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EEG Data Scientist Position at Stanford in Brain Network Connectivity Research
by Wei Wu April 10, 2016

April 10, 2016

The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a Data Scientist position focused on sophisticated analyses of electroencephalography (EEG) data. The focus of this position is on understanding brain network function, relating EEG to functional magnetic resonance imaging (fMRI), and application of network analysis tools (e.g. graph theory, network-based statistics, etc). A particular emphasis will be on extending findings in the lab developed using fMRI connectivity analyses to EEG, which can be leveraged as an assessment tool in clinical psychiatric populations. Machine learning methods will also be employed to determine optimal EEG signals. The successful applicant will have an MS or PhD in Engineering, Statistics, Computer Science, Neuroscience, Neurophysiology, Psychology, or related fields. Experience with analysis of EEG data is required. Additionally, a strong programming background is important. Duties will also include manuscript preparation, presentation of findings at conferences, and contribution to the preparation of grants. Laboratory and Stanford resources include research-dedicated 3T and 7T MRI scanners, simultaneous EEG/fMRI, multiple high density EEG setups, and concurrent transcranial magnetic stimulation (TMS)/fMRI and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu<http://etkinlab.stanford.edu/>. [http://etkinlab.stanford.edu/images/thumb-home1.jpg]<http://etkinlab.stanford.edu/> Etkin Lab - Stanford University School of Medicine<http://etkinlab.stanford.edu/> etkinlab.stanford.edu The Etkin Lab strives to understand the neural basis of emotional disorders and their treatment, and to leverage this knowledge to develop novel treatment interventions. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and three letters of recommendations, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford Neurosciences Institute Stanford University amitetkin(a)stanford.edu

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Call for Submissions to Workshop on Computational Biology at ICML 2016
by Sandhya Prabhakaran April 9, 2016

April 9, 2016

Hi, Please kindly circulate this to interested graduate students, post-docs and faculty. *Call For Submissions We invite submissions to the Workshop on Computational Biology < https://sites.google.com/site/compbioworkshopicml2016/> to be held in conjunction with ICML 2016 <http://icml.cc/2016/> conference in New York City, NY (June 19-24, 2016). In Computational Biology, there has been credible developments in many high-throughput technologies such as next-generation sequencing, CyToF and single-cell sequencing that enable data generation from many interesting biological systems. The gamut of novel algorithms in Machine Learning makes it very attractive to apply these methods to the challenging biological questions. It therefore only seems befitting to bring together researchers engaged in applying ML in Computational Biology to discuss recent advances in this interdisciplinary field and ongoing developments. We have invited several distinguished speakers from the Computational Biology community to discuss and present their current research. We also invite extended abstracts dealing with applications of ML methods or bioinformatics approaches to biological and biomedical data. *Important Dates Deadline for submissions : May 1, 2016 Notification of acceptance : May 10, 2016 Workshop date : June 24th 2016 (Friday, second day of workshops) *Submission All novel Computational Biology approaches are of interest to the workshop. We welcome original extended abstracts that present recently published work as well as preliminary ideas. Extended abstracts should not exceed 4 pages in length (plus 1 optional page for references) and should be in pdf format (one column, font size 12). The submission need not be anonymized. If the abstract concerns previously published work, please cite the original paper in the workshop submission. All accepted contributions shall be presented at the poster session. Awards for Best Poster Presentations will be sponsored by Google. In addition, a set of best submissions will also have the opportunity to present their work as Contributed Talks, and will receive Travel Awards sponsored by IBM Research. Accepted abstracts will have the option of being published on the workshop website. For authors who do not wish their abstracts to be posted online or become citable, please mention this in the workshop submission. Submissions should be made through the EasyChair < https://easychair.org/conferences/?conf=compbioworkshopicml2> system. *Invited Speakers Barbara Engelhardt, Princeton University Jennifer Listgarten, Microsoft Research Christina Leslie, Memorial Sloan Kettering Cancer Center *Registration All participants must register for the ICML 2016 conference. *Contact For workshop-related queries please contact: icml2016compbio(a)gmail.com We are looking forward to your submissions! Organizing Committee: Dana Pe'er, Columbia University Elham Azizi, Columbia University Sandhya Prabhakaran, Columbia University Olga Troyanskaya, Princeton University Edoardo Airoldi, Harvard University Volker Roth, University of Basel

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Image Analysis Job Opportunity at Salk Institute
by Uri Manor April 8, 2016

