- Comp-neuro - lists.cnsorg.org

PhD Studentships City University London

by Alonso, Eduardo

Dear all, City University London is advertising PhD studentships (£16,000 per year plus full tuition waiver). Details on how to apply can be found at http://www.city.ac.uk/citygraduateschool/fees-and-funding/university-doctor… If you are interested in applying in the area of computational neuroscience, please contact Eduardo Alonso (E.Alonso(a)city.ac.uk) Deadline for submission is 25th May. Best, --------------- Dr Eduardo Alonso Reader in Computing Deputy Head of Department Department of Computer Science City University London London EC1V 0HB E.Alonso(a)city.ac.uk tel: +44 20 7040 4049 fax: +44 20 7040 0244 http://www.city.ac.uk/people/academics/eduardo-alonso http://www.cal-r.org

April 18, 2015

IJCAI’15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models (3rd CfP)

by Alessandro Antonucci

IJCAI’15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models Buenos Aires, July 25-27, 2015 - http://ipg.idsia.ch/wijcai15/ THIRD CALL FOR PAPERS Papers will be published in a volume of the JMLR Workshop and Conference Proceedings series. (http://jmlr.csail.mit.edu/proceedings) [SCOPE] Probabilistic graphical models are important tools in machine learning and artificial intelligence for reasoning with uncertainty. They provide means to represent large multivariate domains compactly and to perform sophisticated learning and reasoning efficiently. Examples of probabilistic graphical models are Bayesian networks, Markov Random fields, chain and factor graphs, Gaussian graphical models, to name but a few. The quantification of these models usually requires sharp (i.e., precise) assessments of the model local potentials and might be subject to robustness issues. For instance, perturbations of some parameter values may lead to different decisions from those which would be achieved by the unperturbed model, suggesting that decisions are not reliable. Reliability might also be in question because of missing data and assumptions behind the process. The workshop invites submissions of papers on all aspects of sensitivity analysis and robustness in probabilistic graphical models. Contributions may have a theoretical focus and/or an applied focus. A non-exhaustive list of topics follows. - Local and/or global sensitivity analysis. - Parameter-based and/or decision-based sensitivity analysis. - Design of robust learning, inference and/or decision making approaches. - Robust analysis and design of robustness measurements. - Extensions of probabilistic graphical models. - Reliable qualitative learning and reasoning. - Robust treatment of missing data. - Imprecise probability and other theories related to sensitivity analysis. - Computational complexity, exact and approximate algorithms. Papers about more general robust multivariate models based on independence or othr structural judgements are also welcome. [SUBMISSIONS] Each submission will be reviewed by peers using a double-blind process (please use the third person in self citations and take all necessary care not to identify yourselves). Accepted papers will be published electronically in a volume of the JMLR Workshop and Conference Proceedings series. There will be no rebuttal phase, but contributions considered worth publishing and needing substantial revision might be subject to a second round of reviewing/evaluation. All accepted papers will be presented at the workshop. At least one of the paper's authors should register and attend the workshop to present the work. Submissions must be formatted according to style and template files available for the Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings - two-column version. The files are available at http://ipg.idsia.ch/wijcai15/sarpgm15.tar.gz. Papers (including figures, tables, references, etc) are expected to have between 6 and 10 pages. [IMPORTANT DATES] Apr 27, 2015 - Deadline for submissions of contributions May 20, 2015 - Workshop paper acceptance notification May 30, 2015 - Deadline for workshop camera-ready copy (in case of minor revision; contributions needing major revision might need additional time - this will be arranged case by case) [PC MEMBERS] Alessandro Antonucci*, IDSIA, Switzerland. Alessio Benavoli, IDSIA, Switzerland. Cassio P. de Campos*, Queen's University Belfast, UK. Arthur Choi, University of California, Los Angeles, USA. Giorgio Corani*, IDSIA, Switzerland. Fabio Cozman, University of Sao Paulo, Brazil. Adnan Darwiche, University of California, Los Angeles, USA. Sebastien Destercke, Univ. de Technologie de Compiegne, France. Marek Druzdzel, University of Pittsburgh, USA. Johan Kwisthout, Radboud University Nijmegen, The Netherlands. Agnieszka Onisko, Bialystok University of Technology, Poland. Denis Maua, University of Sao Paulo, Brazil. Serafin Moral, Universidad de Granada, Spain. Silja Renooij, Universiteit Utrecht, The Netherlands. Matthias Troffaes, University of Durham, UK. (*: Workshop organizers.) More details about the submission procedure are available online. http://ipg.idsia.ch/wijcai15/ ++++++++++++++++++++++++++++++++++++++++ (We apologize in case you receive multiple copies of this announcement, but yet we hope to reach the greatest possible number of people. Finding a trade-off is not an easy task.) -- _________________________________ Alessandro Antonucci IDSIA Dalle Molle Institute for Artificial Intelligence Via Cantonale (Galleria 2) CH-6928, Manno-Lugano, CH mail: alessandro(a)idsia.ch skype: alessandro.antonucci tel: +41 916108515 web: www.idsia.ch/~alessandro _________________________________

April 18, 2015

Journal of Mathematical Neuroscience - recent articles

by Stephen Coombes

Dear all, The Journal of Mathematical Neuroscience publishes research articles on the mathematical modeling and analysis of all areas of neuroscience. The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : A Mathematical Model of a Midbrain Dopamine Neuron Identifies Two Slow Variables Likely Responsible for Bursts Evoked by SK Channel Antagonists and Terminated by Depolarization Block Yu N and Canavier CC http://www.mathematical-neuroscience.com/content/5/1/5 Path Integral Methods for Stochastic Differential Equations Chow CC and Buice MA http://www.mathematical-neuroscience.com/content/5/1/8 A Formalism for Evaluating Analytically the Cross-Correlation Structure of a Firing-Rate Network Model Fasoli D, Faugeras O and Panzeri S http://www.mathematical-neuroscience.com/content/5/1/6 Modeling Focal Epileptic Activity in the Wilson–Cowan Model with Depolarization Block Meijer HGE, Eissa TL, Kiewiet B, Neuman JF, Schevon CA, Emerson RG, Goodman RR, McKhann GM et al. http://www.mathematical-neuroscience.com/content/5/1/7 Noise-Induced Precursors of State Transitions in the Stochastic Wilson–Cowan Model Negahbani E, Steyn-Ross DA, Steyn-Ross ML, Wilson MT and Sleigh JW http://www.mathematical-neuroscience.com/content/5/1/9 and see also the recent Special Issue on Uncertainty and the Brain http://www.mathematical-neuroscience.com/series/UB All articles are Open Access. Best regards, Steve ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

