From ala at csc.kth.se Wed Apr 1 11:12:35 2015 From: ala at csc.kth.se (Anders Lansner) Date: Wed, 1 Apr 2015 17:12:35 +0200 Subject: Connectionists: Position as Assistant Professor in Big Data and eScience open at KTH Message-ID: <003c01d06c8e$4c434fe0$e4c9efa0$@csc.kth.se> Assistant Professor in Big Data and eScience KTH - Royal Institute of Technology invites applications for a tenure-track faculty appointment in Big Data and eScience at the rank of Assistant Professor. We seek individuals with outstanding potential for research achievement, and a strong interest and commitment to undergraduate and graduate teaching. The position is intended to add to or extend the current research areas at KTH with more emphasis being put on excellence than on specific area of expertise. The position comes with a significant start package that will allow the successful candidate to quickly establish their own research group. KTH carries out a wide range of internationally renowned research related to Big Data and eScience. Research groups working in high-performance computing, simulations, visualization, computer vision, robotics, computational biology, neuroinformatics, language technology, algorithms and software security comprise part of the School of Computer Science and Communication. The KTH super computer center - PDC Center for High Performance Computing - with the largest computing infrastructure in Scandinavia is also part of the school. For more information about the school, see www.kth.se/csc Research groups in computational fluid dynamics, biomolecular simulations, numerical analysis, and mathematical statistics comprise part of the School of Engineering Sciences. For more information about the school, see www.kth.se/sci For further information and details on application procedure see www.kth.se/applytoassistantprofessor Application deadline is May 29, 2015. Applicants having earned their PhD no later than May 2008 will be given priority. The term of appointment is expected to begin around November 2015, or later depending on availability. Questions regarding computational biology/neuroscience, neurocomputing, and neuroinformatics can be directed to Anders Lansner, ala at kth.se --- Detta e-postmeddelande har s?kts igenom efter virus med antivirusprogram fr?n Avast. http://www.avast.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From rish at us.ibm.com Wed Apr 1 14:25:34 2015 From: rish at us.ibm.com (Irina Rish) Date: Wed, 1 Apr 2015 14:25:34 -0400 Subject: Connectionists: Postdoc positions at IBM Watson Research Message-ID: Computational Biology Department at IBM T.J. Watson is looking for several postdoctoral researchers; see the job descriptions below. Job description 1: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0736440 IBM Research is undertaking a project to develop predictive models of neurological and psychiatric disease transitions based on patients? speech samples and physiological recordings from wearable devices such as accelerometers, heart rate monitors and portable ElectroEncephaloGram (EEG) recorders. The goal of the project is to implement a high sampling frequency system monitoring easily available behavioral and physiological data, and relate these to established psychometric measures of disease, in order to provide neurologist and psychiatrists with high granularity information of the patients? state, and actionable predictions of imminent transitions. The project will involve a tight collaboration with clinician s. Required Doctorate Degree At least 1 year experience?in?natural language processing or signal processing At least 1 year experience?in?Programming (Matlab, Python, C++) English: Intermediate Preferred At least 3 years experience?in?natural language processing or signal processing At least 2 years experience?in?Programming (Matlab, Python, C++) At least 2 years experience?in?psychology and psychiatry At least 2 years experience?in?cognitive science, big data analytics or wearable computing At least 2 years experience?in?machine learning English : Fluent Job description 2: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0736434 IBM Research is undertaking a project to characterize the progression of neurological diseases using multi-modal imaging techniques, combining state-of-the-art statistical learning and high-performance computing tools with physiological models and mechanistic interpretations. The ultimate goal of this project is to develop an integrative, multi-disciplinary approach to understand underpinning biological mechanisms of disease (e.g. Parkinson?s), as well as provide analytic tools with immediate clinical applicability. The project will involve a tight collaboration with neurobiology researchers and clinicians. IBM is seeking a Postdoctoral Researcher with a degree in neuroimaging, neuroscience, computer science, mathematics, physics, electrical engineering or similar fields. Candidates should have experience in high-throughput brain data modeling, machine learning for big data, computational neuroscience and neurobiology. Candidates with a background in relevant applied mathematics fields such as topological data analysis and optimization will also be considered. Required Doctorate Degree At least 1 year experience?in?brain imaging, analysis and modeling (magnetic resonance imaging, electroencephalography or magnetoencephalography) Basic knowledge?in?programming (Matlab, Python, C++) English: Intermediate Preferred At least 3 years experience?in?brain imaging, analysis and modeling (magnetic resonance imaging, electroencephalography or magnetoencephalography) At least 2 years experience?in?programming (Matlab, Python, C++) At least 3 years experience?in?machine learning At least 3 years experience?in?brain imaging At least 3 years experience?in?biological psychiatry English : Fluent -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ecblank.gif Type: image/gif Size: 45 bytes Desc: not available URL: From Aaron.Clauset at colorado.edu Wed Apr 1 15:10:52 2015 From: Aaron.Clauset at colorado.edu (Aaron Clauset) Date: Wed, 1 Apr 2015 13:10:52 -0600 Subject: Connectionists: NetSci 2015, Symposium on Statistical Inference for Network Models Message-ID: Call for papers - Statistical Inference for Network Models 2015 ***The deadline for abstract submission is April 10, 2015*** http://danlarremore.com/sinm2015/ The Statistical Inference for Network Models symposium is a satellite of the International Conference on Network Science (NetSci) 2015, held June 1, 2015 in Zaragoza, Spain this year. We invite abstracts of new and/or previously published work for contributed talks to take place at the symposium. We hope for a broad range of topics to be covered, across theory, methodology, and application to empirical network data. Potential topics include: Generative models for network structure Community structure, hierarchical structure, block modeling Model selection, comparison, and validation Efficient algorithms Intersections between statistical physics and machine learning Detectability limits Network comparison Prediction and anomaly detection Statistical relational learning Bayesian nonparametrics Graphon estimation Interfaces with spectral methods Social networks and social media Biological networks Model-based knowledge discovery New domains of application New models for applied problems Symposium Description =================== This workshop will address the intersection of two trends in network science. On the one hand, real-world networks are increasingly annotated with rich metadata, including vertex or edge attributes, temporal information, and more. Making sense of such data requires moving beyond simple models of network structure. On the other, hypotheses about network structure and the processes that create those patterns are increasingly sophisticated. The tools of statistical inference for network models offer a principled and effective approach for both understanding richly annotated network data and testing interesting network hypotheses. In particular, probabilistic models are a quantitative approach that allows researchers both to infer complicated hidden structural patterns in existing data and to generate synthetic data sets whose structure is statistically similar to real data. These models facilitate handling many of the challenges of understanding real data, including controlling for noise and missing values, and they connect theory with data by providing interpretable results. Statistical inference is thus a powerful and useful tool for modeling and understanding networks. The development of new tools and their application to understand real systems is now a major community effort in network science. Despite their power and utility, however, these techniques are not as easy or approachable as simpler tools, like degree distributions, centrality scores, and clustering coefficients. Increasingly, new applications and richer data sets offer new opportunities for developing and applying the principled techniques of statistical inference to networks. This satellite symposium will build on a successful first satellite at NetSci2014, by uniting theoretical and applied researchers, and bringing together approaches from across network science, including machine learning, statistics, and physics. This broad cross-section of disciplines shares problems and even approaches, but each discipline brings a different perspective, emphasis and vocabulary. The purpose of this symposium is to provide a platform for cross-pollination of ideas and to reveal that the diversity of approaches to a common set of problems is a strength. Invited Speakers =================== Ceren Budak, Microsoft Research JP Onnela, Harvard Patrick Wolfe, University College London Dena Asta, Carnegie Mellon Organizers =================== Abigail Jacobs, Colorado Leto Peel, Colorado Dan Larremore, Harvard Aaron Clauset, Colorado ------------------------------------ Aaron Clauset Assistant Professor Computer Science Department, University of Colorado, Boulder, and External Faculty, Santa Fe Institute http://structureandstrangeness.com/ aaron.clauset at colorado.edu @aaronclauset From dwang at cse.ohio-state.edu Thu Apr 2 08:34:00 2015 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Thu, 2 Apr 2015 08:34:00 -0400 Subject: Connectionists: NEURAL NETWORKS, April 2015 Message-ID: <551D3738.1050106@cse.ohio-state.edu> Neural Networks - Volume 64, April 2015 http://www.journals.elsevier.com/neural-networks SPECIAL ISSUE: Deep Learning of Representations Editorial introduction Yoshua Bengio, Honglak Lee Two-layer contractive encodings for learning stable nonlinear features Hannes Schulz, Kyunghyun Cho, Tapani Raiko, Sven Behnke Measuring the usefulness of hidden units in Boltzmann machines with mutual information Mathias Berglund, Tapani Raiko, Kyunghyun Cho Deep learning of support vector machines with class probability output networks Sangwook Kim, Zhibin Yu, Rhee Man Kil, Minho Lee Expected energy-based restricted Boltzmann machine for classification S. Elfwing, E. Uchibe, K. Doya Deep Convolutional Neural Networks for Large-scale Speech Tasks Tara N. Sainath, Brian Kingsbury, George Saon, Hagen Soltau, Abdel-rahman Mohamed, George Dahl, Bhuvana Ramabhadran Frame-by-frame language identification in short utterances using deep neural networks Javier Gonzalez-Dominguez, Ignacio Lopez-Moreno, Pedro J. Moreno, Joaquin Gonzalez-Rodriguez Challenges in representation learning: A report on three machine learning contests Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, et al. From ricardo.chavarriaga at epfl.ch Thu Apr 2 05:33:03 2015 From: ricardo.chavarriaga at epfl.ch (Chavarriaga Lozano Ricardo) Date: Thu, 2 Apr 2015 09:33:03 +0000 Subject: Connectionists: IEEE SMC 2015 session on "BMI and intelligent interaction for automotive applications" Message-ID: <7B550547-4123-4981-B820-6FB6EA95A647@epfl.ch> ============================================================================= We apologize in advance if you receive multiple copies of this CFP. Deadline: Apr 15th, 2015 ============================================================================= Special session on BMI and intelligent interaction for automotive applications 2015 IEEE International Conference on Systems, Man, and Cybernetics October 9-12, 2015, Hong Kong. http://www.smc2015.org Part of the SMC workshop: http://go.epfl.ch/cfp_bmi_smc2015 Important Dates April 15, 2015: Deadline for submission of full-length papers to special sessions. June 1, 2015: Acceptance/Rejection Notification. July 10, 2015: Author registration deadline. July 20, 2015: Camera-ready submission deadline. Call for papers Currently, cars exhibit an increasing range of autonomous and semi-autonomous capabilities. Taking advantage of on-board sensors intelligent vehicles are able to support drivers on tasks ranging from specific maneuvers such as parking to fully autonomous driving. Successful systems should enable seamless interaction between the car and its driver both ensuring that the car behavior is consistent with the driver?s intent while at the same time efficiently provide the driver information about the car and its environment. Different approaches to achieve these goals are currently in development. They are intended to identify the driver?s state and intent from physiological and behavioral signals. These include the use of technologies such as computer vision, eye-tracking, and brain-machine interfaces to detect drowsiness, workload and lack of attention, or to predict upcoming behavior such as emergency braking and lane turning. The 2015 IEEE SMC special session is aimed at providing a fruitful space to present and discuss state of the art research of these issues. In particular addressing the challenges of this particular application. Contributions will be presented as part of the BMI workshop at the SMC conference and papers will be published in the proceedings and accessible via IEEExplore. We welcome your contributions to this special session. Your support will make the 2015 IEEE SMC a wonderful occasion and a successful conference You can see the specific descriptions of the sessions here: http://www.smc2015.org/special_sessions Submission Manuscripts should be submitted through the SMC submission system. Please pay attention to clearly indicate which session your paper is intended for. Papers submitted to a Special Session should NOT be submitted in duplication to any other regular or special session. We would appreciate if you contact the organizers for arrangement of submission in the first instance and ease organisational issues. All submitted papers will undergo the same review process (three completed reviews per paper). The technical reviewers will be members of the SMC Program Committee and qualified peer-reviewers to be nominated by the organisers. Accepted papers will be published in the proceedings of the SMC 2015 conference and indexed in IEEExplore. Organizers Ricardo Chavarriaga, EPFL, Switzerland > Seong-Whan Lee, Korea University > ------ Looking forward to see you all in Hong Kong. More information: BMI workshop CFP: http://go.epfl.ch/cfp_bmi_smc2015 SMC Conference: http://smc2015.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From schwarzwaelder at bcos.uni-freiburg.de Thu Apr 2 05:41:24 2015 From: schwarzwaelder at bcos.uni-freiburg.de (Kerstin Schwarzwaelder) Date: Thu, 02 Apr 2015 11:41:24 +0200 Subject: Connectionists: Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2015 Message-ID: <551D0EC4.4090805@bcos.uni-freiburg.de> Dear colleagues, for the sixth time, the Bernstein Association for Computational Neuroscience is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2014 or 2015. The award comprises 500 ? prize money, plus a travel grant of up to 2.000 ? to cover a trip to Germany, including participation in the Bernstein Conference 2015 in Heidelberg (www.bernstein-conference.de), and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is May 8, 2015 (5:00 p.m. CET). Detailed information about the application procedure can be found under: www.nncn.de/en/bernstein-association/brains-for-brains-2015 For inquiries please contact info at bcos.uni-freiburg.de Best regards, Kerstin Schwarzw?lder -- Dr. Kerstin Schwarzw?lder Bernstein Coordination Site of the National Bernstein Network Computational Neuroscience Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg Germany phone: +49 761 203 9594 schwarzwaelder at bcos.uni-freiburg.de www.nncn.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From m-hasimt at ist.osaka-u.ac.jp Fri Apr 3 09:04:41 2015 From: m-hasimt at ist.osaka-u.ac.jp (Masafumi HASHIMOTO) Date: Fri, 03 Apr 2015 22:04:41 +0900 Subject: Connectionists: CFP: 9th International Conference on Bio-inspired Information and Communications Technologies (BICT 2015, formerly BIONETICS) Message-ID: CFP: 9th International Conference on Bio-inspired Information and Communications Technologies (BICT 2015, formerly BIONETICS) http://www.bionetics.org/ Paper submission deadline extended: August 3, 2015 December 3 (Thu) - December 5, 2015 (Sat) New York City, NY, USA Sponsored by European Alliance for Innovation (EAI) and Department of Biomedical Engineering at the Columbia University School of Engineering and Applied Science In-corporation with ACM (Pending) BICT 2015 aims to provide a world-leading and multidisciplinary venue for researchers and practitioners in diverse disciplines that seek the understanding of key principles, processes and mechanisms in biological systems and leverage those understandings to develop novel information and communications technologies (ICT). BICT 2015 targets two thrusts: THRUST 1: Indirect Bioinspiration (ICT designed after biological principles, processes and mechanisms). Examples include evolutionary computation, artificial gene regulatory networks, neural networks/computation, swarm intelligence, cellular automata, artificial immune systems, amorphous computing, artificial life, artificial chemistry, reaction-diffusion computing, self-organization, chaotic systems, social networks, game theory, computational epidemics, agent-based modeling, and nature-inspired models and calculi. THRUST 2: Direct Bioinspiration (ICT utilizing biological materials and systems). Examples include biosensing, molecular assembly, cellular computing, molecular computing/communication, membrane computing, bacterial computing/communication, DNA computing and memory, Physarum computing, quantum computing, biometric security/authentication, brain-computer interfaces and energy harvesting from biological sources. Expected, but not exclusive, topics are: * Signal/information processing and communication for bio-inspired ICT * Data management and analytics for bio-inspired ICT * Algorithms and their applications for bio-inspired ICT * Formal models and methods for bio-inspired ICT * Bio-inspired software and hardware systems * Modeling, simulations and empirical experiments of bio-inspired ICT * Self-* and stability properties in bio-inspired ICT * Security, robustness and resilience in bio-inspired ICT * Design, configuration, performance and management issues in bio-inspired ICT * Tools, testbeds and deployment aspects in bio-inspired ICT * Applications, experiences and standardization of bio-inspired ICT Application domains include, but not limited to, autonomic computing, bioinformatics, biomedical engineering, computer networks, computer vision, data mining, e-health, green computing and networking, grid/cloud computing, intelligent agents, mechanical engineering, nanoscale/molecular computing and communication, optimization, pervasive computing, robotics, security, social networks, software engineering and systems engineering. IMPORTANT DATES: Regular paper submission due: August 3 Short and poster/demo paper submission due: September 22 Notification for regular papers: September 21 Notification for short and poster/demo papers: October 1 Camera ready due: October 15 SPECIAL TRACKS: In addition to the regular track that covers general/mainstream topics, BICT 2015 features the following special tracks that focus on specific, emerging or underrepresented topics. * Anthropomorphic Robot and Physiological Information for Cares and Daily Communication (ARPI) * Artificial, Biological and Bio-Inspired Intelligence (ABBII) * Artificial Intelligence and Software Engineering (AISE) * Bio-inspired Algorithms and Technologies for Cyber Security and Defense Applications (DEFENSE) * Bio-Inspired Communications and Computing (BICC) * Bio-inspired Wireless Network Security (BWNS) * Biological Computing and Bio-medical Informatics (BCBI) * Biologically Inspired Computer Vision Models and Techniques (BioVis) * BioNanoNetworks: Modeling, Design, Performance and Applications (BMDPA) * Combinatorial Optimization (COP) * Complex Adaptive Systems (CAS) * Computational Intelligence on Information Security (CIIS) * Engineering Applications from Bio-Molecular Networks (EmNet) * Game Theory and its Applications (GTA) * Molecular Communication and Networking (MCN) * Modularization for Practical Software Engineering (MPSE) * Nano-networks and Communication in Bacteria Populations (NCBP) * Physarum Computing (PhysComp) * Soft Computing on Brain-Body Area (SCBBA) * Swarm Robotics (SR) * Topology-driven bio-inspired methods and models for complex systems (TOPDRIM?4?Bio) CO-LOCATED WORKSHOPS: * Bioinformatics 2015 * Brain-Inspired Information Communication Technologies (BIICT) * Computational Models of the Visual Cortex (CMVC): Hierarchies, Layers, Sparsity, Saliency and Attention * Int'l Workshop on Electro-Chemical Signaling in Neuron Organelles (ESNO) * The First Int'l Workshop on Combining Machine Learning and Search-Based?Software Engineering (MLSBSE) * Int'l Workshop on Physarum Transport Networks (PhysNet) PAPER SUBMISSION: Authors are invited to submit regular papers (up to 8 pages each), short papers (up to 4 pages each) or poster/demo papers (up to 2 pages each) in ACM's paper template. Up to two extra pages are allowed for each paper with extra page charges. See http://bionetics.org/2015/show/initial-submission for more details. PUBLICATION: All accepted paper will be published through ACM Digital Library and submitted for indexing by SI, EI Compendex, Scopus, ACM DL, Google Scholar and many more. Selected papers will be considered for publication in leading journals including: * IEEE Transactions on NanoBioscience * ACM/Springer Mobile Networks and Applications * Elsevier Information and Software Technology * Elsevier Information Sciences * Springer Software Quality Journal * Elsevier Nano Communication Networks Journal * Springer Complex Adaptive Systems Modeling * Int'l Journal of Soft Computing and Networking KEYNOTE SPEAKERS: * Dmitri Chklovskii, Simons Foundation, USA * Simon Garnier, New Jersey Institute of Technology and Rutgers University, USA * Radu Marculescu, Carnegie Mellon University, USA * Bud Mishra, New York University, USA * Maurizio Porfiri, New York University, USA * Yechiam Yemini, Columbia University, USA FEATURED SPEAKERS IN CO-LOCATED WORKSHOPS: * Emanuela Merelli, University of Camerino, Italy GENERAL CHAIRS: Jun Suzuki, University of Massachusetts, Boston, USA Tadashi Nakano, Osaka University, Japan Henry Hess, Columbia University, USA PC CHAIRS: William Casey, Carnegie Mellon University, SEI, USA Adriana Compagnoni, Stevens Institute of Technology, USA Simon Garnier, New Jersey Institute of Technology and Rutgers University Mario Koeppen, Kyushu Institute of Technology, Japan From chloe-agathe.azencott at mines-paristech.fr Thu Apr 2 15:38:13 2015 From: chloe-agathe.azencott at mines-paristech.fr (=?utf-8?b?Q2hsb8OpLUFnYXRoZQ==?= Azencott) Date: Thu, 02 Apr 2015 21:38:13 +0200 Subject: Connectionists: CfP: 2nd Workshop on Features & Structures (FEAST 2015) at ICML Message-ID: <20150402213813.Horde.xtUV0JEIftFRxPL4WH1p7g3@webmail.sif.mines-paristech.fr> *************************************************** Call for contributions 2nd Workshop on Features & Structures (FEAST 2015) https://sites.google.com/site/feast2015/ at ICML 2015, Lille, France July 10, 2015 *************************************************** The second workshop on Features and Structures (FEAST), colocated with ICML, aims to provide an open, low ?threshold forum for discussing data consisting of an underlying structure associated with descriptive attributes, such as in natural language processing, medical imaging, computer vision, bioinformatics, chemoinformatics, social network analysis and others. The goal of FEAST is to bring together researchers from diverse communities, with a shared interest in understanding structured data. IMPORTANT DATES * 1st May 2015 ? Deadline for abstract submission * 10th May 2015 ? Acceptance notification * 15th May 2015 ? ICML early registration deadline * 10th July 2015 ? Workshop in Lille, France INVITED SPEAKERS * Robert P.W. Duin (Delft University of Technology http://homepage.tudelft.nl/a9p19/) Dissimilarity representation for pattern recognition * Pierre Vandergheynst (EPFL http://people.epfl.ch/cgi-bin/people?id=120906) High-dimensional signal processing on graphs * Third speaker to be announced CALL FOR CONTRIBUTIONS The goal of the workshop is to spark discussion and interaction. Submission requires a 1-page PDF abstract, and we particularly encourage: * Previously published work * Preliminary results * Open-ended questions and problem formulations We welcome contributions including but not limited to: * structured data * data representation * multiple instance learning * graph kernels * topological descriptors * structured output * graph analysis * structured sparsity For more details, see: https://sites.google.com/site/feast2015/ Submit your abstract here: https://sites.google.com/site/feast2015/submit-your-abstract ORGANIZERS Chlo?-Agathe Azencott (Mines ParisTech, http://cazencott.info) Veronika Cheplygina (Erasmus Medical Center) Aasa Feragen (University of Copenhagen, http://image.diku.dk/aasa/) SPONSOR Textkernel (http://www.textkernel.nl): machine learning for matching people and jobs -- Chlo?-Agathe Azencott Mines ParisTech - Institut Curie - INSERM U900 http://cazencott.info From zeke.arneodo at gmail.com Sun Apr 5 19:00:17 2015 From: zeke.arneodo at gmail.com (Zeke Arneodo) Date: Sun, 5 Apr 2015 19:00:17 -0400 Subject: Connectionists: Last call: Sense to Synapse 2015 Symposium Message-ID: Dear colleagues: I would like to invite you to participate to the Sense to Synapse 2015 symposium that will take place in New York, next Saturday April 11. Sense2Synapse is a scientific event that takes place every year since 2012. It gathers researchers from the NY-NJ-Mass area that are working in sensory systems.This year, it will take place in New York University School of Medicine. The list of keynote speakers is: Antony Movshon (NYU) Elena Gracheva (Yale) Robert Datta (Harvard) Martin Chalfie (Columbia) Full list of speakers and poster presenters, as well as registration link, can be seen in the event's website: www.sense2synapse.