- Comp-neuro - lists.cnsorg.org

PhD Summer School on Deep Learning
by Morten Mørup April 24, 2015

April 24, 2015

******************************************************************************** PhD Summer School on Deep Learning (www.compute.dtu.dk/courses/02901<http://www.compute.dtu.dk/courses/02901>) August 24 - 28, 2015 (both days included) DTU Compute, Technical University of Denmark, ******************************************************************************** We invite you to participate in the PhD Summer School on Deep Learning that will take place at the Technical University of Denmark, August 24 - 28, 2015. The course will consist of lectures given by invited experts as well as members of the research groups at DTU Compute. Confirmed Speakers: Charles Blundell, Google DeepMind Tapani Raiko, Aalto University Anders Boesen Lindbo Larsen, DTU Compute Ole Winther, DTU Compute Lars Kai Hansen, DTU Compute Further information regarding the summer school can be found on our webpage: http://www.compute.dtu.dk/courses/02901 To register please send an email to Wanja Andersen (waan(a)dtu.dk<mailto:waan@dtu.dk>) with your CV (maximum 2 pages). The CV has to be received no later than 14th of June (notification regarding acceptance will be given the 19th of June). We hope to see you this summer at the Technical University of Denmark! The organizers, Morten Mørup, Mikkel N. Schmidt, Ole Winther, and Lars Kai Hansen

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Postdoc position in computational/statistical neuroscience available
by Memming Park April 24, 2015

April 24, 2015

A full-time postdoctoral position is available in the Computational and Theoretical Neural Information Processing Lab <http://catniplab.github.io/> at Stony Brook University. We design statistical models and machine learning methods specialized for neural data. We aim to understand how information and computations are represented and implemented in the brain, both at a single-neuron and systems level. We collaborate with experimental labs on important problems in neuroscience, such as sensory coding and perceptual decision-making. Current projects include inferring the latent dynamics of a neural population in awake behaving monkeys using recorded spikes and local field potential, and building scalable statistical models for high-dimensional neural observations. Our lab provides a friendly and highly collaborative environment. Requirements: Candidate must have a PhD or equivalent in neuroscience, statistics, engineering, mathematics or a related field. Ideal candidate would be familiar with machine learning and/or neural modeling. Prior experience in analyzing neural data, high-dimensional data, and/or non-Gaussian time series is a plus but not required. Good numerical programming skills and experience with professional software development are expected. Apply via https://stonybrooku.taleo.net/careersection/2/jobdetail.ftl?job=1500497 For further information please contact I. Memming Park ( memming.park(a)stonybrook.edu) Sincerely, Memming

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EvAAL 2015 Call for Competition
by Francesco Potortì April 23, 2015

