- Comp-neuro - lists.cnsorg.org

PhD in “Characterising motor impairments in autism using computational techniques” at the University of Manchester
by Marcelo Montemurro Nov. 20, 2014

Nov. 20, 2014

sent on behalf of Dr Emma Gowen. PhD in “Characterising motor impairments in autism using computational techniques”. Applications are invited for this fully-funded PhD position (fees and salary) in the lab of Dr Emma Gowen in the Faculty of Life Sciences, University of Manchester Deadline: 26th Nov 2014 Start date: September 2015 Duration: 4 years Eligibility: Candidates must be nationals of the UK or other EU country This project will apply computational and statistical methods to motion tracking data in order to determine the nature of motor impairments in autistic individuals. Autism is a life-long developmental condition that affects how a person communicates and interacts with people. In addition to these social symptoms, autistic individuals have altered motor control such as less accurate eye-hand coordination and abnormal gait patterns causing considerable problems with daily living and social skills. Despite this impact, motor problems are poorly characterised. In this project, computational and statistical methods (e.g. feature extraction, machine learning) will be applied to movement data recorded from autistic and non-autistic people in order to address the following questions: Can motor ability differentiate between autistic and non- autistic groups? Can motor ability be used as a diagnostic marker for autism? Are there different subgroups of motor impairment present in the autistic population? For more details of the project please visit: http://www.ls.manchester.ac.uk/phdprogrammes/projectsavailable/project/?id=… **************************************************** Dr Emma Gowen Senior Lecturer Body, Eyes and Movement (BEAM) lab http://beamlab.lab.ls.manchester.ac.uk/ http://www.dremmagowen.webspace.virginmedia.com/EmmaSite/Home.html http://www.autism.manchester.ac.uk/

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Postdoctoral / doctoral student position in Computational Neuroscience for a Germany – Japan collaborative project: Development of the functional organization in visual cortex.
by Matthias Kaschube Nov. 19, 2014

Nov. 19, 2014

POSITION: The group of Matthias Kaschube at the Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt, Germany, is seeking a highly motivated postdoctoral researcher or doctoral student who will develop and analyze a neural circuit model of mouse visual cortex development. This is for a newly funded joint project with the experimental group of Kenichi Ohki at Kyushu University in Japan. The position will emphasize theoretical and computational work, but an active engagement with neural data analysis is desired. Our aim in this project is to identify the changes in circuitry that underlay the reorganization of visual response properties in mouse visual cortex upon eye opening. The position is available immediately, for up to three years. LAB ENVIRONMENT: The work will be carried out primarily at FIAS, a research institution dedicated to fundamental theoretical research in various areas of science. FIAS hosts state-of-the-art facilities and has tight links to neuroscience centers at the Goethe University, the Max-Planck Institute for Brain Research and the Ernst Strüngmann Institute for Neuroscience. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe and boasts a rich cultural community. Due to the strong interactive nature of this project, short and long-term visits in Kenichi Ohki’s lab are expected. For further information on activities in the Kaschube lab, please visit http://fias.uni-frankfurt.de/neuro/kaschube/ QUALIFICATIONS: Selection criteria include strong mathematical skills and past research accomplishments. Applicants must have received training in a relevant quantitative discipline, e.g. physics, computer science, math, computational neuroscience. Previous experience with neurobiology is advantageous but not essential. APPLYING: Applicants should email a CV to Matthias Kaschube (kaschube(a)fias.uni-frankfurt.de). The position is available immediately, and we look forward to reviewing applications as they arrive. FIAS is dedicated to building a diverse community in its training and employment programs.