April 17, 2015

NEURAL COMPUTATION - May 1, 2015

by Terry Sejnowski

Neural Computation - Volume 27, Number 5 - May 1, 2015 Available online for download now: http://www.mitpressjournals.org/toc/neco/27/5 ----- Article Self-Organization of Control Circuits for Invariant Fiber Projections Tomas Fernandes, Christoph von der Malsburg Letters A Computationally-efficient Method for Incorporating Spike Waveform Information Into Decoding Algorithms Valerie Ventura, Sonia Todorova Coding Accuracy Is Not Fully Determined by the Neuronal Model Lubomir Kostal, Petr Lansky Solving Stereo Transparency With an Extended Coarse-to-fine Disparity Energy Model Zhe Li, Ning Qian Simultaneous Multi-Channel Signal Transfers Via Chaos in a Recurrent Neural Network Ken-ichiro Soma, Ryota Mori, Ryuichi Sato, Noriyuki Furumai, and Shigetoshi Nara Input Anticipating Critical Reservoirs Show Power Law Forgetting of Unexpected Input Events Norbert Michael Mayer Learning Dynamics of a Single Polar Variable Complex-Valued Neuron Tohru Nitta On-line EM With Weight-Based Forgetting Enric Celaya, Alejandro Agostini ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2015 - VOLUME 27 - 12 ISSUES Student/Retired $75 Individual $134 Institution $1,075 MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu ------------

April 17, 2015

Data Scientist - Healthcare

by Purushothaman, Gopathy

Several Data Scientist positions are available in a large, publically-traded healthcare organization. Data Scientists will work with the business to understand business problems, analyze relevant data, interpret the results, and provide reports. Knowledge areas include, but are not limited to, Root cause identification, Clustering, Regression, Supervised and unsupervised Machine learning, Hypothesis testing etc. Should exhibit strong passion for empirical research and for answering hard questions with data. Drive the collection of new data and the refinement of existing data source. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. M.S. or Ph.D. in a Math or Statistical field, or 4+ years’ experience in a relevant role. Will have experience solving analytical problems using quantitative approach. Coach other team members as appropriate, within area of expertise. Required skills: R, Matlab, SAS, or other statistical/scientific computing applications/platforms; SQL, scripting and programming languages. Email resumes to: Gopathy Purushothaman Ph.D. Data Scientist Parallon Business Performance Group 6640 Carothers Parkway Franklin, TN 37067 Gopathy.purushothaman(a)parallon.com<mailto:Gopathy.purushothaman@parallon.com> www.parallon.com<http://www.parallon.com>

April 16, 2015

Call for contributions: AI/Neuroengineering for biomedical applications: monitoring, signal processing, disease identification and diagnostic aspects

by Shyam Diwakar

Dear Colleagues, Sorry for cross-posting this CFP. Bentham Science is calling for a special issue: AI/Neuroengineering for biomedical applications: monitoring, signal processing, disease identification and diagnostic aspects . This special issue on “AI/Neuroengineering for biomedical applications: monitoring, signal processing, disease identification and diagnosis aspects” aims to overview the state of knowledge and applicability of current studies, and new proposed ideas in the form of original research articles and review papers that include, but are not limited to: • Mathematical and statistical methods in modelling single neuron and circuit functions • Biological cybernetics, medical image and signal processing, cascade models for intelligent devices. • Artificial intelligence for biomedical signal and image processing and disease diagnosis • Computational neuroscience and computational cognitive science • Biomedical instrumentation: intelligent methods for software and hardware • Human machine interfaces • Neural rehabilitation engineering • Machine learning, machine learning in conventional and big data models, algorithms, case studies and role of data in biomedicine • Mobile and wearable computing in biomedical engineering • Emerging biomedical technologies Manuscript deadline: July 15, 2015 See http://benthamscience.com/journal-files/special-issue-details/NBE-SII201502… http://benthamscience.com/journal/index.php?journalID=nbe#top Lead guest editor: Eldon Rene (e.raj(a)unesco-ihe.org) Thank you. Best regards, shyam -- Prof. Shyam Diwakar, Ph.D. Computational Neuroscience Lab, Amrita School of Biotechnology Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803116 Fax:+91-476-2899722 http://www.amrita.edu/compneuro

April 16, 2015

Abstract submission extended for IWSP7: Epilepsy Mechanisms, Models, Prediction & Control

