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Extended dealine - call for papers - 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

by 2014 IEEE International Workshop on Machine Learning fo Signal Processing

The deadline for full paper submission has been extended to May 16, 2014. Call for papers: - Submission of full paper: May 16, 2014 - Notification of acceptance: June 27, 2014 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) September 21-24, 2014 Reims, France http://mlsp2014.conwiz.dk CALL FOR PAPERS The 24th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: - Learning theory and techniques - Graphical models and kernel methods - Data-driven adaptive systems and models - Pattern recognition and classification - Distributed, Bayesian, subspace/manifold and sparsity-aware learning - Multiset data analysis and multimodal data fusion - Perceptual signal processing in audio, image and video - Cognitive information processing - Multichannel adaptive and nonlinear signal processing - Applications, including: speech and audio, image and video, music, biomedical signals and images; communications; bioinformatics; biometrics, computational intelligence, genomic signals and sequences; social networks; games, and smart grid. DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION Data Analysis and Signal Processing Competition is being organized in conjunction with the workshop. The goal of the competition is to advance the current state-of-the-art in theoretical and practical aspects of signal processing domains. The problems are selected to reflect current trends, evaluate existing approaches on common benchmarks, and identify critical new areas of research. Winners will be announced and awards given at the workshop. BEST STUDENT AWARD The MLSP Best Student Paper Award will be granted to the best overall paper for which a student is the principal author and presenter. This author must be a registered student at the time of paper submission to be eligible for this award. The award will be presented during the conference and consists of a honorarium (to be divided equally between all student authors of the paper), and a certificate for each such author. The award will be selected by a subcommittee of the program committee. The selection is based on the quality, originality, and clarity of the submission. PAPER SUBMISSION Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure at http://mlsp2014.conwiz.dk/paper_submission.htm Accepted papers will be published on memory sticks to be distributed at the workshop. The presented papers will be published in and indexed by IEEE Xplore. SCHEDULE: - Submission of full paper: May 5, 2014 - Notification of acceptance: June 27, 2014 - Advance registration before: July 25, 2014 - Camera-ready paper: July 25, 2014 ORGANIZING COMMITTEE: General Chair Mamadou Mboup Contact general chair at mlsp2014-chair(a)conwiz.dk Program Chairs Tülay Adali Eric Moreau Contact program chairs at mlsp2014-programchairs(a)conwiz.dk Data Competition Chair Vince Calhoun Special Session Chair Jean-Yves Tourneret Publicity Chair Marc Van Hulle Web and Publication Chair Jan Larsen Kevin Guelton Local Arrangement Chairs Valeriu Vrabie Hassan Fenniri