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Tue Apr 7 15:45:32 2015 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Tue, 7 Apr 2015 15:45:32 -0400 Subject: Connectionists: programmer/data analyst position at SUNY Downstate in Brooklyn, NY In-Reply-To: <00d601d0716b$1a548350$4efd89f0$@neuralcorrelate.com> References: <00bf01d0716a$fb120a80$f1361f80$@neuralcorrelate.com> <00d601d0716b$1a548350$4efd89f0$@neuralcorrelate.com> Message-ID: <011601d0716b$68a186c0$39e49440$@neuralcorrelate.com> A programmer/data-analyst position is available in the Martinez-Conde lab at SUNY Downstate, in Brooklyn, NYC (a 25-minute subway ride to Times Square). The Martinez-Conde lab (http://smc.neuralcorrelate.com) focuses on the intersection between perception, cognition, oculomotor behavior, and their neural underpinnings. Representative publications can be downloaded from http://smc.neuralcorrelate.com/publications. Candidates should have extensive programming experience in C++ and Matlab/Python, as well as a strong mathematical background as demonstrated by college transcripts. A Masters/Ph.D. in Engineering/Physics/Mathematics/Computer science/Neuroscience is preferred. Knowledge of neuroscience (or a strong desire to learn) is a plus. Foundational and translational research projects typically involve data analyses (eye movements, neural activity, perceptual reports, electrodermal activity, pupil responses, heart rate, respiration rate) and computational modeling, as well as behavioral/psychophysical and/or neurophysiological experiments. Expertise analyzing data and/or programming experiments in any of these areas is a plus. Please email CV/resume and college transcripts to Prof. Martinez-Conde (Susana.Martinez-Conde at downstate.edu ). ---------------------------------------------------------------- Susana Martinez-Conde, PhD Director, Laboratory of Visual Neuroscience Division of Neurobiology Barrow Neurological Institute 350 W. Thomas Rd Phoenix AZ 85013, USA Phone: +1 (602) 406-3484 Fax: +1 (602) 406-4172 Email: smart at neuralcorrelate.com http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Laurent.Perrinet at univ-amu.fr Wed Apr 8 08:57:55 2015 From: Laurent.Perrinet at univ-amu.fr (Laurent Perrinet) Date: Wed, 08 Apr 2015 14:57:55 +0200 Subject: Connectionists: 15 PhD positions for PACE, an EU funded Innovative Training Network for understanding Perception and Action in Complex Environments Message-ID: <552525D3.6000704@univ-amu.fr> Dear colleagues, PACE (Perception and Action in Complex Environments) is an Innovative Training Network funded by the Marie Sklodowska-Curie program of the European Union starting on April 1st, 2015. The network involves 10 academic and private full partners, from 6 European and associated countries (France, Spain, Italy, Netherlands, UK, Israel), plus 5 associated partners (private companies and public organizations). The network gathers a broad range of expertise from experimental psychology, cognitive neurosciences, brain imaging, technology and clinical sciences as well as transferable skills. The PACE network promotes interdisciplinary research and training in the field of human movement sciences with a strong emphasis on perception-action coupling in complex environments. We focus on changes of this coupling across lifespan and in pathological diseases affecting the nervous system. The goal is to train PhD students through collaborative research projects, international courses and workshops. 15 PhD positions, starting next fall, are offered across the different network sites. You can find a short description of the proposed PhD projects at the following link: http://www.int.univ-amu.fr/IMG/pdf/PACE_Table_positions.pdf Applications are welcome immediately and until the end of May (but some specific timing constraints may be enforced in some of the partners' sites: please get more information from local contacts). You will find further general information (sections 1 to 3), eligibility and application conditions (section 4) here: http://www.int.univ-amu.fr/-ITN-Marie-Curie-network-PACE Thanks for distributing this announcement to potential condadates, Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet -------------- next part -------------- An HTML attachment was scrubbed... URL: From mcuturi at i.kyoto-u.ac.jp Wed Apr 8 04:10:55 2015 From: mcuturi at i.kyoto-u.ac.jp (marco cuturi) Date: Wed, 8 Apr 2015 17:10:55 +0900 Subject: Connectionists: [MLSS'15 Kyoto] Reminder: Application Deadline for MLSS'15 Kyoto, Japan, Apr. 14 23:59 UTC Message-ID: ========================================== 29th MACHINE LEARNING SUMMER SCHOOL [ in Kyoto University, Japan ] 23 August to 4 September 2015. *** http://www.i.kyoto-u.ac.jp/mlss15 *** ========================================== Dear Colleagues, Please find below the last call for applications for the MLSS'15 Kyoto. The deadline for applications is less than one week away, on Apr. 14 (Tue) 23:59 UTC. You can apply through the link below: http://goo.gl/4K9jTZ 1) Student interested in applying should keep in mind that their *recommendation letter must be received before Apr. 15 (Wed) 23:59 UTC. * In order to allow enough time for their recommender to write that letter, students should apply as early as possible now, specially if they are applying for financial support. 2) Recall that undergraduate or master students enrolled (around the MLSS dates) in an institution listed in the pages linked below http://goo.gl/rBEJlk http://goo.gl/iHa7Lb (Graduate School of Informatics section only) can benefit from a special fund provided to the MLSS by Kyoto University and are encouraged to apply. 3) Our list of *sponsors* has been expanded, http://goo.gl/DKvUus to include now IBM and Abzil as Silver sponsors. We are grateful for their contribution to our student financial support fund. Best wishes, the organizers (Please find the two previous calls below) On Wed, Mar 25, 2015 at 6:35 PM, Marco Cuturi wrote: ========================================== > 29th MACHINE LEARNING SUMMER SCHOOL > in Kyoto University, Japan, > 23 August to 4 September 2015. > *** http://www.i.kyoto-u.ac.jp/mlss15 *** > ========================================== > > Dear Colleagues, > > Here are some updates on the 29th MLSS taking place in Kyoto this summer: > > 1) Detailed *schedule* now available: http://goo.gl/Zejpdr > > 2) The *application deadline* is postponed by 4 days to > > *April 14, 23:59 UTC* > > (research funds in Japan are usually decided/announced on the first week > of April, we have adjusted our deadline to reflect this) > > The acceptance notification date (April 24) has not changed. > > *Important note for students:* students should apply as early as > possible, since we need to receive their letter of recommendation before *April > 15, 23:59 UTC*. > > 3) *Student financial support*: We would like to encourage undergraduate > and master students that belong to any of the research institutions that > have a Memorandum of Agreement (MoA) with Kyoto U., listed on either of > these two lists: > > http://goo.gl/rBEJlk > http://goo.gl/iHa7Lb (Graduate School of Informatics section only) > > and who express an interest in joining the Graduate School of Informatics > of Kyoto University as graduate students in the near future (Master course > for current undergrads, PhD course for current master students) to apply > for financial support. We have received a generous grant from Kyoto U. to > support partially registration + housing for about 25 students that fall in > that category. > > 4) *Updated sponsor information*: http://goo.gl/DKvUus > The MLSS will be collocated with: Conference on Inductive Logic Programming > Tentative list of Gold Sponsors: Rakuten, OMRON, Informetis, Yahoo! Japan > Tentative list of Silver Sponsors: Google > > 5) *Promotion posters* can be downloaded on our page: > http://goo.gl/kgnYQ5 > > 6) We will hold a *data-prediction competition* during the event in > collaboration with "University of Big Data > ", a platform maintained by H. > Kashima, a faculty member of Kyoto U. The task will likely involve > proprietary data generously donated by a sponsor. The competition should > run during August and will only be open to participants of the summer > school. Additional information will follow. > > Best wishes, > The organizers > M. Cuturi (Kyoto U.), A. Yamamoto (Kyoto U.), M. Sugiyama (U. of Tokyo) > > > (Original call for applications below) > > On Thu, Jan 22, 2015 at 4:44 PM, marco > wrote: > >> ========================================== >> >> APPLICATIONS NOW OPEN FOR >> >> ========================================== >> >> the 29th MACHINE LEARNING SUMMER SCHOOL >> >> in Kyoto University, Japan, >> >> 23 August to 4 September 2015. >> >> *** http://www.i.kyoto-u.ac.jp/mlss15 *** >> >> ========================================== >> >>> >> Dear Colleagues, >> >>> >> Building upon the great success of the MLSS'12 in Kyoto >> >> (~300 participants from 50 countries, ~20 lecturers, ~75 hours of >> lectures), >> >> we are organizing another Machine Learning Summer School >> >> this summer, to be held again in Kyoto University, Japan, >> >> from August 23 to September 4. >> >>> >> This edition will be the 29th in the now longstanding MLSS series. ( >> http://mlss.cc) >> >>> >> Please share with your colleagues and students this fantastic opportunity >> to: >> >> - learn from world-renowned machine learning specialists, >> >> - network with a diverse and formidable audience, >> >> - discover and enjoy Kyoto, one of the most beautiful cities in the >> world! (http://kyoto.travel/en) >> >>> >> We provide below an overview of the MLSS program and application process. >> More detailed information is available on our website: >> http://www.i.kyoto-u.ac.jp/mlss15 >> >>> >> We hope to see you in Kyoto this summer! >> >> With regards >> >>> >> The organizers, >> >> M. Cuturi (Kyoto U.), A. Yamamoto (Kyoto U.), M. Sugiyama (U. of Tokyo) >> >>> >> ============================================ >> >> Scope >> >> ============================================ >> >>> >> The machine learning summer school provides advanced-undergraduate >> >> and graduate students, industry professionals and academics of all levels >> >> with an intense learning experience on the theory and applications of >> modern >> >> machine learning. >> >>> >> Over the course of two weeks, a panel of internationally renowned >> lecturers >> >> will offer tutorials covering basic as well as advanced topics. >> >>> >> The summer school will allow the participants to get in touch with >> international experts >> >> in this field. Joint publications, new research projects and exciting >> opportunities will >> >> arise from these interactions. >> >>> >> ============================================ >> >> Confirmed Speakers and Topics >> >> ============================================ >> >>> >> Stephen P. Boyd, Stanford >> >> Convex Optimization >> >>> >> Emmanuel Cand?s, Stanford >> >> Topics in High-Dimensional Statistics >> >>> >> Zaid Harchaoui, NYU/INRIA >> >> Machine Learning for Computer Vision >> >>> >> Stefanie Jegelka, MIT >> >> Submodular Functions in Machine Learning >> >>> >> G?bor Lugosi, Pompeu Fabra >> >> Concentration Inequalities for Machine Learning >> >>> >> Luc de Raedt, KU Leuven >> >> Probabilistic Programming >> >>> >> Philippe Rigollet, MIT >> >> Statistical and Computational Aspects of High-Dimensional Learning >> >>> >> Lorenzo Rosasco, MIT / Genoa >> >> Learning Representations >> >>> >> Alexander J. Smola, CMU >> >> Scalable Machine Learning >> >>> >> Taiji Suzuki, Tokyo Tech >> >> Stochastic Optimization >> >>> >> Csaba Szepesv?ri, U. of Alberta >> >> Reinforcement Learning >> >>> >> Ryota Tomioka, TTI Chicago >> >> Tensor Decompositions in Machine Learning >> >>> >> Vincent Vanhoucke, Google >> >> Large Scale Deep Learning >> >>> >> Martin Wainwright, Berkeley >> >> Statistical Guarantees in Optimization >> >>> >> >> ============================================ >> >> Who Can Apply? >> >> ============================================ >> >> Anyone can apply from January 22 to April 10: the summer school is >> targeted for students (specially at a master/PhD level), academics >> (faculty, researchers and postdoctoral researchers) and professionals >> looking to use, or already using machine learning methods in their work. >> >>> >> This school is suitable for all levels, both for people without previous >> knowledge in Machine Learning, and those wishing to broaden their expertise >> in this area. >> >>> >> Student applicants (and students only) can apply for financial support to >> cover their trip expenses. Financial support will be given in priority to >> students who would not be able to attend the summer school without >> financial help or a registration fee waiver, despite having an excellent >> academic background and a previously demonstrated interest in machine >> learning or any related discipline. The limited support funds we have will >> be allocated on a competitive basis, upon reviewing application documents. >> >>> >> ============================================ >> >> Application Process >> >> ============================================ >> >>> >> Applicants will be asked to submit a CV, a cover letter, and, for student >> applicants only, >> >> a short letter of recommendation (to be submitted electronically) from >> one referee of their choice. >> >>> >> Participants are encouraged to discuss their own work with their peers >> and the speakers. >> >> Applicants are thus invited to provide the title/abstract of a poster >> they would like to >> >> present at the school. >> >>> >> Please apply here: >> http://www.iip.ist.i.kyoto-u.ac.jp/mlss15/doku.php?id=application >> >>> >> ============================================ >> >> Important Dates >> >> ============================================ >> >>> >> Application Opens: January 22 (NOW!) >> >> Application Deadline: April 10 ---> *now April 14, 23:59 UTC* >> >> Acceptance notification: April 24. >> >> Registration Fees Payment Deadline: May 12. >> >> Summer School Dates: August 23 (Sun.) - September 4 (Fri.) >> >>> >> ============================================ >> >> For inquiries, please contact: >> >>> mlss.kyoto.2015 at gmail.com >> ============================================ >> > -------------- next part -------------- An HTML attachment was scrubbed... URL: From Bastian.Bischoff at de.bosch.com Wed Apr 8 03:52:19 2015 From: Bastian.Bischoff at de.bosch.com (Bischoff Bastian (CR/AEY2)) Date: Wed, 8 Apr 2015 07:52:19 +0000 Subject: Connectionists: Position as Deep Learning Research Engineer at Bosch R&D Message-ID: <367afbe9fbe54a689cdea0d05ffb40ca@SI-MBX1029.de.bosch.com> Bosch Research & Development -- Deep Learning Research Engineer Bosch R&D in Renningen, Germany, is looking for excellent deep learning researchers. Tasks - Development and implementation of novel Deep Learning (DL) algorithms with focus on industrial application domains, e.g. computer vision for highly automated driving, robotics, internet of things, and industry 4.0 - Content-oriented leadership & guidance of existing Deep Learning and Machine Learning experts - Strategy development for the field of DL with focus on Bosch applications, support in strategic decision making with regard to various product lines - Evaluation and comparison of DL algorithms for specific applications and related tasks, in particular with regard to performance, training, and suitability for embedded applications - Technical discussions and creation of new ideas & applications within the existing machine learning research team - Close contact to the scientific and industrial community in DL, scouting and assessment of new approaches, publications on top conferences and journals - Software contributions to our GPU Cluster Requirements - Masters degree in Computer Science, Mathematics, or Physics, with Ph.D. in Machine Learning (preferably Deep Learning) - Long lasting experience in development and implementation of state-of-the art DL technologies, for diverse applications - Proven programming skills, in particular C++ and Python, strong experience with DL frameworks such as Caffe, Theano, Pylearn2, Torch - Broad knowledge of machine learning algorithms & principles - Ability for leadership, teamwork, motivation for international collaboration and travel, and strong English skills Details and online application: https://your.bosch-career.com/de/web/de/de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/EN/552310A97B844F50E10080000A032126 Bastian Bischoff -------------- next part -------------- An HTML attachment was scrubbed... URL: From farzad.farkhooi at fu-berlin.de Wed Apr 8 10:07:45 2015 From: farzad.farkhooi at fu-berlin.de (farzad) Date: Wed, 08 Apr 2015 16:07:45 +0200 Subject: Connectionists: 4th Bernstein Sparks Workshop: Beyond Mean-Field Theory in the Neurosciences Message-ID: <55253631.1070207@fu-berlin.de> An HTML attachment was scrubbed... URL: From burbon000 at yahoo.com Sat Apr 4 17:34:03 2015 From: burbon000 at yahoo.com (Brian Urbon) Date: Sat, 4 Apr 2015 21:34:03 +0000 (UTC) Subject: Connectionists: unsubscribe Message-ID: <1158465819.356749.1428183243647.JavaMail.yahoo@mail.yahoo.com> unsubscribe -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicosia at dmi.unict.it Thu Apr 9 13:03:34 2015 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Thu, 9 Apr 2015 19:03:34 +0200 Subject: Connectionists: SSBSS 2015 Call for Abstracts - Synthetic & Systems Biology Summer School, Taormina - Italy July 5-9, 2015 - Discount Abstract Deadline: April 30 Message-ID: ______________________________________________________ Call for Abstracts (apologies for multiple copies) Please forward to anybody who might be interested ______________________________________________________ Synthetic & Systems Biology Summer School Taormina - Sicily, Italy, July 5-9, 2015 http://www.taosciences.it/ssbss2015/ ssbss.school at gmail.com DEADLINES Discount Abstract Deadline: April 30, 2015 Late Abstract Deadline: May 30, 2015 Discount Registration Deadline: April 30, 2015 SPEAKERS & LECTURES + Adam Arkin, University of California Berkeley, USA Lecture 1: "Genome-scale Discovery of the Determinants of Optimal Biological Function" Lecture 2: "On the Challenges in Engineering Activity in Complex Contexts from 100,000 Liter Bioreactors to Human Guts" + Jef Boeke, New York University, USA Lecture 1: TBA Lecture 2: TBA + Angela DePace, Harvard University, USA Lecture 1: "Developmental Gene Regulatory Networks" Lecture 2: "Measuring, Modeling and Manipulating Regulatory DNA" + Forbes Dewey, MIT, USA Lecture 1: "Quantitative Modeling of Molecular Pathways I: Fundamentals" Lecture 2: "Quantitative Modeling of Molecular Pathways II: Examples from Systems and Synthetic Biology" + Karmella Haynes, Arizona State University, USA Lecture 1: "Designing CRISPR for the Engineering of DNA in Mammalian Cells" Lecture 2: "Mapping and Engineering of Chromatin in Mammalian Cells" + Richard Kitney, Imperial College London, UK Lecture 1: TBA Lecture 2: TBA + Timothy Lu, MIT, USA Lecture 1: "Biological Computing and Memory with Digital and Analog Paradigms" Lecture 2: "Synthetic Biological Applications for Human Health" + Philip Maini, Oxford University, UK Lecture 1: "Mathematical Modelling of Biological Pattern Formation" Lecture 2: "Modelling Invasions" + Giancarlo Mauri, University of Milano Bicocca, Italy Lecture: "Computational Methods in Systems Biology" + Steve Oliver, Cambridge University, UK Lecture 1: "Improving the yeast metabolic model as a tool in strain design" Lecture 2: "Harnessing synthetic biology and the Robot Scientist in drug discovery" + Velia Siciliano, MIT, USA Lecture: "Synthetic Biology in Mammalian Systems for Biomedical Applications" + Ron Weiss, MIT, USA Lecture 1: TBA Lecture 2: TBA + Nicola Zamboni, ETH, Switzerland Lecture 1: "Reconstruction of metabolic regulation by large-scale metabolomics" Lecture 2: "Bottom up modeling of dynamic metabolic systems" INDUSTRIAL PANEL + Jon D. Chesnut, Life Sciences Solutions Group -Thermo Fisher Scientific, USA Lecture: "CRISPR-based Genome Editing Tools: New Applications and Streamlined Workflows" + Speaker TBA, Autodesk Inc., USA Lecture: TBA + Zach Serber, Zymergen, Inc. USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA School Directors Jef D. Boeke, New York University, USA Giuseppe Nicosia, University of Catania, Italy Mario Pavone, University of Catania, Italy Giovanni Stracquadanio, University of Oxford, UK *Short Talk and Poster Submission* Applicants may submit a research abstract for presentation. School directors will review the abstracts and will recommend for poster or short-oral presentation. Abstract should be submitted by *April 30, 2015*. The abstracts will be published on the electronic hands-out material of the summer school. http://www.taosciences.it/ssbss2015/index.html#applicationForm http://www.taosciences.it/ssbss2015/ ssbss.school at gmail.com Apologies for multiple copies. Please forward to anybody who might be interested. This is an automatically generated email. -- Giuseppe Nicosia, Ph.D. Associate Professor of Computer Engineering Dept of Mathematics & Computer Science University of Catania Viale A. Doria, 6 - 95125 Catania, Italy P +39 095 7383048 nicosia at dmi.unict.it http://www.dmi.unict.it/nicosia ============================================================= International Synthetic & Systems Biology Summer School - SSBSS 2015 * Biology meets Computer Science & Engineering * July 5-9, 2015 - Taormina, Italy http://www.taosciences.it/ssbss2015/ ============================================================= International Workshop on Machine learning, Optimization and big Data - MOD 2015 July 21-24, 2015 - Taormina, Italy http://www.taosciences.it/mod-2015/ ============================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Thu Apr 9 15:16:01 2015 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Thu, 09 Apr 2015 15:16:01 -0400 Subject: Connectionists: NEURON Summer Course early registration discount Message-ID: <5526CFF1.70702@yale.edu> 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 From t.hospedales at qmul.ac.uk Thu Apr 9 18:29:29 2015 From: t.hospedales at qmul.ac.uk (Timothy Hospedales) Date: Thu, 9 Apr 2015 22:29:29 +0000 Subject: Connectionists: PhD Position in autonomous machine learning at QMUL Message-ID: <21517E6C-0469-4D96-BA30-258B1883BF55@qmul.ac.uk> PhD Position in Autonomous Machine Learning Queen Mary University of London School of Electronic Engineering & Computer Science Applications are invited for a fully funded PhD studentship undertaking research into robotic learning within the context of a European Union Horizon 2020-funded project DREAM (Deferred Restructuring of Experience in Autonomous Machines). DREAM is a joint Horizon 2020 project combining strength of 5 academic partners throughout Europe. The project aims to develop a machine that can accumulate and develop increasingly complex skills over an extended time period through consolidation and restructuring of knowledge. The successful candidate will develop models for machine perception and control that are capable of open-ended life-long learning. Nationality: Open to all. Deadline: 1st May 2015. Interviews expected: May 2015. Start Date: Autumn-Winter 2015. For more details and a application: http://www.jobs.ac.uk/job/AKW811/phd-studentship-in-autonomous-machine-learning/ For queries contact: Dr. Timothy Hospedales t.hospedales at qmul.ac.uk From byronyu at cmu.edu Thu Apr 9 17:42:56 2015 From: byronyu at cmu.edu (Byron Yu) Date: Thu, 9 Apr 2015 17:42:56 -0400 Subject: Connectionists: For Students-2015 GEM4 Summer Institute on Mechanobiology of the Brain In-Reply-To: References: Message-ID: [posted on behalf of Phil LeDuc] Hope you are well. As a follow-up, 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. Look forward to seeing many of you there. Best wishes and thanks again. Sincerely, Philip LeDuc Jimmy Hsia Subra Suresh From pablo.varona at uam.es Fri Apr 10 06:54:13 2015 From: pablo.varona at uam.es (Pablo Varona) Date: Fri, 10 Apr 2015 12:54:13 +0200 Subject: Connectionists: PhD position in closed-loop software technologies for neuroscience research Message-ID: <5527ABD5.7080604@uam.es> 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 at gmail.com Application procedure: applicants should send a CV and contact information for 2 references to Dr Pablo Varona (gnbuam at gmail.com). The deadline for applications is May 1st, 2015. http://www.ii.uam.es/~pvarona http://www.ii.uam.es/~gnb From kkuehnbe at uos.de Fri Apr 10 14:48:50 2015 From: kkuehnbe at uos.de (Kai-Uwe Kuehnberger) Date: Fri, 10 Apr 2015 20:48:50 +0200 Subject: Connectionists: PhD Position in Artificial Intelligence at the Institute of Cognitive Science in Osnabrueck Message-ID: <55281B12.7060604@uos.de> ----- The Artificial Intelligence Research Group (Prof. Dr. Kai-Uwe K?hnberger) of the Institute of Cognitive Science invites applications for 1 Research Assistant (Salary level E 13 TV-L, 50 %) to be filled as soon as possible for a period of 3 years. Description of Responsibilities: The position involves participation in the research activities of the Artificial Intelligence Group with an emphasis on the areas of knowledge representation and ontologies, computational creativity, and cognitive modeling. The AI group is focusing on models for non-classical forms of reasoning, e.g. analogical reasoning and concept blending. The position includes teaching Cognitive Science courses at B.Sc. and M.Sc. level (2 hours/week) and allows for further scientific qualification. Required Qualifications: Applicants are expected to have an above-average academic degree (Master/ Diploma), experience and interest in several of the domains listed above, basic knowledge in at least two of the following areas: formal logic and reasoning, development of algorithms, theory of neural networks, or practical knowledge in programming languages (e.g. Prolog, Java, ML/Scheme). Additionally, a good command of the English language is mandatory. As a certified family-friendly institution, Osnabr?ck University is committed to furthering the compatibility between work/studies and family life. As an employer, Osnabr?ck University is particularly concerned with creating equality opportunities for women and men. Woman with relevant qualifications are therefore strongly encouraged to apply for the positions. Preference will be given to women with equal qualifications. Qualified applicants with disabilities will be favored. Applications with the usual documentation should be submitted by e-mail in a single PDF-file to Prof. Dr. K.