by Levin Kuhlmann

Due to numerous requests the abstract submission deadline for IWSP7: Epilepsy Mechanisms, Models, Prediction and Control has been extended to April 30 2015. For more details visit the conference website at http://www.iwsp7.org and/or read below. The 7th International Workshop on Seizure Prediction (IWSP7: Epilepsy Mechanisms, Models, Prediction & Control) will bring together world leading epileptologists, engineers, physicists, mathematicians, neurosurgeons and neuroscientists to focus on epilepsy research in Melbourne Australia from 3-6 August 2015. Invited Speakers Samuel Berkovic, University of Melbourne, Australia (Genetics and individual-specific nature of epilepsy) Sydney Cash, Massachusetts General Hospital, Harvard Medical School, USA (Cortical physiology and epilepsy) Antonio Dourado, University of Coimbra, Portugal (Seizure Prediction and the EPILEPSIAE project) Bin He, University of Minnesota, USA (EEG-based imaging to localise seizure and high frequency activity) Louis Lemieux, University College London, UK (Multi-modal imaging of human epileptic zone and networks) Liset Menendez de la Prida, Instituto Cajal - CSIC, Spain (Sources of functional heterogeneity in the cellular activity of hippocampal microcircuits in temporal lobe epilepsy) Martha Morrell, Stanford University, Neuropace, USA (Responsive seizure control and its clinical implications) Philippe Ryvlin, Lyon University, France (Vagal nerve stimulation and seizure prediction) Bjoern Schelter, University of Aberdeen, UK (Recent advances in data-based modelling and their role in epilepsy research) Steven Schiff, Penn State University, USA (Unification of spikes, seizures and spreading depression) Piotr Suffczynski, University of Warsaw, Poland (Modelling of neuronal and ionic dynamics during ictogenesis) John Terry, University of Exeter, UK (Modelling multiscale brain networks: seizure initiation, evolution and prediction) Gregory Worrell, Mayo Clinic, USA (Forecasting epileptic seizures in dogs) Extended Abstract submission deadline: 30th April 2015. Notification of acceptance: 31st May 2015. Early bird registration: full: AU$465; Student/Early Career Researcher: AU$165. Early bird registration deadline: 30th June 2015. Standard registration: full: AU$565; Student/Early Career Researcher: AU$265. Over 30 generous travel stipends will be awarded to participants submitting the best abstracts as determined by the IWSP7 Scientific Advisory Board. The majority will be awarded to undergraduate or postgraduate students and early career researchers (people who completed their PhD within the period of the 3 years preceding 3rd August 2015). The best abstracts will also be selected for talks by the IWSP7 Scientific Advisory Board. Topics for abstracts include, but are not limited to: seizure prediction, detection and control; seizure mechanisms, animal models and human neurophysiology; neuroimaging of epilepsy/seizure localisation; computational modelling of epilepsy; epilepsy networks; high frequency oscillations; model-based estimation, statistical signal processing or control theory applied to epilepsy. The best work presented at IWSP7 will be invited to appear in a special issue in the International Journal of Neural Systems (Impact factor 6.056). The call for papers can be downloaded from the IWSP7 website. There will also be two A$500 prizes for the best posters at the conference. For information on the preliminary conference program, and how to submit abstracts and register visit: http://www.iwsp7.org Please forward this notice to anyone that you think might be interested. Or post the conference poster around your department. The poster can be obtained at the link: http://www.iwsp7.org/flyers/IWSP7_Call_for_Abstracts.pdf We would also like to draw your attention to two partner events: Melbourne Epilepsy which brings together Melbourne's best epilepsy researchers and will overlap at the same venue with IWSP7 on August 6th, and finish by 1pm on August 7th. Attendance is free for IWSP7 registrants. Swinburne Brain Imaging Symposium 2015: Principles and Applications of Magnetoencephalography is a meeting on MEG and neuroimaging occurring in Melbourne in the week preceding IWSP7 from June 29-30 2015. http://www.research.swinburne.edu.au/our-research/events/neuroimaging-sympo… We look forward to seeing you at IWSP7! On behalf of the local organizing committee Levin Kuhlmann, PhD David B. Grayden, PhD Mark J. Cook, MD Anthony N. Burkitt, PhD Dean R. Freestone, PhD Tatiana Kameneva, PhD Alan Lai, PhD Elma O'Sullivan-Greene, PhD Andre Peterson, BSc (hons) Email: organizingcommittee(a)iwsp7.org<mailto:organizingcommittee@iwsp7.org>

April 16, 2015

PhD fellowship: A window into the human mind - deadline for application April 23rd 2015

by Arnaud Delorme

We are searching for a PhD candidate from the EU (due to grant restrictions) with a master degree in physics/engineering, computer sciences or neuroscience and an interest in human/brain machine interfaces. The subject of the thesis is linked to the difficulties for human operator to control/monitor highly automated system. This performance problem remains difficult to characterize. In this project, analyzing brain activity in supervisory task, we aim to identify the neuro-functional correlates of this performance problem. The goal is to better understand how human operators interact highly automated system and make recommendation for the design of highly automated system or imagine brain computer interface to help the interaction between humans and machines. This project will be co-directed by two researchers in interdisciplinary fields, Bruno Berberian who is expert in human control of highly automated systems and Arnaud Delorme who is expert in mind wandering and EEG signal processing. The location of the PhD will be Salon de Provence in the south of France primarily and secondarily in Toulouse in the south east of France. If you are from the EU and are interested, please send your CV, two contacts for reference, a motivation letter (max one page) and reference letters (optional) to Bruno Berberian <Bruno.Berberian(a)onera.fr> before April 23rd, 2015. Please group all documents into one PDF for easier processing.

April 14, 2015

Registration deadline extension: Open Source Brain 2015: Building and sharing standardised neuronal models

by Padraig Gleeson

***Deadline for registration extended to 22nd April*** The third annual Open Source Brain Workshop takes place May 12-14th 2015, Alghero, Sardinia. http://opensourcebrain.org/docs/Help/Meetings#OSB_2015 The Open Source Brain initiative aims to encourage collaborative, open source model development in computational neuroscience and is primarily supported by the Wellcome Trust. As with past OSB meetings <http://www.opensourcebrain.org/docs#Meetings> this workshop will bring together experimentalists, theoreticians and tool developers who are interested in creating open, community developed models of neuronal systems. Researchers interested in building and sharing models of any brain region and from any species are welcome to attend the meeting. There will be presentations on the latest developments and functionality of the OSB resource and associated technologies including NeuroML and LEMS. There will also be a special focus session on Wed 13th May on creating and sharing experimentally constrained models of the hippocampus. Confirmed speakers: *Giorgio Ascoli*, Krasnow Institute, George Mason University, USA *Tiago Branco*, MRC Laboratory of Molecular Biology, Cambridge, UK *Claudia Clopath*, Imperial College London, UK *Michael Hines*, Yale University, USA *Peter Jonas*, Institute of Science and Technology, Austria *Julija Krupic*, O'Keefe Group, University College London, UK *Artur Luczak*, University of Lethbridge, Canada *Troy Margrie*, MRC National Institute for Medical Research, London, UK *Michele Migliore*, National Research Council, Italy & Yale University School of Medicine, USA *Yiota Poirazi*, Institute of Molecular Biology & Biotechnology, Foundation for Research & Technology Hellas, Greece *Martin Pyka*, University of Bochum, Germany *Stefan Remy*, German Center for Neurodegenerative Diseases, Bonn, Germany *Nelson Spruston*, Howard Hughes Medical Institute, Janelia Farm Research Campus, Virginia, USA Full details of the workshop can be found here: http://opensourcebrain.org/docs/Help/Meetings#OSB_2015. The meeting is free to attend, but registration is required (deadline April 22nd). The OSB 2015 organising committee ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

April 14, 2015

Workshop: Living systems, from interaction patterns to critical behavior.