May 4, 2014

MSc. SCHOLARSHIP AT JAUME I UNIVERSITY, SPAIN

by Enric Cervera Mateu

MSc. SCHOLARSHIP AT JAUME I UNIVERSITY,SPAIN The purpose of this announcement is to grant one scholarship for the training of research personnel at UJI Robotic Intelligence Laboratory, Universitat Jaume I, Castellon, Spain, an internationally renowned research center. The goal of this scholarship is to train qualified personnel for R&D tasks, and is aimed at university degree holders from non-Spanish universities, with a recent degree in science/engineering with outstanding performance, fulfilling requirements for admittance to a master degree. The beneficiary is also expected to join a research team within the framework of an on-going project related to robotic research, working with state-of-the-art equipment such as a humanoid torso with anthropomorphic head and multifinger hands, and/or teams of humanoid robots. http://robinlab.uji.es The research will typically pertain to bio-inspired approaches about learning and multimodal sensorimotor coordination of head, eyes and limbs movements during the planning and execution of manipulation or interaction tasks. After getting acquainted with the computational models and the humanoid torso available at the Lab, the beneficiary is expected to extend it by modeling additional mechanisms and implementing other tasks and capabilities. Coordination between eyes, head, arm and hand movements and multimodal integration will be central from both theoretical and practical viewpoints. In this context, the student will have freedom to pursue his/her own research goals according to his/her background and interests. This scholarship is intended for brilliant young graduates and experience in robotics is desirable but not required. Interest in theoretical neuroscience, mental development, or interdisciplinary bio-inspired research would be a plus. Scholarship period The period of validity covered by the scholarships is two years or until defending one’s doctoral thesis, should this be earlier. If, in the period of one month before the end of the scholarship, the beneficiary applicant has obtained the university master’s degree, or has been admitted to a doctorate programme in research phases, he/she may apply for an extension of an additional scholarship up to 12 months, with a view to prolonging his/her research period. The beneficiary applicant may take a master’s degree during this period, namely the "Master on Intelligent Systems. Service Robotics" at the UJI Department of Engineering and Computer Science. http://www.uji.es/UK/infoest/estudis/postgrau/oficial/sistemint.html Scholarship stipend 1. Scholarships’ stipend will be €1,200 monthly (gross). The corresponding IRPF (income tax) will be deducted from this amount. 2. The scholarship also includes an additional stipend of: a) €1,600 to cover costs of travel and settling in Castellon, during the first year of the scholarship. b) €1,200 per year, where applicable, for registration fees for university master’s during the first two years of the scholarship. 3. UJI shall take out an accident insurance and public liability insurance, plus health insurance with coverage for the whole period of the scholarship, if applicants are citizens of countries that have no arrangements with the Spanish Social Security or if insurance coverage of such arrangements were not sufficient. Requirements of beneficiary These scholarships are open to persons fulfilling the following requirements within the period of submission of applications: a) An Engineering or Science degree from a non-Spanish university, fulfilling requirements for admittance to a master degree. b) Having obtained the degree after 1 January 2011. c) Knowledge of Spanish or English (with good speaking skills) for the proposed training. d) Not being in possession of a PhD. Applications The scholarship candidate shall submit the following documents NO LATER THAN MAY 16, 2014 24:00 CET (strict) to robinlab(a)uji.es a) Personal data (see below) b) Photocopy of national identity card of your country. Citizens of EU member states should also include a photocopy of NIE (residence permit) in the event of possessing one. c) Photocopy of valid passport, if not a citizen of the EU. Also a photocopy of NIE (residency permit) in the event of possessing one. d) Photocopy of official academic transcript including the name of obtained degree, showing courses taken and grades achieved together with dates, as well as its translation into English or Spanish. e) Photocopy of academic degree or deposit made for the issuance of degree. f) Applicant’s updated résumé. g) Statement of motivation about your research interests h) 2 reference letters i) Supporting documents of knowledge of Spanish or English. Admission Beneficiaries must join the corresponding research body within the scheduled period as provided in the award decision. In the event that he/she does not join within the scheduled period, the scholarship will be canceled, unless the beneficiary has been granted an adjournment period (to be authorized only by the General Director of Scientific Policy) for a maximum period of three months from the date specified in the award decision. Beneficiary may not recover said adjournment period. Temporary suspension of scholarship The voluntary suspension, previously authorized by the General Director of Scientific Policy, shall not exceed 6 months from the whole period of scholarship and during such suspension period no stipend shall be paid. For further information contact: Mail_to: robinlab(a)uji.es UJI Robotic Intelligence Lab http://robinlab.uji.es ****** Personal data (see (a) above) NATIONAL ID / PASSPORT NO. OR EQUIVALENT: SURNAME: NAME: NATIONALITY: DATE OF BIRTH (YYYY/MM/DD): GENDER: ADDRESS FOR NOTIFICATION ADDRESS (STREET / SQUARE): No..: POSTCODE: COUNTRY: PROVINCE: CITY: PHONE : MOBILE PHONE: E-MAIL: SUMMARY OF ACADEMIC RECORD ACADEMIC DEGREE: UNIVERSITY: STUDIES END DATE (YYYY/MM/DD):

May 2, 2014

2 PhD positions at the Institute of Neuroinformatics, Zurich, Switzerland

by Jean-Pascal Pfister

Applications are invited for two PhD student positions at the Institute of Neuroinformatics (ETHZ, UZH) in Zurich. The positions are funded by the Swiss National Science Foundation grant entitled "Inference and Learning with Spiking Neurons". The PhD students will be supervised by Jean-Pascal Pfister in the Theoretical Neuroscience Group. There are several lines of evidence showing that the brain combines unreliable sensory informations in a Bayesian optimal way. The aim of the project is to determine how Bayesian inference and learning can be implemented at the level of neurons and synapses. The Institute of Neuroinformatics in Zurich (which is a joint institute belonging to both the Swiss Federal Institute of Technology (ETHZ) and the University of Zurich) offers an ideal environment for studying Computational Neuroscience due to the presence of multiple theoretical and experimental labs. Candidates should hold a Diplom/Master degree in Physics, Mathematics, Machine learning, Computational Neuroscience or a related field. They should have a strong analytical background and demonstrate interest in theoretical neuroscience. Preference will be given to candidates with good programming skills. The position is offered for a period of three years, starting on the 1st of September 2014 at earliest. Salary scale is provided by the Swiss National Science Foundation (www.snf.ch) Applicants should submit (by email) a CV, a statement of research interests, 2 reference letters, marks obtained for the Diploma/Master, abstract of the Diploma/Master to Jean-Pascal Pfister (pfister(a)pyl.unibe.ch) Deadline for application is 30th of Mai 2014 or until the positions are filled. --------------------------------- Jean-Pascal Pfister, PhD Theoretical Neuroscience Group Physiology Department, University of Bern 5 Bühlplatz, CH-3012 Bern, CH e-mail: pfister(a)pyl.unibe.ch URL: http://www.physio.unibe.ch/~pfister/ tel: ++41 31 631 35 09 From the 1st of September 2014: Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland

May 2, 2014

Workshop and lecture series on "Cognitive neuroscience of auditory and cross-modal perception"

by Norbert Kopco

Workshop and lecture series on "Cognitive neuroscience of auditory and cross-modal perception" 26 - 30 May 2014 (Lectures 26 - 28 May, Consultations 29 - 30 May) Web: http://pcl.upjs.sk/Workshop2014/ Venue: Institute of Computer Science Faculty of Science, P. J. Safarik University Jesenna 5, 040 11 Kosice, Slovakia Organizers: doc. Norbert Kopco, PhD. (norbert.kopco(a)upjs.sk) - scientific program Beata Tomoriova, PhD. (beata.tomoriova(a)upjs.sk) - technical Perception and Cognition Lab Contact: kogneuro(a)gmail.com Objectives: This workshop and lecture series will include introductory lectures and advanced research talks on a range of topics related to the neural processes of auditory, visual and cross-modal perception. The talks will illustrate multidisciplinary character of cognitive neuroscience research, covering behavioral, neuroimaging, and modeling approaches, as well as applications of the research in auditory prosthetic devices. The workshop is aimed at early-stage and advanced students and young researchers, and it will provide ample opportunities for direct interactions between the lecturers and the attendees. Themes: spatial hearing vision and crossmodal perception neural modeling methods in cognitive neuroscience: behavioral experiments, imaging (EEG, fMRI), modeling applications: cochlear implants, hearing aids Format of lectures on 26 - 28 May: 14 one-hour lectures by experts on individual topics (2 lectures per expert) student / attendee session with short 10-min presentations and/or posters by the students small modeling / data analysis assignments prepared by the experts for the students Some of the lecturers will be available for individual consultations by appointment following the lectures on 29 - 30 May 2014 Program: TBA Speakers (and tentative topics): Simon Carlile (University of Sydney) Six degrees of spatial separation - The portal for auditory perception (abstract) The plastic ear: Perceptual relearning and auditory spatial perception (abstract) Pierre Divenyi (Stanford University) Cocktail-party effect deficit in aging: what formant transition processing tells us Phonemic restoration: done by our brain or our tongue? Frederick (Erick) Gallun (US Dept. of Veterans Affairs and Oregon Health & Science University) Impacts of age and hearing loss on spatial release from masking (abstract) Characterizing attentional resources using the auditory dual-task (abstract) Bernhard Laback (Austrian Academy of Sciences) Binaural cues in electric hearing Spectral localization cues in acoustic and electric hearing Aaron Seitz (University of California, Riverside) Cognitive Neuroscience of Perceptual Learning: Specificity and Transfer Cognitive Neuroscience of Perceptual Learning: Mechanisms Guiding Learning Christopher Stecker (Vanderbilt University) Integration of spatial information across multiple cues Neuroimaging of spatial hearing Arash Yazdanbakhsh (Boston University) Neural and computational models of vision: Fundamental problems of vision (abstract) Neural and computational models of vision: Neural models and their implementation in early vision (abstract) Registration: The workshop is open to all interested students/scientists. Registration is free of charge but required (mostly for organizational reasons). In order to register, please send an email to kogneuro(a)gmail.com stating your name and affiliation, dates on which you are planning to attend. In case you would like to have a presentation please send us an abstract (up to 200 words) and an indication whether you prefer poster or oral presentation no later than May 19. Travel, accommodation, visitor information: Attendants are kindly requested to make their own travel and accommodation arrangements. Travel:The Kosice Airport is served by Austrian Airlines and Czech Airlines (via Vienna, Prague, Bratislava) and by low-cost airline Wizzair (London Luton Airport). Alternatively you can fly to Budapest and take a 3.5-hr shuttle bus to Kosice (for example, using the cassoviaexpres shuttle company which also offers shuttle bus from the Krakow airport). More information about how to get to Kosice (also by train or bus) can be found here. Accomodation:There are several hotels close to workshop venue, for example Hotel Yasmin, Hotel Maraton (for more hotel options please see http://www.booking.com, http://www.hotels.com, for hostels see: http://www.hostels.com, http://www.hostelworld.com) Visitor information: Kosice was one of the European Capitals of Culture in 2013, for current events see http://www.visitkosice.eu/ , http://www.mickosice.sk/, http://slovakia.travel/ , or http://www.slovakia.com/ Funding: This workshop / lecture series is organized within the Project implementation: SOFOS – knowledge and skill development of the academic staff and students at the University of Pavol Jozef Safarik in Kosice with emphasis on interdisciplinary competencies and integration into international research centres, ITMS: 26110230088, supported by the Research & Development Operational Programme funded by the ESF. -- doc. Norbert Kopco, Ph.D. Inst of Computer Sci, Faculty of Science, Safarik Univ, Kosice, Slovakia Visiting Scholar: Ctr for Computational Neurosci (CompNet), Boston Uni & Martinos Ctr for Biomed Imaging, Harvard Med School - Mass Gen Hospital Phone: +1 (617) 575 9556 Fax: +1 (484) 727 9884 Email: kopco(a)bu.edu Web: http://cns.bu.edu/~kopco