-U. K?hnberger (kkuehnbe at uni-osnabrueck.de) with a cc to office at ikw.uni-osnabrueck.de no later than April 21, 2015. Further information can be obtained from Prof. Dr. Kai-Uwe K?hnerger (kkuehnbe at uni-osnabrueck.de). ---- -------------- next part -------------- An HTML attachment was scrubbed... URL: From tonyr at cantabResearch.com Sat Apr 11 09:41:24 2015 From: tonyr at cantabResearch.com (Tony Robinson) Date: Sat, 11 Apr 2015 14:41:24 +0100 Subject: Connectionists: JOB: Machine Learning and Speech Recognition Developers Message-ID: <55292484.4070403@cantabResearch.com> Who'd have thought that two decades later Recurrent Neural Nets would return to become the dominant means of doing Speech Recognition. More details at https://www.speechmatics.com/careers or by email - some results on huge RNNs for language modelling are to be presented at ICASSP15 and can be found at http://arxiv.org/abs/1502.00512. Tony MACHINE LEARNING & SPEECH RECOGNITION DEVELOPERS Location: Cambridge, UK Contact: careers at speechmatics.com Background: Speechmatics provides some of the world?s fastest and most accurate speech recognition technologies, based in the cloud (SaaS). We are a Cambridge-based company that started commercialisation last summer and already support several large customers as well as many small companies. We are expanding rapidly and are seeking another 10-15 people in the coming months. This is an opportunity to join a high growth team and form a major part of its future direction. The Opportunity: We are creating ground-breaking technologies in the fields of machine learning, big data and speech recognition and as a result are looking for several machine learning & speech recognition developers. Your role will be to develop disruptive technologies in one of the following main speech recognition areas: decoding, acoustic modelling and language modelling. You will spend the majority of your time developing and improving one of these areas as well as collaborating closely with other team members to build large scale systems. Much of our work is cutting-edge research thus we are seeking individuals who are motivated by developing disruptive and novel approaches to machine learning and speech recognition. This role offers challenges across a wide variety of projects and responsibilities, including the opportunity to influence the direction of the business. Qualification: To succeed in this role, you must be a strong programmer and creative problem-solver who thrives in fast-paced environment. Your background is a numerical degree (2.1 minimum) and ideally practical experience in either big data, machine learning and/ or automatic speech recognition. You should also have some of the following skills: Essential: * Strong programming skills in at least Python or C/ C++, additional languages a bonus * Excellent academic record of achievement, having achieved a 2.1 or above in Computer Science or other similar technical/ scientific discipline * Strong Linux scripting skills * Theoretical Machine learning knowledge (with at least basic knowledge of modern ASR) Desired: * Experience with building machine learning libraries * Experience building and training neural networks (RNN/ DNN/ LSTM) * Experience with Kaldi, HTK or similar * Experience writing efficient CUDA code * Ability to implement low level code optimisations Preferable: * Implemented ASR on Android and/or iOS or experience programming smartphones * Knowledge of WFST / lattice processing algorithms * Worked with reverberant and noise robust speech recognition * Implemented diarisation and/or speaker identification We are building platform technology and therefore are challenged continually by the new uses that our customers are finding for it. The ability to take up a new challenge, quickly turn it around using an automated/machine learning solution and to personally learn from the experience is core to our team culture. Salary: We offer a competitive salary, bonus scheme and a generous EMI share option scheme. -- Dr A J Robinson, Founder, Cantab Research Ltd Speechmatics is a trading name of Cantab Research Limited We are hiring: www.speechmatics.com/careers Phone direct: 01223 778240 office: 01223 794497 Company reg no GB 05697423, VAT reg no 925606030 51 Canterbury Street, Cambridge, CB4 3QG, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From grlmc at urv.cat Sat Apr 11 11:14:42 2015 From: grlmc at urv.cat (GRLMC) Date: Sat, 11 Apr 2015 17:14:42 +0200 Subject: Connectionists: SLSP 2015: 1st call for papers Message-ID: *To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************************************************** 3rd INTERNATIONAL CONFERENCE ON STATISTICAL LANGUAGE AND SPEECH PROCESSING SLSP 2015 Budapest, Hungary November 24-26, 2015 Organised by: Laboratory of Speech Acoustics Department of Telecommunications and Telematics Budapest University of Technology and Economics http://alpha.tmit.bme.hu/speech/ Research Group on Mathematical Linguistics (GRLMC) Rovira i Virgili University http://grammars.grlmc.com/SLSP2015/ ********************************************************************************** AIMS: SLSP is a yearly conference series aimed at promoting and displaying excellent research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. It aims at attracting contributions from both fields. Though there exist large, well-known conferences and workshops hosting contributions to any of these areas, SLSP is a more focused meeting where synergies between subdomains and people will hopefully happen. In SLSP 2015, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology. VENUE: SLSP 2015 will take place in Budapest, on the banks of the Danube and an extensive UNESCO World Heritage site. The venue will be the Faculty of Electrical Engineering and Informatics of the Budapest University of Technology and Economics. SCOPE: The conference invites submissions discussing the employment of statistical models (including machine learning) within language and speech processing. Topics of either theoretical or applied interest include, but are not limited to: anaphora and coreference resolution authorship identification, plagiarism and spam filtering computer-aided translation corpora and language resources data mining and semantic web information extraction information retrieval knowledge representation and ontologies lexicons and dictionaries machine translation multimodal technologies natural language understanding opinion mining and sentiment analysis parsing part-of-speech tagging question-answering systems semantic role labelling speaker identification and verification speech and language generation speech recognition speech synthesis speech transcription spelling correction spoken dialogue systems term extraction text categorisation text summarisation user modeling STRUCTURE: SLSP 2015 will consist of: invited talks invited tutorials peer?reviewed contributions INVITED SPEAKERS: to be announced PROGRAMME COMMITTEE: Steven Abney (University of Michigan, Ann Arbor, USA) Jean-Fran?ois Bonastre (University of Avignon, France) Nicoletta Calzolari (National Research Council, Pisa, Italy) Kevin Bretonnel Cohen (University of Colorado, Denver, USA) W. Bruce Croft (University of Massachusetts, Amherst, USA) Udo Hahn (University of Jena, Germany) Mark Hasegawa-Johnson (University of Illinois, Urbana, USA) Jing Jiang (Singapore Management University, Singapore) Tracy Holloway King (A9.com, Palo Alto, USA) Claudia Leacock (McGraw-Hill Education CTB, Monterey, USA) Mark Liberman (University of Pennsylvania, Philadelphia, USA) Carlos Mart?n?Vide (Rovira i Virgili University, Tarragona, Spain, chair) Alessandro Moschitti (University of Trento, Italy) Jian-Yun Nie (University of Montr?al, Canada) Maria Teresa Pazienza (University of Rome Tor Vergata, Italy) Adam Pease (IPsoft Inc., New York, USA) Bhiksha Raj (Carnegie Mellon University, Pittsburgh, USA) Javier Ram?rez (University of Granada, Spain) Dietrich Rebholz-Schuhmann (University of Zurich, Switzerland) Douglas A. Reynolds (Massachusetts Institute of Technology, Lexington, USA) Michael Riley (Google Inc., Mountain View, USA) Stefan Schulz (Medical University of Graz, Austria) Tomoki Toda (Nara Institute of Science and Technology, Japan) Kl?ra Vicsi (Budapest University of Technology and Economics, Hungary) Enrique Vidal (Technical University of Valencia, Spain) Junichi Yamagishi (University of Edinburgh, UK) Pierre Zweigenbaum (LIMSI-CNRS, Orsay, France) ORGANISING COMMITTEE: Adrian Horia Dediu (Tarragona) Carlos Mart?n?Vide (Tarragona, co-chair) Gy?rgy Szasz?k (Budapest) Kl?ra Vicsi (Budapest, co-chair) Florentina Lilica Voicu (Tarragona) SUBMISSIONS: Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single?spaced pages (including eventual appendices, references, proofs, etc.) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Submissions have to be uploaded to: https://www.easychair.org/conferences/?conf=slsp2015 PUBLICATIONS: A volume of proceedings published by Springer in the LNCS/LNAI series will be available by the time of the conference. A special issue of a major journal will be later published containing peer?reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation. REGISTRATION: The registration form can be found at: http://grammars.grlmc.com/SLSP2015/Registration.php DEADLINES: Paper submission: June 23, 2015 (23:59 CET) Notification of paper acceptance or rejection: July 28, 2015 Final version of the paper for the LNCS/LNAI proceedings: August 11, 2015 Early registration: August 11, 2015 Late registration: November 10, 2015 Submission to the journal special issue: February 26, 2016 QUESTIONS AND FURTHER INFORMATION: florentinalilica.voicu at urv.cat POSTAL ADDRESS: SLSP 2015 Research Group on Mathematical Linguistics (GRLMC) Rovira i Virgili University Av. Catalunya, 35 43002 Tarragona, Spain Phone: +34 977 559 543 Fax: +34 977 558 386 ACKNOWLEDGEMENTS: Budapesti M?szaki ?s Gazdas?gtudom?nyi Egyetem Universitat Rovira i Virgili --- Este mensaje no contiene virus ni malware porque la protecci?n de avast! Antivirus est? activa. http://www.avast.com From francoisxavier.dupe at gmail.com Thu Apr 9 05:49:28 2015 From: francoisxavier.dupe at gmail.com (=?UTF-8?B?RnJhbsOnb2lzLVhhdmllciBEdXDDqQ==?=) Date: Thu, 09 Apr 2015 11:49:28 +0200 Subject: Connectionists: CFP: ICML 2015 Workshop Greed is Great Message-ID: <55264B28.9010004@gmail.com> An HTML attachment was scrubbed... URL: From k.bhatia at csc.mrc.ac.uk Thu Apr 9 07:46:06 2015 From: k.bhatia at csc.mrc.ac.uk (Bhatia, Kanwal K) Date: Thu, 9 Apr 2015 11:46:06 +0000 Subject: Connectionists: CfP: ICML Workshop on Machine Learning meets Medical Imaging, 11th July 2015 Message-ID: <3A43DEAAA439D4409FA4FF6F51A733096E718C71@icexch-m4.ic.ac.uk> ** Call for Papers ** We are pleased to announce the 1st Machine Learning meets Medical Imaging workshop (https://sites.google.com/site/icml2015mi/) held in conjunction with the International Conference on Machine Learning(http://icml.cc) 2015, in Lille France, on 11th July 2015. Developments in machine learning have opened up novel opportunities in knowledge discovery, analysis, visualisation and reconstruction of medical image datasets. However, medical images also pose several particular challenges for standard approaches, for instance, lack of data availability, poor image quality or dedicated training requirements. This workshop will cover both theoretical aspects as well as effective applications of machine learning. We are honoured to have the following invited speakers presenting: * Bertrand Thirion (Research Director, Parietal Team, INRIA) * John Ashburner (Professor, Functional Imaging Laboratory, University College London) * Marleen de Bruijne (Professor, Erasmus Medical Center, Rotterdam, University of Copenhagen) * Ben Glocker (Lecturer, Biomedical Image Analysis Group, Imperial College London) We invite innovative contributions in machine learning applied to all areas of medical imaging. Topics of interest include, but are not limited to: - Medical image analysis (segmentation, labelling, registration) - Modeling spaces of medical images - Learning on datasets of medical data - Classification and retrieval - Dimensionality reduction and sparse techniques - Deep learning with medical applications - Medical image reconstruction (CT, PET, MRI) Selected papers will be published in Springer format. Original submissions will be accepted in the LNCS format, 6 to 8 pages, single column. ** Important dates ** : - Deadline for submissions: ** 1st May 2015 23:59 PST ** - Notification of acceptance: 10th May 2015 - ICML early registration deadline: 15th May 2015 - Machine learning meets medical imaging workshop: 11th July 2015 For further information contact the organisers Kanwal Bhatia (k.bhatia at imperial.ac.uk) or Herv? Lombaert (herve.lombaert at inria.fr). -------------- next part -------------- An HTML attachment was scrubbed... URL: From yulei.frank.wu at gmail.com Thu Apr 9 05:09:06 2015 From: yulei.frank.wu at gmail.com (yulei.frank.wu at gmail.com) Date: Thu, 9 Apr 2015 17:09:06 +0800 Subject: Connectionists: CFP: The 13th IEEE International Conference on Pervasive Intelligence and Computing (PICom-2015), Liverpool, England, UK, 26-28 October 2015 Message-ID: <201504091709035827782@gmail.com> [Please accept our apologies if you receive multiple copies of this email] **************************** IEEE PICom-2015 CFP *************************** The 13th IEEE International Conference on Pervasive Intelligence and Computing (PICom-2015) http://cse.stfx.ca/~picom2015/ Liverpool, England, UK, 26-28 October 2015 Sponsored by IEEE, IEEE Computer Society and IEEE Technical Committee of Scalable Computing (TCSC) INTRODUCTION ============= Over the last fifty years, computational intelligence has evolved from logic-based artificial intelligence, nature-inspired soft computing, and social-oriented agent technology to cyber-physical integrated ubiquitous intelligence towards Pervasive Intelligence (PI). The International Conference on Pervasive Intelligence and Computing is intended to cover all kinds of these intelligent paradigms as well as their applications in various pervasive computing. PICom-2015 is the next event, in a series of highly successful International Conferences on Pervasive Intelligence and Computing (PICom), previously held as PCC-2003 (Las Vegas, USA, June 2003), PCC-2004 (Las Vegas, USA, June 2004), PSC-2005 (Las Vegas, USA, June 2005), PCAC-2006 (Vienna, Austria, April 2006), PCAC-2007 (Niagara Falls, Canada, May 2007) , IPC-2007 (Jeju, Korea, December 2007), IPC-2008 (Sydney, Australia, December 2008), PICom-2009 (Chengdu, China, December 2009), PICom-2011 (Sydney, Australia, December 2011), PICom-2012 (Changzhou, China, December 2012), PICom-2013 (Chengdu, China, December 2013), and PICom-2014 (Dalian, China, August 2014). PICom-2015 will be held on 26-28 October 2015 in Liverpool, UK. The goal of this year?s event is to bring together computer scientists, industrial engineers, and researchers to discuss and exchange experimental and theoretical results, novel designs, work-in-progress, experience, case studies, and trend-setting ideas in the areas of Pervasive Intelligence and Computing. SCOPE AND TPOCIS ================ Topics of particular interests include the following tracks, but are not limited to: - Artificial Intelligence & Knowledge Computing - Autonomous Agents and Multiagent Systems - Nature-inspired Intelligence & Soft Computing - Social Intelligence & Agent-based Computing - Ubiquitous Intelligence & Cyber-Physical Computing - The Internet of Things - Embedded Hardware, Software & Systems - Pervasive Computers and Devices, Wearable Computers, RFIDs, Sensor technology - Pervasive Networks & Communications - Pervasive Services & Systems, EaaS, SaaS, IaaS, PaaS - Multimedia Technologies & Applications - Intelligent HCI Design - Pervasive Electronic Market Management - Pervasive Mobile Commerce - Handheld Computing - Context-Aware Computing - Situation-Aware Reasoning and Recognition - Mobile Data Mining - Ubiquitous Data Mining - Activity Recognition - Cloud Computing and Services for Pervasive Computing - Smart Urban Spaces - Intelligent Social Networking - Pervasive Technologies for Intelligent Transportation Systems - Smart Homes - Ambient Intelligence - HCI for Pervasive Computing - Evolutionary Computation - Multimedia over Cognitive Radio Networks - Multimedia over Wireless Ad-hoc and P2P Networks - Mobility and Multimedia Data Traffic Modeling - Mobile Multimedia Test-beds And Related Research Infrastructures - Rapid Application Development for Mobile, Pervasive and Ubiquitous Systems IMPORTANT DATES ================ Workshop Proposal 30 April 2015 Submission Deadline: 15 June 2015 Authors Notification: 15 August 2015 Camera-ready Paper Due: 15 September 2015 Registration Due: 15 September 2015 Conference Date: 26-28 October 2015 PAPER SUBMISSION GUIDELINE ========================== All papers need to be submitted electronically through the conference website (http://cse.stfx.ca/~picom2015/sub/) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: From m-hasimt at ist.osaka-u.ac.jp Thu Apr 9 08:15:24 2015 From: m-hasimt at ist.osaka-u.ac.jp (Masafumi HASHIMOTO) Date: Thu, 09 Apr 2015 21:15:24 +0900 Subject: Connectionists: CFP: BICT 2015 SPECIAL TRACK ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (AISE) Message-ID: CFP: BICT 2015 SPECIAL TRACK ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (AISE) 9TH INTERNATIONAL CONFERENCE ON BIO-INSPIRED INFORMATION AND COMMUNICATIONS TECHNOLOGIES (FORMERLY BIONETICS) DECEMBER 3 (THU) - DECEMBER 5, 2015 (SAT) NYC, NY, USA Sponsored by European Alliance for Innovation (EAI) and Department of Biomedical Engineering at the Columbia University School of Engineering and Applied Science In-corporation with ACM (Pending) As software engineering is required to address automation, adaptation, optimization and scalability issues, other computer science disciplines come to play. Artificial Intelligence is one of them that may help in solve some challenges currently facing software engineering research and practice. Conversely, software engineering techniques can also play an important role to alleviate development cost and time of AI techniques as well as assist in introducing new AI techniques. Such mutual benefits have appeared in the past few decades and still evolve due to new challenges. The objective of the special track on Artificial Intelligence and Software Engineering (AISE) is to provide a forum for researchers and industry practitioners to exchange and discuss latest innovative synergy between AI and software engineering. Namely, we are interested in AI solutions to software engineering challenges, software engineering practices to answer AI obstacles, and techniques that could benefit these realms bi-directionally. This special track seeks high-quality original and unpublished papers in the following topics including but not limited to these topics: ? AI techniques for software engineering issues in emerging paradigms and systems such as big data, wearable computing, cloud computing and Internet of Things (IoT) ? AI techniques for optimization, transformation and configuration management ? AI techniques for software reuse, evolution, maintenance and refactoring ? AI techniques for reverse engineering and program comprehension ? AI techniques for concurrent/parallel software development and maintenance ? AI techniques for ontology and other semantic aspects in software engineering ? AI techniques for business process management and business rules ? AI techniques for aspect mining and pattern mining ? AI techniques for cost analysis and risk assessment in software projects ? Agent-based software engineering ? Visual modeling and model-driven development for AI techniques ? Domain modeling and software language engineering (e.g., domain-specific languages) for AI techniques ? Service-oriented computing and Cloud computing for AI-based techniques/software ? Object-oriented and aspect-oriented frameworks to implement and evaluate AI techniques ? Formal methods for AI techniques ? Rapid prototyping and scripting for AI techniques ? Software for knowledge acquisition and representation ? Software metrics applied to AI techniques ? Search engines in AI ? User interfaces for AI techniques AI techniques of interest include (but are not limited to): ? Machine Learning (unsupervised and supervised learning) ? Evolutionary Algorithms (e.g. GA, GP, ES) ? Swarm Intelligence ? Simulated Annealing ? Tabu Search ? Probabilistic Reasoning ? Fuzzy Logic ? Neural Networks ? Petri Nets ? Data Mining ? Game Theory ? Time Series Analysis ? Logic and reasoning ? Knowledge representation ? AI planning IMPORTANT DATES Regular paper submission due: August 3 Short and poster/demo paper submission due: September 22 Notification for regular papers: September 21 Notification for short and poster/demo papers: October 1 Camera ready due: October 15 PAPER SUBMISSION Authors are invited to submit regular papers (up to 8 pages each), short papers (up to 4 pages each) or poster/demo papers (up to 2 pages each) in the ACM format. Up to two extra pages are allowed for each paper with extra page charges. See http://bionetics.org/2015/show/initial-submission for more details. PUBLICATION All accepted paper will be published by ACM and submitted for indexing by SI, EI Compendex, Scopus, ACM Library, Google Scholar and others. Selected papers will be considered for publication in leading journals including: ? Elsevier Information and Software Technology ? Elsevier Information Sciences ? Springer Software Quality ? IEEE Transactions on NanoBioscience ? ACM/Springer Mobile Networks and Applications ? Elsevier Nano Communication Networks Journal ? Springer Complex Adaptive Systems Modeling (CASM) ? International Journal of Soft Computing and Networking TRACK CO-CHAIRS Richard Torkar Chalmers and the University of Gothenburg Sweden richard.torkar at gu.se Robert Feldt Blekinge Institute of Technology Sweden robert.feldt at bth.se Jun Suzuki University of Massachusetts, Boston USA jxs at cs.umb.edu PC MEMBERS Wasif Afzal, MDH, Sweden Shaukat Ali, Simula, Norway Lefteris Angelis, Aristotle University, Greece Omar El Ariss, Penn State Harrisburg, USA Ebrahim Bagheri, Ryerson University, Canada Lionel Briand, LUX, Luxembourg Li-Wei Chen, National Kaohsiung Normal University, Taiwan Shih-Hsin Chen, Cheng Shiu University, Taiwan Kehan Gao, Eastern Connecticut State University, USA Pedro Rangel Henriques, Universidade do Minho, Portugal Petra Hofstedt, Brandenburg University of Technology Cottbus, Germany Fuyuki Ishikawa, National Institute of Informatics, Japan Niklas Lavesson, BTH, Sweden Shih-Hsi Alex Liu, California State University, Fresno, USA Raphael Machado, National Institute of Metrology, Quality and Technology (Inmetro), Brazil Phil McMinn, University of Sheffield, UK Nikolaos Mittas, TEI of Kavala & Aristotle Univ., Greece Francisco Gomes de Oliveira Neto, UFCG, Brazil, netojin at gmail.com Simon Poulding, BTH, Sweden Rajeev Raje, Indiana University-Purdue University Indianapolis, USA Sergio Segura, University of Seville, Spain C?dric Tedeschi, IRISA - Campus de Beaulieu, France Jerffeson Teixeira de Souza, State University of Ceara, Brazil Tatsuhiro Tsuchiya, Osaka University, Japan Liguo Yu, Indiana University South Bend, USA Wen Zhang, Institute of Software Chinese Academy of Sciences, China Bin Zhou, University of Maryland, Baltimore County, USA Neil Walkinshaw, University of Leicester, UK Hiroshi Wada, Unitrends, Australia Hironori Washizaki, Waseda University, Japan From srdjan.ostojic at ens.fr Sun Apr 12 15:33:14 2015 From: srdjan.ostojic at ens.fr (Srdjan Ostojic) Date: Sun, 12 Apr 2015 21:33:14 +0200 Subject: Connectionists: Theory-Experiment postdoctoral position in Paris with Shihab Shamma and Srdjan Ostojic Message-ID: <552AC87A.4040805@ens.fr> 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 From bobd at waikato.ac.nz Sun Apr 12 23:40:42 2015 From: bobd at waikato.ac.nz (Bob Durrant) Date: Mon, 13 Apr 2015 15:40:42 +1200 Subject: Connectionists: CFP - 7th Asian Conference on Machine Learning Message-ID: <552B3ABA.6090100@waikato.ac.nz> With apologies for cross-posting, please find CFP for the 7th ACML below. Regards, Bob ------------------------------------------------------------------------------------------------------- ACML 2015 Call for Papers November 20-22, 2015, Hong Kong http://acml-conf.org/2015 ------------------------------------------------------------------------------------------------------- ACML aims to provide a leading international forum for researchers in machine learning and related fields to share their new ideas, progresses and achievements. Submissions from regions other than the Asia-Pacific are highly encouraged. ACML calls for high-quality, original research papers in the theory and practice of machine learning. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in machine learning. Topics covered include but are not limited to: - Learning Problems * Active learning * Bayesian machine learning * Dimensionality reduction * Feature selection * Graphical models Learning for big data * Learning in graphs * Multiple instance learning * Multi-objective learning * Multi-task learning * Semi-supervised learning * Sparse learning * Structured output learning * Supervised learning * Online learning * Transfer learning * Unsupervised learning - Analysis of Learning Systems * Computational learning theory * Experimental evaluation * Knowledge refinement * Reproducible research * Statistical learning theory - Applications * Bioinformatics * Biomedical information * Collaborative filtering * Healthcare * Computer vision * Human activity recognition * Information retrieval * Natural language processing * Social networks * Web search Important Dates ================== Workshop Proposal Deadline: May 11, 2015 Tutorial Proposal Deadline: May 11, 2015 Early Submission Deadline: May 11, 2015 Early Notification Date: June 22, 2015 Final Submission Deadline: August 3, 2015 Final Notification Date: September 21, 2015 Camera Ready Deadline: October 5, 2015 Paper Information ================== Papers should be written in English and formatted according to the JMLR Workshop and Conference Proceedings format. Paper submissions should ensure double-blind reviews. Please be sure to remove any information from your submission that can identify the authors, including author names, affiliations, self-citations and any acknowledgments. Proceedings will be published as a volume of JMLR: Workshop and Conference Proceedings. Authors of selected papers will be invited to submit a significantly extended version of their papers to special issues of machine learning journals. Review Process ================== ACML adopts two double-blind submission cycles. Papers not accepted from the first cycle might be invited as "conditional accept subject to required revisions", and "resubmit" with notification in time for them to make the submission deadline of the late cycle. The second cycle has the usual "accept" or "reject" outcomes. The submission of "conditional accept" decision is strongly encouraged to carefully address the review comments in their revision. The revision without addressing the review comments adequately will be rejected. The submission of "resubmit" decision must be significantly improved and revised before it can be re-submitted in the late deadline. Fresh submissions that have not made in the early cycle are also welcome for the late cycle. The late submission cycle will include an author rebuttal period. Organizing Committee ================== - General Co-Chairs * Irwin King, CUHK, Hong Kong * Hang Li, Huawei Noah?s Ark Lab, Hong Kong - Program Co-Chairs * Geoffrey Holmes, Waikato University, New Zealand * Tie-Yan Liu, MSRA, China - Local Arrangements Co-Chairs * Raymond Wong, HKUST, Hong Kong * Haiqin Yang, CUHK, Hong Kong - Workshop Co-Chairs * Zhengdong Lu, Huawei Noah?s Ark Lab, Hong Kong * Zenglin Xu, University of Electronic Science and Technology of China, China - Tutorial Co-Chairs * Chi-Shing Leung, City University of Hong Kong, Hong Kong * Yiu-Ming Cheung, Hong Kong Baptist University, Hong Kong - Publication Co-Chairs * Paul Pang, Unitec Institute of Technology, New Zealand * Kaizhu Huang, Xi?an Jiaotong-Liverpool University, China Steering Committee ================== Wray Buntine, NICTA, Australia Thomas G. Dietterich, Oregon State University, USA Tu Bao Ho, JAIST, Japan Wee Sun Lee, NUS, Singapore Chih-Jen Lin, NTU, Taiwan Bernhard Pfahringer, Waikato University, New Zealand Masashi Sugiyama, Tokyo Institute of Technology, Japan Takashi Washio, Osaka University, Japan Geoff Webb, Monash University, Australia Qiang Yang, HKUST, Hong Kong Zhi-Hua Zhou, Nanjing University, China From mpavone at dmi.unict.it Mon Apr 13 13:44:30 2015 From: mpavone at dmi.unict.it (Mario Pavone) Date: Mon, 13 Apr 2015 19:44:30 +0200 Subject: Connectionists: Int. Workshop on Machine learning, Optimization & big Data - MOD 2015 Call for Papers - Paper submission deadline: April 15, 2015 Message-ID: <20150413194430.Horde.ZUQ0Auph4B9VLAB_CbrxdbA@mbox.dmi.unict.it> [Apologies if you receive multiple copies of this announcement] [Please kindly help forward it to potentially interested attendees] International Workshop on Machine learning, Optimization and big Data - MOD 2015 An Interdisciplinary Workshop: Machine Learning, Optimization and Data Science without Borders, Taormina - Sicily, Italy, from July 21 to 24, 2015 http://www.taosciences.it/mod-2015/ modworkshop2015 at gmail.com ************************* CALL FOR PAPERS ************************* Paper submission deadline: April 15, 2015 http://www.taosciences.it/mod-2015/call-for-papers/ KEYNOTE SPEAKERS + Vipin Kumar, University of Minnesota, USA + Panos Pardalos, University of Florida, USA + Tomaso Poggio, MIT, USA TUTORIAL SPEAKERS + "Science SQL", Peter Baumann, Jacobs University Bremen, Germany + "Feature Selection for Supervised Classification", Mario Guarracino, Italian National Research Council, Italy + "Statistical inferences in Graphical Models with applications to Market Networks", Valeriy Kalyagin, National Research University - Higher School of Economics, Russia +"Kernel Methods with Imbalanced Data", Theodore B. Trafalis, University of Oklahoma, USA The MOD 2015 workshop will consist of one day of tutorials, followed by three days of main workshop sessions. We invite submissions of papers, abstracts and demos on all topics related to Machine learning, Optimization and Big Data including real-world applications for the workshop proceedings (http://www.taosciences.it/mod-2015/call-for-papers/) and proposals for tutorials (http://www.taosciences.it/mod-2015/call-for-tutorials/). MOD 2015 Paper Format Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Papers must be submitted in PDF. MOD 2015 Types of Submissions When submitting a paper to MOD 2015, authors are required to select one of the following four types of papers: * Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); * Short paper: an extended abstract of novel work (max. 4 pages); * Work for oral presentation only?