April 8, 2016

Hi everyone, Please spread the word far and wide! Thanks! WAITT ADVANCED BIOPHOTONICS CORE Job Opportunity – Image Analysis Scientist The Waitt Advanced Biophotonics Center has been established at the Salk Institute for Biological Studies as a state-of-the-art research hub to provide advanced and emerging imaging modalities to enable unprecedented insights into the inner workings of cells, tissues and organisms. We are seeking a highly motivated and experienced candidate in the field of computational image analysis to serve as an Image Analysis Scientist for the Biophotonics Core Facility. The Image Analysis Scientist will have a principal responsibility to collaborate with the other light and electron microscopy researchers in the Biophotonics Core and the Salk Institute to provide specific expertise for developing custom computer algorithms for complex and novel analyses of raw imaging data, computer data management and developing algorithms for microscopy operations. The Image Analysis Scientist will also develop and publish novel imaging and image analysis techniques in collaboration with the Core Director and Salk faculty. The Image Analysis Scientist will apply existing image processing software to 2D and 3D images and videos, and will also integrate data across different platforms (e.g. correlative EM). Finally, under the supervision and training of the Core Director, the Image Analysis Scientist will become familiar with the microscopes used in the facility, and develop expertise in using the equipment to acquire imaging data optimized for image analysis. Along with the Core Director, the Image Analysis Scientist will train Salk scientists on how to properly acquire high quality quantitative microscopy image data. This is a multi-faceted job that involves the following components: • Image Processing & Data Analysis - With the support of the Core Director, the incumbent will participate in the collaborative development of custom image data analysis and algorithm solutions. • Research Design & Participation - aiding Director and independently assisting users in design of imaging experiments. Educate facility users in the use of facility instrumentation and methods used therein for optimal acquisition of imaging data. • Data Collection & Presentation - collecting and managing data and helping to prepare data for publication & presentation. • User Training - guide and assist Salk researchers in the use of existing image acquisition and processing software. To Apply: Send CV to umanor(a)salk.edu<mailto:umanor@salk.edu> or http://www.salk.edu/about/careers/ (Job # F142) Uri Manor, Ph.D. DIRECTOR WAITT ADVANCED BIOPHOTONICS CORE PH (858) 453-4100 x2119 M (314) 406-7618 E umanor(a)salk.edu<mailto:tberggren@salk.edu> W http://bpho.salk.edu<mailto:tberggren@salk.edu> [cid:E4C48475-653C-4000-9B8C-437F759B2644@salk.edu] Salk Institute for Biological Studies 10010 N Torrey Pines Rd • La Jolla, CA 92037 WWW.SALK.EDU<http://www.salk.edu>

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Final deadline extension for contributions - Human Brain Project workshop on Neurorobotics @ Biorob2016
by Falotico Egidio April 8, 2016