May 1, 2014

Phd position in the Human Brain Project: Principles of Brain Computation and Learning

by Wolfgang Maass

We are inviting applications for a fully funded Phd position at the Graz University of Technology (Faculty for Computer Science) for research on Principles of Brain Computation and Learning in the Human Brain Project https://www.humanbrainproject.eu/ It is planned to combine this Phd position with a part-time position as University Assistant, thereby providing the first step for a possible university career. Our Lab in Graz focuses currently on the development of new paradigms for probabilistic inference and learning in networks of spiking neurons (either in brain networks, or in neuromorphic hardware). Preceding results on which we will build can be found on http://www.igi.tugraz.at/maass/publications.html Excellent research skills, a genuine interest in answering fundamental open questions about computation and learning in networks of spiking neurons, and the capability to work in an interdisciplinary research team are expected. Applications are especially invited by students who have a strong background in a theoretical area related to machine learning, computational theory or probabilistic models, and who also have substantial experience in programming and computer simulations. Our doctoral program will lead to a Phd in Computer Science. Please send your CV, information about your grades, and a letter describing your scientific interests and goals by May 21 to my assistant Regina Heidinger: regina.heidinger(a)igi.tugraz.at It would be helpful if you could include names and email addresses of referees, and pdf files of your master thesis and/or other publications. -- Prof. Dr. Wolfgang Maass Institut fuer Grundlagen der Informationsverarbeitung Technische Universitaet Graz Inffeldgasse 16b , A-8010 Graz, Austria Tel.: ++43/316/873-5822 Fax ++43/316/873-5805 http://www.igi.tugraz.at/maass/Welcome.html

April 30, 2014

CoSMo 214: extended deadline! - May 5, 2014

by Gunnar Blohm

Due to continues interest, we have decided to extend the application deadline for CoSMo 2014! This is a tremendous opportunity for students and postdocs to get hands-on training in computational neuroscience. *Extended deadline: May 5, 2014* http://www.compneurosci.com/CoSMo/ Best Gunnar Blohm, Konrad Körding, Paul Schrater (organizers) -- ------------------------------------------------------- Dr. Gunnar BLOHM Assistant Professor in Computational Neuroscience Centre for Neuroscience Studies, Departments of Biomedical and Molecular Sciences, Mathematics & Statistics, and Psychology, School of Computing, and Canadian Action and Perception Network (CAPnet) Queen's University 18, Stuart Street Kingston, Ontario, Canada, K7L 3N6 Tel: (613) 533-3385 Fax: (613) 533-6840 Email: Gunnar.Blohm(a)QueensU.ca Web: http://www.compneurosci.com/