April 23, 2015

EvAAL-ETRI on-site and off-site Indoor Localization Competition <http://evaal.aaloa.org/> In conjunction with IPIN 2015 Banff, Alberta, Canada 13-16 October 2015 ================================================================ We are pleased to announce the EvAAL Indoor Localization Competition, which is to be held during the IPIN 2015 Conference. The competition aims at bringing together academic and industrial research communities to work together on challenging open problems in indoor localization based on mobile devices and sensors, with the purpose of evaluating different approaches and envisioning new research opportunities. Recent years have witnessed increasing interest in location-based services and applications. In most cases, however, location information is limited by the accessibility to Global Navigation Satellite Systems (GNSS), which is largely unavailable in indoor environments. While the first commercial indoor positioning systems are starting to emerge, no standards exist yet and the field is quickly evolving. The competition will consist of two on-site and one off-site tracks, results will be presented during a dedicated session during the IPIN conference. Prizes will be awarded to the winners. Data collected from competitors' systems during the on-site tracks at the conference location will be published for the purpose of research and comparison. Track 1: Smartphone based positioning Track 2: Foot-mounted pedestrian dead reckoning positioning Track 3: Wi-Fi fingerprinting in large environments (off-site) For Track 1 "Smartphone based positioning", the competitors can use any sensor available on the smartphones used. For Track 2 "Foot-mounted positioning", the candidates can use MEMS sensors (inertial, compass and pressure sensors); electronic devices such as tablet, notebook, etc. can be used for control and monitoring. For Track 3 "Wi-Fi fingerprinting", the competitors will have access to a large Wi-Fi fingerprint database, to which they will apply their algorithms offline. The competition will take place during the IPIN conference and the on-ste tracks will be sponsored by ETRI, the Electronics and Telecommunications Research Institute based in Korea. For the on-site tracks, competitors will be given the time to pre-test and setup their solutions prior to the test day, during which the systems will be measured in real-time. For the off-site track, the ground truth will be disclosed during the conference. Evaluation criteria for the competition, restrictions on the accepted technologies, technical rules to follow and a description of the benchmarks are detailed in the technical annex of this call (to be provided by mid-March). Possible refinements of the annex, also based on participating competitors' comments, will be timely distributed to all participants. The annex will include information such as the site map, the distribution of wireless communication devices and more. A "competitor" can be any individual or group of individuals working as a single team, associated to a single or a number of organizations. Competitors apply for admission to the competition by providing a short (2 to 4 pages) technical description of their system, including details on algorithms and protocols. The Program Committee will accept or refuse the application in a short time, based on technical feasibility and logistic constraints. In case of acceptance, competitors are invited to submit a paper to the conference. The paper will be subjected to peer review: accepted papers will be published in the proceedings of IPIN 2015. Competitors may choose to not submit a paper, but in any case they are required to make an oral presentation of their system during a dedicated session at the IPIN conference. Results from the competition and the raw data from the competitors' systems will be published after the competition. Application by guests, who will have the opportunity to test their systems in the same way as competitors, but whose results will not be disclosed, will be granted on an individual base. One full registration to the conference is required from each competitor or guest system; registration covers the presentation of a paper describing the system. The winners of the competition will be announced during the conference. ETRI will award a 2000$ prize to the best placed teams of tracks 1 and 2, together with a paid invitation to hold a talk at ETRI (KR). The winner of track 3 will receive a prize worth 500$. We encourage submissions from both academia and industry (there are no restrictions on the composition of competing teams) with the aim of seeking innovative solutions based on mobile devices and sensors for indoor applications. Please check the conference web site for more information and regular updates on the progress of the competition. Important Dates --------------------------------------------------------------- Admission request: 10 June 2015 Notification of admission and invitation to submit a paper: shortly after request --------------------------------------------------------------- Related links --------------------------------------------------------------- Submission site: <https://edas.info/newPaper.php?c=20021> Technical annex: soon to be published on <http://evaal.aaloa.org> --------------------------------------------------------------- Organizing Committee -------------------- Competition chair: Francesco Potortì <Potorti(a)isti.cnr.it> Local chair: Kyle O'keefe (CA) On-site software chair: Michele Girolami (CNR-ISTI, IT) Off-site track chair: Joaquín Torres Sospedra (Universitat Castellón, ES) TPC chair (on-site): Paolo Barsocchi (CNR-ISTI, IT) TPC chair (off-site): Raúl Montoliu Colás (Universitat Castellón, ES) -- Francesco Potortì (ricercatore) Voice: +39.050.621.3058 ISTI - Area della ricerca CNR Mobile: +39.348.8283.107 via G. Moruzzi 1, I-56124 Pisa Skype: wnlabisti (entrance 20, 1st floor, room C71) Web: http://fly.isti.cnr.it

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Summer Internships with Sports Neurotech Company
by Jason Sherwin April 22, 2015

April 22, 2015

deCervo (www.deCervo.com) is considering applicants for a selective summer internship program at its base in New York City. Join us in bringing neuroscience out of the lab and onto the field. Current projects include ongoing partnerships with Major League Baseball teams and NCAA Division I Football. See our recently launched Kickstarter page for more info on deCervo projects: https://www.kickstarter.com/projects/1662440606/decervoprofile2015-baseball… Contact us through our website, www.deCervo.com, for more details! -- Jason Sherwin, Ph.D. Chief Executive Officer deCervo Columbia Startup Lab 69 Charlton Street NY, NY 10014 www.deCervo.com twitter.com/deCervoProfile facebook.com/deCervoProfile angel.co/decervo ------------------------------------------------------------------ sponsored link: yahoo recommended - http://msn.medsplacerx.com ------------------------------------------------------------------

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NEURON course discounts extended
by Ted Carnevale April 22, 2015