by suweis infn

Workshop: Living systems, from interaction patterns to critical behavior Venezia, San Servolo Island 16-19 September 2015 http://www.pd.infn.it/~maritan/SanServolo/index.html <http://www.pd.infn.it/~maritan/SanServolo/index.html> *** DEADLINE FOR APPLICATION: June 15, 2015 **** Recent availability of large volumes of ecological and biological data spanning a wide range of scales, made it evident that, despite their diversity, living systems are characterized by patterns/regularities repeated from microscopic to global scales. This workshop aims to explore how these recurrent phenomena emerge as the result of concerted interactions among their constituent elements (e.g. species, or genes), using a combination of approaches inspired by statistical mechanics, network analysis and the theory of complex systems. The aim of the workshop is to introduce students and young researchers with strong background in quantitative sciences to methods and ideas used to describe such complex systems. The range of topics covered at the workshop is very broad, ranging from genomics to ecology, with the ultimate goal of identifying similarities and differences of complex biological systems operating at different scales. Fee* 150 euro. (*) We will grants 3 fee waivers to support the attendance of PhD students and Junior Post Doctoral researchers (no more than two years from their PhD completion). Prospective participants who are eligible should accompany send an email to the Organizing Committee (LIPh.unipd(a)gmail.com <mailto:LIPh.unipd@gmail.com>) requiring the fee waiver, providing the CV and a motivation letter. The acceptance will be notified together with the admission to the school. LECTURERS Sergey Maslov Kim Sneppen Antonio Celani Amos Maritan Stefano Allesina Joshua Weitz Speakers (Confirmed) Andrea Rinaldo Jayanth Banavar Henrik Jensen Flavio Seno Paolo De los Rios Achille Giacometti Guido Tiana Marco Cosentino Lagomarsino Sandro Azaele PROGRAM The workshop will present a wide-range of interdisciplinary problems using creative approaches grounded in statistical physics. In particular there will be three main sections: Bio, Bio2Eco (e.g. bacteria) and Eco. In each section it will be given a series of lectures and seminars. Follow update via Twitter: @Liph_lab For details see: http://www.pd.infn.it/~maritan/SanServolo/index.html <http://www.pd.infn.it/~maritan/SanServolo/index.html> On September 19 afternoon, we will organise a guided Tour in Venice that will conclude with the Social Dinner. ORGANIZING COMMITTEE Antonio Trovato University of Padova http://www.researchgate.net/profile/Antonio_Trovato2 <http://www.researchgate.net/profile/Antonio_Trovato2> Samir Suweis University of Padova http://www.pd.infn.it/~maritan/people/Samir/samir.html <http://www.pd.infn.it/~maritan/people/Samir/samir.html> Jacopo Grilli University of Chicago http://www.researchgate.net/profile/Jacopo_Grilli <http://www.researchgate.net/profile/Jacopo_Grilli> For more information and application: e-mail: liph.unipd(a)gmail.com <mailto:liph.unipd@gmail.com> Sponsored by the University of Padova, Department of Physics and Astronomy - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Samir Suweis, Ph.D. impactstory.org/SamirSuweis <https://impactstory.org/SamirSuweis> @SamirSuweis Post-Doc Researcher LIPh Lab, Physics Department, University of Padova Tel: +39 047 827 72 51 www.pd.infn.it/~maritan/people/Samir/samir.htm

April 14, 2015

Opening for a computer-vision scientist with deep-learning expertise

by Reza Khorshidi

Senior Scientist - Computer Vision and Deep Learning AIG, Special Projects Lab We are looking for a computer-vision scientist to lead the development and implementation of the algorithmic core of a series of exciting new projects in AIG's Special Projects Lab (part of AIG's Global Science team). The success in this role requires the ownership of a significant new work-stream in the team focused on solving complex computer vision problems (including, but not limited to, image representation, object recognition, and caption generation), using machine learning (particularly, deep learning methods such as convolutional neural networks) and high-performance computing (including, near real-time image analysis). The success in this role require the candidate to: 1) Employ the best of computer-vision research for solving business problems - disrupting the current practice in insurance 2) Build and refine computer vision and machine learning algorithms that can find patterns in large multi-modal data (particularly, images and videos) 3) Provide the business with data-driven apps, insights and strategies 4) Participate in, lead, create cross-functional projects 5) Communicate (both oral and written) with colleagues and stakeholders (both internal and external) 6) Review, direct, guide, inspire the research of more junior scientists in the team Above all, this role will provide a unique opportunity to enjoy state-of-the-art research and development; grow and be challenged in an entrepreneurial / start-up-like division of a large company; and create game-changing products for the insurance/financial industry. The candidate must have: 1) Scientific expertise and real-world experience in deep learning (convolutional neural networks, restricted Boltzmann machines, and deep neural networks). 2) Strong background in basic machine learning and statistical modeling (e.g., classification, regression, and clustering) 3) Strong track record in related scientific fields (e.g., machine learning, computer science, engineering, statistics, and robotics) 4) Expertise in programming (e.g., C++, CUDA, Python, R and Java) and computing technologies (high-performance computing and/or big-data platforms) 5) Ability to use existing machine/deep learning libraries (e.g., Torch, Theano, Caffe, and SciKitLearn) The Ideal candidate would also have: 1) Track record in integrating machine learning with real-time computing (including mobile apps and front-end systems) 2) Experience in employing machine learning in a commercial/business setting – in collaboration with product (back-end and front-end) development teams. 3) Experience in applying machine learning (ideally, deep learning) to problems in one of the following domains: Natural language processing, signal processing, and speech processing. 4) Publication record in (and willingness to represent AIG in) scientific conferences such as NIPS, CVPR, ICML, ICCV, ECCV, ICLR, and IJCV. 5) Broad knowledge of machine learning (including topics such as graph theory, hierarchical modeling, and Bayesian inference) 6) Practical experience of modern big-data computing ecosystems such as Apache Spark 7) Proven track record in leading scientific projects In order to apply, please follow the link here <http://www.aig.com/job-search_3171_440685.html?cpUrl=https://careers.people…>. For any (informal) inquiries, please feel free to contact Hannah Gibson (hannah.gibson(a)aig.com <mailto:hannah.gibson@aig.com>). -- Reza Khorshidi, D.Phil. (Oxon) Head, Special Projects Lab | Director (EMEA), Quantitative Analytics AIG, London

