lequel sera affecté le post-doc, a développé des architectures de circuits adaptées à différentes technologies mémoires (PCM [Bic12a], RRAM [Sur13], mémoires organiques [Bic12b]…) pour réaliser des fonctions de traitement de données neuro-inspirées. Il s’est doté d’une plateforme de simulation, Xnet [Bic13], dédiée à l’étude de ces architectures, intégrant des modèles fonctionnels ou semi-physiques de dispositifs et des méthodes d’apprentissage [Bic12c] (supervisées et non supervisées). Celle-ci a déjà permis de réaliser un certain nombre d’études, dans le cadre de thèses, notamment sur la robustesse de ces circuits vis-à-vis de la variabilité ainsi que sur la co-intégration nano/CMOS [Que13]. Ainsi, avec ce post-doc, dans ce projet, nous proposons notamment : ● De réaliser des assemblées de dispositifs à une échelle suffisante pour la réalisation d’une fonction cognitive de haut niveau (de type détection/classification visuelle). Ceci, dans un schéma d'interconnexion adapté à cette fonction. ● De poursuivre l’étude des modes de codages de l'information impulsionnels et les règles d'apprentissage et/ou de programmation adaptées aux applications et aux dispositifs étudiés. ● De poursuivre le développement de simulations au niveau circuit afin d'évaluer a priori les architectures et d'en comparer les mérites à d'autres formes de traitements des données. ● De réaliser des prototypes de circuits mixtes intégrant des technologies RRAM et des neurones réalisés en électronique conventionnelle. ● De combiner l'ensemble des avancées du projet pour la réalisation d’une fonction cognitive intégrée, de type détection/classification, pour une application réelle de traitement de données visuelles, avec l’ambition de démontrer la viabilité de notre approche à l’échelle d’un prototype pouvant se comparer aux solutions alternatives classiques sur des métriques concrètes (coût, consommation, fiabilité…). References [Bic12a] Bichler, O.; Suri, M.; Querlioz, D.; Gamrat et al., 'Visual Pattern Extraction Using Energy-Efficient ‘2-PCM Synapse’ Neuromorphic Architecture', IEEE Trans on Elec Devices 8, 2206-2214, 2012. [Bic12b] O. Bichler, W. Zhao, F. Alibart, S. Pleutin, S. Lenfant, D. Vuillaume, C. Gamrat, ‘Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors’, Neural Computation 25(2):549-566, 2012. [Bic12c] O. Bichler, D. Querlioz, S.J. Thorpe, J.-P. Bourgoin, C. Gamrat, ‘Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity’, Neural Networks, 32:339-348, 2012. [Poo04] Y. Dan and M. Ming Poo. ‘Spike timing-dependent plasticity of neural circuits’. Neuron, 44(1):23–30, 2004. [Bic13] O. Bichler, D. Roclin, C. Gamrat, D. Querlioz, ‘Design Exploration Methodology for Memristor-Based Spiking Neuromorphic Architectures with the Xnet Event-Driven Simulator’, Nanoscale Architectures (NANOARCH), 2013 IEEE/ACM International Symposium on, 2013. [Que13] D. Querlioz, O. Bichler, P. Dollfus, C. Gamrat, ‘Immunity to Device Variations in a Spiking Neural Network with Memristive Nanodevices’, Nanotechnology, IEEE Transactions on, 12(3):288-295, 2013. [Sur13] M. Suri, D. Querlioz, O. Bichler, G. Palma, E. Vianello, D. Vuillaume, C. Gamrat, B. DeSalvo, ‘Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses’, Electron Devices, IEEE Transactions on, 60(7):2402-2409, 2013. -- Olivier Bichler CEA, LIST, Laboratory for Enhancing Reliability of Embedded Systems F-91191 Gif-sur-Yvette Cedex, France Ph: (+33)1.69.08.28.31 Fax: (+33)1.69.08.83.95

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New Job Posting for Comp-neuro (F9804z)
by Neil Paz-Cruzat 08 Apr '14

08 Apr '14

*George Mason University Postdoctoral Research Fellow, Molecular Neuroscience/Computational Neuroscience* The George Mason University, Krasnow Institute seeks a Postdoctoral Research Fellow to develop and use multiscale spatiotemporal models of cardiac mitochondria to understand how mitochondrial structure and function are related. *Qualifications:* The ideal candidate is expected to have expertise in biological modeling, computer programming, and related numerical methods. Programming on parallel architectures is also desirable, as is knowledge of mitochondrial modeling. This project involves close collaboration with experimental collaborators. The duration of the position is subject to available research funding. For full consideration, applicants must apply for position number F9804z at http://jobs.gmu.edu/; complete and submit the online application; and upload a CV, a list of three references with contact information, and a description of research accomplishments.*These three required documents will need to be uploaded to the Other Doc category as a single (multipaged) document.*Questions may be addressed to*sjafri(a)gmu.edu*. AA/EOE

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Postdoctoral positions in neuroimaging and rapid decision making
by Paul Sajda 08 Apr '14

08 Apr '14

The Laboratory for Intelligent Imaging and Neural Computing (LIINC) at Columbia University has immediate openings for several Postdoctoral Research Scientists. Specifically these positions will contribute to our research program focusing on understanding the neural basis for rapid decision making in the human brain and using this understanding to build brain computer interfaces (BCI) for next-generation human-machine interaction. Our approach leverages multi-modal neuroimaging, including a custom designed simultaneous EEG/fMRI system, to identify spatio-temporal cortical and subcortical networks underlying rapid decision making. Our analysis methods are deeply rooted in machine learning techniques, with a focus on using such techniques to enable single-trial analysis for correlating with decision variables. Applicants should have a background in one, and preferably several, of the following area: machine learning, neural signal processing, neuroimaging (EEG and/or fMRI), decision making, cognitive neuroscience and/or BCI. A Ph.D. in Engineering, Computer Science or Neuroscience is preferred. LIINC (liinc.bme.columbia.edu) is in the Department of Biomedical Engineering at Columbia University and interacts closely with other departments at Columbia, including Electrical Engineering, Biological Sciences, Computer Science and Neuroscience. We are also a member lab of the newly formed Center for Neural Engineering and Computation (CNEC) at Columbia University (cnec.columbia.edu) as well as the Institute for Data Sciences and Engineering (idse.columbia.edu) Additionally, we are a member of the Cognition and Neuroergonomics Collaborative Technology Alliance (CaN CTA) which a collaborative research effort between the Army Research Labs, Academia and Industry. Postdoctoral Research Scientists will thus have the opportunity to broadly collaborate will other scientists in academia, industry and government, being part of one of the largest collaborative programs in real-world neuroimaging and brain computer interfaces. Interested candidates should send via email their CV, three representative papers, the names of three references, and cover letter to Prof. Paul Sajda (psajda(a)columbia.edu) Applications will be considered until the positions are filled. The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. Paul Sajda, Ph.D. Professor Departments of Biomedical Engineering, Electrical Engineering and Radiology Columbia University 351 Engineering Terrace Building, Mail Code 8904 1210 Amsterdam Avenue New York, NY 10027 tel: (212) 854-5279 fax: (212) 854-8725 email: ps629(a)columbia.edu http://liinc.bme.columbia.edu Editor-in-Chief IEEE Transactions on Neural Systems and Rehabilitation Engineering email: editortnsre(a)gmail.com http://tnsre.bme.columbia.edu

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