April 8, 2016

Dear colleagues (with advance apologies for any cross-postings), We invite submissions for oral or poster presentations at the Human Brain Project workshop on Neurorobotics that will be organized on June 26th, at the sixth IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics BioRob 2016, in Singapore. http://www.sinapseinstitute.org/biorob2016/workshops.php (Conference workshop page) http://sssa.bioroboticsinstitute.it/workshops/biorob2016 (Workshop page for contributions) Prospective authors should submit the extended abstract (one A4 page, in PDF format) by April 14th (final deadline extension), 2016. Notification of acceptance will be received no later than April 21th. For submission please refer to the following link: http://sssa.bioroboticsinstitute.it/workshops/biorob2016/HBPPaperSubmission… ABSTRACT Neurorobotics is already an established branch of robotics that in the last years, taking advantage from an increase in the accessibility of existing neuroscientific data and knowledge, allowed building robotic systems that can exhibit robustness, adaptability and several features of the human intelligence. Reciprocally, significant developments in robotics and machine learning put robotics in the service of neuroscience as experimental platforms or test-beds of brain models. In the last years, advanced insights and the increasing availability of cheap processing power has led Neurorobotics to follow two tracks of research with different goals and methods: The first track focuses on neuro-inspired computing paradigms that mimic nervous system functions based on Spiking Neural Networks. This does not only foster our understanding of biological systems but also contributes to future technical applications in artificial systems. In the past, limited processing power and the lack of appropriate models and tools shifted the focus of research far away from biological neural networks. Recently a number of projects like the US BRAIN Initiative and the Human Brain Project have taken up the challenge by combining efforts from the fields of neuroscience and computer science to enable the large scale modeling and simulation of biological neural networks with billions of spiking neurons. The second track, extending the theory of classical artificial neural networks, mostly relies on simpler neuron models but integrate them in novel network architectures. These networks are extensively used in robotics, allowing mimicking the function of some brain areas in order to reproduce complex behaviors with a reduced computational cost. This workshop seeks to present and discuss advances in neuroscientific models for cognition and new perspectives in control for robotic applications based on both biologically-inspired and artificial neural networks. The final goal is to bring together researchers from both robotics and neuroscience in order to explore how to maximize the progress at the multidisciplinary frontier evaluating the advantages of both tracks of the Neurorobotics research. TOPICS OF INTEREST - Bio-inspired sensory-motor coordination and adaptive control - Active perception - Neurocontrollers - Self-organization and sensory-motor mapping - Predictive behaviour - Bio-inspired learning robots - Robot imitation and learning by demonstration - Memory-based algorithms - Cognitive behaviours in robots - Reservoir computing - Deep learning - Neuromorphic computing for robotics KEYNOTE SPEAKERS Giorgio Metta (Italian Institute of Technology, Italy) - The use of motor invariants can improve action discrimination Tomohiro Shibata (Kyushu Institute of Technology, Japan) Functional Robotic Assistance of Human Motor Learning Ruediger Dillman (Research Center for Information Technology, Germany) - Modelling Cortical Sensor-Motor Control Functionalities with a Spiking Neural-Robot Control Simulator Sunil L. Kukreja (National University of Singapore, Singapore) Integration of Neuromorphic Tactile Perception with Haptic Feedback in a Virtual and Augmented Reality World for Advanced Robotic Control Best Regards, Egidio Falotico, Cecilia Laschi (The BioRobotics Institite,Scuola Superiore SantAnna , Italy) Florian Röhrbein, Florian Walter (Technical University of Munich, Germany) Organizers

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PhD position in Slovakia and US
by Norbert Kopco April 7, 2016

April 7, 2016

A PhD position is available in Norbert Kopco's Perception and Cognition Lab at Safarik University in Kosice, Slovakia, for a Marie Curie EU-funded project on adaptation and learning in spatial hearing (http://pcl.upjs.sk/grants/alt/) This is an international collaborative project, combining psychophysical, neuroimaging and computational methods. As part of this project, the student would be expected to work on development of modules for an auditory training tame (so, some programing skills are important), and spend up to 12 months in the US, either in Aaron Seitz's Brain Game Center at UC Riverside and/or Erick Gallun's lab at the Portland VA / OHSU (or, possibly with the other members of the consortium). Interested candidates please contact norbert.kopco(a)upjs.sk with a CV and a research statement. Information about PhD student application procedures is available at <http://www.upjs.sk/en/faculty-of-science/foreign-students/>http://www.upjs.sk/en/faculty-of-science/foreign-students/ . -- doc. Norbert Kopco, Ph.D. Assoc Professor / Senior Researcher: Inst of Computer Sci, Faculty of Science, Safarik Univ, Kosice, Slovakia Adjunct: Ctr for Computational Neurosci (CompNet), Boston University & Martinos Ctr for Biomed Imaging, Harvard Med School - Mass Gen Hospital P: +16175759556 F: +14847279884, kopco(a)bu.edu, http://cns.bu.edu/~kopco

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postdoctoral position in cognitive and affective neuroscience
by Steven Greening April 6, 2016

April 6, 2016

Applications are invited for a full-time postdoctoral research fellowship in the laboratory of Dr. Steven Greening on projects investigating the neural bases of emotion-cognition interactions. This position involves developing, running, and analyzing data on projects from healthy and mentally ill individuals, and presenting findings in peer-reviewed manuscripts and at conferences in collaboration with Dr. Greening. The research combines behavior and physiology with a multimodal MRI approach, FMRI and DTI, using univariate and multivariate analyses. This is a full-time one-year position with the possibility to renew for a second year. Apply online and view a more detailed ad at: www.lsusystemcareers.lsu.edu. Position #039259

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Post-Doc Opening in Interactive Systems Integration for Assistive Technologies
by Giacinto Barresi April 5, 2016