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Postdoc Position in Face Recognition with Attributes, at the University of Caen, France
by Frederic Jurie Nov. 19, 2014

Nov. 19, 2014

Postdoc Position in Face Recognition with Attributes, at the University of Caen, France The Computer Vision group of the University of Caen (France) is opening a PhD position starting on the 1st of February 2015. Topic: We are interested in forensic investigation scenarios in which some persons of interest have to be identified using verbal descriptions provided by witnesses (e.g. gender, race, age, etc.). It is well known that, in general, variations in pose, illumination, occlusions, or expression makes face recognition in unconstraint environments very challenging. In this context, we aim at addressing simultaneously the two issues (searching subject by verbal description and building robust face description) by building semantic visual features of a face images that are insensitive to the aforementioned imaging variations and can be used for verbal searches. More precisely, we will investigate potential extensions of the recent works on this topic, such a [1,2,3,4,5,6]. This research will be carried within the context of the ANR/PHYSIONOMIE project; scientific collaborations with the MORPHO company as well as the INRIA/LEAR group are expected. Start date: the 1st of February 2015. Location: The position will be located at the Computer Vision group at the University of Caen. Contacts: Prof. Frederic Jurie (frederic.jurie(a)unicaen.fr) Profile: * Recent Master (preferably in Computer Science, computer vision, machine learning or Applied Mathematics) * Solid programming skills; the project involves programming in Matlab and C++ * Solid mathematics knowledge (especially linear algebra and statistics) * Creative and highly motivated * Fluent in English, both written and spoken Prior knowledge in the areas of computer vision (in particular face recognition or visual attributes), machine learning or data mining is a plus Please send applications via email, including: * a complete CV including a list of publications * graduation marks as well as rank * the name and email address of three references Applications should be sent to Frederic Jurie (frederic.jurie(a)unicaen.fr) Applicants can be asked to do a short assignment in order to demonstrate their research abilities.   References ---------- [1] Neeraj Kumar, Alexander C. Berg, Peter N. Belhumeur, and Shree K. Nayar. Describable visual attributes for face verification and image search. IEEE PAMI, 33(10):1962–1977, 2011.   [2] Amir Sadovnik, Andrew Gallagher, and Tsuhan Chen. It’s not polite to point: Describing people with uncertain attributes. IEEE CVPR, 2013.   [3] Fengyi Song, Xiaoyang Tan, and Songcan Chen. Exploiting relationship between attributes for improved face verification. Computer Vision and Image Understanding, 122:143–154, 2014.   [4] Ziheng Wang, Yongqiang Li, Shangfei Wang, and Qiang Ji. Capturing global semantic relation-ships for facial action unit recognition. ICCV, 2013.   [5] Lingyun Wen and G. D. Guo. Dual attributes for face verification robust to facial cosmetics. Journal of Computer Vision and Image Processing, 3(1):63–73, 2013.   [6] Michael J. Wilber, Ethan Rudd, Brian Heflin, Yui-Man . M. Lui, and Terrance E. Boult. Exemplar codes for facial attributes and tattoo recognition. In Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on, 2014.  

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4 year post-doc position in UCL, London
by Chait, Maria Nov. 17, 2014

Nov. 17, 2014

A 4 year post-doctoral research associate position is available to work on a European Council-funded project that will use psychophysics, eye tracking and EEG to investigate auditory attention. We aim to understand the brain mechanisms involved in selective attention, and create a brain-machine interface able to identify listeners attentional focus in real time. This research program is part of an international project ("Cognitively controlled Hearing Aid") which includes partners in ENS, France (Shihab Shamma, Alain de Cheveigne, Daniel Pressnitzer), DTU, Denmark (Torsten Dau), UZH, Switzerland (Shih-Chii Liu) and Oticon (Thomas Lunner) . You will be supervised by Dr Maria Chait and based at the UCL Ear Institute (http://www.ucl.ac.uk/ear/research/chaitlab) Salary (inclusive of London allowance) £33,353 - £37,152 per annum Applicants should hold a PhD degree (or equivalent) in an engineering or Neuroscience-related subject and have substantial experience in digital signal processing and computer programming. Previous experience with auditory research and/or functional brain imaging is desirable. For an informal discussion please contact Dr. Maria Chait (m.chait(a)ucl.ac.uk<mailto:m.chait@ucl.ac.uk>). Application should be made via the UCL website: http://www.ucl.ac.uk/hr/jobs/ (Ref:1443980). Application deadline: 07 Dec 2014. Start date: Early 2015. The UCL Ear Institute provides state-of-the-art research facilities across a wide range of disciplines and is one of the foremost centres for hearing, speech and language-related research within Europe. Maria Chait PhD m.chait(a)ucl.ac.uk<mailto:m.chait@ucl.ac.uk> Reader in Auditory Cognitive Neuroscience Lab site: http://www.ucl.ac.uk/ear/research/chaitlab/ UCL Ear Institute 332 Gray's Inn Road London WC1X 8EE