April 14, 2015

Two openings for signal-processing and NLP scientists with deep-learning expertise

by Reza Khorshidi

Senior Scientists - Deep Learning and NLP / SSP AIG, Special Projects Lab We are looking for a machine-learning scientist to lead the development and implementation of the algorithmic core of a series of exciting new projects in AIG's Special Projects Lab (part of AIG's Global Science team). The success in this role requires the ownership of a significant new workstream in the team focused on solving natural language process (NLP) and/or speech and signal processing (SSP) problems (including, but not limited to, data representation and predictive modelling - particularly, using deep learning) and high-performance computing (including, near real-time data analysis). Success in this role require the candidate to: 1) Employ the best of NLP and SSP research for solving business problems - disrupting the current practice in insurance 2) Build and refine NLP/SSP and machine learning algorithms that can find patterns in large multi-modal data 3) Provide the business with data-driven apps, insights and strategies 4) Participate in, lead, create cross-functional projects 5) Communicate (both oral and written) with colleagues and stakeholders (both internal and external) 6) Review, direct, guide, inspire the research of more junior scientists in the team Above all, this role will provide a unique opportunity to enjoy state-of-the-art research and development; grow and be challenged in an entrepreneurial / startup-like division of a large company; and create game-changing products for the insurance/financial industry. The candidate must have: 1) Scientific expertise and real-world experience in deep learning (convolutional neural networks, restricted Boltzmann machines, and deep neural networks) - applied to NLP and/or SSP. 2) Strong background in basic machine learning and statistical modelling (e.g., classification, regression, and clustering) 3) Strong track record in related scientific fields (e.g., machine learning, computer science, engineering, statistics, and robotics) 4) Expertise in programming (e.g., C++, CUDA, Python, R and Java) and computing technologies (high-performance computing and/or big-data platforms) 5) Ability to use existing machine/deep learning libraries (e.g., Torch, Theano, Caffe, and SciKitLearn) The Ideal candidate would also have: 1) Track record in integrating machine learning with real-time computing (including mobile apps and front-end systems) 2) Experience in employing machine learning in a commercial/business setting – in collaboration with product (back-end and front-end) development teams. 3) Experience in applying machine learning (ideally, deep learning) to problems in more than one domain (e.g., Vision, NLP, SSP, …). 4) Impressive publication record in the top scientific journals. 5) Publication record in (and willingness to represent AIG in) scientific conferences such as NIPS, ICML, ACL, EMNLP, NAACL, EACL, COLING, SIGIR, ICCV, ECCV, ICLR, and CVPR. 6) Broad knowledge of machine learning (including topics such as graph theory, hierarchical modelling, and Bayesian inference) 7) Practical experience of modern big-data computing ecosystems such as Apache Spark 8) Proven track record in leading scientific projects In order to apply, please follow the link here <http://www.aig.com/job-search_3171_440685.html?cpUrl=https://careers.people…>. For any (informal) inquiries, please feel free to contact Hannah Gibson (hannah.gibson(a)aig.com <mailto:hannah.gibson@aig.com>). -- Reza Khorshidi, D.Phil. (Oxon) Head, Special Projects Lab | Director (EMEA), Quantitative Analytics AIG, London

April 14, 2015

PhD position, University of Genoa, Italy – "Multidimensional peripersonal space sensing"

by Silvio P. Sabatini

Applications are invited for one full-time PhD studentship (with scholarship) for a period of 3 years, at “The Physical Structure of Perception and Computation” (PSPC) lab of the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy. The position, starting Nov 1st 2015, is on one of the following research projects: 1/ Representing peripersonal space through sensorimotor likelihoods. The activity will focus on the design of theoretical models by converting computational approaches from engineering into cortical-like models of implicit representations of the peripersonal space. 2/ Integration of motion-in-depth multi-sensory information flows in the peripersonal space. The goal of the project is to investigate how different cross-modal information can enable arm and hand-related actions in the peripersonal space. Specifically, the focus will be on the development of a neuromorphic cognitive system for detecting/encoding motion-in-depth multimodal information flows relative to body parts. Both projects will provide the opportunity to work on neural modeling, visual psychophysics, robotics, or a combination of them. Experimental, modeling, and theoretical approaches might be pursued with a different accent according to personal attitude. Ongoing cooperation, at international level, with research groups of different disciplines, will ensure a highly interdisciplinary and stimulating environment. Successful applicants would have a good honors _Master degree_ in Engineering, Computer Science, Physics or related disciplines, strong interest in computational neuroscience, and an open mind for interdisciplinary research. Online application are available from April 13, 2015 at 12.00 noon (Italian time) to June 10, 2015 at 12.00 noon (Italian time). Full details on the call and the application procedure will soon be available at: http://www.studenti.unige.it/postlaurea/dottorati/XXXI/ENG/ and http://phd.dibris.unige.it/biorob/index.php/how-to-apply Prospective students, please contact Silvio Sabatini (silvio.sabatini(a)unige.it) providing your CV and qualifications, the name and contact details of two references, and a description of your research interests indicating which of the two positions you are interested in. DIBRIS is a unique inter-school department of the University of Genoa, bridging together researchers from the former Science and Engineering Faculties. It offers an excellent multidisciplinary, interactive and collaborative research environment combining expertise in computer vision, computational neuroscience, neuromorphic computing, robotics and mechatronics. PSPC-Lab (www.pspc.unige.it) has a long-standing expertise in visual coding and multidimensional signal representation, robot perception and computer vision. In the last five years, the lab’s research activity focused on the analysis of the structural mechanisms of visuo-spatial cognition, responsible for orienting and interacting in the 3D space. -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] Professor of Bioengineering DIBRIS - University of Genova | e_mail:silvio.sabatini@unige.it Via Opera Pia, 11A | phone: +39 010 3532092/3532794 I-16145 Genova (ITALY) | fax: +39 010 3532289/3536533 URL:http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein]

April 14, 2015

INNS-BigData 2015 San Francisco: Student Travel Awards + Deep Learning Workshop Special Registration + Paper deadline extension to 19 April, 2015.

by Asim Roy

Dear Colleagues, Please note that we have several Student Travel Awards in the $300 to $500 range. Application forms are available on our website: www.innsbigdata.org<http://www.innsbigdata.org> . The application deadline is April 30, 2015. Also note that the paper submission deadline is April 19th, 2015. We are opening up the Deep Learning Workshop to everyone with a separate registration fee. The goal of the workshop is to “exchange and ignite new ideas and techniques through open discussions and to form new directions and goals as a group.” See details on our website. There is a $2000 Elsevier Best Paper Award. Both theoretical and application papers will be considered for the award. Best regards, Asim Roy Arizona State University Tempe, AZ 85287, USA www.lifeboat.com/ex/bios.asim.roy<http://www.lifeboat.com/ex/bios.asim.roy> INNS Big Data Section: http://www.inns.org/big-data-section.

