- Comp-neuro - lists.cnsorg.org

Opening for a computer-vision scientist with deep-learning expertise
by Reza Khorshidi April 14, 2015

April 14, 2015

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

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Two openings for signal-processing and NLP scientists with deep-learning expertise
by Reza Khorshidi April 14, 2015

April 14, 2015

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

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PhD position, University of Genoa, Italy – "Multidimensional peripersonal space sensing"
by Silvio P. Sabatini April 14, 2015

April 14, 2015

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

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INNS-BigData 2015 San Francisco: Student Travel Awards + Deep Learning Workshop Special Registration + Paper deadline extension to 19 April, 2015.
by Asim Roy April 13, 2015

April 13, 2015

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

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Call for Papers: Special Issue on Neuroimaging in clinical practice - towards prognosis and prediction of treatment response
by Rondina, Jane April 13, 2015

April 13, 2015

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

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[WI-IAT 2015] IAT'15 Paper Submission Deadline extended to 15th May
by Teng Teck Hou April 13, 2015

April 13, 2015

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

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Theory-Experiment postdoctoral position in Paris with Shihab Shamma and Srdjan Ostojic
by Srdjan Ostojic April 12, 2015

April 12, 2015

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

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PhD position in closed-loop software technologies for neuroscience research
by Pablo Varona April 10, 2015

April 10, 2015

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

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ECMLPKDD 2015: Summer School on Data Sciences for Big Data - Resource Aware Data Mining
by ECMLPKDD 2015 April 10, 2015

April 10, 2015

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

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Fwd: Fully-funded PhD studentship
by Shufan Yang April 9, 2015

April 9, 2015

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

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