- Comp-neuro - lists.cnsorg.org

Data Scientist - Healthcare

by Purushothaman, Gopathy

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

April 16, 2015

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

by Shyam Diwakar

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

April 16, 2015

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

by Levin Kuhlmann

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

April 16, 2015

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

by Arnaud Delorme

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

April 14, 2015

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

by Padraig Gleeson

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

April 14, 2015

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

by suweis infn

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

April 14, 2015

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

by Reza Khorshidi

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

April 14, 2015

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

by Reza Khorshidi

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

April 14, 2015

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

by Silvio P. Sabatini

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

April 14, 2015

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

by Asim Roy

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

April 13, 2015