(no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the workshop; * Work for poster presentation only. The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the workshop. MOD 2015 Post-Proceedings All accepted long papers will be published in a volume of the series 'Lecture Notes in Computer Science' from Springer after the Workshop. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on. All the other papers (short papers, abstract of the oral presentations, poster presentations) will be published on the MOD 2015 web site. MOD 2015 Submission System All papers must be submitted using EasyChair. The link to submit papers is the following: https://easychair.org/conferences/?conf=mod2015 The deadline is April 15, 2015 MOD 2015 Important Dates Late Breaking Papers/Abstracts Deadline: April 15, 2015 Author Notification: April 30, 2015 Late Breaking Posters/Demos Deadline: May 15, 2015 Author Notification: May 30, 2015 Camera Ready Submission Deadline: May 15, 2015 Deadline for early Registration as Presenting Author: May 15, 2015 Late registration: May 16 - July 24, 2015 On-Site registration: July 21-24, 2015 Workshop: July 21-24, 2015 MOD 2015 Program Committee The current MOD 2015 Program Committee includes more than 200 confirmed members: http://www.taosciences.it/mod-2015/program-committee/ Any questions regarding the submission process can be sent to workshop organizers: modworkshop2015 at gmail.com We look forward to seeing you in Taormina, Italy!!! MOD 2015 Organizing Committee. http://www.taosciences.it/mod-2015/ modworkshop2015 at gmail.com From silvio.sabatini at unige.it Tue Apr 14 10:29:58 2015 From: silvio.sabatini at unige.it (Silvio P. Sabatini) Date: Tue, 14 Apr 2015 16:29:58 +0200 Subject: Connectionists: =?utf-8?q?PhD_position=2C_University_of_Genoa=2C_?= =?utf-8?q?Italy_=E2=80=93_=22Multidimensional_peripersonal_space_sensing?= =?utf-8?q?=22?= Message-ID: <552D2466.8070703@unige.it> 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 at 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 at 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] -------------- next part -------------- An HTML attachment was scrubbed... URL: From rskhorshidi at gmail.com Tue Apr 14 11:18:14 2015 From: rskhorshidi at gmail.com (Reza Khorshidi) Date: Tue, 14 Apr 2015 16:18:14 +0100 Subject: Connectionists: Opening for a computer-vision scientist with deep-learning expertise Message-ID: <4A766A3A-0570-4E12-9596-F01C98CE3B7A@gmail.com> 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 . For any (informal) inquiries, please feel free to contact Hannah Gibson (hannah.gibson at aig.com ). -- Reza Khorshidi, D.Phil. (Oxon) Head, Special Projects Lab | Director (EMEA), Quantitative Analytics AIG, London -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Thu Apr 16 07:00:28 2015 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Thu, 16 Apr 2015 11:00:28 +0000 Subject: Connectionists: 18 Funded PhD opportunities (ESRs) in Machine Sensing (Machine Learning, Sparse Representations and Compressed Sensing) Message-ID: Dear Connectionists, We are currently recruiting a number of "Early Stage Researcher" (ESR) positions for PhD study, as part of a new "MacSeNet" EU-funded Marie Sklodowska-Curie Innovative Training Network in "Machine Sensing" (including Machine Learning, Sparse Representations and Compressed Sensing). These positions come with a competitive salary compared to regular PhD scholarships, so might also be of interest to young researchers who had not otherwise thought of taking a PhD. (Apologies for cross-posting.) Best wishes, Mark Plumbley ---- 18 Early Stage Researchers (ESRs) in Machine Sensing (Machine Learning, Sparse Representations and Compressed Sensing) EU H2020 MSCA Innovative Training Network (ITN) "MacSeNet: Machine Sensing Training Network " (H2020-MSCA-ITN-2014 642685) Project Website: http://macsenet.eu/ Applications are invited to a number of Early Stage Researcher (ESR) positions as part of the new EU-funded Marie Sklodowska-Curie Actions (MSCA) Innovative Training Network (ITN) "MacSeNet: Machine Sensing Training Network". The MacSeNet ITN (http://macsenet.eu/) brings together leading academic and industry groups to train a new generation of creative, entrepreneurial and innovative early stage researchers (ESRs) in the research area of measurement and estimation of signals using knowledge or data about the underlying structure. With its combination of ideas from machine learning and sensing, we refer to this research topic as "Machine Sensing". We will apply these new methods to problems such as: advanced brain imaging; inverse imaging problems; audio and music signals; and non-traditional signals such as signals on graphs. Early Stage Researcher (ESR) positions allow the researcher to work towards a PhD, for a duration of 36 months. ESRs should be within four years of the diploma granting them access to doctorate studies at the time of recruitment, and must not have spent more than 12 months in the host country in the 3 years prior to starting. MSCA ESRs are paid a competitive salary which is adjusted for their host country. Each of the ESR posts being recruited across MacSeNet has its own application process and closing date. The full list of Early Stage Researcher (ESR) Positions is as follows: * ESR1: Robust unsupervised learning (INRIA/CNRS/ENS Paris, France) * ESR2: Non-linear adaptive sensing/learning (INRIA/CNRS/ENS Paris, France) * ESR3: Beyond sparse representations: efficient structured representations (University of Edinburgh, UK) * ESR4: Next generation compressed sensing techniques for quantitative MRI (University of Edinburgh, UK) * ESR5: Next generation compressed sensing techniques for a fast and data-driven reconstruction of multi-contrast MRI (Technical University Munich, Germany) * ESR6: Next generation compressed sensing techniques for the fast and dynamic MRI (Technical University Munich, Germany) * ESR7: Blind source separation of functional dynamic MRI signals via distributed dictionary learning (University of Athens/Computer Technology Institute, Athens, Greece) * ESR8: Functional neuroimaging data characterisation via tensor representations (University of Athens/Computer Technology Institute, Athens, Greece) * ESR9: Phase imaging via sparse coding in the complex domain (Instituto de Telecomunica??es, Portugal) * ESR10: Patch-based, non-local, and dictionary-based methods for blind image deblurring (Instituto de Telecomunica??es, Portugal) * ESR11: Sparse coding in the complex domain for phase retrieval and lensless coherent diffractive imaging (Tampere University of Technology, Finland) * ESR12: Non-local HOSVD methods for denoising and super-resolution imaging (Noiseless Imaging, Finland) * ESR13: Audio Restoration and Inpainting (University of Surrey, UK) * ESR14: Sound Scene Analysis (University of Surrey, UK) * ESR15: Music source separation beyond sparse decomposition (Fraunhofer IDMT, Germany) * ESR16**: Sparse models and algorithms for data on large graphs (EPFL,Switzerland) * ESR17**: Towards efficient processing of 4D point clouds (EPFL,Switzerland) * ESR18**: Big data analysis of time series of origin-destination (OD) matrices (VisioSafe, Switzerland) ** - ESRS 16,17,18 will be funded by Swiss national funding For more details of all ESR positions, and information on how to apply, see http://macsenet.eu/#1 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk From samuel.kaski at aalto.fi Thu Apr 16 01:18:35 2015 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Thu, 16 Apr 2015 05:18:35 +0000 Subject: Connectionists: Postdoc and research fellow positions in machine learning, DL 26.4.2015 Message-ID: Postdoctoral and Research Fellow Positions in Computer Science in Helsinki, Finland Several machine learning positions are included, for core machine learning and key applications. List of the available 8 positions: https://www.hiit.fi/node/2857 Full call text: http://www.aalto.fi/en/about/careers/jobs/view/451/ Application deadline: 26.4.2015. From aapo.hyvarinen at helsinki.fi Thu Apr 16 10:08:01 2015 From: aapo.hyvarinen at helsinki.fi (Aapo Hyvarinen) Date: Thu, 16 Apr 2015 17:08:01 +0300 Subject: Connectionists: Post-doc on affective BCI Message-ID: <552FC241.1040507@helsinki.fi> A post-doc position combining machine learning with affective neuroscience, neuroimaging, and human activity measurements is available at Aapo Hyvarinen's research group at the Department of Computer Science of the University of Helsinki, Finland. The position is part of the project "Next generation affective life log: Machine learning with multimodal sensor networks" The goal of the project is to obtain information on a person's affective state (emotions, mood) using non-invasive measurements including brain imaging (EEG, fNIRS), body motion (Kinect etc.), psychophysiology, and other measurement modalities. Such affective information will be used for health-care and nursing purposes, e.g. for elderly people. Measurements are carried out in a dedicated house in which residents can be monitored during everyday life, including wearable brain imaging instruments. The project is in collaboration with Motoaki Kawanabe at ATR, a leading research institute at the cross-roads of machine learning and neuroscience. Long-term research visits to ATR in Japan (near Kyoto) are anticipated in the project, as the dedicated house and data collection are at ATR. The candidate should have an excellent PhD and publication record in machine learning, data science or related field, preferably with some experience in neural or human data analysis. Neuroscience/psychology PhD's with a very quantitative (methods) orientation can also be considered, as well as candidates who are likely to get a PhD within the next few months. The starting data is preferably 1 September 2015, but this is flexible. The duration is to be negotiated, by default starting by one year with possible extensions. The review of applications will start on May 6th and will continue until the position is filled. Please send applications and enquiries to aapo.hyvarinen at helsinki.fi, attaching (max size 5MB): CV, publication list, short statement of research interests, and names and email addresses of 2-3 people willing to give their opinion on your competence. -- ------------------------------------------------------------ Aapo Hyvarinen, Professor Dept of Computer Science, University of Helsinki ------------------------------------------------------------ From shyam at amrita.edu Thu Apr 16 06:15:24 2015 From: shyam at amrita.edu (Shyam Diwakar) Date: Thu, 16 Apr 2015 15:45:24 +0530 (IST) Subject: Connectionists: Call for contributions: AI/Neuroengineering for biomedical applications: monitoring, signal processing, disease identification and diagnostic aspects In-Reply-To: <28924978.23510.1429179193551.JavaMail.root@mail.amrita.edu> Message-ID: <24709596.23544.1429179324716.JavaMail.root@mail.amrita.edu> 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-SII20150226-01.pdf http://benthamscience.com/journal/index.php?journalID=nbe#top Lead guest editor: Eldon Rene (e.raj at 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From masulli at disi.unige.it Fri Apr 17 11:10:09 2015 From: masulli at disi.unige.it (Francesco Masulli) Date: Fri, 17 Apr 2015 17:10:09 +0200 Subject: Connectionists: Post-Doc position, Phd positions, and Pre-doctoral positions in Genoa (Italy) Message-ID: <55312251.9040106@disi.unige.it> PhD positions in Genova at DIBRIS - Univ. of Genoa (Italy) http://www.disi.unige.it/person/MasulliF/ricerca/PhDinGenova2015.html The call for some funded positions for the 3 years PhD studies at the Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS) in Genova is available at http://www.studenti.unige.it/postlaurea/dottorati/XXXI/ENG/. The deadline for application is June10th, 2015 and the PhD courses and fellowships should start on Nov 2015. Details for the application to the PhD Program in Computer Science and Systems Engineering are at http://phd.dibris.unige.it/csse/ Details for the application to the PhD Program in Bioengineering and Robotics are at http://phd.dibris.unige.it/csse/ The research activity of my research group is focused on Computational Intelligence, Machine Learning, Bioinformatics, Systems Biology, and Positive Technology as described at http://www.disi.unige.it/person/MasulliF/ricerca/index.html The research themes proposed by me and Prof. Stefano Rovetta are: - Computational Intelligence and Machine Learning (see http://www.disi.unige.it/person/MasulliF/ricerca/Phd2015-T1.html) for the PhD Program in Computer Science and Systems Ingegnering/Curriculum Computer Science (CODICE 5766) - Community detection in biomolecular networks (see http://www.disi.unige.it/person/MasulliF/ricerca/Phd2015-T2.html) for the PhD Program in Bioengineering and Robotics/Curriculum Bioengineering and Bioelectronics (CODICE 5747) - Computational Intelligence and Health and Wellbeing Support( see http://www.disi.unige.it/person/MasulliF/ricerca/Phd2015-T3.html) for the PhD Program in Bioengineering and Robotics/Curriculum Bioengineering and Bioelectronics (CODICE 5747) If you are interested to work under my supervision, you can also propose a different research theme belonging to the research activity of my group. I'm looking for PhD candidates self-motivated, interested to the mathematical aspects of their research and to the development of new algorithms for intelligent data analysis, and skilled in programming and in thorough experimental data analysis. They will be part of my research group and will collaborate to our research projects and publications. Italian and international students interested to work under my supervision are invited to send their cv and the name/email-addresses of 3 referees to my email address francesco.masulli at unige.it A.S.A.P. Prof. Francesco Masulli DIBRIS - Univ. Genoa From christos.dimitrakakis at gmail.com Sat Apr 18 09:43:42 2015 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Sat, 18 Apr 2015 13:43:42 +0000 Subject: Connectionists: CFP: AI-Sec 2015 [Artificial Intelligence and Security] Message-ID: ################################################################## CALL FOR PAPERS ACM Workshop on Artificial Intelligence and Security (AISec) 2015 with ACM Conference on Computer and Communications (CCS), 2015 October 16, 2015, Denver, Colorado, USA ################################################################## Workshop Website: http://www-bcf.usc.edu/~aruneshs/AISec2015.html Call -------------------------------------- Artificial intelligence (AI), machine learning (ML), and data mining (DM) are related to a number of emerging security and privacy problems. Firstly, AI algorithms are part of critical infrastructures, such as electrical grids, road networks and healthcare applications. ML is increasingly important for autonomous real-time analysis and decision-making in domains with a wealth of data. The use of learning methods in security sensitive domains creates new frontiers for security research, in which adversaries may attempt to mislead or evade intelligent machines. Additionally, ML and DM techniques create a wealth of privacy issues, due to the overabudance and accessibility of data. The 2015 ACM Workshop on Artificial Intelligence and Security (AISec) provides a venue for presenting and discussing new developments in this fusion of security/privacy with AI and machine learning. We invite both original submissions and presentation-only papers, describing research at the intersection of AI or machine learning with security, privacy and related problems. We also invite original position and open problem papers. Finally we again welcome a 'systematization of knowledge' category of papers, which should distill the AI or machine learning contributions of a previously published series of security papers. Important dates -------------------------------------- Paper submissions due: 8 June 2015 Author response: 12-14 July 2015 Acceptance notification: 19 July 2015 Camera ready due (FIRM DEADLINE): 29 July 2015 Workshop: Friday October 16, 2015 Keywords -------------------------------------- Topics of interest include, but are not limited to: Adversarial Learning Robust Statistics Online Learning Learning in games Economics of security Differential privacy Computer Forensics Spam detection Phishing detection and prevention Botnet detection Intrusion detection and response Malware identification Authorship Identification Big data analytics for security Distributed inference and decision making for security Secure multiparty computation and cryptographic approaches Privacy-preserving data mining Adaptive side-channel attacks Design and analysis of CAPTCHAs AI approaches to trust and reputation Vulnerability testing through intelligent probing (e.g. fuzzing) Content-driven security policy management & access control Techniques and methods for generating training and test sets Anomalous behavior detection (e.g. for the purposes of fraud prevention, authentication) Submissions -------------------------------------- This year we invite both original submissions and presentation-only papers. Please indicate the type of submission when submitting. Original submissions: This include original research, systematization of knowledge, and open problem/position papers. They must be at most 10 pages in double-column ACM format (note: pages must be numbered) excluding the bibliography and well-marked appendices, and at most 12 pages overall. Committee members are not required to read the appendices, so the paper should be intelligible without them. Submissions should be anonymized. We recommend the use of the ACM SIG Proceedings templates for submission. The ACM format is the required template for the camera-ready version. Accepted papers will be published by the ACM Digital Library and/or ACM Press. To meet page numbering requirements, you may use the following modified "style file" for initial submissions (thanks to Battista Biggio): modified ACM template. Both research and open problem papers will undergo a thorough review process. Presentation-only papers: As an experiment, this year we also invite presentation-only papers, for research currently under review elsewhere or published in 2015. These need not adhere to the ACM format and will not be published in the proceedings. They will undergo a light review for correctness, relevance and importance. Priority will be given to original submissions. Submissions can be made through EasyChair using the following link: https://www.easychair.org/conferences/?conf=aisec2015 For questions about the submission process, please contact the workshop co-chairs. Organizing committee -------------------------------------- Christos Dimitrakakis, Chalmers University of Technology, Sweden Katerina Mitrokotsa, Chalmers University of Technology, Sweden Arunesh Sinha, University of Southern California, USA Program Committee (Tentative List) -------------------------------------- Battista Biggio, University of Cagliari, Italy Michael Br?ckner, Amazon.com Inc, Germany Alvaro Cardenas, University of Texas at Dallas, TX, USA Kamalika Chaudhuri, University of California at San Diego, CA, USA Anupam Datta, Carnegie Mellon University, PA, USA Joseph Halpern, Cornell University, NY, USA Alex Kantchelian, UC Berkeley, CA, USA Pavel Laskov, University of T?bingen, Germany Daniel Lowd, University of Oregon, OR, USA Pratyusa Manadhata, HP Labs, USA Blaine Nelson, University of Potsdam, Germany Sai Teja Peddinti, Google Inc., USA Roberto Perdisci, University of Georgia, GA, USA Konrad Rieck, University of G?ttingen, Germany Fabio Roli, University of Cagliari, Italy Benjamin Rubinstein, University of Melbourne, Australia Robin Sommer, ICSI and LBNL, CA, USA Michael Tschantz, ICSI, Berkeley, CA, USA Doug Tygar, UC Berkeley, CA, USA Shobha Venkataraman, AT&T Research, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro at idsia.ch Sat Apr 18 10:14:31 2015 From: alessandro at idsia.ch (Alessandro Antonucci) Date: Sat, 18 Apr 2015 16:14:31 +0200 Subject: Connectionists: =?utf-8?q?IJCAI=E2=80=9915_Workshop_on_Sensitivit?= =?utf-8?q?y_Analysis_and_Robustness_in_Probabilistic_Graphical_Mod?= =?utf-8?q?els_=283rd_CfP=29?= Message-ID: 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 at idsia.ch skype: alessandro.antonucci tel: +41 916108515 web: www.idsia.ch/~alessandro _________________________________ From pauli at caltech.edu Sun Apr 19 14:20:27 2015 From: pauli at caltech.edu (Wolfgang Pauli) Date: Sun, 19 Apr 2015 11:20:27 -0700 Subject: Connectionists: Postdoc position in Crossmodal Learning - University of Hamburg, Germany Message-ID: The Biological Psychology and Neuropsychology section of the University of Hamburg seeks a scientist (postdoc) with documented backgrounds and interests in experimental psychology (in particular multisensory processing in humans), cognitive and computational neuroscience. Candidates will have a Ph.D. in psychology, (computational) neuroscience or a related discipline. Research experience is required in cognitive neurosciences, computational neuroscience, and either non-invasive electrophysiological or brain imaging techniques in humans. A recognizable background in modelling is mandatory. The successful candidate should have a proven track record (e.g. first-author publications) in these fields. The goal of the research project is to develop new paradigms and modeling approaches in the domain of crossmodal learning. The research will be part of a collaborative research project with other neuroscience and computational science groups at the University of Hamburg and four Universities and research institutes in Beijing (China). The candidate will be involved in preparing an application for an international collaborative research center. The start date will be decided by mutual agreement, but the position will be filled as soon as possible. The position is funded by a grant of the City of Hamburg. The contract will end by December 31, 2017. Salary is based on 1.0 TVL 13. To apply for the position or for more information, please email your letter of motivation, CV and names of three referees to: Dr. Brigitte R?der: Brigitte.Roeder at uni-hamburg.de (see www.bpn.uni-hamburg.de ). The (extended) deadline for applications is April 31, 2015. https://www.psy.uni-hamburg.de/arbeitsbereiche/biologische-psychologie-und-neuropsychologie/download/11032015-jobannouncement.pdf From mnick at mit.edu Mon Apr 20 12:53:11 2015 From: mnick at mit.edu (Maximilian Nickel) Date: Mon, 20 Apr 2015 12:53:11 -0400 Subject: Connectionists: Machine Learning Post-doc at LCSL (IIT@MIT) Message-ID: We have a vacancy for a postdoc position in the IIT Laboratory for Computational and Statistical Learning: http://lcsl.mit.edu/ - Research will concentrate on theory, algorithms and applications to learn from high dimensional data efficiently and provably with a focus on learning from multi-input/multi-output data - Learning data representation (dictionary learning, manifold learning, deep learning). Candidates should have a PhD in machine learning or a related field (statistics, signal processing, optimization, applied math). We are looking for a researcher at ease with theoretical/mathematical topics as well as willing to engage in computer implementations to solve interesting applied problems. *A competitive salary package commensurate with qualifications and experience will be offered.* Candidates should send a CV, 3 relevant publications and names of 2 referees to Lorenzo Rosasco (lorenzo.rosasco at iit.it) and Iulia Manolache ( iulia.manolache at iit.it). Please, mention "REF 8 - POST DOC CALL for the Laboratory for Computational and Statistical Learning" in your application. The position is open until filled but, for full consideration, please apply before July 1st, 2015. IIT is a private law Foundation, created with special Government Law no. 269 dated September 30th 2003 with the objective of promoting Italy's technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology. *In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data.We inform you that the information you provided will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia.Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego, 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data.Please also note that, pursuant to art. 7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager.Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.