April 13, 2015

Call for Papers: Special Issue on Neuroimaging in clinical practice - towards prognosis and prediction of treatment response

by Rondina, Jane

Dear colleagues, In collaboration with Frontiers in Neuroscience and Frontiers in Neurology, section Brain Imaging Methods, we are organizing a Research Topic titled "Neuroimaging in clinical practice - towards prognosis and prediction of treatment response", hosted by Jane Rondina, Nick Ward and Geraldo Busatto. As host editor, I would like to encourage you to contribute to this topic. Please find more information about Research Topics below, including the publishing fees that apply. You can also visit the homepage we have created on the Frontiers website, which defines the focus of the topic, and where all published articles will appear. http://www.frontiersin.org/Brain_Imaging_Methods/researchtopics/Neuroimagin… Please note the submission deadline for this Research Topic: Sep 04, 2015 Should you choose to participate, please confirm by sending me a quick email (j.rondina(a)ucl.ac.uk<mailto:j.rondina@ucl.ac.uk>) and then your abstract no later than June 05, 2015 using the link above. As I am using the Frontiers system to manage this topic, please first indicate your decision to participate by clicking on one of the following links. AGREE to Participate http://www.frontiersin.org/AcceptContributor.aspx?activationkey=09bcb997-ff… DECLINE to Participate http://www.frontiersin.org/DeclineContributor.aspx?activationkey=09bcb997-f… This Research Topic is hosted in the specialty section of Brain Imaging Methods, which is a section within Frontiers in Neuroscience and Frontiers in Neurology; thus it is possible to submit through either of those journals. Let me know if you have any questions about our Research Topic. I look forward to hearing from you soon. With best regards, Jane Maryam Rondina j.rondina(a)ucl.ac.uk<mailto:j.rondina@ucl.ac.uk> Guest Associate Editor, Brain Imaging Methods www.frontiersin.org<http://www.frontiersin.org/> ABOUT FRONTIERS RESEARCH TOPICS Founded by scientists in 2007, Frontiers is a community-rooted open-access publisher, driving innovations in peer review, article-level metrics and research networking. The "Frontiers in" journal series hosts 48 journals covering more than 350 academic specialties, with a network of over 170,000 leading researchers worldwide. Frontiers is a registered member of the Open Access Scholarly Publishers Association (http://www.oaspa.org/member/Frontiers) and was recognized by the ALPSP Award for Innovation in Publishing in 2014. The idea behind a Frontiers Research Topic is to create a comprehensive collection of peer-reviewed articles that address a specific theme of research, as well as a forum for discussion and debate. Contributions can be articles describing original research, methods, hypothesis & theory, opinions, and more. Please see the relevant journal for a full list of accepted article types. Frontiers will also compile an e-book, as soon as all contributing articles are published, that can be used as educational material, be sent to foundations that fund your research, to journalists and press agencies, or to your professional network. E-books are free to read and download. Once published, your articles will be free to access for all readers, indexed in relevant repositories, and as an author in Frontiers, you retain the copyright to your own papers and figures.