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4 year postdoctoral position at the University of Manchester, Faculty of Life Sciences
by Mark Humphries Nov. 17, 2014

Nov. 17, 2014

Dear comp-neuro (with apologies for cross-posting), We seek a skilled and enthusiastic individual to develop cutting-edge analysis and data-mining techniques for multi-neuron recording data, and apply those techniques to the analysis of extensive data-sets. The successful candidate will join a newly established team that tackles the challenging problems of how to make sense of the deluge of circuit-wide neural activity data, from cortical cell assemblies to invertebrate central pattern generators (http://www.systemsneurophysiologylab.ls.manchester.ac.uk/) The ideal candidate will hold a PhD in a related discipline (e.g. computational neuroscience, computer science, statistics, physics, engineering), have good programming skills, and experience in either neurophysiological data or computational modelling of neural circuits. The position is available from January 2015 for up to 48 months. For more details and to apply please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=8837 Application deadline: 11th December 2014 For all informal inquiries: mark.humphries(a)manchester.ac.uk Dr Mark Humphries MRC Senior non-Clinical Research Fellow AV Hill Building Faculty of Life Sciences University of Manchester http://www.systemsneurophysiologylab.ls.manchester.ac.uk/

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Postdoc at CU Boulder, Computational Cognitive Neuroscience of Bidirectional Vision
by Randall O'Reilly Nov. 17, 2014

Nov. 17, 2014

Postdoctoral Position Computational Cognitive Neuroscience Lab, University of Colorado Boulder Postdoctoral research position available in the CCN lab at the Department of Psychology & Neuroscience, University of Colorado Boulder (Randall O’Reilly, director), to work on an ONR-funded grant focusing on top-down influences on visual object recognition. This position will focus on developing bidirectional vision models based on the structure and function of the relevant visual areas, including V3, LIP, and FEF interacting with the ventral object recognition pathways in V4 and IT. This is a collaborative project with Tim Curran at CU Boulder (human EEG studies), David Sheinberg at Brown (primate electrophysiology), and Tor Wager (CU Boulder, fMRI) — there is an opportunity to conduct tests of the computational models with these collaborators. Primary qualifications include a PhD in a relevant field, and extensive prior computational modeling experience, preferably in relevant visual domains. The position is available immediately, but the start date is flexible. The University of Colorado is an Equal Opportunity Employer committed to building a diverse workforce. We encourage applications from women, racial and ethnic minorities, individuals with disabilities and veterans. Alternative formats of this ad can be provided upon request for individuals with disabilities by contacting the ADA Coordinator at hr-ada(a)colorado.edu. The University of Colorado Boulder conducts background checks on all final applicants being considered for employment. For further information about the lab, see http://grey.colorado.edu/CompCogNeuro/index.php/CCNLab, and our recent publications in this area: http://grey.colorado.edu/CompCogNeuro/index.php/CCNLab/publications. Feel free to contact randy.oreilly(a)colorado.edu for inquiries. Applicants must submit a CV, a statement of research experience/interests, and a cover letter including email addresses for at least three referees, and one recommendation letters. The other referees will be contacted for letters if needed. Applications will be accepted electronically at https://www.jobsatcu.com/postings/86996 . The job posting # is RF01716 - Randy ---- Dr. Randall C. O'Reilly Professor, Department of Psychology and Neuroscience University of Colorado Boulder 345 UCB, Boulder, CO 80309-0345 303-492-0054 Fax: 303-492-2967 http://psych.colorado.edu/~oreilly