* -------------- next part -------------- An HTML attachment was scrubbed... URL: From poma at mmmi.sdu.dk Sun Apr 19 14:17:02 2015 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Sun, 19 Apr 2015 18:17:02 +0000 Subject: Connectionists: [meetings] CALL FOR CONTRIBUTIONS- Workshop: Embodied sensorimotor interaction: from locomotion to collective behavior at SWARM2015 Message-ID: CALL FOR CONTRIBUTIONS- Workshop: Embodied sensorimotor interaction: from locomotion to collective behavior at SWARM2015 ------------------------------------------------------------------------------------------------------------ Wednesday, October 28 (full-day), Kyoto University, Japan Deadline for poster abstract submission: June 30, 2015 Notification of acceptance: July 31, 2015 Workshop Overview ------------------ Animals show fascinating adaptive and versatile abilities. For example, they can move around and at the same time avoid obstacles in order to successfully navigate through their complex cluttered environment for finding their food source. While moving, they can also adapt their locomotion to deal with unknown situations. Furthermore, they can interact with each other to form collective behavior for anti-predator, enhanced foraging, and even increased locomotion efficiency. These complex achievements emerge from tightly as well as loosely coupled interactions between many ingredients including biomechanics (i.e., morphology, muscles, and materials), sensory feedback, centralized/decentralized mechanisms, and communication. Developing these key ingredients and implementing them in artificial systems to approach the level of performance of living creatures remains a grand challenge. To address these issues, our workshop at SWARM 2015 (http://www.ohk.hiroshima-u.ac.jp/SWARM2015/), "Embodied sensorimotor interaction: from locomotion to collective behavior" will bring together leading experts, working in the domains of bio-inspired robotics, swarm robotics, modular robotics, embodied AI, evolutionary robotics, and computational neuroscience, to present their recent developments on robot locomotion and collective behavior and discuss future directions to overcome this challenge. The full-day workshop is composed of the following parts: 1) Invited talks by experts from swarm robotics, bio-inspired locomotion control, and embodied AI, 2) poster presentations, 3) Discussion and future steps We are also pleased to invite contributions in the form of 1 page conf. style abstract http://www.ohk.hiroshima-u.ac.jp/SWARM2015/ on (but are not limited to) the following topics. The selected contributions will be presented in a form of a poster during the workshop. We particularly encourage young scientists to contribute and attend, even presenting their research at an early stage an engage in discussions. We also welcome live demonstrations on robot locomotion and collective behavior. Submissions have to be sent to poma at mmmi.sdu.dk in PDF format. One author per accepted workshop contribution (poster, demo) and attendee are required to register (http://www.ohk.hiroshima-u.ac.jp/SWARM2015/). The Workshop topics include (but are not limited to) the following: ------------------ - Bio-inspired robotics (e.g., walking robots, flying robots, etc.), - Locomotion control, - Collective behavior control, - Swarm and self-organizing systems (e.g., modular robots) ===================== Tentative List of Speakers: ? Dario Floreano (Laboratory of Intelligent Systems, EPFL, Switzerland) ? John Hallam (Centre for BioRobotics, The Maersk Mc-Kinney Moller Institute, SDU, Denmark) ? Kasper St?y (IT University of Copenhagen, Denmark) ? Andr? Seyfarth (Locomotion Laboratory, TU Darmstadt, Germany) ? Koh Hosoda (Dept. of Adaptive Machine Systems, Grad. school of Engineering, Osaka University, Japan) ? Yulia Sandamirskaya (Institute for Neural Computation, Ruhr-Universit?t Bochum, Germany) ? Shinya Aoi (Kyoto University, Japan) ? Yuichi Ambe (Kyoto University, Japan) ? Poramate Manoonpong (Centre for BioRobotics, The Maersk Mc-Kinney Moller Institute, SDU, Denmark) ===================== We hope that you will be able to attend and look forward to seeing you in Kyoto, Japan! The workshop organizers: Florentin W?rg?tter, Poramate Manoonpong, Yuichi Ambe, Shinya Aoi -------------- next part -------------- An HTML attachment was scrubbed... URL: From grlmc at urv.cat Sat Apr 18 13:27:59 2015 From: grlmc at urv.cat (GRLMC) Date: Sat, 18 Apr 2015 19:27:59 +0200 Subject: Connectionists: AlCoB 2015: presentation of work in progress Message-ID: <8FAC4422B00047A2B3C569C188EA9A1D@Carlos1> *To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ************************************************************************* The 2nd International Conference on Algorithms for Computational Biology (AlCoB 2015) invites authors to submit work in progress for presentation. AlCoB 2015 will be held in Mexico City on August 4-6, 2015. See http://grammars.grlmc.com/alcob2015/ Presentations are intended to enhance informal interactions with conference participants, at the same time permitting in-depth discussion. TOPICS Authors can submit presentations describing novel work in progress on any of the topics within the scope of the conference. They do not need to contain final results, but research that may lead to future interesting developments is welcome. KEY DATES Submission deadline: June 26, 2015 Notification of acceptance or rejection: 7 days after submission SUBMISSION Please submit a .pdf abstract through: https://www.easychair.org/conferences/?conf=alcob2015 It should contain the title, author(s) and affiliation, and should not exceed 500 words. PRESENTATION Each presentation will be allocated 15 minutes in the programme. PUBLICATION The presented work will not appear in the LNCS/LNBI proceedings volume of AlCoB 2015. However, it will be eligible for submission to the post-conference Journal of Computational Biology special issue. REGISTRATION Authors of work in progress have to register to the conference. They will pay a reduced fare. This comprises access to all sessions, one copy of the proceedings volume, coffee breaks and lunches. --- Este mensaje no contiene virus ni malware porque la protecci?n de avast! Antivirus est? activa. http://www.avast.com From tbesold at uni-osnabrueck.de Tue Apr 21 07:00:32 2015 From: tbesold at uni-osnabrueck.de (Tarek R. Besold) Date: Tue, 21 Apr 2015 12:00:32 +0100 Subject: Connectionists: Final Call for Papers: "Computational Creativity, Concept Invention, and General Intelligence" (C3GI) @ UNILOG-2015 Message-ID: <04D62A63-A27B-4C1F-9F4F-1672679AD1CF@uni-osnabrueck.de> +++ Apologies for multiple postings +++ **************************************************** Workshop on Computational Creativity, Concept Invention, and General Intelligence 2015 @UNILOG 2015, June 25/26, 2015, Istanbul/Turkey **************************************************** In conjunction with the 5th World Congress and School on Universal Logic ********************************** * Early bird registration extended * ********************************** For authors of accepted C3GI papers, the early bird registration deadline for UNILOG 2015 has been extended. Authors will be provided with the respective details upon acceptance of their contributions. ******************** * Workshop Webpage * ******************** http://www.cogsci.uos.de/~c3gi ****************************** * Workshop Topics & Audience * ****************************** The targeted audience for the workshop are researchers associated with the fields working in the development of computational models for creativity, concept formation, concept discovery, idea generation, and their overall relation and role to general intelligence. Furthermore, researchers coming from application areas, like computer-aided innovation (CAI) are welcome to submit papers for this workshop. Also, in 2015 especially researchers working on logical methods related to creativity, concept formation, and conceptual change are invited to submit original research contributions or opinion papers to the workshop. We invite papers that make a scientific contribution to the fields of computational creativity, idea generation and/or artificial general intelligence, with possible topics ranging from theoretical studies of human creativity, inventive capacities and intelligence (that in some way propose a computational model for the respective capability), through more practical contributions reporting on creative, inventive or generally intelligent computer systems (we particularly welcome implementations offering general or at least multiple sorts of results) and studies of systems and software supporting and/or guiding humans in the creative or inventive act, to application-based reports from fields like design, architecture or arts. Submissions connecting to several of the aforementioned topics are highly encouraged and welcome. Due to the open nature of the targeted topics, we hope for contributions from a broad variety of subdisciplines within AI and related areas. Relevant keywords include but are not limited to following high-level areas: - Computational Creativity & Creativity-Support Tools - Analogical Reasoning - Artificial General Intelligence - Automated Story Generation - Computer-Aided & Automated Mathematics - Computer-Aided Innovation - Computational Models for Conceptual Blending - Automated Poetry Generation - Automated Music Generation/Automated Composition - Automated Art Generation - Creativity in Problem Solving ******************* * Call for Papers * ******************* Anybody with an interest in the questions raised above is invited to submit a research or position paper as basis for discussions during the workshop. Submissions should be sent to Tarek R. Besold ( c3gi at cogsci.uos.de ). Accepted papers will be published online in the "Publication Series of the Institute of Cognitive Science" (PICS, ISSN 1610-5389), a scientific series from the Institute of Cognitive Science, University of Osnabrueck, unless the authors instruct us otherwise. As in previous years the organizers will check possibilities for publishing a post-workshop journal special issue or a collection of expanded contributions depending on the quality and number of submitted and accepted workshop papers. ******************* * Important Dates * ******************* Paper submission deadline (extended): 29th of April, 2015 Notification of acceptance: 17th of May, 2015 Camera ready versions: 31st of May, 2015 Workshop: 25th of June, 2015 ************************ * Format of Submission * ************************ All papers should be submitted in accordance to the Springer LNCS formatting style (available from the Springer webpage). Submitted papers should not be longer than 13 pages (with the last page exclusively reserved for bibliographic references). ********************* * Program Committee * ********************* Program Committee Co-Chairs: - T. R. Besold, University of Osnabrueck - K.-U. Kuehnberger, University of Osnabrueck - M. Schorlemmer, IIIA-CSIC, Barcelona - A. Smaill, School of Informatics, University of Edinburgh Program Committee: - J. Barnden, University of Birmingham - M. Bhatt, University of Bremen - S. Bringsjord, Rensselaer Polytechnic Institute - G. Cascini, Politecnico di Milano - J. Cassens, University of Hildesheim - S. Colton, Falmouth University - P. Gervas, Complutense University of Madrid - H. Gust, University of Osnabrueck - I. Havel, Charles University Prague - B. Indurkhya, IIIT Hyderabad/AGH University of Science and Technology, Krakow - A. Kofod-Petersen, NTNU Trondheim - U. Krumnack, University of Osnabrueck - O. Kutz, University of Magdeburg - A. Pease, University of Dundee - F. Pereira, ITSLab/MIT - E. Plaza, IIIA-CSIC, Barcelona - S. Schneider, University of Osnabrueck - P. Stefaneas, National Technical University Athens - T. Veale, University College Dublin - P. Wang, Temple University Philadelphia - G. Wiggins, Queen Mary University of London ************************ * Organizing Committee * ************************ Tarek R. Besold, University of Osnabrueck Kai-Uwe Kuehnberger, University of Osnabrueck Alan Smaill, University of Edinburgh Marco Schorlemmer, IIIA-CSIC ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Tarek R. Besold Institute of Cognitive Science University of Osnabr?ck (Germany) tbesold at uni-osnabrueck.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From farzad.farkhooi at fu-berlin.de Tue Apr 21 05:53:15 2015 From: farzad.farkhooi at fu-berlin.de (farzad) Date: Tue, 21 Apr 2015 11:53:15 +0200 Subject: Connectionists: 4th Bernstein Sparks Workshop: Beyond Mean-Field Theory in the Neurosciences In-Reply-To: <55253631.1070207@fu-berlin.de> References: <55253631.1070207@fu-berlin.de> Message-ID: <55361E0B.7040701@fu-berlin.de> Dear Colleagues, We have noticed that still there is a few seats available for attending the workshop and poster presentation and decided to extent the abstract submission for a week (till 28 April 2015). Please see below for more info or visit the workshop website at http://www.nncn.de/en/news/events/bernstein-sparks-workshop-mean-field-theory Bests, Farzad Guillaume -------- Forwarded Message -------- Subject: Connectionists: 4th Bernstein Sparks Workshop: Beyond Mean-Field Theory in the Neurosciences Date: Wed, 08 Apr 2015 16:07:45 +0200 From: farzad Reply-To: farzad at bccn-berlin.de To: connectionists at MAILMAN.SRV.cs.cmu.edu *4th Bernstein Sparks Workshop: Beyond Mean-Field Theory in the** **Neurosciences* June 3-5, 2015 Max Planck Institute for Dynamics and Self-Organization G?ttingen, Germany Bernstein Workshop website link A theoretical understanding of neural activity in the brain requires powerful mathematical techniques capable of handling a, nonlinear and noisy behavior. Throughout the past decades, many approaches originally developed for theoretical physics were adapted for problems in the neurosciences. Perhaps one of the most successful techniques to be refitted is the so-called mean-field theory for population dynamics. This approach was pioneered by Grossberg (1967) and Wilson, Cowan (1972) and others. Their key results were instrumental to important findings and predictions in computational neuroscience. Later on, the theory was extended with the inclusion of second-order statistics by van Vreeswijik and Sompolinski (1996) describing the observed irregular activity of excitatory and inhibitory neurons in cortex, so-called the balanced state. Although adapted mean?field approaches are successful in providing a good base for many experimental and theoretical observations, their limited ?averaging? scope fails to capture many important features of populations dynamics. For instance, phenomena that include spike dependent learning rules or network dynamics driven by external stimulations remain elusive. Moreover, it is unclear what mathematical techniques are needed to address these shortcomings. This workshop will focus on the inherent difficulties of neural population dynamics problems and newly arising research topics. The meeting aims to serve as a forum for key researchers working with mean-field approaches and/or their emerging alternatives to exchange their tools and views. The workshop will be limited to about 40 people, the hope being to provide an ample possibility of interaction and discussions. Confirmed speakers: Yonatan Aljadeff (UCSD, USA) Carson C. Chow (NIH, USA) John Hertz (Niels Bohr Institute, Denmark) Brigit Kriener (U of Texas, USA) Benjamin Lindner (BCCN and HU Berlin, Germany) Duane Nykamp (U of Minnesota, USA) Kanaka Rajan (Princeton U, USA) Alfonso Renart (Champalimaud, Portugal) Yasser Roudi (Kavli Institute, Norway) Wilhelm Stannat (BCCN und TU Berlin, Germany) Merav Stern (Columbia U, USA) Mark Timme (BCCN and MPI-DS G?ttingen, Germany) Jonathan Touboul (INRIA, France) Carl van Vreeswijk (CNRS, France) Fred Wolf (BCCN and MPI-DS G?ttingen, Germany) Please find further information under the following link: www.nncn.de/en/news/events/bernstein-sparks-workshop-mean-field-theory Bests regards, Farzad Farkhooi (Institut f?r Mathematik, Technische Universit?t Berlin and BCCN Berlin, Germany) Guillaume Lajoie (University of Washington Institute for Neuroengineering, Seattle, US and MPI-DS & BCCN G?ttingen, G?ttingen, Germany) From compsens at medizin.uni-tuebingen.de Tue Apr 21 06:09:21 2015 From: compsens at medizin.uni-tuebingen.de (Compsens) Date: Tue, 21 Apr 2015 12:09:21 +0200 Subject: Connectionists: =?utf-8?q?Phd__Position_University_of_T=C3=BCbing?= =?utf-8?q?en=2C_Germany?= Message-ID: <20150421120921.11231n9p13k2lf4h@webmail.uni-tuebingen.de> PHD POSITION: LEARNING OF COGNITIVE REPRESENTATIONS FOR HUMAN-ROBOT INTERACTION ============================================================ The Section for Computational Sensomotorics at the Center for Integrative Neurosciences and the Hertie Institute for Clinical Brain Research at the University of Tuebingen invites applications for a Postdoc or a PhD student, preferably with a good mathematical background for a maximum duration of 4 years. The position is funded within the EC research project COGIMON that includes multiple other European partners. This highly interdisciplinary project aims at the development of control algorithms and strategies for the interaction between humans and humanoid robots, ultimately leading also to biomedical applications. The available project focuses on the development of machine learning algorithms for the representation and control of interactive full-body movements, in close interaction with experiments with human subjects. This includes work with human motion capture data and marker-less tracking, techniques from computer animation, and related problems in control, exploiting appropriate techniques from machine learning. Our group has long expertise with the modeling and perception of complex human body motion. We are part of the Hertie Institute for Clinical Brain Science (HIH), one of the leading European institutions in Clinical Neuroscience and of the Excellence Center for Integrative Neuroscience (CIN) that hosts a large spectrum of experimental and theoretical groups in neuroscience at the University and the Max Planck Institutes. Ideal candidates should have the following qualifications: * Masters (PhD) degree in Computer Science, Electrical / Mechanical / Biomedical Engineering, Physics, or related fields with good mathematical training * programming experience (Matlab, C/C++, ...) * Knowledge about control theory or machine learning * English speaking and writing skills. Committed to Equal Opportunities. Please send applications preferentially electronically (including CV, marks and 2 letters of reference) as soon as possible to Prof. Dr. Martin Giese, Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience, Otfried-M?ller. 25, 72076 Tuebingen, Germany; email: martin.giese at uni-tuebingen.de ================================================== Section for Theoretical Sensomotorics Dept. for Cognitive Neurology Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience University of Tuebingen Otfried-M?ller Str. 25 D-72076 Tuebingen GERMANY Tel.: +49 7071 2989124 Fax: +49 7071 294790 Email: martin.giese at uni-tuebingen.de Web: http://www.compsens.uni-tuebingen.de/ ============================================== From compsens at medizin.uni-tuebingen.de Tue Apr 21 06:11:48 2015 From: compsens at medizin.uni-tuebingen.de (Compsens) Date: Tue, 21 Apr 2015 12:11:48 +0200 Subject: Connectionists: =?utf-8?q?PhD__Position_University_of_T=C3=BCbing?= =?utf-8?q?en=2C_Germany_REHABILITATION_TRAINING_EXPLOITING_VR_AND_HUMANOI?= =?utf-8?q?D_ROBOT_TECHNOLOGY?= Message-ID: <20150421121148.21173rt3odf1q6w4@webmail.uni-tuebingen.de> PHD POSITION: REHABILITATION TRAINING EXPLOITING VR AND HUMANOID ROBOT TECHNOLOGY ============================================================ The Section for Computational Sensomotorics at the Center for Integrative Neurosciences and the Hertie Institute for Clinical Brain Research at the University of Tuebingen invites applications for a Postdoc or a PhD student for a maximum duration of 4 years. The position is funded within the EC research project COGIMON that includes multiple other European partners. This highly interdisciplinary project aims at the development of control algorithms and strategies for the interaction between humans and humanoid robots, ultimately leading to biomedical applications. The available project focuses on the development of interactive training paradigms with normal participants and selected patient groups that exploit Virtual Reality setups and later also humanoid robots. The work will include experiments with human participants as well as the development of appropriate paradigms and interactive setups. The efficiency of sensorimotor learning and its optimization by appropriate training protocols will be studied in the context of such applications. Our group has long-standing expertise with the modeling and perception of complex human body motion. We are part of the Hertie Institute for Clinical Brain Science (HIH), one of the leading European institutions in Clinical Neuroscience and of the Excellence Center for Integrative Neuroscience (CIN) that hosts a large spectrum of experimental and theoretical groups in neuroscience at the University and the Max Planck Institutes. Ideal candidates should have the following qualifications: * Masters (or PhD) degree in Biomedical Engineering, Computer Science, Engineering, and related fields, or in Psychology, or Biology * programming experience (Matlab, Python, ...) * Interest in experiments with human subjects and patients * English speaking and writing skills. Committed to Equal Opportunities. Please send applications preferentially electronically (including CV, marks and 2 letters of reference) as soon as possible to Prof. Dr. Martin Giese, Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience, Otfried-M?ller. 25, 72076 Tuebingen, Germany; email: martin.giese at uni-tuebingen.de ================================================== Section for Theoretical Sensomotorics Dept. for Cognitive Neurology Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience University of Tuebingen Otfried-M?ller Str. 25 D-72076 Tuebingen GERMANY Tel.: +49 7071 2989124 Fax: +49 7071 294790 Email: martin.giese at uni-tuebingen.de Web: http://www.compsens.uni-tuebingen.de/ ============================================== From heidi at stat.cmu.edu Mon Apr 20 13:51:19 2015 From: heidi at stat.cmu.edu (Heidi Rhodes Sestrich) Date: Mon, 20 Apr 2015 17:51:19 +0000 Subject: Connectionists: SAND7 - Statistical Analysis of Neural Data Workshop Message-ID: The seventh international workshop on Statistical Analysis of Neural Data (SAND7) will take place May 27-29, 2015, in Pittsburgh, PA. SOME TRAVEL SUPPORT REMAINS AVAILABLE There will be talks by senior investigators and junior investigators. http://sand.stat.cmu.edu There will also be a poster session, to which all participants are invited to contribute. Talks and posters may involve new methodology, investigation of existing methods, or application of state-of-the-art analytical techniques. Here are the confirmed keynote speakers: Marlene Cohen (University of Pittsburgh) Adrienne Fairhall (University of Washington) Michael Miller (Johns Hopkins) Mark Schnitzer (Stanford) Sebastian Seung (Princeton) Matt Wilson (MIT) This workshop series is concerned with analysis of neural signals from various sources, including EEG, fMRI, MEG, 2-Photon, and extracellular recordings. It aims to define important problems in neuronal data analysis and useful strategies for attacking them; foster communication between experimental neuroscientists and those trained in statisti- cal and computational methods encourage young researchers, including graduate students, to present their work; and expose young researchers to important challenges and oppor- tunities in this interdisciplinary domain, while providing a small meeting atmosphere to facilitate the interaction of young researchers with senior colleagues. The organizers are Emery Brown, Elizabeth Buffalo, Rob Kass, Liam Paninski, Sri Sarma and Jonathan Victor. Heidi Sestrich Document Production Specialist Department of Statistics Carnegie Mellon University -------------- next part -------------- An HTML attachment was scrubbed... URL: From navlakha at salk.edu Tue Apr 21 23:54:28 2015 From: navlakha at salk.edu (Saket Navlakha) Date: Wed, 22 Apr 2015 03:54:28 +0000 Subject: Connectionists: Biological Distributed Algorithms 2015 Message-ID: <7B5DAF91-7B67-4374-B179-BE01D66DD25E@salk.edu> We are bringing together computer scientists interested in distributed algorithms and biologists interested in how local rules and interactions give rise to global behaviors. Details below. Submission deadline: May 22, 2015. ======================================================= The 3rd Workshop on Biological Distributed Algorithms (BDA 2015) August 18-19, 2015 in Boston, MA USA http://www.snl.salk.edu/~navlakha/BDA2015/ ======================================================= BDA is focused on the relationships between distributed computing and distributed biological systems. Such research can lead to better understanding of the behavior of the biological systems while at the same time developing novel computational algorithms that can be used to solve distributed computing problems. BDA 2015 will include presentations on distributed algorithms related to a variety of biological systems, including but not limited to communication and coordination in insect colonies (e.g. foraging, navigation, task allocation, construction) and networks in the brain (e.g. learning, decision-making, attention). =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. Ongoing work or submissions not fully formed are welcome. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and a 4-page extended abstract. Please use the following EasyChair submission link: https://easychair.org/conferences/?conf=bda20150 Note: The workshop will not include published proceedings. In particular, we welcome submissions of papers describing work that has appeared or is expected to appear in other venues. =============== IMPORTANT DATES =============== May 22, 2015 ? Extended abstract submission deadline June 15, 2015 ? Decision notifications August 18-19, 2015 ? Workshop ================ INVITED SPEAKERS ================ Yehuda Afek - Tel Aviv University Ziv Bar-Joseph - CMU Spring Berman - Arizona State Istvan Karsai - East Tennessee State Simon Garnier - NJIT Deborah Gordon - Stanford Nir Shavit - MIT Les Valiant - Harvard ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph - CMU Anna Dornhaus - University of Arizona Yuval Emek - Technion (co-chair) Amos Korman - CNRS and University of Paris Diderot Nancy Lynch - MIT Saket Navlakha - Salk Institute (co-chair) From cookie at ucsd.edu Wed Apr 22 11:52:06 2015 From: cookie at ucsd.edu (Santamaria, Cookie) Date: Wed, 22 Apr 2015 15:52:06 +0000 Subject: Connectionists: POSTDOCTORAL RESEARCHER IN SYSTEMS NEUROSCIENCE Message-ID: POSTDOCTORAL RESEARCHER IN SYSTEMS NEUROSCIENCE The BioCircuits Institute (BCI) and Departments of Physics, Chemistry/Biochemistry, Bioengineering, and Psychology and Neurobiology at the University of California, San Diego invite applications for a postdoctoral position in systems neuroscience, for experiments leading to the neuromorphic engineering of cognitive abilities. The ideal candidate will have experience with electrophysiology, with awake behaving animals, with neural modeling, and/or with biologically inspired integrated circuits and systems. Close interaction with other project researchers in computational and theoretical neuroscience, nonlinear dynamical systems, and neuromorphic engineering is involved. We will accept applications immediately. To be considered, please submit your complete application by Friday, 31 July 2015. We will begin making selections from the completed applications on 3 August 2015. The Committee will continue to accept and review completed applications as they are received until the position is filled. Appointments are for two years (in one-year increments) with the possibility of a third. Send your statement of qualifications and interest with curriculum vitae, your two most significant publications and three letters of reference to Tim Gentner, Henry Abarbanel, Gert Cauwenberghs, Katja Lindenberg, Mikhail Rabinovich, and Terrence Sejnowski via email to: >. A Ph.D. or equivalent doctoral degree is required prior to the appointment. UCSD is an EO/AA employer. -------------- next part -------------- An HTML attachment was scrubbed... URL: From yael at Princeton.EDU Wed Apr 22 10:26:08 2015 From: yael at Princeton.EDU (Yael Niv) Date: Wed, 22 Apr 2015 14:26:08 +0000 Subject: Connectionists: RLDM2015: Early registration deadline (April 28th) fast approaching In-Reply-To: <02AA476C-7FFE-4F4B-8B84-8B3909CA04E3@Princeton.EDU> References: <02AA476C-7FFE-4F4B-8B84-8B3909CA04E3@Princeton.EDU> Message-ID: <12E00AE1-1141-4E52-8310-FE352129E395@princeton.edu> The 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2015) www.rldm.org June 7-10, The University of Alberta, Edmonton, Alberta, Canada ====================================================== Registration for RLDM2015 is now open at http://rldm.org/rldm2015/registration/ Early registration deadline: April 28th, 11:59PM EST (less than a week from today) Early registration fees are $480 CAD (Canadian dollars) for regular registration and $250 CAD for student/postdoc for meeting + tutorials, or somewhat less for meeting only. Late registration is considerably more expensive so please register early! Registration fees include three light breakfasts and all coffee breaks, two lunches, and one banquet dinner. RLDM2015 Invited speakers: http://rldm.org/rldm2015/invited-speakers2015/ RLDM2015 Tutorials: http://rldm.org/rldm2015/tutorials/ To ensure that you receive future announcements about RLDM2015 please join our mailing list at http://tinyurl.com/RLDMlist (you must log in to google to see the ?join list? button, and choose ?all email? from the options at the bottom). From mdhamala at phy-astr.gsu.edu Thu Apr 23 12:03:13 2015 From: mdhamala at phy-astr.gsu.edu (Mukesh Dhamala) Date: Thu, 23 Apr 2015 12:03:13 -0400 Subject: Connectionists: Senior Level Faculty Position in Experimental Nano-Optics Message-ID: <553917C1.4000006@phy-astr.gsu.edu> Senior Level Faculty Position in Experimental Nano-Optics Center for Nano-Optics and Department of Physics and Astronomy, Georgia State University, Atlanta, GA, USA The newly organized Center for Nano-Optics (CeNO) and the Department of Physics and Astronomy at Georgia State University (GSU) are seeking to fill a faculty position at a senior tenured faculty position (Full Professor) in experimental nanooptics and nanoplasmonics. The senior faculty member will strongly enhance experimental programs in nanooptics at GSU, will attract significant extramural funding, and will collaborate with other members of CeNO and faculty of the GSU Departments of Physics and Astronomy, Chemistry, Biology, and other GSU units. Candidates for the Senior Faculty position must meet all requirements for Full Professor, including doctorate in Physics, Chemistry, or Engineering, proven and sustained record of academic success and recognition, high-impact publications, and an excellent history of extramural funding. We are seeking candidates who have received national and international recognition for accomplishments in research and applications in nano-optics, nanoplasmonics, ultrafast optics, and/or related fields. This position carries a highly competitive salary, attractive benefits, and an excellent startup package commensurate with the candidate?s qualifications. Specific details are negotiable. Applications should include 1) a CV, including a publication list, 2) a statement of the candidate?s research interests and how the research compliments that at GSU, 3) a statement of teaching experience and philosophy, and 4) contact information for at least three references. All materials should be submitted via email to PhySearch at phy-astr.gsu.edu to the attention of Dr. Mark Stockman, Director of CeNO and Distinguished University Professor, Center for Nano-Optics and Department of Physics and Astronomy, Georgia State University, Atlanta, GA 30303. Questions regarding the position can be addressed to Dr. Stockman at mstockman at gsu.edu. The position will remain open until filled. An offer of employment will be conditional on background verification. Georgia State University, a unit of the University System of Georgia, is an equal opportunity educational institution and an EEO/AA employer. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mdhamala at phy-astr.gsu.edu Thu Apr 23 11:57:45 2015 From: mdhamala at phy-astr.gsu.edu (Mukesh Dhamala) Date: Thu, 23 Apr 2015 11:57:45 -0400 Subject: Connectionists: Multiple Senior-Level Faculty Positions in Human Neuroimaging at Georgia State University Message-ID: <55391679.60300@phy-astr.gsu.edu> *Multiple Senior-Level Faculty Positions in Human Neuroimaging at Georgia State University in Atlanta * As part of its Second Century Initiative and pending budgetary approval, Georgia State University, Atlanta, GA anticipates hiring up to 2 tenure-track faculty members (applicants at Associate or Full Professor-levels only) with research programs in human behavior and expertise in neuroimaging, to begin Fall 2016. We seek established scientists who will join our growing cadre of researchers who are capitalizing on our state-of-the-art facilities at the /GSU/GT Joint Center for Advanced Brain Imaging (CABI; http://www.cabiatl.com/CABI/), /and//help advance current GSU research initiatives that include Brains and Behavior ( http://brainsbehavior.gsu.edu/) and Language and Literacy (/http://www.researchlanglit.gsu.edu/) and may build upon our current strengths in atypical development and learning (/http://www2.gsu.edu/~wwwaty /), clinical neuropsychology, and/or cognitive science (http://www2.gsu.edu/~wwwpsy/graduate_programs.html ). A number of GSU units will support these individuals to drive a broad vision for interdisciplinary research. Ongoing activities at the CABI include functional and structural neuroimaging within the areas of working memory, cognitive control, reading and language, and emotion processing as well as with a wide range of clinical populations across the lifespan, including survivors of cancer, congenital heart disease, as well as other neurological, genetic, and psychiatric conditions. The candidate will be appointed in a relevant department (e.g., Psychology and/or Neuroscience, Physics) at Georgia State University. A Ph.D., M.D./Ph.D. or similar degree in psychology, neuroscience or a related research discipline is required. The successful candidate will have an outstanding record of research achievement, including a strong record of external research funding. The successful candidate will be expected to maintain a productive, funded research program in human neuroimaging, and will be expected to demonstrate graduate and undergraduate instructional effectiveness with a diverse student body. Interested individuals should send a curriculum vita, a cover letter stating research interests and experience, evidence of instructional effectiveness, and three letters of recommendation. Review of applications will continue until the positions are filled. Applications should be sent to the Human Neuroimaging Search Committee neuroimaging at gsu.edu An offer of employment will be conditional on background verification. Georgia State University, a Research University of the University System of Georgia, is an EEO/AA Employer and encourages applications from women and minority candidates. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sml at essex.ac.uk Thu Apr 23 12:36:09 2015 From: sml at essex.ac.uk (Lucas, Simon M) Date: Thu, 23 Apr 2015 16:36:09 +0000 Subject: Connectionists: Three Lectureships Message-ID: We are looking for people of outstanding ability who are passionate about research and education. The lectureships are in: ? Computer Science and Artificial Intelligence ? Computer Games and Artificial Intelligence ? Computational Finance These are tenure track, and equivalent to Assistant Professor grade. We are interesting in receiving applications from neural networks experts for all three posts (with additional experience depending on the details of each post). Closing date for applications: May 28, 2015 Preferred starting date: September 1, 2015 Salary ?38,511 - ?45,954 per annum More details: http://tinyurl.com/cseejobs Best wishes, Simon Lucas Professor Simon Lucas Head of School Computer Science and Electronic Engineering University of Essex, UK https://www.essex.ac.uk/csee/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpulina at uniss.it Thu Apr 23 13:07:01 2015 From: lpulina at uniss.it (Luca Pulina) Date: Thu, 23 Apr 2015 19:07:01 +0200 Subject: Connectionists: CALL FOR APPLICATIONS - The 11th Reasoning Web Summer School (RW 2015) Message-ID: <553926B5.1030401@uniss.it> An HTML attachment was scrubbed... URL: From lpulina at uniss.it Thu Apr 23 12:56:50 2015 From: lpulina at uniss.it (Luca Pulina) Date: Thu, 23 Apr 2015 18:56:50 +0200 Subject: Connectionists: RR 2015 Doctoral Consortium - Call for Papers Message-ID: <55392452.1060809@uniss.it> An HTML attachment was scrubbed... URL: From marsili at ictp.it Thu Apr 23 13:32:00 2015 From: marsili at ictp.it (Matteo Marsili) Date: Thu, 23 Apr 2015 19:32:00 +0200 Subject: Connectionists: FACULTY POSITION IN QUANTITATIVE LIFE SCIENCES AT ICTP, TRIESTE ITALY Message-ID: FACULTY POSITION IN QUANTITATIVE LIFE SCIENCES AT THE ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS (ICTP). ICTP is seeking applicants for a new faculty position in its recently established Quantitative Life Sciences (QLS) research section. QLS responds to the theoretical challenges arising from recent advances in large-scale experiments in biology and neurosciences. The successful applicant will play a leading role in establishing the new section, promoting cutting-edge research in quantitative biology and supervising graduate students. Areas of interest include systems biology, biological networks, systems and computational neuroscience. Applicants should have an outstanding international reputation with at least 4 years of scientific research experience. The position, which will start in October 2015, will be at the P3 UNESCO level, with a starting salary of $78100. Other benefits include family allowance, home travel, education grant for dependent children, pension plan and medical insurance. Full details of the position, along with a link to the UNESCO online application, are available on ICTP's employment webpage and at http://www.ictp.it/about-ictp/personnel-office/employment.aspx The deadline is 3 June 2015. For further information please contact ICTP's Personnel Office at personnel_office at ictp.it . ICTP, based in Trieste, Italy, provides a top class multi-disciplinary research environment in theoretical sciences, with cutting edge research, education and training, and it has been a driving force behind global efforts for the advancement of science in the developing world. -------------- next part -------------- An HTML attachment was scrubbed... URL: From T.Nowotny at sussex.ac.uk Fri Apr 24 10:47:41 2015 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Fri, 24 Apr 2015 14:47:41 +0000 Subject: Connectionists: PhD studentship in Computational Neuroscience at University of Sussex Message-ID: Dear Connectionists, A PhD studentship in Computational Neuroscience for 3 years is available in the group of Prof Thomas Nowotny from September 2015. The studentship forms part of a new research project on olfactory sensing financed by the Human Frontiers Science Program. The work in the project is designed to investigate how animals can use fine temporal information in odour stimuli to recognise ?odour objects?, i.e. meaningful combinations of chemicals that indicate the presence of a behaviourally relevant odour. The project involves research groups from Germany, Japan, the USA, and the UK, working in areas ranging from electrophysiology to computational modelling and robotics. The studentship in Sussex will be focused on data analysis and computational modelling of brain networks. We are looking for a talented student with an interest in computational work. Applicants from all disciplines are welcome but essential skills are the ability to program, mathematical skills, e.g. to be able to learn dynamical systems analysis, and creative scientific thinking. The bulk of the work will be carried out on the beautiful Falmer campus of the University of Sussex at the outskirts of the lively South Coast town of Brighton. As part of the project you will travel to the project partners worldwide. The studentship covers a stipend (Currently ?13,863 annually, tax free) and fees at the level of UK/EU citizens. Application: Please apply through the post-graduate application system of the University of Sussex: http://www.sussex.ac.uk/study/pg/applying/2015entry Please include a brief statement of your scientific interests and skills/experience in the mandatory ?research proposal?, including how you would imagine your role in the HFSP project (max 2 pages) and include a full CV. Indicate Prof Nowotny as your preferred advisor and mention the HFSP project. When you apply, please send a copy of your application documents to t.nowotny at sussex.ac.uk Do not hesitate to get in touch at this address for any informal enquiries. Deadline: Applications will be considered on a rolling basis but candidates applying before 15 June can be sure to be considered. -- Prof. Thomas Nowotny CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics Fax: +44-1273-877873 University of Sussex Falmer, Brighton BN1 9QJ http://sussex.ac.uk/informatics/tnowotny -------------- next part -------------- An HTML attachment was scrubbed... URL: From oconnelr at gmail.com Fri Apr 24 08:57:33 2015 From: oconnelr at gmail.com (Redmond O'Connell) Date: Fri, 24 Apr 2015 13:57:33 +0100 Subject: Connectionists: Fwd: Postdoctoral Position at Trinity College Institute of Neuroscience In-Reply-To: References: Message-ID: *Post-doctoral Researcher in Decision Neuroscience.* *Trinity College Institute of Neuroscience and School of Psychology.* Duration: Up to Three years. Salary Range: ?37,750 - ?42,394 Closing date for applications: *8th May 2015* Applications are invited for a Postdoctoral research position at the Decision Neuroscience laboratory of Redmond O?Connell. The position is funded by the European Research Council and the successful applicant will have the opportunity to engage in an ambitious programme of research *characterizing the neural mechanisms that enable adaptive decision making in the human brain.* Reflecting the multi-modal approach of the O?Connell lab, these studies will involve a range of research methodologies including psychophysics, computational modelling, electrophysiology (EEG), eye tracking, pupilometry and transcranial direct current stimulation. The O?Connell lab comprises numerous undergraduate, postgraduate and postdoctoral researchers, providing a rich environment for exchanging ideas and learning new skills. The laboratory is based at the Trinity College Institute of Neuroscience which hosts state-of-the-art facilities including magnetic resonance imaging and a dedicated EEG suite. Applicants must have a Ph.D. in neuroscience or a related field and have experience and strong interest in cognitive neuroscience. Applicants with a background in engineering who fulfil these criteria are welcome to apply. The candidate must have strong analytic skills, be proficient in programming (especially Matlab), and have experience in psychophysics and EEG recording and analysis. Experience with computational modelling, magnetic resonance imaging or transcranial stimulation techniques is a strong plus. The ideal candidate will be reliable, highly motivated and productive, and enjoy working collaboratively. Applicants should send a curriculum vitae, contact information for 2-3 references, and a cover letter with a brief description of past research accomplishments as well as future research interests and career goals to Assistant Professor Redmond O?Connell reoconne at tcd.ie. For more information on The O?Connell Lab see: https://www.tcd.ie/Neuroscience/partners/PI%20Profiles/Redmond_OConnell.php For more information on the Trinity College Institute of Neuroscience see: https://www.tcd.ie/Neuroscience/ -- ____________________________ Redmond G. O'Connell, PhD Assistant Professor Trinity College Institute of Neuroscience and School of Psychology Lloyd Building Trinity College Dublin PH: +353 1 896 4543 -- ____________________________ Redmond G. O'Connell, PhD Assistant Professor Trinity College Institute of Neuroscience and School of Psychology Lloyd Building Trinity College Dublin PH: +353 1 896 4543 -------------- next part -------------- An HTML attachment was scrubbed... URL: From geazzo at gmail.com Fri Apr 24 10:40:37 2015 From: geazzo at gmail.com (George Azzopardi) Date: Fri, 24 Apr 2015 16:40:37 +0200 Subject: Connectionists: CFP: The First International Workshop on Computational Models of the Visual Cortex (CMVC), New York City, New York, 3-5 Dec 2015 References: Message-ID: <6CCDFA53-5D4E-49FD-96B1-DD0989010D53@gmail.com> Dear All, We are pleased to announce The First International Workshop on Computational Models of the Visual Cortex (CMVC) as part of the BICT (Bio-inspired Information and Communication Technologies) conference, which will be held in New York City, New York, 3-5 December (http://bionetics.org/2015/show/home) Background Much has been advanced since the early works of the Nobel prize winners Hubel and Wiesel about the function of neurons in the primary visual cortex of cats? brains. That work has been the source of inspiration of abundant neurophysiological studies to unveil the functionality of neurons in different areas of visual cortex. These experiments resulted in large amounts of data, which could then be used to design computational models to behave similarly to certain neurons in visual cortex. The contribution of such models is two-fold. They contribute to the better understanding of how visual information is processed in the brain, and they also contribute for the development of more robust algorithms in computer vision applications. The aim of this workshop is to bring together recent development of computational modelling of the visual cortex of the brain: Single cell modeling. Hierarchy of visual cortex areas Feedforward, feedback and inhibitory mechanisms. The appearance of neuronal properties: sparsity and selectivity. Circuitry: hierarchical representations and connections between layers. Selecting where to look: saliency and attention. Object recognition Contour detection Stereo Learning Important Dates Full papers due: July 31, 2015 Authors Notified: August 31, 2015 Camera-ready due: September 30, 2015 Paper submission We invite you to submit regular papers (up to 8 pages each), short papers (up to 4 pages each) or poster/demo papers (up to 2 pages each) in ACM's paper template. Up to two extra pages are allowed for each paper with extra page charges. See http://bionetics.org/2015/show/initial-submission for more details. Paper Submission Only PDF format is acceptable. Papers must be submitted to EasyChair: https://easychair.org/conferences/?conf=cmvc2015 For more information about the CMVC workshop please visit: http://cmvc.bionetics.org/2015/show/home Sincerely yours, Prof. Antonio Rodriguez-Sanchez Dr. George Azzopardi Co-chairs of CMVC?2015 -------------- next part -------------- An HTML attachment was scrubbed... URL: From pbrazdil at inescporto.pt Fri Apr 24 11:53:15 2015 From: pbrazdil at inescporto.pt (Pavel Brazdil) Date: Fri, 24 Apr 2015 16:53:15 +0100 Subject: Connectionists: CFP for Workshop MetaSel-2015 of ECML/PKDD-2015 Message-ID: [Apologies for cross-postings] ################################################################# ECML/PKDD 2015 Workshop on Meta-learning & Algorithm Selection (MetaSel) CALL FOR PAPERS http://metasel2015.inesctec.pt/ ################################################################# The 2015 International Workshop on Meta-learning & Algorithm Selection (MetaSel) will be held Monday, September 7th, 2015 in Porto, co-located with ECML/PKDD 2015. This workshop will provide a platform for discussing recent developments in the area of algorithm selection and configuration which arises in many diverse domains, such as machine learning, data mining, optimization and satisfiability solving. Algorithm selection and configuration are increasingly relevant today. Researchers and practitioners from all branches of science and technology face a large choice of parameterized machine learning algorithms, with little guidance as to which techniques to use. Moreover, data mining challenges frequently remind us that algorithm selection and configuration are crucial in order to achieve the best performance, and drive industrial applications. Topics Researchers working on the following topics are invited to submit a paper to the workshop. This list is not exhaustive, and other topics, strongly associated with algorithm selection and meta-learning, will be considered. * Algorithm / Model selection and configuration * Meta-learning and exploitation of meta-knowledge * Experimentation and evaluation of learning processes * Hyper-parameter optimization * Planning to learn and to construct workflows * Applications of workflow planning * Exploitation of ontologies of tasks and methods * Exploitation of benchmarks and experimentation * Representation of learning goals and states in learning * Control and coordination of learning processes * Meta-reasoning * Layered learning * Multi-task and transfer learning * Learning to learn * Intelligent design * Performance modeling and process mining Submissions and Review Process Authors may submit a full paper or as an extended abstract. Full papers can consist of a maximum of 12 pages, while extended abstracts are up to 2 pages, in the Springer format ( http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Full papers should present more advanced work, covering research or applications. Extended abstracts may present current, recently published or future research, and can cover a wider scope. For instance, they may be position statements, offer a specific scientific or business problem to be solved by machine learning (ML) / data mining (DM) or describe a demo or installation. Papers and extended abstracts in PDF must be submitted online via the Easychair submission interface at https://easychair.org/conferences/?conf=metasel2015. All submissions will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least two members of the Program Committee. All accepted submissions will be included in the workshop proceedings (as CEUR Workshop Proceedings). At least one author of each accepted full paper or extended abstract is required to attend the workshop to present the contribution. A selection of accepted papers will be presented in the plenary session. Other accepted submissions may be presented in the form of short talks and a poster session. The papers selected for plenary presentation will be identified in the Proceedings. Important dates: * Paper submission deadline: Monday, June 22, 2015 * Paper acceptance notification: Monday, July 13, 2015 * Paper camera-ready deadline: Monday, July 27, 2015 * Workshop day: Monday, September 7, 2015 Organizers: * Pavel Brazdil, LIAAD-INESC TEC/FEP, Univ. of Porto, Portugal * Joaquin Vanschoren, TU Eindhoven, Netherlands * Lars Kotthoff, University of British Columbia, Canada * Christophe Giraud-Carrier, Brigham Young Univ., USA Program Committee: * Pavel Brazdil, LIAAD-INESC TEC/FEP, Univ. of Porto, Portugal * Andr? C. P. Carvalho, USP, Brasil * Claudia Diamantini, Univ. Politecnica delle Marche, Italy * Johannes Fuernkranz, TU Darmstadt, Germany * Christophe Giraud-Carrier, Brigham Young University, USA * Krzysztof Grabczewski, Nicolaus Copernicus Univ., Poland * Frank Hutter, University of Freiburg, Germany * Christopher Jefferson, University of St Andrews, UK * Alexandros Kalousis, Univ. of Applied Sciences W.Switzerland * Joerg-Uwe Kietz, U.Zurich, Switzerland * Lars Kotthoff, University of British Columbia, Canada * Yuri Malitsky, IBM Research, USA * Bernhard Pfahringer, U Waikato, New Zealand * Vid Podpecan, Jozef Stefan Institute, Slovenia * Ricardo Prud?ncio, Univ.Federal de Pernambuco Recife(PE), Brasil * Samantha Sanders, Brigham Young University, USA * Michael Smith, Brigham Young University, USA * Carlos Soares, FEUP, University of Porto, Portugal * Guido Tack, Monash University, Australia * Joaquin Vanschoren, TU Eindhoven, Netherlands * Ricardo Vilalta, University of Houston, USA * Filip Zelezny, CVUT, Prague, R.Checa The workshop will be preceded by a tutorial on the same topic in the morning (9h-12h) for the benefit of participants of the workshop who have less experience in the area see http://metasel-tutorial2015.inesctec.pt/ for details). Complete details of the Workshop at: http://metasel2015.inesctec.pt/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From siddharth at iffsid.com Thu Apr 23 17:54:08 2015 From: siddharth at iffsid.com (Siddharth Narayanaswamy) Date: Thu, 23 Apr 2015 14:54:08 -0700 Subject: Connectionists: CFP: CVPR Workshop on Language and Vision Message-ID: <877ft25x4v.fsf@iffsid.com> CVPR Workshop on Language and Vision ------------------------------------ One Day CVPR Workshop in Boston, Massachusetts on Thursday 11th June, 2015 For details languageandvision.com *Keynote Speakers:* Tomaso Poggio (MIT), Linda Smith (Indiana University Bloomington), Fei-Fei Li (Stanford University) Tony Cohn (University of Leeds, UK) Jeffrey Mark Siskind (Purdue University) Song-Chun Zhu (UCLA) Stefanie Tellex (MIT) Jason J. Corso (University of Michigan) Mirella Lapata (University of Edinburgh, UK) Joyce Chai (Michigan State University) Kristen Grauman (UT Austin) The interaction between language and vision, despite seeing traction as of late, is still largely unexplored. This is a particularly relevant topic to the vision community because humans routinely perform tasks which involve both modalities. We do so largely without even noticing. Every time you ask for an object, ask someone to imagine a scene, or describe what you're seeing, you're performing a task which bridges a linguistic and a visual representation. The importance of vision-language interaction can also be seen by the numerous approaches that often cross domains, such as the popularity of image grammars. More concretely, we've recently seen a renewed interest in one-shot learning for object and event models. Humans go further than this using our linguistic abilities; we perform zero-shot learning without seeing a single example. You can recognize a picture of a zebra after hearing the description "horse-like animal with black and white stripes" without ever having seen one. Furthermore, integrating language with vision brings with it the possibility of expanding the horizons and tasks of the vision community. We have seen significant growth in image and video-to-text tasks but many other potential applications of such integration - answering questions, dialog systems, and grounded language acquisition - remain unexplored. Going beyond such novel tasks, language can make a deeper contribution to vision: it provides a prism through which to understand the world. A major difference between human and machine vision is that humans form a coherent and global understanding of a scene. This process is facilitated by our ability to affect our perception with high-level knowledge which provides resilience in the face of errors from low-level perception. It also provides a framework through which one can learn about the world: language can be used to describe many phenomena succinctly thereby helping filter out irrelevant details. *Call for papers* This one day workshop will be an interdisciplinary colloquium to discuss the multiple facets of vision and language. Contributions are welcome from all related fields on topics of interest including, but not limited to - language as a mechanism to structure and reason about visual perception, - language as a learning bias to aid vision in both machines and humans, - novel tasks which combine language and vision, - dialog as means of sharing knowledge about visual perception, - stories as means of abstraction, - transfer learning across language and vision, - understanding the relationship between language and vision in humans, - reasoning visually about language problems, and - joint video and language parsing. The workshop will also include a challenge related to the 4th edition of the =Scalable Concept Image Annotation Challenge= one of the tasks of ImageCLEF. http://imageclef.org/2015/annotation The Scalable Concept Image Annotation task aims to develop techniques to allow computers to reliably describe images, localize the different concepts depicted in the images and generate a description of the scene. The task directly related to this workshop is Generation of Textual Descriptions of Images. *Call for participation:* We invite contributions to the workshop in the form of a 1-2 page extended abstract, which will be showcased at a poster session. Contributions to the Generation of Textual Descriptions challenge will also be showcased at the poster session, and a summary of the results will be presented at the workshop. Contributions to be submitted via languageandvision at iffsid.com by the 22nd of May 2015. Abstracts are not archival and will not be included in the Proceedings of CVPR 2015. We welcome both novel and previously-published work. Note: Abstracts will also not be published online by the workshop, to preempt issues stemming from dual-submission policies at other conferences and workshops. From serge.thill at his.se Mon Apr 27 05:42:33 2015 From: serge.thill at his.se (Serge Thill) Date: Mon, 27 Apr 2015 09:42:33 +0000 Subject: Connectionists: 2nd International Summer School on Social Human-Robot Interaction Message-ID: <553E0489.7090308@his.se> [Apologies for cross-posting] Final Call for Participation ?2nd International Summer School on Social Human-Robot Interaction". 