April 13, 2015

[WI-IAT 2015] IAT'15 Paper Submission Deadline extended to 15th May

by Teng Teck Hou

[Apologies if you receive this more than once] ####################################################################### CALL FOR PAPERS IEEE/WIC/ACM International Conference on Intelligent Agent Technology 2015 (IAT 2015) Big Data in Global Brain and Social Networks December 6-9, 2015 / Singapore Homepage: http://wi-iat15.ntulily.org Sponsored By: IEEE Computer Society Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) Memetic Computing Society (MC) (EXTENDED FULL PAPER SUBMISSION DEADLINE: *** May 15, 2015 ***) ####################################################################### ++++++++++++++++ KEYNOTE SPEAKERS ++++++++++++++++ * Joseph Sifakis (Turing Award 2007) Professor at Ecole Polytechnique Federale de Lausanne (EPFL) Director, Centre de Recherche Integrative (CRI) in Grenoble, France * Francis Heylighen Director, Global Brain Institute Professor at Free University of Brussels, Belgium * Steven E. Koonin Director, Center for Urban Science and Progress New York University, USA * Gee-Wah Ng Programme Director, DSO National Laboratories, Singapore * Sarit Kraus (AAAI, ECCAI and ACM Fellow) Professor of Computer Science, Bar-Ilan University, Israel Adjunct Professor, University of Maryland, USA * Dominik Slezak Professor at University of Warsaw, Poland Chief Scientist, Infobright Inc. ++++++++++++++++ SPECIAL SESSIONS ++++++++++++++++ * Agents in Urban Computing and Engineering Shih-Fen Cheng, Singapore Management University, Singapore * Artificial Intelligence for Aging in-Place Chunyan Miao, Nanyang Technological University, Singapore Cyril Leung, University of British Columbia, Canada The 2015 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'15) will be held in Singapore on December 6-9, 2015, hosted by the Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY) at Nanyang Technological University (NTU) and the Living Analytics Research Centre at Singapore Management University (SMU). Co-located with the 2015 IEEE/WIC/ACM International Conference on Web Intelligence (WI'15), IAT'15 is sponsored by IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), Web Intelligence Consortium (WIC), ACM-SIGAI, and Memetic Computing Society. IAT'15 will feature special thematic workshops, technical sessions, tutorials and panels. Conference programme will further include a welcome reception, keynotes, demos, poster sessions, and a banquet. Attendees only need one registration to attend all technical events. TOPICS AND AREAS (INCLUDE, BUT NOT LIMITED TO) * Autonomy-Oriented Computing * Agent and Multi-Agent Systems Engineering * Agent and Multi-Agent Systems Modeling * Knowledge and Information Agents * Autonomous Auction and Negotiation * Distributed Problem Solving * Cooperation & Coordination * Agent Systems Applications ++++++++++++++++++++++++++++++++ PAPER SUBMISSION AND PUBLICATION ++++++++++++++++++++++++++++++++ IAT'15 solicits original work submitted as a regular paper (limited to 8 pages) or as short paper (limited to 4 pages) in IEEE 2-column format. Each paper will be peer-reviewed by at least three PC members on the basis of technical quality, relevance, originality, significance and clarity. Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press and indexed by EI. Selected IAT'15 papers will be further invited for expansion and publication in Web Intelligence and Agent Systems and other international Journals. +++++++++++++++++++++++++ CALL FOR TUTORIALS/PANELS +++++++++++++++++++++++++ IAT'15 solicits proposals for tutorials and panels on specific topics of interests, which will form an integral part of the conference program. Inquiries and submission of proposals should be addressed to the respective chairs. ++++++ AWARDS ++++++ Best Paper awards will be conferred at the conference on the authors of (1) the best research paper, (2) the best student paper. Application-oriented submissions will be considered for the best application paper award. +++++++++++++++ IMPORTANT DATES +++++++++++++++ Electronic Submission of Regular/Special Session Papers *** May 15, 2015 *** Tutorial Proposal Submission June 1, 2015 Workshop Paper Submission June 1, 2015 Demos and Posters Submission July 1, 2015 Notification on Conference Paper Acceptance July 1, 2015 Notification on Workshop Paper Acceptance July 15, 2015 Notification on Demo and Poster Acceptance August 1, 2015 ++++++++++++++++++++ ORGANIZING COMMITTEE ++++++++++++++++++++ General Chairs * Ah-Hwee Tan, Singapore * Yuefeng Li, Australia Program Chair * Ee-Peng Lim, Singapore Program Vice-Chairs * Atsuhiro Takasu, Japan * Hoong-Chuin Lau, Singapore * Chunyan Miao, Singapore IAT Technical PC Chairs * Sarvapali Ramchurn, UK * Anita Raja, USA * Bo An, Singapore Local Organizing Chair * Meng-Hiot Lim, Singapore * Sufen Cheong, Singapore * Di Wang, Singapore Finance Chair and CyberChair-Master * Juzhen Dong, Japan Industry and Sponsorship Chairs * Xiaoli Li, Singapore * Richi Nayak, Australia * Saurav Karmakar, India Workshop Chairs * Bryan Kian-Hsiang Low, Singapore * Einoshin Suzuki, Japan * Jason Watson, Australia Tutorial Chairs * Pradeep Reddy Varakantham, Singapore * Yue Xu, Australia Demo/Poster Chair * Zhiqi Shen, Singapore * Yiqiang Chen, China Publicity Chairs * Xiaohui Tao, Australia * Teck-Hou Teng, Singapore Panel Chairs * Hady Lauw, Singapore * Neil Yorke-Smith, Lebanon Award Chairs * Ee-Peng Lim, Singapore * Raj Sunderraman, USA Webmaster * Jun Lin, Singapore * Yilin Kang, Singapore

April 13, 2015

Theory-Experiment postdoctoral position in Paris with Shihab Shamma and Srdjan Ostojic

by Srdjan Ostojic

A theory-experiment postdoctoral position is available at Ecole Normale Superieure in Paris, on a collaborative project between the Shamma and Ostojic labs. The aim of the project is to investigate the neural bases of auditory discrimination in awake behaving ferrets by combining computational modeling, data-analysis and experimental recordings. The successful applicant will be based at the Group for Neural Theory, a highly interactive and dynamic environment situated in central Paris (see http://iec-lnc.ens.fr/group-for-neural-theory/) The Shamma lab where the neurophysiological recordings take place is located next door (http://www.iec-lsp.ens.fr/spip.php?rubrique30) The ideal candidate should be a computational neuroscientist with strong interest in experimental neuroscience, or the other way round. Starting dates are flexible. The position is for two years. Candidates should send a letter of motivation (2 pages max), the contact information of 2 or more referees and their CVs to srdjan.ostojic at ens.fr *BEFORE April 30th, 2015*. Srdjan Ostojic Group for Neural Theory Ecole Normale Superieure Paris 29, rue d'Ulm 75005 Paris, France

April 12, 2015

PhD position in closed-loop software technologies for neuroscience research

by Pablo Varona

Dear colleagues, A PhD position is available at the Biological Neurocomputation Group, Autonomous University of Madrid, Spain. This position is related to the development of software technologies for closed-loop experimental research in neuroscience. We seek a highly motivated PhD student with a Master's degree at the time of the formalization of the contract in one of the following (or related) disciplines: computer science, engineering, physics, prosthetics. Prior experience in the fields of real time software technology, C/C++ programming, control systems, electrophysiological recordings, EEG, neuroimaging, or computational neuroscience will be valuable. Enthusiasm for interdisciplinary research is required. Interested candidates, please send CV to Dr Pablo Varona: gnbuam(a)gmail.com Application procedure: applicants should send a CV and contact information for 2 references to Dr Pablo Varona (gnbuam(a)gmail.com) The deadline for applications is May 1st, 2015. http://www.ii.uam.es/~pvarona http://www.ii.uam.es/~gnb

April 10, 2015

ECMLPKDD 2015: Summer School on Data Sciences for Big Data - Resource Aware Data Mining

by ECMLPKDD 2015

>From 2nd to 5th of September 2015, the TU Dortmund University and LIAAD-INESC TEC will organize a Summer School on Data Sciences for Big Data - Resource Aware Data Mining. The School will be hosted at Faculty of Sciences, University of Porto and is collocated with <http://ecmlpkdd2015.org/> ECMLPKDD 2015 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (http://www.ecmlpkdd2015.org/) For the summer school, world leading researchers in machine learning and data mining will give lectures on recent techniques dealing with huge amounts of data, spatio-temporal streaming data, distributed and graph data, sensors and embedded systems. The summer school is designed for Master and PhD students, and professionals who wanted to learn cutting edge techniques for data mining with constrained computational resources. For further details go to: <http://www.ecmlpkdd2015.org/summer-school/about> http://www.ecmlpkdd2015.org/summer-school/about