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli Nov. 16, 2014

Nov. 16, 2014

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. ** Center for Neural Science (CNS) (deadline: 1 December) [http://www.cns.nyu.edu/doctoral/] [Graduate studies in Neuroscience across NYU: http://www.neuroscience.nyu.edu/] * Andre A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Nava Rubin - Visual perception and the neural basis of vision. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. ** Neuroscience and Physiology program, School of Medicine (deadline: 1 December) [http://neuroscience.med.nyu.edu/training-programs/graduate-program-neurosci…] [Graduate studies in Neuroscience across NYU: http://www.neuroscience.nyu.edu/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. ** Psychology, Cognition & Perception program (deadline: 12 December) [http://www.psych.nyu.edu/programs/cp/] * Nathaniel Daw (also in CNS) - Models of decision-making and neuromodulation. * Todd Gureckis - Memory, learning, and decision processes. * David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Gary Marcus - Origins of the human mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. ** Mathematics (deadline: 18 December ) [http://math.nyu.edu/degree/phd/] * David Cai - Nonlinear stochastic behavior in physical and biological systems. * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. * Daniel Tranchina - Information processing in the retina. ** Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/web/Research/Areas/graphicsvisionui.html] * Davi Geiger - Computational vision and learning. * Yann LeCun - machine learning, hierarchical visual processing, robotics. ** Electrical and Computer Engineering, Poly campus, Brooklyn (deadline: 15 December) [http://www.poly.edu/academics/programs/electrical-engineering-phd] * Jonathan Viventi - Brain-computer interfaces and brain recording technologies. ** Economics (deadline: 18 December) [http://econ.as.nyu.edu/page/phd] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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[Call for workshops] IJCNN 2015, Killarney, Irelan, 12-17 july 2015
by Pierre-Yves Oudeyer Nov. 15, 2014

Nov. 15, 2014

Call for Workshops, IJCNN 2015 Deadline: December 15th, 2014 Location: Killarney, Ireland Date of events: 12-17 july 2015 Web: http://www.ijcnn.org/call-for-workshops Post-conference workshops at IJCNN offer a unique opportunity for in-depth discussions of specific topics in neural networks and computational intelligence. The workshops should be moderated by scientists or professionals who has significant expertise and /or whose recent work has had a significant impact within their field. IJCNN 2015 will emphasize emerging and growing areas of computational intelligence. Each workshop has a duration of 3 or 6 hours. The format of each workshop will be up to the moderator, and can include interactive presentations as well as panel discussions among participants. These interactions should highlight exciting new developments and current research trends to facilitate a discussion of ideas that will drive the field forward in the coming years. Workshop organizers can prepare various materials including handouts or electronic resources that can be made available for distribution before or after the meeting. Researchers interested in organizing workshops are invited to submit a formal proposal. A form for submitting proposals is provided on the web-page http://www.ijcnn.org/call-for-workshops Any questions regarding this proposal can be asked to the Workshop Chair: Pierre-Yves Oudeyer, INRIA, France. email: pierre-yves.oudeyer(a)inria.fr Pierre-Yves Oudeyer Inria, France http://www.pyoudeyer.com

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Tenure-track position in vertebrate neurophysiology
by Holmes, William Nov. 15, 2014

Nov. 15, 2014

Tenure-Track Position in Vertebrate Neurophysiology The Neuroscience Program in the Department of Biological Sciences at Ohio University invites applications for a full time tenure-track position in Vertebrate Neurophysiology. Candidates should have expertise in vertebrate electrophysiology, broadly defined, and interests in computational modeling approaches to enable interaction with faculty in Ohio University's interdisciplinary Quantitative Biology Institute (QBI). Candidates who combine electrophysiology and modeling approaches are especially encouraged to apply. Candidates are expected to have a PhD or equivalent degree, relevant postdoctoral training, and evidence of scholarly research. The successful candidate will be expected to develop an independent and vibrant extramurally funded research program, participate in undergraduate and graduate teaching, and mentor undergraduate and graduate students, including those in the Honors Tutorial College Neuroscience major. Primary teaching responsibilities include an upper level/graduate course in Human Neuroscience and a non-majors functional anatomy course, which covers the musculoskeletal system and its control by the nervous system. The application should include a curriculum vitae, a statement of research interests including future plans and a statement of teaching philosophy. Applications must be electronically uploaded to https://www.ohiouniversityjobs.com/postings/11999. In addition, candidates will be asked to key in contact information including email addresses for at least three references. Reference providers will receive an auto-generated email request including a quick-link by which to upload a letter of reference. The position will remain open until filled. For full consideration, applications must be received by January 2, 2015 (11:59 p.m. EST). Ohio University is committed to creating a respectful and inclusive educational and workplace environment. Ohio University is an equal access/equal opportunity and affirmative action employer with a strong commitment to building and maintaining a diverse workforce. Women, persons of color, persons with disabilities, and veterans are encouraged to apply.