24th-28th of August 2015 Mariehamn, ?land, Finland URL: http://www.HRIsummerschool.org The 2nd International Summer School on Social Human-Robot Interaction welcomes PhD students and young researchers for an intensive five days of lectures and ateliers that cover a wide range of topics in social HRI. It follows up from the 1st Summer School, held at Christ?s College, Cambridge, UK. The summer school will be held in Mariehamn, ?land, Finland from Monday the 24th of August to Friday the 28th of August 2015. The summer school will have a wide-ranging programme of lectures, discussions and hands-on ateliers on topics such as social signal processing, robotics and autism, child-robot interaction, multi-modal communication, natural language interaction, smart environments, robot assisted therapy, interaction design for robots, tools and technologies, and ethics. The school is for participants who seek a background and hands-on experience in the interdisciplinary science and technology supporting social human-robot interaction. Interested students need to candidate to the summer school by sending an email to socialhri2015 at gmail.com with, in one pdf, a motivation letter, CV, and contact details of a referee person (more details are available on the website, under registration). Applications are accepted until the 5th of May, 2015 (note: extended deadline). The school is supported by the IEEE-RAS Summer School programme, and the EU projects DREAM and ROBOT-ERA; allowing us to reduce participation and accommodation fees (690? for a shared room; 810? for a single room). A maximum of 60 participants will be accepted. The International Summer School on Social Human-Robot Interaction is organized by Tony Belpaeme (Plymouth University, UK), Serge Thill (University of Sk?vde, Sweden) and Bram Vanderborght (Vrije Universiteit Brussel, Belgium). For information and queries, please visit the website at http://www.HRIsummerschool.org or email socialhri2015 at gmail.com. Kind regards and hope to see you in ?land, The Organizers: Tony Belpaeme, Serge Thill, and Bram Vanderborght From guido.schillaci at informatik.hu-berlin.de Mon Apr 27 06:09:12 2015 From: guido.schillaci at informatik.hu-berlin.de (Guido Schillaci) Date: Mon, 27 Apr 2015 12:09:12 +0200 Subject: Connectionists: CFP: Frontiers Research Topic on Re-Enacting Sensorimotor Experience for Cognition Message-ID: ***Apologies for multiple postings of this announcement*** ------------------------------------------ CALL FOR PAPERS ------------------------------------------ Research Topic on Re-Enacting Sensorimotor Experience for Cognition Frontiers in Robotics and AI, Section: Humanoid Robotics http://journal.frontiersin.org/researchtopic/3747 Hosted by Guido Schillaci (Humboldt-Universitaet zu Berlin, Germany), Verena V. Hafner (Humboldt-Universitaet zu Berlin, Germany) and Bruno Lara (Universidad Autonoma del Estado de Morelos, Mexico). IMPORTANT DATE Deadline for full article submission: 31 July 2015 Authors guidelines can be found here: http://www.frontiersin.org/about/authorguidelines (Note: Frontiers' publishing fees (http://www.frontiersin.org/about/publishingfees) are reduced when the paper is part of a Research Topic) ------------------------------------------ ------------------------------------------ Description of the Research Topic ------------------------------------------ Mastering the sensorimotor capabilities of our body is a skill that we acquire and refine over time, starting at the prenatal stages of development. This learning process is linked to brain development and is shaped by the rich set of multimodal information experienced while exploring and interacting with the environment. Evidence coming from neuroscience suggests that the brain forms and maintains body representations as the main strategy to this mastering. Although it is still not clear how this knowledge is represented in our brain, it is reasonable to think that such internal models of the body undergo a continuous process of adaptation. They need to match growing corporal dimensions during development, as well as temporary changes in the characteristics of the body, such as the transient morphological alterations produced by the usage of tools. In the robotics community there is an increasing interest in reproducing similar mechanisms in artificial agents, mainly motivated by the aim of producing autonomous adaptive systems that can deal with complexity and uncertainty in human environments. Although promising results have been achieved in the context of sensorimotor learning and autonomous generation of body representations, it is still not clear how such low-level representations can be scaled up to more complex motor skills and how they can enable the development of cognitive capabilities. Recent evidence from behavioural and brain studies suggests that processes of mental simulations of action-perception loops are likely to be executed in our brain and are dependent on internal motor representations. The capability to simulate sensorimotor experience might represent a key mechanism behind the implementation of further cognitive skills, such as self-detection, self-other distinction and imitation. However, empirical investigation on the functioning of similar processes in the brain and on their implementation in artificial agents is fragmented. In this Research Topic, we aim to condensate the latest developments and ideas on how to implement these skills in robotics. In being provided with a rich set of actuators and sensors, humanoid robots provide a perfect test bed for these investigations. Their characteristics are more easily comparable with ours, thus allowing for better human-robot interaction in human-designed environments. We welcome manuscripts that address new paradigms for learning and integrating multimodal sensorimotor information in artificial agents, the reuse of the sensorimotor experience for cognitive development and the further construction of more complex strategies and behaviours using these concepts. We also welcome interdisciplinary studies from developmental, cognitive and brain sciences that target similar topics. Studies are encouraged to provide comprehensive examination of the topics proposed, with the aim of providing a more coherent understanding of the key mechanisms behind plasticity in internal body representations and mental simulation processes for cognitive development. ------------------------------------------ We are looking forward to your submissions! Best regards, Guido Schillaci (guido.schillaci at informatik.hu-berlin.de) Verena V. Hafner (hafner at informatik.hu-berlin.de) Bruno Lara (bruno.lara at uaem.mx) Guest Associate Editors, Frontiers in Robotics and AI, Section: Humanoid Robotics http://journal.frontiersin.org/researchtopic/3747 -- Guido Schillaci, Dr. rer. nat. Humboldt-Universit?t zu Berlin Institut f?r Informatik - Adaptive Systems Group Rudower Chaussee 25 , Room 4.120 12489 Berlin - Germany Phone: +49 30 2093 3937 http://adapt.informatik.hu-berlin.de/schillaci From boracchi at elet.polimi.it Mon Apr 27 18:15:36 2015 From: boracchi at elet.polimi.it (Giacomo Boracchi) Date: Tue, 28 Apr 2015 00:15:36 +0200 Subject: Connectionists: [CFP] Intelligence for Cyber-physical and Embedded Systems: An IEEE Symposium @SSCI 2015 Message-ID: **CALL FOR PAPERS** Symposium on "Intelligence for Cyber-physical and Embedded Systems" (IntECS 2015) at IEEE Symposium Series in Computational Intelligence 2015 7 - 10 December 2015, Cape Town, South Africa ( http://ieee-ssci.org.za/) *IntECS 2015 Web site*: http://ies.deib.polimi.it/events/intecs-2015-ieee-ssci/ ********************************************************** *IMPORTANT DATES* Paper submission: June 14, 2015 Author notifications: September 4, 2015 Camera-ready submission: October 4, 2015 Early registration: October 4, 2015 Conference Dates: December 7 - 10, 2015 *********************************************************** In recent years, there has been an increasing interest in designing embedded and cyber-physical systems featuring intelligent skills. Beside addressing the specific tasks they have been designed for, these systems are expected, for example, to autonomously make decisions/activate reactions, perform self-diagnosis, and learn from and interact with the operating environment. This symposium addresses novel and emerging computational-intelligence and machine-learning solutions to provide such an intelligent behavior to embedded and cyberphisical systems. IntECS aspires at providing a forum for researchers who are actively working on intelligent embedded and cyberphisical systems and, more in general, on computational intelligent solutions for real world applications. The symposium will be held within the IEEE 2015 Symposium Series in Computational Intelligence (7 - 10 Dec. 2015, Cape Town, South Africa) **Topics** . Intelligence for embedded systems . Intelligence for cyber-physical systems . Cognitive fault-diagnosis systems . Smart objects and Internet of Things . Intelligent sensor networks . Intelligent sensors and robotics . Intelligent measurement systems . Adaptive solutions to operate in evolving/changing environments . Intelligent systems for real-world applications . Computational intelligence techniques for smart buildings and critical-infrastructure monitoring **Keywords** Embedded systems, cyber-physical systems, fault-diagnosis systems, intelligent applications, intelligent sensors, intelligent sensor networks, Computational Intelligence, Internet of Things. **Symposium Organizers** - Cesare Alippi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) cesare.alippi at polimi.it - Giacomo Boracchi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) giacomo.boracchi at polimi.it - Manuel Roveri (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) manuel.roveri at polimi.it **Technical Program Committee** Demetrios Eliadis, KIOS Research Center, Cyprus Stavros Ntalampiras, Politecnico di Milano, Italy Maurizio Bocca, Bosch Research and Technology Center, CA (USA) Michalis Michaelidis, Cyprus University of Technology, Cyprus Huajin Tang, A*STAR, Singapore Joe-Air Jiang, National Taiwan University, Taiwan Stefano Squartini, Universit? Politecnica delle Marche, Italy Rami Abielmona, Larus Technologies, Canada Dongbin Zhao, University of Chinese Academy of Science, China Guillerme DeSouza, University of Missouri-Columbia, USA Ana-Maria Credu, Universit? du Qu?bec en Outaouais, Canada **Paper Submission Procedure** Submissions must contain original, high quality, not submitted or elsewhere published work. Authors must submit their paper through the IEEE SSCI 2015 webpage http://ieee-ssci.org.za/ Accepted papers will be included in the IEEE SSCI 2015 proceedings and indexed through IEEExplore. Further information and Paper submission can be found at the IEEE SSCI 2015 webpage http://ieee-ssci.org.za/ *********************************************************** The call for papers as well as more detailed information can be retrieved from IntECS 2015 webpage http://ies.deib.polimi.it/events/intecs-2015-ieee-ssci/ and from the main SSCI 2015 webpage http://ieee-ssci.org.za/ Please make sure you select: "Intelligence for Cyber-physical and Embedded Systems" (IntECS 2015) during the submission process *********************************************************** -- Giacomo Boracchi, PhD DEIB - Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Via Ponzio, 34/5 20133 Milano, Italy. Tel. +39 02 2399 3467 http://home.dei.polimi.it/boracchi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From kotowicz at klab.caltech.edu Tue Apr 28 12:04:34 2015 From: kotowicz at klab.caltech.edu (Andreas Kotowicz) Date: Tue, 28 Apr 2015 18:04:34 +0200 Subject: Connectionists: job add: staff position as computer scientist/scientific programmer Message-ID: Max Planck Institute for Brain Research Department of Neural Systems and Coding The Max Planck Institute for Brain Research in Frankfurt am Main/Germany is an innovative and growing research facility of the Max Planck Society for the Advancement of Science. The Department of Neural Systems and Coding (Prof. Dr. Dr. Gilles Laurent) is part of the interdisciplinary neuroscience campus in Frankfurt/Riedberg where the new MPI building is located. Research in the Department aims to understand the physiology of perception with an experimental focus centered on neural computation, neuronal coding and integration. To support our international team of biologists, computer scientists and physicists, we invite applications for a full time staff position as Computer scientist/Scientific programmer starting as soon as possible, initially with a fixed-term contract for two years. We seek a self-driven and interactive individual with deep commitment to science. Excellent knowledge of and experience with MATLAB, algorithm development, data handling, processing and analysis are required. We further expect strong programming skills and experience with management, storage and access of large datasets, Linux and, Windows or MacOS platforms. Applicants should be familiar with a scientific environment. Knowledge of computational neuroscience and practice in computer vision, image processing, object recognition, automatic processing and control of behavioral experiments would be of advantage. Candidates are expected to hold a degree in a quantitative field involving computational work, such as computer science, physics, applied math, electrical engineering or comparable re-search experience. Graduate work at Masters or PhD level (science exposure) is a plus. We offer a competitive salary based on TV?D (Bund) (Collective Wage Agreement for Government Service Workers (Federal Government)) depending on qualifications and professional experience as well as various fringe benefits in accordance with public service provisions. You can expect an interesting, responsible and varied job in a young, international and interdisciplinary team. The Max Planck Society is an equal opportunity employer and is striving to increase the proportion of women in areas where they are under-represented. It therefore expressly encourages female applicants. The Max Planck Society is striving to employ more individuals with disabilities. It therefore expressly encourages applicants with disabilities. Please submit your application (in English, single PDF file) by email (HR(at)brain.mpg.de) until June 07, 2015 to Max Planck Institute for Brain Research -Human Resources- Max-von-Laue-Str. 4 60438 Frankfurt am Main HR(at)brain.mpg.de -- Dr. Andreas Kotowicz Max Planck Institute for Brain Research Max-von-Laue-Str. 4 60438 Frankfurt am Main Germany andreas.kotowicz at brain.mpg.de T: +49 69 850033 1700 T: +49 69 850033 2028 www.brain.mpg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From Vittorio.Murino at iit.it Tue Apr 28 13:20:13 2015 From: Vittorio.Murino at iit.it (Vittorio Murino) Date: Tue, 28 Apr 2015 19:20:13 +0200 Subject: Connectionists: [PhD call] 2015 Doctoral Course on Sciences & Technologies For Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning Message-ID: <553FC14D.8090609@iit.it> Apologise for multiple posting --------------------------- Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together with the University of Genova opened the call for the 2015 Doctoral Course on Sciences & Technologies For Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning In this context, Ph.D. positions are available at the Pattern Analysis and Computer Vision (PAVIS) dept. to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes: Theme A: Computer vision for behavioral analysis and activity recognition Theme B: Computer vision for the prediction of human intentions Theme C: Part-based human body modeling for Socially-Aware Computer Vision Theme D: Crowd behavioral analysis and event recognition Theme E: Re-identification using soft biometric cues Theme F: Long term visual learning for 3D scene understanding Theme G: Biomedical imaging and connectomics analysis Theme H: Animal behavior analysis More info on the above research topics can be found at: http://iit.it/images/phd-xxxi/ResearchThemes_IIT-PAVIS.pdf or directly asked to Prof. V. Murino (vittorio.murino at iit.it) or any other tutor indicated for each theme. The PhD program on the listed themes will take place at the PAVIS department of the Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it) The department focuses on activities related to the analysis and understanding of images and patterns in general, thus representing a reference for the other IIT Departments and labs which have to deal with such kind of data. The PAVIS staff has a wide expertise on image processing, computer vision and pattern recognition, machine learning, and related applications. Actually, the research in PAVIS is devoted to study and to build intelligent systems for real applications, especially related, but not limited, to surveillance & security, biomedical imaging, and bioinformatics. One of the primary goals is to design and develop innovative video surveillance systems, characterized by the use of highly-functional smart sensors and advanced video analytics features. To this end, PAVIS performs cutting edge research in computer vision and pattern recognition, but also in biometrics, multimodal data and sensor fusion, sensors networks, and embedded computer vision. Further, another target of the lab is to explore novel strategies in biomedical image analysis and bioinformatics, due to the versatility of the techniques it can manage. You can also browse the PAVIS webpages to see our activities and research at: http://www.iit.it/pavis.html To apply, follow the instructions indicated in the links, in short: a detailed CV, a research proposal under one or more themes chosen among those above indicated, reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. IMPORTANT: You need to specify the theme (one or more) you want to apply and include a research statement (research proposal/project/plan/rationale) on such theme. ONLINE APPLICATION DEADLINE is June 10th, 2015 at 12:00 p.m. (noon ? Italian time/CET) Strict deadline, no extension. APPLICATIONS are possible through ONLINE PROCEDURE ONLY, look at: http://www.studenti.unige.it/postlaurea/dottorati/XXXI/ For more information on administrative issues, please e-mail: pavis at iit.it -- Vittorio Murino ************************************************************* Prof. Vittorio Murino, Ph.D. Dipartimento di Informatica Universita` degli Studi di Verona Ca' Vignal 2, Strada Le Grazie 15, 37134 Verona, Italy Tel: +39 045 802 7996 Fax: +39 045 802 7068 Secretary: +39 045 802 7069 Mobile: +39 329 6508554 E-mail: vittorio.murino at univr.it WWW personal homepage: http://profs.sci.univr.it/~swan VIPS lab homepage: http://vips.sci.univr.it eVS homepage: http://www.embeddedvisionsystems.it/ ************************************************************* -- Vittorio Murino ******************************************* Prof. Vittorio Murino, Ph.D. Director PAVIS - Pattern Analysis & Computer Vision IIT Istituto Italiano di Tecnologia Via Morego 30 16163 Genova, Italy Phone: +39 010 71781 504 Mobile: +39 329 6508554 Fax: +39 010 71781 236 E-mail: vittorio.murino at iit.it Secretary: Sara Curreli email: sara.curreli at iit.it Phone: +39 010 71781 917 http://www.iit.it/pavis ******************************************** From m.a.wiering at rug.nl Wed Apr 29 03:39:29 2015 From: m.a.wiering at rug.nl (Wiering, M.A.) Date: Wed, 29 Apr 2015 09:39:29 +0200 Subject: Connectionists: CFP: 2015 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning Message-ID: *CALL FOR PAPERS* *2015 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning* http://adprl15.net Part of IEEE Symposium Series on Computational Intelligence 2015, Cape Town, South Africa, 7-10 December 2015 Paper submission: 14 June 2015 Adaptive dynamic programming (ADP) and reinforcement learning (RL) are two related paradigms for solving decision making problems where a performance index must be optimized over time. ADP and RL methods are enjoying a growing popularity and success in applications, fueled by their ability to deal with complex problems, including features such as uncertainty, stochastic effects, and nonlinearity. ADP tackles these challenges by developing optimal control methods that adapt to uncertain systems over time. RL takes the perspective of an agent that optimizes its behavior by interacting with an initially unknown environment and learning from the feedback received. The ability to improve performance over time in uncertain or unknown environments has led to successful applications of ADP and RL in areas such as robotics, game playing, automotive engines, networks, logistics, etc. The goal of the IEEE Symposium on ADPRL is to provide an outlet and a forum for interaction between researchers and practitioners in ADP and RL, in which the two fields are brought together and their connections are exploited. We equally welcome contributions from control theory, computer science, operations research, computational intelligence, neuroscience, as well as other novel perspectives on ADPRL. Original papers are sought on methods, analysis, applications, and overviews of ADPRL. We are interested in applications from engineering, artificial intelligence, economics, medicine, and other relevant fields. Specific topics of interest include, but are not limited to: * Convergence and performance analysis * RL and ADP-based control * Function approximation and value function representation * Complexity issues in RL and ADP * Policy gradient and actor-critic methods * Direct policy search * Planning and receding-horizon methods * Monte-Carlo tree search and other Monte-Carlo methods * Adaptive feature discovery * Parsimonious function representation * Statistical learning and PAC bounds for RL * Learning rules and architectures * Bandit techniques for exploration * Bayesian RL and exploration * Finite-sample analysis * Partially observable Markov decision processes * Neuroscience and biologically inspired control * ADP and RL for multiplayer games and multiagent systems * Distributed intelligent systems * Multi-level multi-objective optimization for ADPRL * Transfer learning * Applications of ADP and RL **Paper Submission Procedure** Paper submissions should be prepared in the IEEE format and should have at most 8 pages. Accepted papers will be published in the SSCI proceedings and on IEEEXplore, http://ieeexplore.ieee.org/, conditioned on registering and presenting the paper at the conference. Submissions must contain original, high quality, not submitted or elsewhere published work. Authors must submit their paper through the IEEE SSCI 2015 webpage http://ieee-ssci.org.za/ *********************************************************** The call for papers as well as more detailed information can be retrieved from ADPRL 2015 webpage http://adprl15.net and from the main SSCI 2015 webpage http://ieee-ssci.org.za/ Please make sure you select: "Adaptive Dynamic Programming and Reinforcement Learning" (ADPRL 2015) during the submission process *********************************************************** **Organisers** - Madalina Drugan (Vrije Universiteit Brussel, Belgium) mdrugan at vub.ac.be - Marco Wiering (University of Groningen, The Netherlands) m.a.wiering at rug.nl - Lucian Busoniu (Technical University of Cluj-Napoca, Romania) lucian at busoniu.net **Technical Program Committee** - Abhjit Gosavi, Missouri University of Science and Technology, USA - Ann Now?, Vrije Universiteit Brussel, Belgium - Boris Defourny, Lehigh University, USA - Danil Prokhorov, Toyota Technical Center, USA - Dongbin Zhao, Chinese Academy of Sciences, China - Draguna Vrabie, United Technologies Research Center, USA - Eduardo Alonso, City University London, UK - El-Sayed El Alfy, King Fahd University of Petroleum and Minerals, Saoudi Arabaia - Girish Chowdhary, Oklahoma State University, USA - Haibo He, University of Rhode Island, USA - Hao Xu, Missouri University of Science and Technology, USA - Huaguang Zhang, Northeastern University, China - Jagannathan Sarangapani, Missouri University of Science and Technology, USA - Janey Yu, Massachusetts Institute of Technology, USA - Jennie Si, Arizona State University, USA - Kang Li, Queen's University Belfast, UK - Karl Tuyls, University of Liverpool, UK - Kyriakos Vamvoudakis, University of California, Santa Barbara, USA - Martijn van Otterlo, Radboud University Nijmegen, Netherlands - Martin Riedmiller, University of Freiburg, Germany - Matthieu Geist, Supelec Metz, France - Philippe Preux, INRIA Lille Nord Europe, France - Raphael Fonteneau, University of Liege, Belgium - Remi Munos, INRIA Lille Nord Europe, France - Shubhendu Bhasin, Indian Institute of Technology Delhi, India - Somayeh Moazeni, Stevens Institute of Technology, USA - Tobias Jung, University of Liege, Belgium - Warren Powell, Princeton University, USA - Xin Xu, National University of Defense Technology, China - Yanhong Luo, Northeastern University, China - Zeng-Guang Hou, Chinese Academy of Sciences, China -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.nieto at acfr.usyd.edu.au Wed Apr 29 01:24:33 2015 From: j.nieto at acfr.usyd.edu.au (Juan I Nieto) Date: Wed, 29 Apr 2015 15:24:33 +1000 Subject: Connectionists: [jobs] Postdoctoral research associate in AI for robotics, at the Australian Centre for Field Robotics Message-ID: <67A45A97-88AD-4A81-84E3-E5A9CD9CCA0E@acfr.usyd.edu.au> Dear Colleagues, The Australian Centre for Field Robotics (ACFR) is looking for a postdoctoral research associate who has demonstrated research excellence in machine learning and wants to be part of a growing interest in novel machine learning techniques for robotic systems. Link ? POSTDOCTORAL RESEARCH ASSOCIATE 881/0415 The ACFR is based in the School of Aerospace, Mechanical and Mechatronic Engineering (AMME) at The University of Sydney, and is dedicated to the research, development, application and dissemination of autonomous and intelligent robots and systems for operation in outdoor environments. The ACFR is a large multidisciplinary team of researchers and engineers with backgrounds in computer science, aeronautical and mechatronic engineering, physics and mathematics. It is the largest field robotics and automation research group in Australia and is also one of the largest of its kind in the world. It has been instrumental in developing breakthrough technologies and in conducting world-leading research and development of field robotics principles and systems. To be successful in the role you will have: A PhD, or in the process of being awarded one, in computer science, computer engineering or other engineering related degrees Expert knowledge in machine learning and in particular those related to deep learning techniques Demonstrable experience in developing algorithms for segmentation and classification in computer vision Demonstrable experience in developing working algorithms for learning using large data sets Experience in software development Publications in top machine learning conferences and journals such as NIPS, ICML, UAI, JMLR. The position is full-time fixed term for one year. Further offers are possible subject to funding and need and are subject to the completion of a satisfactory probation period for new appointees. To be considered for this position it is essential that you address the online selection criteria. For guidance on how to apply visit: How to apply for an advertised position. Please note that resumes need to include contact details of at least three referees and a list of publications. Remuneration package: $98,053 - $105,254 p.a. (which includes a base salary of $82,856 - $88,941 p.a., leave loading and up to 17% employer?s contribution to superannuation). Specific enquiries about the position can be directed to Professor Salah Sukkarieh, Professor of Robotics and Intelligent Systems on 02 9351 8154. General enquiries can be directed to Ugo De Gori on 02 8627 1234. CLOSING DATE: 26 May 2015 (11pm Sydney time) -------------- next part -------------- An HTML attachment was scrubbed... URL: From fsoto.c at gmail.com Wed Apr 29 14:29:39 2015 From: fsoto.c at gmail.com (=?UTF-8?B?RmFiacOhbiBTb3Rv?