April 22, 2015

The early registration discounts for this year's NEURON summer courses were supposed to end on Monday, April 20, but we have been able to arrange to continue them until Friday, May 15. NEURON Fundamentals June 20-23 addresses all aspects of using NEURON to model individual neurons, and also introduces parallel simulation and the fundamentals of modeling networks. Includes a healthy serving of Python. Parallel Simulation with NEURON June 24-26 is for users who are already familiar with NEURON and need to create models that will run on parallel hardware. Pays special attention to powerful strategies and idioms for implementing and managing models, measuring and improving performance, and debugging. Each day includes a block of time for working on your own code with expert help close at hand. For more information, including course fees and the registration form, see http://www.neuron.yale.edu/neuron/static/courses/nscsd2015/nscsd2015.html --Ted

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POSTDOCTORAL RESEARCHER IN SYSTEMS NEUROSCIENCE
by Santamaria, Cookie April 22, 2015

April 22, 2015

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: <postdoc.muri(a)gmail.com<mailto:postdoc.muri@gmail.com>>. A Ph.D. or equivalent doctoral degree is required prior to the appointment. UCSD is an EO/AA employer.

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RLDM2015: Early registration deadline (April 28th) fast approaching
by Yael Niv April 22, 2015

April 22, 2015

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).

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CFP for BigData2015: International Conference in Mauritius
by Grace Allas April 22, 2015

April 22, 2015

*** CALL FOR PAPERS *** http://sdiwc.net/conferences/bigdata2015/ The Second International Conference on Data Mining, Internet Computing, and Big Data (BigData2015) University of Mauritius, Le Reduit, Moka, Mauritius June 29 – July 01, 2015 All registered papers will be included in SDIWC Digital Library. ========================================================== The conference aims to enable researchers build connections between different digital applications. The event will be held over three days, with presentations delivered by researchers from the international community, including presentations from keynote speakers and state-of-the-art lectures. RESEARCH TOPICS ARE NOT LIMITED TO: * Data Mining Tasks & Algorithms Explorative and visual data mining Mining text and semi-structured data Multimedia mining (audio/video) Segmentation/Clustering/Association Web mining Artificial neural networks Link and sequence analysis Evolutionary computation/meta heuristics * Data Mining Integration & Process Distributed and grid based data mining Metadata and ontologies Mining large scale data Attribute discretization and encoding Feature selection and transformation Model interpretation Data cleaning and preparation * Data Mining Applications Bioinformatics Business/Corporate/Industrial Data Mining Credit Scoring Data Mining in Logistics Database Marketing Direct Marketing Engineering Mining Medicine Data Mining Military Data Mining Security Data Mining Social Science Mining Time series analysis and visualization Anomaly detection Association rule learning Classification Cloud based infrastructure (applications, storage and resources) Cluster analysis Crowd-sourcing Data fusion and integration Data-mining grids Distributed databases Distributed file systems Ensemble learning Genetic algorithms Machine learning Massively parallel-processing (MPP) databases Natural language processing Neural networks Pattern recognition Predictive modelling * Internet Computing Design and analysis of internet protocols and engineering Digital libraries/digital image collections Electronic commerce and internet Grid based computing and internet tools Internet and emerging technologies Internet and video technologies Internet applications and appliances Internet banking systems Internet based decision support systems Internet law and compliance Internet security and trust Markup Languages Metacomputing Mobile computing and the internet Network architectures and network computing Novel Java applications on internet Quality of service Search engines Social networks The WWW and intranets The internet and Cloud computing Web based computing Web interfaces to databases Web site design and coordination Search-based applications Sentiment analysis Signal processing Simulation Supervised and unsupervised learning ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ IMPORTANT DATES: Submission Deadline : May 29, 2015 Notification of Acceptance : 2 - 4 weeks from the submission date Camera Ready Submission : Open from now until June 09, 2015 Registration Date : Open from now until June 09, 2015 Conference Dates : June 29 - July 01, 2015 Researchers are encouraged to submit their work electronically. All papers will be fully refereed by a minimum of two specialized referees. Before final acceptance, all referees comments must be considered. Paper Submission: hhttp:// sdiwc.net/conferences/bigdata2015/paper-submission/ Write us for more details: bigdata15(a)sdiwc.net

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SAND7 Announcement
by Barbara Dorney April 22, 2015

April 22, 2015

> > 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 <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.