April 10, 2015

Fwd: Fully-funded PhD studentship

by Shufan Yang

Fully-funded PhD studentship: Neuro-inspired medical image processing based on hardware implementation. Applications are invited for a fully-funded PhD studentship (£13,750 pa for three years), to conduct research into neuro-inspired medical image processing. The project will develop new computational models of visual system for medical image processing, based on recent ideas from computer vision, spatial statistics and time-series analysis. The models will be implemented in an embedded hardware platform. All nationalities are eligible to apply, for details see: http://www.wlv.ac.uk/research/research-studentships/university-funded-phd-s… For application please follow the link below: http://www.wlv.ac.uk/research/research-studentships/university-funded-phd-s… Dr Shufan Yang Senior Lecturer in Computer Science School of Mathematics and Computer Science, Faculty of Science and Engineering, City Campus, Wolverhampton Phone: 01902 518594 EMail: s.yang(a)wlv.ac.uk Website: www.wlv.ac.uk/~in3429

April 9, 2015

NEURON Summer Course early registration discount

by Ted Carnevale

Applicants who sign up for "NEURON Fundamentals" or "Parallel Simulation with NEURON" by Monday, April 20, are eligible for an early registration discount: $150 for those who plan to stay on campus, $100 for those who make their own housing arrangements. Qualified applicants who sign up for both courses are eligible for an additional $100 discount. For more information about these courses and an online application form, see http://www.neuron.yale.edu/neuron/static/courses/nscsd2015/nscsd2015.html or contact ted dot carnevale at yale dot edu

April 9, 2015

GEM4 Meeting on Brain Mechanics

by Nathan Urban

The deadline for student applications for the 10th anniversary GEM4 involving linking biology and mechanics on Mechanobiology of the Brain is next week (April 15). The final program for this 2 week course (June 22-July 3, 2015 at Carnegie Mellon University) with lectures and labs is at http://www.ices.cmu.edu/gem4. Best wishes and thanks again. Sincerely, Philip LeDuc Jimmy Hsia Subra Suresh

April 9, 2015

Tenth Advanced Statistics and Data Mining Summer School (Madrid) - Early registration reminder

by asdm＠fi.upm.es

Dear colleagues, We would like to remind you that the early registration period for the Advanced Statistics and Data Mining Summer School is open until June 7th. The summer school will be held in Boadilla del Monte, near Madrid, from June 29th to July 10th. As in previous years, the school comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses per week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM Please, send this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Laura Anton-Sanchez. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 29th - July 3rd, 2015) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Descriptive methods for time series. Linear models for time series. Extensions. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Course 4: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Course 6: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. * Week 2 (July 6th - July 10th, 2015) * 1st session: 9:45-12:45 Course 7: Statistical Inference(15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. Course 8: Bayesian Classifiers (15 h) Discrete predictors. Gaussian Bayesian networks-based classifiers. Other Bayesian classifiers. Bayesian classifiers for: positive and unlabeled data, semi-supervised learning, data streams, temporal data. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Introduction. Fundamentals. Language Modeling. String Processing. Text Classification. Information Extraction. Practical session: GATE (optionally, python). Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Advanced topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Convex Optimization (15 h) Introduction. SVM models. SVM learning algorithms. Convex non differentiable optimization. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

April 9, 2015

PhD or Post-Doc Position for facial expression recognition

by Fred Hamker

A PhD (E 13 TV-L, 75%) or postdoctoral (E 13 TV-L) position is available at the Technical University of Chemnitz (Germany) in the Department of Computer Science. The position is funded initially until 30.09.2017, but is renewable pending availability of future funds. Starting date is as soon as possible. The research position is focused on facial expression recognition using methods of machine learning (e.g. active appearance models, deep learning) and neuro-computational modeling (e.g. brain inspired techniques for visual object recognition). The position is funded by a grant from the Federal Ministry of Education and Research. The candidate should have good programming experience and solid english language skills. A formal job search is available in german: https://www.tu-chemnitz.de/verwaltung/personal/stellen/257030_5_Re.php Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture. Applications should be sent by email (preferably in PDF format) to (fred.hamker(a)informatik.tu-chemnitz.de) as soon as possible. Applications shall be sent by April 30th, but later applications will be considered until the position is filled. -------------------- Prof. Dr. Fred H Hamker Artificial Intelligence & Neuro Cognitive Systems Department of Computer Science Chemnitz University of Technology Strasse der Nationen 62 D - 09107 Chemnitz Germany Tel: +49 (0)371 531-37875 Fax: +49 (0)371 531-25739 email: fred.hamker(a)informatik.tu-chemnitz.de www: http://www.tu-chemnitz.de/informatik/KI/

April 8, 2015

7th International Summer School in Biomedical Engineering „New Instrumentation for brain measurements and stimulation“, 17th - 29th August 2015 in Lutherstadt Wittenberg, Germany

by Uwe Graichen

Dear colleagues, we are pleased to announce the 7th International Summer School in Biomedical Engineering on "New Instrumentation for brain measurements and stimulation" August, 17-29, 2015 in Lutherstadt Wittenberg, Germany. This event stands in the tradition of a series of successful summer schools on hot themes in biomedical engineering, dedicated to intense learning in the fruitful atmosphere of tight interaction between students and world-leading specialists. This year’s summer school is devoted to new hardware technologies for measuring and stimulating the brain, such as dry electroencephalography (EEG) electrodes, optically pumped magnetic field sensors, neuronal current imaging based on low-field magnetic resonance and multichannel transcranial current stimulation. In particular, the 7th International Summer School on Biomedical Engineering will focus on ways how these new technical advances may help to overcome current limitations in human neurosciences and medicine. It will cover both theoretical foundations and practical applications. We aim at a thorough understanding of the underlying mechanisms. Thus, we will develop a critical view on current applications and possible future developments. The second important aim of the summer school consists in providing contact with both leading experts in the field and other students with similar interests, thereby facilitating the exchange of ideas on latest developments in the field. Target Group: - PhD students - Advanced Master students - Researchers entering the field of brain measurement and stimulation techniques Further Information about the 7th International Summer School in Biomedical Engineering: www.iss2015.org We would be happy to receive your application. Please pass this announcement to your colleagues who might be interested. Sincerely, Jens Haueisen and Thomas Knösche

April 8, 2015