=) Date: Wed, 29 Apr 2015 11:29:39 -0700 Subject: Connectionists: Research assistant job Message-ID: A research assistant position is available in the Computational Cognitive Neuroscience Laboratory in the Department of Psychology at Florida International University. Research in the lab focuses on understanding the interplay between learning and visual processes in object categorization, using a combination of behavioral, computational and brain imaging techniques. Responsibilities will include programming and conducting behavioral and fMRI experiments, scheduling and screening human volunteers for participation in experiments, analyzing behavioral and neuroimaging data, working with computational models of vision and learning, and performing lab management tasks. A bachelor?s (or higher) degree in neuroscience, psychology, statistics, computer science, engineering, mathematics, physics, or other related field is required. Strong quantitative skills, computer programming skills (especially python; experience with R and/or C++ is a plus), and organizational skills are required. The preferred start date is September 1st, 2015. The position requires a commitment of two years. This position is ideal for someone interested in obtaining experience in cognitive neuroscience research, and improving quantitative and computational skills, with the goal of applying to graduate school. For informal inquiries, please send a CV, names of references, and a brief statement of background skills and interests to fabian.soto at fiu.edu Fabian A. Soto Assistant Professor Department of Psychology Florida International University Miami, FL -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.wong-lin at ulster.ac.uk Thu Apr 30 12:33:21 2015 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Thu, 30 Apr 2015 16:33:21 +0000 Subject: Connectionists: Postdoctoral Research Associate in Computational Modelling of Decision Making at the University of Ulster Message-ID: Applications are invited for the following post: Postdoctoral Research Associate in Computational Modelling of Decision Making at the University of Ulster There is an important practical need and challenge for autonomous systems to perform multisensory decision-making and report decision uncertainty. This project aims to develop a neural computational model of decision-making capable of performing such tasks. The model will be tested under various complex simulated environments and implemented in reconfigurable and programmable hardware for real-time applications, hence bridging from basic neuroscience research to engineering applications. This project is available in the University of Ulster's Computer Science Research Institute (in collaboration with University of Wolverhampton) and is tenable in the Faculty of Computing and Engineering at the Magee Campus. The successful applicant will utilize knowledge in computational neuroscience, embedded systems and machine learning. The postholder will join an externally funded multidisciplinary research team, and will benefit from the expertise of computational neuroscience, cognitive robotics and neuroengineering at Ulster and Wolverhampton. All applicants should hold or about to obtain a Ph.D. degree in Computing, Engineering, Computational Neuroscience, Computational Sciences, Neuroscience, Mathematics, Physics, Cognitive Science, or a related discipline. Applicants must be highly motivated and willing to pursue research and develop skills and knowledge across disciplines. The application process for the post is opened with a closing date for applications on the 11th May 2015, and interviews will be held shortly after. The successful applicant is expected to be able to begin work in June 2015. Further details can be found at: http://www.jobs.ac.uk/job/ALA611/research-associate-in-computational-modelling/ We prefer to issue and receive applications via our on-line recruitment website at www.ulster.ac.uk/jobs If you wish to discuss further regarding this post or the research project, please contact: Dr. KongFatt Wong-Lin, tel: +44 028 7167 5320, e-mail: k.wong-lin at ulster.ac.uk ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahu at cs.stir.ac.uk Wed Apr 29 15:21:14 2015 From: ahu at cs.stir.ac.uk (Dr Amir Hussain) Date: Wed, 29 Apr 2015 22:21:14 +0300 Subject: Connectionists: Table of Contents Alert: Cognitive Computation journal (Springer): Vol.7, No.2 / April 2015 Issue Message-ID: Dear Colleagues: (with advance apologies for any cross-postings) We are delighted to announce the publication of Volume 7, No.2 / April 2015 Issue, of Springer's Cognitive Computation journal - www.springer.com/12559 ================================================================ Important News: Increased Impact Factor & Six bi-monthly Journal Issues from 2015! ================================================================ As you will know, Cognitive Computation was selected for coverage in Thomson Reuter?s products and services in 2011. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ? Science Citation Index Expanded (also known as SciSearch?) ? Journal Citation Reports/Science Edition ? Current Contents?/Engineering Computing and Technology ? Neuroscience Citation Index? Cognitive Computation received its first Impact Factor (IF) of 1.0 in 2011. The IF for 2013/2014 increased to 1.1 (with a first 5 year IF of 1.387) (Thomson Reuters Journal Citation Reports? 2013) Many congratulations to the editors, reviewers and authors! Want to be part of the growing success? Visit the journal homepage ( http://springer.com/12559) for instructions on submitting your research. ================================= Quarterly to Bi-monthly Issues, from 2015!! ================================= Due to continuously growing number of high quality submissions, the number of Issues has increased from four (quarterly Issues) to six (bi-monthly Issues) each year, starting Feb 2015! ======================================== The April 2015 Issue comprises a Special Issue on "Sentic Computing", Guest Edited by: E. Cambria and A. Hussain. The Guest Editorial titled: "Sentic Computing" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9325-0 The full listing of published articles (Table of Contents) for this April 2015 Issue can be viewed here (and also at the end of this message, followed by an overview of the previous Issues/Archive listings): http://link.springer.com/journal/12559/7/2/ You may also be interested in the last Special Issue of 2014 (Vol. 6, No.4 / Dec 2014) on "Modeling emotion, behaviour and context in socially believable robots and ICT interfaces", Guest Edited by: Anna Esposito, Leopoldina Fortunati, and Giuseppe Lugano. The Guest Editorial is available (for free download) here: http://link.springer.com/article/10.1007/s12559-014-9309-5 and the full listing of 24 articles can be found here: http://link.springer.com/journal/12559/6/4/page/1 This exciting Special Issue was the outcome of a strategic trans-disciplinary Workshop organized by EU COST (http://www.cost.eu/), on ??The future concept and reality of social robotics: challenges, perception and applications. Role of social robotics in current and future society,?? held in Brussels (Belgium). A list of the journal's most downloaded articles (which can always be read for FREE) can be found here: http://www.springer.com/biomed/neuroscience/journal/12559?hideChart=1#realtime Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted All previous Volumes and Issues of the journal can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 ============================================ Reminder: Cognitive Computation "LinkedIn" Group: ============================================ To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has nearly 800 members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048 For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage: http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Marleen Moore: Marleen.Moore at springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately six-eight weeks of receipt. We also welcome relevant high quality proposals for Special Issues - four are already planned for 2015-16 (for CFPs, see: http://www.springer.com/biomed/neuroscience/journal/12559?detailsPage=press ) With our very best wishes to all aspiring readers and authors of Cognitive Computation, Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu at cs.stir.ac.uk (University of Stirling, Scotland, UK) Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) (Imperial College, London, UK) http://www.springer.com/12559 Also consider your work for related Book Series: SpringerBriefs on Cognitive Computation: http://www.springer.com/series/10374 NEW: Springer Series on Socio-Affective Computing: http://www.springer.com/series/13199 ------------------------------------------------------------------------------------------------- ???????????Table of Contents Alert -- Cognitive Computation Vol 7 No 2, April 2015 -------------------------------------------------------------------------------------------------- Special Issue on Sentic Computing Issue Editors: E. Cambria, A. Hussain -------------------------------------------------------------------------------------------------- Sentic Computing Erik Cambria, Amir Hussain http://link.springer.com/article/10.1007/s12559-015-9325-0 Propagating and Aggregating Fuzzy Polarities for Concept-Level Sentiment Analysis Mauro Dragoni, Andrea G. B. Tettamanzi, C?lia da Costa Pereira http://link.springer.com/article/10.1007/s12559-014-9308-6 Resonance Elicits Diffusion: Modeling Subjectivity for Retweeting Behavior Analysis Songxian Xie, Jintao Tang, Ting Wang http://link.springer.com/article/10.1007/s12559-014-9293-9 Sentilo: Frame-Based Sentiment Analysis Diego Reforgiato Recupero , Valentina Presutti , Sergio Consoli , Aldo Gangemi , Andrea Giovanni Nuzzolese http://link.springer.com/article/10.1007/s12559-014-9302-z Word Embedding Composition for Data Imbalances in Sentiment and Emotion Classification Ruifeng Xu , Tao Chen , Yunqing Xia , Qin Lu , Bin Liu , Xuan Wang http://link.springer.com/article/10.1007/s12559-015-9319-y AspNet: Aspect Extraction by Bootstrapping Generalization and Propagation Using an Aspect Network Yunqing Xia , Erik Cambria , Amir Hussain http://link.springer.com/article/10.1007/s12559-014-9305-9 Twitter Sentiment Analysis for Large-Scale Data: An Unsupervised Approach Rafeeque Pandarachalil , Selvaraju Sendhilkumar , G. S. Mahalakshmi http://link.springer.com/article/10.1007/s12559-014-9310-z --------------------------------------------------------- Previous Issues/Archive: Overview: --------------------------------------------------------- All previous Volumes and Issues can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Rodney Douglas, Giacomo Indiveri, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy), can be viewed here: http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/4/ The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/1/ The full listing of Vol. 4, No.2 / June 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/2/ The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on: Computational Creativity, Intelligence and Autonomy, Edited by: J. Mark Bishop and Yasemin J. Erden) can be viewed here: http://www.springerlink.com/content/1866-9956/4/3/ The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled: "Cognitive & Emotional Information Processing", Edited by: Stefano Squartini, Bj?rn Schuller and Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/4/4/page/1 The full listing of Vol. 5, No.1 / March 2013 Special Issue titled: Computational Intelligence and Applications Guest Editors: Zhigang Zeng & Haibo He, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/1/page/1 The full listing of Vol. 5, No.2 / June 2013 Special Issue titled: Advances on Brain Inspired Computing, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/2/page/1 The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis Cutsuridis & Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/3/page/1 The full listing of Vol. 5, No.4 / Dec 2013, which includes regular papers (including an invited paper by Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled: Moral Judgment, Human Motivation, and Neural Networks), and a Special Issue titled: Advanced Cognitive Systems Based on Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jes?s B. Alonso, can be viewed here: http://link.springer.com/journal/12559/5/4/page/1 The full listing of Vol. 6, No.1 / Mar 2014, can be viewed here: http://link.springer.com/journal/12559/6/1/page/1 The full listing of Vol. 6, No.2 / June 2014, can be viewed here: http://link.springer.com/journal/12559/6/2/page/1 The full listing of Vol. 6, No.3 / Sep 2014, can be viewed here: http://link.springer.com/journal/12559/6/3/page/1 The full listing of Vol. 6, No.4 / Dec 2014 (Special Issue on Modeling emotion, behaviour and context in socially believable robots and ICT interfaces, Guest Editors: Anna Esposito, Leopoldina Fortunati, and Giuseppe Lugano) can be viewed here: http://link.springer.com/journal/12559/6/4/page/1 The full listing of Vol. 7, No.1 / Feb 2015 can be viewed here: http://link.springer.com/journal/12559/7/1/ (with the first six papers part of a Special Issue on "Neural Signal Processing", Guest Edited by: Jordi Sole?-Casals, Francois-Benoit Vialatte, Justin Dauwels. The Guest Editorial titled: "Alternative Techniques of Neural Signal Processing in Neuroengineering" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9317-0) -- The University of Stirling has been ranked in the top 12 of UK universities for graduate employment*. 94% of our 2012 graduates were in work and/or further study within six months of graduation. *The Telegraph The University of Stirling is a charity registered in Scotland, number SC 011159. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Thu Apr 30 12:16:42 2015 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Thu, 30 Apr 2015 18:16:42 +0200 Subject: Connectionists: Clusters, Games, and Axioms -- The Lorentz Center, Leiden (NL) -- 22-26 June 2015 Message-ID: A workshop "Clusters, Games and Axioms" will take place from 22 June 2015 through 26 June 2015 at the Lorentz Center in Leiden, The Netherlands. Please find below the program. The workshop has no registration fee and is open to PhD students, PostDocs and researchers interested in the topic. Detailed information about the workshop, including registration form, can be found at http://www.lorentzcenter.nl/lc/web/2015/702/info.php3?wsid=702&venue=Oort Registration is necessary as the number of participants is limited to 45. The deadline for registration is 31 May, 2015. The organizers, Krzysztof Apt J?rome Lang Elena Marchiori Marcello Pelillo --------------------------------------------------------------------------------------------------------------------- Program of the Lorentz workshop ``Clusters, Games and Axioms'' --------------------------------------------------------------------------------------------------------------------- Monday 22 June 2015 --------------------------------------------------------------------------------------------------------------------- 09:00 - 10:00 Arrival, office assignment, coffee and tea 10:00 - 10:15 Welcome by the Lorentz Center staff 10:15 - 10:30 Welcome by the workshop organisers 10:30 - 11:30 Marina Meila. Clustering - classic methods and modern views. 11.30 - 12.30 Martin Hoefer. Computational Game Theory and Clustering. 12:30 - 14:00 Lunch and informal discussions 14.00 - 15.00 Ulle Endriss. The Axiomatic Method in Social Choice Theory: Preference Aggregation, Judgment Aggregation, Graph Aggregation. 15:00 - 15:30 Coffee and tea break 15:30 - 17.00 Poster presentations by participants 17:00 - Wine and Cheese welcoming party with poster session --------------------------------------------------------------------------------------------------------------------- Tuesday 23 June 2015 --------------------------------------------------------------------------------------------------------------------- 10:00 ? 11:00 Shai Ben-David. Axiomatic vs statistical approaches to theoretical foundations of clustering. 11:00 ? 12:00 Samuel Rota Bul?. A Game-Theoretic Framework for Similarity-Based Data Clustering. 12:00 - 14:00 Lunch and informal discussions 14:00 - 15:00 Edith Elkind. Justified Representation. 15:00 ? 15:30 Coffee and tea break 15:30 ? 17:30 Discussion groups: down to details --------------------------------------------------------------------------------------------------------------------- Wednesday 24 June 2015 --------------------------------------------------------------------------------------------------------------------- 10:00 ? 11:00 Joachim Buhmann. Information theory of algorithms. 11:00 ? 12:00 Twan van Laarhoven. Local quality functions for graph clustering. 12:00 - 14:00 Lunch and informal discussions 14:00 - 15:00 Michele Sebag. The human in the loop and the co-evolution of processes: tackling under-specified goals. 15:00 ? 15:30 Coffee and tea break 15:30 ? 17:30 Discussion groups: down to details 18:30 Workshop dinner --------------------------------------------------------------------------------------------------------------------- Thursday 25 June 2015 --------------------------------------------------------------------------------------------------------------------- 10:00 ? 11:00 Vincent Conitzer Crowdsourcing Societal Tradeoffs. 11:00 ? 12:00 Mona Rahn. Coordination Games on Graphs. 12:00 - 14:00 Lunch and informal discussions 14:00 - 15:00 Discussion groups: preparing presentations 15:00 - 15:30 Coffee and tea break 15:30 ? 17:30 Discussion groups: preparing presentations --------------------------------------------------------------------------------------------------------------------- Friday 26 June 2015 --------------------------------------------------------------------------------------------------------------------- 10:00 - 11:00 Group presentations 11:00 ? 11:30 Coffee and tea break 11:30 ? 12.30 Group presentations 12:30 - 12:45 Closing and farewell 12.45 - 14:15 Lunch -- Marcello Pelillo, FIEEE, FIAPR Professor of Computer Science Ca' Foscari University Venice Director, European Centre for Living Technology (ECLT) Ca' Minich S. Marco 2940, 30124 Venezia, Italy Tel: (39) 041 2347588 - Fax: (39) 041 2347589 http://www.ecltech.org Head, Computer Vision and Pattern Recognition Lab DAIS - Campus Scientifico Via Torino 155, 30172 Venezia Mestre, Italy Tel: (39) 041 2348440 - Fax: (39) 041 2348419 http://www.dais.unive.it E-mail: marcello.pelillo at gmail.com URL: http://www.dsi.unive.it/~pelillo -------------- next part -------------- An HTML attachment was scrubbed... URL: From PAVIS at iit.it Wed Apr 29 07:59:37 2015 From: PAVIS at iit.it (IIT PAVIS) Date: Wed, 29 Apr 2015 13:59:37 +0200 Subject: Connectionists: [PhD call] 2015 PhD Course on Sciences & Technologies For Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning Message-ID: <5540C7A9.90609@iit.it> Apologise for multiple posting --------------------------- Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together with the University of Genova opened the call for the 2015 Doctoral Course on Sciences & Technologies For Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning In this context, Ph.D. positions are available at the Pattern Analysis and Computer Vision (PAVIS) dept. to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes: Theme A: Computer vision for behavioral analysis and activity recognition Theme B: Computer vision for the prediction of human intentions Theme C: Part-based human body modeling for Socially-Aware Computer Vision Theme D: Crowd behavioral analysis and event recognition Theme E: Re-identification using soft biometric cues Theme F: Long term visual learning for 3D scene understanding Theme G: Biomedical imaging and connectomics analysis Theme H: Animal behavior analysis More info on the above research topics can be found at: http://iit.it/images/phd-xxxi/ResearchThemes_IIT-PAVIS.pdf or directly asked to Prof. V. Murino (vittorio.murino at iit.it) or any other tutor indicated for each theme. The PhD program on the listed themes will take place at the PAVIS department of the Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it) The department focuses on activities related to the analysis and understanding of images and patterns in general, thus representing a reference for the other IIT Departments and labs which have to deal with such kind of data. The PAVIS staff has a wide expertise on image processing, computer vision and pattern recognition, machine learning, and related applications (mainly surveillance/security and biomedical). For more information, you can also browse the PAVIS webpages to see our activities and research at: http://www.iit.it/pavis.html To apply, follow the instructions indicated in the links, in short: a detailed CV, a research proposal under one or more themes chosen among those above indicated, reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. IMPORTANT: You need to specify the theme (one or more) you want to apply and include a research statement (research proposal/project/plan/rationale) on such theme. ONLINE APPLICATION DEADLINE is June 10th, 2015 at 12:00 p.m. (noon ? Italian time/CET) Strict deadline, no extension. APPLICATIONS are possible through ONLINE PROCEDURE ONLY, look at: http://www.studenti.unige.it/postlaurea/dottorati/XXXI/ For more information on administrative issues, please e-mail: pavis at iit.it -- Vittorio Murino ******************************************* Prof. Vittorio Murino, Ph.D. Director PAVIS - Pattern Analysis & Computer Vision IIT Istituto Italiano di Tecnologia Via Morego 30 16163 Genova, Italy Phone: +39 010 71781 504 Mobile: +39 329 6508554 Fax: +39 010 71781 236 E-mail: vittorio.murino at iit.it Secretary: Sara Curreli email: sara.curreli at iit.it Phone: +39 010 71781 917 http://www.iit.it/pavis ******************************************** From a.storkey at ed.ac.uk Wed Apr 29 17:05:04 2015 From: a.storkey at ed.ac.uk (Amos Storkey) Date: Wed, 29 Apr 2015 22:05:04 +0100 Subject: Connectionists: Deep Learning Workshop, Edinburgh 2015 Message-ID: <55414780.5000009@ed.ac.uk> Second Edinburgh Deep Learning Workshop You are invited to attend and/or submit to the Second Edinburgh Deep Learning Workshop on 9 June 2015 in Edinburgh, Scotland. This workshop is for those working in Machine Learning, Statistics, or relating deep learning models to Neuroscience. It is also appropriate for the wider community -- machine learners working in related areas or those who are using or considering using Deep Learning Methods. Submissions will form the basis for informal talks and poster discussions. We are happy to receive submissions that are being considered or accepted for publication elsewhere. In order to ensure the workshop is discussing latest research ideas and applications, we do not have a long lead time for submission - papers/descriptions of research should be submitted before 8 May. Many delegates will be attending without presenting. There will be time in the programme for discussion of issues and interests. Full details are available at http://workshops.inf.ed.ac.uk/deep/deep2015/ See the bottom of that page for registration details. Due to the generosity of the workshop sponsors, the workshop registration is free. regards Amos Storkey Krzysztof Geras -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.