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CFP: IEEE SDRANCAN-2015 with IEEE GLOBECOM 2015, San Diego, CA, USA, Dec 6 - 10, 2015.
by Sandra Sendra April 21, 2015

April 21, 2015

[Apologies, if you receive multiple copies due to cross posting] *CALL FOR PAPERS* *IEEE International Workshop on Advances in Software Defined Radio Access Networks and Context-aware Cognitive Networks 2015 (IEEE SDRANCAN-2015)* in conjunction with IEEE GLOBECOM 2015, San Diego, CA, USA, Dec 6 - 10, 2015. URL: http://ieee-sdrancan-2015.cwins.org/ *OVERVIEW* Future generation wireless systems will require a paradigm shift in how they are networked, organized, configured, optimized, and recovered automatically based on their operating situations. With the emergence of Software Defined Access Networks and Context-Aware Cognitive Networks (SDRANCAN), wireless users could get seamless wireless connectivity and services regardless of the frequency bands that they are using as a backhaul. Context-Aware cognitive networks provides dynamic adaptive services and applications for wireless users through automatic configuration of devices and their parameters, systems, and services based on the users? contexts. We believe that this workshop is important for future wireless networks and will help to bridge the gap between traditional wireless networks and future wireless networks through both software defined access networks and context-aware cognitive networks. SDRANCAN-2015 will serve as a forum for researchers from academia, government and industries to exchange ideas, present new results and provide future visions on these topics. Original technical papers on the advances in Software Defined Access Networks and Context-Aware Cognitive Networks as well as those that describe practical deployment and implementation experiences are solicited for presentation and publication. *TOPICS OF INTEREST* Topics of interest include but not limited to: Fundamental limits Network architecture Wireless virtualization Network virtualization Software defined networks Cloud-based and/or wired infrastructure Cognitive vehicular ad hoc networks Network visualization Secrecy capacity and rate-equivocation of wireless channels. Admission control in heterogeneous networks Security and Network coding Storage and processing Quality-of-service Smart protocols Case studies and testbeds Cognitive and context aware cyber physical systems Mobile and vehicular networks Data dissemination techniques in context-aware systems Trust, security and privacy issues Socio-economic models Self-organization, Self-configuration, Self-optimization and Self recovery Biological-inspired networking Parameter estimation for adaptation of wireless communication systems Network economics and game theory Interference mitigation and awareness OpenFlow Networking Cognitive networks The workshop accepts only novel, previously unpublished papers. All submissions should be written in English with a maximum paper length of six (6) printed pages (10-point font) including figures without incurring additional page charges (maximum 1 additional page with over-length page charge if accepted) http://globecom2015.ieee-globecom.org/authors *- General Chairs -* Jaime Lloret Mauri, Polytechnic Univ. of Valencia, Spain Danda B. Rawat, Georgia Southern University, USA *- Publicity Chair -* Sandra Sendra, Polytechnic University of Valencia, Spain Al-Sakib Khan Pathan, International Islamic University Malaysia, Malaysia *- Technical Program Committee -* Venkatesan Ekambaram, Qualcomm, USA Bhed B. Bista, Iwate Prefectural University, Japan Sachin Shetty, Tennessee State University, USA Gongjun Yan, University of Southern Indiana, USA Sabu M. Thampi, IIITM-K, India Rajesh K. Sharma, Ilmenau Univ. of Technology, Germany ChunSheng Xin, Old Dominion University, USA Al-Sakib Khan Pathan, IIUM, Malaysia Chandra Bajracharya, Georgia Southern University, USA Javier Aguiar, University of Valladolid, Spain Carlos Baladron, University of Valladolid, Spain Kayhan Zrar Ghafoor, Univ. Teknologi Malaysia, Malaysia Sandra Sendra, Polytechnic University of Valencia, Spain Joel Rodrigues, University of Beira Interior, Portugal =================================================== ===================================================

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postdoc positions - Gatsby Computational Neuroscience Unit
by Peter Latham April 21, 2015