April 29, 2014

Gatsby Computational Neuroscience Unit, PhD Programme

by Peter Dayan

Gatsby Computational Neuroscience Unit, University College London 4 year PhD Programme The Gatsby Unit is a centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian and nonparametric statistics, kernel methods, and applications of these to the analysis of perceptual processing, neural data, machine vision and bioinformatics. It provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, and with other world-class research groups in related departments at UCL, including the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, with which we will shortly share a building, and Biosciences, Computer Science, Functional Imaging, Physics, Physiology, Psychology, Neurology, Ophthalmology and Statistics, the cross-faculty Centre for Computational Statistics and Machine Learning, and also with other UK and overseas universities. The Unit has openings for exceptional PhD candidates. Applicants should have a strong analytical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. The PhD programme lasts four years, including a first year of intensive instruction in techniques and research in theoretical neuroscience and machine learning. All students are fully funded, regardless of nationality. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships. We will review applications as soon as they are complete (including a CV, statement of research interests and letters from three referees) until the positions are filled. Early application is thus advised. Full details of our programme, and how to apply, are available at: http://www.gatsby.ucl.ac.uk/teaching/phd For further details of research interests please see http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/members.html

April 29, 2014

Postdoc EEG data analysis and source modeling

by Thomas Knoesche

The Research & Development Unit „MEG and Cortical Networks“ at the Max-Planck-Institute for Human Cognitive and Brain Science at Leipzig offers a position as POSTDOCTORAL RESEARCHER in the area of Medical Signal Processing and Biophysical Modelling. The research project aims at the development of fast and effective processing techniques for EEG data. The task of the successful applicant will be to develop methods for artefact identification and correction, spatial interpolation and source reconstruction. The successful applicant holds a PhD degree in informatics, mathematics, physics, biomedical engineering, electrical engineering or similar. Experience with the measurement and analysis of brain signals is an advantage, but not essential. A keen interest in the biological foundations of cognition should be present. Decent programming skills are of importance. In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Disabled applicants are preferred if qualification is equal. The position is available for 2 years. Payment is according to the German scale TVöD 13. The selection procedure starts as the applications come in. Please send your application by email, citing the code number "PD 14" to: PD Dr.habil. Thomas R. Knösche Max Planck Institute for Human Cognitive and Brain Sciences Stephanstraße 1A, 04103 Leipzig, Germany [phone: +49 341 9940-2619] [email: knoesche(a)cbs.mpg.de]

April 29, 2014

Fully funded PhD position in the Neural Computation Lab Italian Institute of Technology

by Stefano Panzeri

I have an open fully funded PhD position in computational neuroscience in my laboratory at the Italian Institute of Technology in Trento. Stipend, tuition fees and research expenses of the successful candidate will be fully covered by the Italian Institute of Technology. The topic of investigation is how neuronal populations encode and exchange sensory information. The successful candidate will begin the PhD in November 2014 and will be registered with the Doctoral Programme at the University of Trento (ranked 1 st in Italy according to the Times Higher Education). All PhD courses are given in English, and the working language of the research institute is English. The selection requires a Master level degree (Laurea Magistrale or equivalent), a certifiable B2 level of English (or BA/BS/MA/MSc done entirely in English), and a proposed research project. There are no constraints on nationality for the applicants. *The deadline for applications is* *Tuesday May 13, 2014 at 4:00 p.m Italian Time.* Please visit the Doctoral Programme’s website http://www.unitn.it/en/drcimec/10140/admission-doctoral-school-cognitive-an… for information pertaining to the timeline of the application process and for a link to the actual online application. Note that the candidates will have to apply for the topic “computational neuroscience” (see http://www.unitn.it/en/drcimec/32957/30th-cycle-topics-2014-call) and submit with application a brief summary of the proposed research project applicants will submit. This brief document should be intended as a description of the candidate’s research interests within computational neuroscience rather than a detailed research project. Interested candidates are strongly encouraged to write to me ( stefano.panzeri(a)iit.it) as soon as possible attaching their CV to discuss the application further. However, applications will be formally considered only if submitted through the above official link of the University of Trento PhD selection programme. Regards Stefano Panzeri Research Professor Italian Institute of Technology Neural Computation Laboratory – Rovereto (Trento) Italy http://cncs.iit.it/people/iit-unitn-neural-computation/senior-researcher/st… http://cncs.iit.it/research-labs/neural-computation.html

April 29, 2014

NEURON Summer Course openings

by Ted Carnevale

Space is still available in the NEURON Summer Course, but you'll have to act quickly to make sure you qualify for the early registration rates. 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. Apply by Friday, May 9, and pay only $1050 for the Fundamentals course $650 for the Parallel Simulation course $1600 for both Registration fees for applications received after May 9 are $1200 for Fundamentals $750 for Parallel Simulation $1800 for both These fees cover handout materials plus food and housing on the campus of UC San Diego. Registration is limited, and the registration deadline is Friday, May 30, 2014. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/courses --Ted

April 28, 2014