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Deadline extension | ALLDATA 2015 || April 19 - 23, 2015 - Barcelona, Spain
by Cristina Pascual Nov. 13, 2014

Nov. 13, 2014

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to ALLDATA 2015. The submission deadline is December 8, 2014. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== ALLDATA 2015 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS ALLDATA 2015, The First International Conference on Big Data, Small Data, Linked Data and Open Data April 19 - 23, 2015 - Barcelona, Spain General page: http://www.iaria.org/conferences2015/ALLDATA15.html Call for Papers: http://www.iaria.org/conferences2015/CfPALLDATA15.html Submission page: http://www.iaria.org/conferences2015/SubmitALLDATA15.html Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini-symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: December 8, 2014 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html ALLDATA 2015 Topics (topics and submission details: see CfP on the site) BIG DATA Big data foundations; Big data understanding (knowledge discovery, learning, consumer intelligence); Big data semantics, search and mining; Big data processing and transformations; Big data handling, simulation, visualization, modeling tools, and algorithms; Managing big data (large-scale, integration, etc.); Unknown in large Data Graphs; Reasoning on Big data; Big data analytics for prediction; Applications of Big data (health, financial, social, weather forecasting, etc.; Business-driven Big data; Big data and cloud technologies; Technologies handling Big data; High performance computing on Big data; Big data persistence and preservation; Big data protection, integrity and privacy ; Big data toolkits SMALL DATA Social networking small data; Relationship between small data and big data; Statistics on Small data; Handling Small data sets; Predictive modeling methods for Small data sets; Small data sets versus Big Data sets; Small and incomplete data sets; Normality in Small data sets; Confidence intervals of small data sets; Causal discovery from Small data sets; Deep Web and Small data sets; Small datasets for benchmarking and testing; Validation and verification of regression in small data sets; Small data toolkits LINKED DATA RDF and Linked data; Deploying Linked data; Linked data and Big data; Linked data and Small data; Evolving the Web into a global data space via Linked data; Practical semantic Web via Linked data; Structured dynamics and Linked data sets; Quantifying the connectivity of a semantic Linked data; Query languages for Linked data; Access control and security for Linked data; Anomaly detection via Linked data; Semantics for Linked data; Enterprise internal data 'silos' and Linked data; Traditional knowledge base and Linked data; Knowledge management applications and Linked data OPEN DATA Open data structures and algorithms; Designing for Open data; Open data and Linked Open data; Open data government initiatives; Big Open data; Small Open data; Challenges in using Open data (maps, genomes, chemical compounds, medical data and practice, bioscience and biodiversity); Linked open data and Clouds; Private and public Open data; Culture for Open data or Open government data; Data access, analysis and manipulation of Open data; Open addressing and Open data; Specification languages for Open data; Legal aspects for Open data ---------------------------------- ALLDATA 2015 Chairs Mark Balas, Embry-Riddle Aeronautical University in Daytona Beach, USA Andreas Schmidt, University of Applied Sciences Karlsruhe | Karlsruhe Institute of Technology, Germany Fabrice Mourlin, Universit� Paris-Est Cr�teil Val de Marne, France Dan Tamir, Texas State University, USA Yeh-Ching Chung, National Tsing Hua University, Taiwan Committee: http://www.iaria.org/conferences2015/ComALLDATA15.html ================================================

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