April 21, 2015

The Gatsby Computational Neuroscience Unit invites applications for one or more postdoctoral training fellowships in theoretical neuroscience, including population coding, learning, neural neural dynamics, the interpretation of neural data, perceptual processing, and neuromodulation. The position is available for an initial period of two years, and may be renewed to a maximum of three years. The closing date for applications is 15 March, 2015. Interviews will be held in May 2015. To find out more about the job, and to apply, see http://www.gatsby.ucl.ac.uk/vacancies/TN%20Postdoc2015.html For further details of our research, see http://www.gatsby.ucl.ac.uk/research.html

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[meetings] CALL FOR CONTRIBUTIONS- Workshop: Embodied sensorimotor interaction: from locomotion to collective behavior at SWARM2015
by Poramate Manoonpong April 19, 2015

April 19, 2015

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(a)mmmi.sdu.dk<mailto:poma@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 Støy (IT University of Copenhagen, Denmark) · André 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-Universität Bochum, Germany) · Shinya Aoi (Dept. of Aeronautics and Astronautics, Graduate School of Engineering, Kyoto University, Japan) · Yuichi Ambe (Dept. of Mechanical Engineering and Science, Graduate School of Engineering, Kyoto University, Japan) · Poramate Manoonpong (Embodied AI & Neurorobotics Lab, 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 Wörgötter, Poramate Manoonpong, Yuichi Ambe, Shinya Aoi

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Invitation: IEEE HealthCom 2015
by Jun Suzuki April 18, 2015

April 18, 2015

17th IEEE International Conference on e-Health Networking, Application & Services (HealthCom 2015) October 14 - 17, 2015 Boston, MA, USA http://www.ieee-healthcom.org CALL FOR PAPERS IEEE HealthCom 2015 is fully sponsored by the IEEE Communications Society. It aims at bringing together interested parties from around the world working in the healthcare field to exchange ideas, discuss innovative and emerging solutions, and develop collaborations. eHealth is defined as the cost-effective and secure use of information and communications technologies in support of health and the related fields, including health-care related services, surveillance, literature, education, knowledge and research, both at the local site and at a distance. It will make personalized medicine possible and affordable in the near future. The adoption of e-Health technologies in medical fields creates huge opportunities; however, a number of challenges still need to be addressed to build reliable, secure, and efficient networks or platforms with great flexibility. Prospective authors are cordially invited to submit their original contributions covering completed or ongoing work related to the e-Health area. The topics include but are not limited to: Medical, Biomedical and Health Informatics * Electronic medical records and electronic prescription * Data preprocessing, cleansing, management and mining * Data quality assessment and improvement * Medical imaging * Computer-aided detection, hypothesis generation and diagnosis * Evidence-based medicine * Evolutionary and longitudinal patient and disease models * Clinical workflow * Medication adherence and health monitoring * Smart health and big data Devices * High-confidence medical devices * Integration of medical devices with e-Health * Medical devices interoperability * Wearable devices * In/on/around-body sensors and actuators * Biosensors at the micro/nano-scale * Smart garments/textiles * Wireless energy transfer * Energy harvesting Communications and Networking * Communication/network infrastructures, architectures and protocols for e-Health * Antennas and propagation * Proximity-based communication, group communication and social networks * Power-efficient communication * Ultra wideband communication * Delay-tolerant, fault-tolerant and reliable communication * Cognitive communication for medical bands * In-hospital networking, body area networking and cloud-integrated networking * Software-defined networks and network management * Nanoscale/molecular communications * Network coding and error detection/correction * Middleware for e-Health Signal/Data Processing and Systems * Context awareness and situation awareness * Image/video processing and computer/robot vision * Internet of things, ambient intelligence and pervasive computing * Motion detection and activity recognition * Augmented reality and human-computer interaction * User modeling and personalization * Robotics for e-Health * Computing/storage infrastructures for e-Health such as clouds and virtualization * Software, systems and performance engineering for e-Health Services and Applications * e-Health services/applications for physical and mental health; for example, in acute care, chronic care, mental health care, biomedical engineering, rehabilitation, prosthetics, elderly/nursing care, smart homes and hospitals, and rural/wilderness practice. * e-Health services/applications for sports and exercise; for example, in training prescription and feedback, concussion detection/monitoring, life-logging and fitness monitoring. * e-Health services/applications for public health; for example, disease prevention, pandemic preparedness, epidemiological interventions and smart cities. * e-Health services/applications for extreme environments; for example, in fire fighting, disaster response, evacuation assistance, medical triage, space travel/exploration, deep diving and deep sea exploration. * Quality of experience (QoE) with e-Health services/applications. * Security, privacy and trust for e-Health services/applications * Emerging cloud-based services/applications including health clouds/grids PAPER SUBMISSION Perspective authors are invited to submit their papers, up to 6 pages each, in the IEEE paper template. Please visit http://www.ieee-healthcom.org/ for detailed submission instructions. Papers will be reviewed with the standard reviewing procedure (with at least 3 independent anonymous reviews). IMPORTANT DATES Paper Submission Due: May 15, 2015 Notification of Acceptance: July 5, 2015 Camera ready Papers: August 30, 2015 PUBLICATION All accepted papers will be published by IEEE and and indexed by IEEExplore (http://ieeexplore.ieee.org/) Selected papers will be considered for publication in leading journals such as: * International Journal on E-Health and Medical Communications * IEEE Transactions on NanoBioScience * EAI Transactions on Body Area Networks * Wiley Security and Communication Networks Journal ORGANIZATIONAL COMMITTEE General Chairs: Junichi Suzuki, University of Massachusetts Boston, USA Joel Rodrigues, Institute for Telecommunications/University of Beira Interior, Portugal TPC Chairs: Honggang Wang, University of Massachusetts Dartmouth, USA Min Chen, Huazhong University of Science and Technology, China Nazim Agoulmine, University of Evry Val d'Essonne, France IEEE Healthcom Steering Committee Joel Rodrigues (Chair), IT/Univ. of Beira Interior, Portugal Pradeep Ray, Univ. of New South Wales, Australia Norbert Noury, University of Lyon, France Augusto Venâncio Neto, Federal Univ. of Rio Grande do Norte, Brazil/Instituto de Telecomunicações, Portugal Nazim Agoulmine, Université Evry Val Essonne, France Operations Chairs Douglas Dow, Wentworth Institute of Technology, USA Jones Yu, Wentworth Institute of Technology, USA Publication Chair Norbert Noury, Universite de Lyon, France Tutorial Chair Stefan Covaci, Technical University of Berlin, Germany Special Tracks Chair Sana Ullah, Polytechnic Institute of Porto, Portugal Workshops Chair Christopher Thuemmler, Edinburgh Napier University Registration Chair Xinming Huang, Worcester Polytechnic Institute, USA Publicity chairs Jiaqi Gong, University of Virginia, USA Pawel Swiatek, Wroclaw University of Technology Jianli Pan, University of Missouri, St. Louis, USA Web Chair Yutaka Okaie, Osaka University Zhaoyang Zhang, UMass Dartmouth Treasurer Bruce Worthman, IEEE Communications Society, USA Conference Manager Bridget Erlikh, IEEE Communications Society, USA Branding and Graphic Design Max Loskutnikov, IEEE Communications Society, USA -- Jun Suzuki Associate Professor of Computer Science University of Massachusetts, Boston jxs(a)cs.umb.edu http://www.cs.umb.edu/~jxs/ http://dssg.cs.umb.edu/ @JunSuzukiBoston

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PhD Studentships City University London
by Alonso, Eduardo April 18, 2015

April 18, 2015

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

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IJCAI’15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models (3rd CfP)
by Alessandro Antonucci April 18, 2015

April 18, 2015

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

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Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes April 17, 2015

April 17, 2015

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

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Data Scientist - Healthcare
by Purushothaman, Gopathy April 16, 2015

April 16, 2015

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

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Call for contributions: AI/Neuroengineering for biomedical applications: monitoring, signal processing, disease identification and diagnostic aspects
by Shyam Diwakar April 16, 2015

April 16, 2015

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

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Abstract submission extended for IWSP7: Epilepsy Mechanisms, Models, Prediction & Control
by Levin Kuhlmann April 16, 2015

April 16, 2015

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

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PhD fellowship: A window into the human mind - deadline for application April 23rd 2015
by Arnaud Delorme April 15, 2015

April 15, 2015

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

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Registration deadline extension: Open Source Brain 2015: Building and sharing standardised neuronal models
by Padraig Gleeson April 14, 2015

April 14, 2015

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

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Workshop: Living systems, from interaction patterns to critical behavior.
by suweis infn April 14, 2015

April 14, 2015

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

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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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