April 5, 2016

Post-Doc Opening in Interactive Systems Integration for Assistive Technologies Added on: 05/04/2016 - Expires on: 06/05/2016 Info: https://www.iit.it/careers/openings/opening/126-post-doc-opening-in-interac… The Biomedical Robotics Lab at the Department of Advanced Robotics (ADVR) at Istituto Italiano di Tecnologia (IIT), an English-speaking research Institute, is looking for a highly motivated, full-time postdoctoral researcher to work in the areas of interactive systems integration for assistive technologies. This position (within the project TEEP-SLA, funded by Fondazione Roma) is dedicated to research and development of solutions for integrating brain-computer interfaces (BCIs) with interactive systems (multisensory user interfaces, embedded devices) to provide feedback that eases the collection and interpretation of user’s data and commands. This is a new project that aims to create novel assistive technologies for ALS (Amyotrophic Lateral Sclerosis) patients. We are especially looking at satisfying the patients’ social interaction and communication needs with innovative patient interfaces and associated robotic technologies. We are looking for an outstanding scientist with a PhD in engineering, robotics, or other fields related to user interfaces and embedded programming. The successful candidate will mainly focus on the development and integration of BCIs with novel wearable sensors and feedback devices able to provide motor/tactile feedback. The scientist will work in a multidisciplinary team including roboticists, biomedical engineers, interaction researchers and healthcare professionals. Field studies (involving patients, their relatives, and healthcare professionals) will be an integral part of the work, serving both to refine system specifications and to assess new technologies. This research will advance the state of the art in BCI control, enabling greatly enhanced patient experience during the use of assistive communication and social interaction systems. The position includes theoretical and hands-on research, supervision of PhD students, and support to general lab activities. Desired qualifications: - PhD degree in engineering, robotics, or related fields. - Experience in user interface development and embedded programming, preferably for biosignals-related applications. - Excellent publication record in interactive systems and real-time embedded systems. - Experience with physical tactile/motor user interfaces. - Experience with interfacing computer systems and technological (e.g. robotic) devices. - Strong interest in assistive technologies and in-field studies. - Creativity and proactive attitude. - Strong communication and English language skills (written and oral) - Independent and persistent personality, strong team player - The salary will depend on qualifications and experience and will include additional health benefits. To apply, please send electronically a detailed CV with list of publications, University transcripts, your best first-author paper, a cover letter outlining motivation and statement of research interests/plan and contact information of at least two references to applications(a)iit.it by May 6th, 2016 stating “TEEP-SLA Post-Doc” in the subject of the e-mail. Only complete applications will be evaluated. Istituto Italiano di Tecnologia (IIT), with its headquarters in Genova, Italy, is a non-profit institution with the primary goal of creating and disseminating scientific knowledge and strengthening Italy’s technological competitiveness. The institute offers state-of-the-art equipment and a top-level interdisciplinary research environment focused on robotics and computer vision, neuroscience, drug discovery, nanoscience and technology. In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art. 7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. Info: https://www.iit.it/careers/openings/opening/126-post-doc-opening-in-interac… Contacts applications(a)iit.it Giacinto Barresi, PhD Post Doc Biomedical Robotics Laboratory Advanced Robotics (ADVR) Department Istituto Italiano di Tecnologia (IIT) Via Morego, 30 16163 Genova (Italy) Mobile: +39 331 9835396 Email: giacinto.barresi(a)iit.it Webpage: https://iit.it/people/giacinto-barresi

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TEX2016 to close with keynote lecture by Yann LeCun
by Alessandro Treves April 5, 2016

April 5, 2016

Our 9 days of cross-fertilization http://indico.sissa.it/e/tex2016 on language learning will close with the open-ended stimulation provided by a pioneer of the deep learning perspective (on July 15). Students are still invited to apply to the school, before April 15, (no extensions - enough applications already) and free participants are most welcome to join TEX2016 any time; but book your own accommodation! -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623+39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602+39-349-2504602

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MuTE software UPDATE: the graphical user interface is ready
by Alessandro Montalto April 4, 2016

April 4, 2016

Dear all, I am very pleased to announce the availability of the updated version of MuTE, a toolbox that is able to detect directed dynamical influences among time series. This new open source software implements four entropy estimators in both uniform and non-uniform embedding approaches. *The graphical user interface is ready to be used.* Please download the latest version of MuTE here: http://mutetoolbox.guru/downloads/ The GUI has been developed by Frederik Van de Steen: http://mutetoolbox.guru/frederik-van-de-steen/ ******************* Subscribe to the newsletter if you want to be kept updated about future updates of MuTE or follow the toolbox improvements through - twitter: https://twitter.com/mutetoolbox - facebook: https://www.facebook.com/mutetoolbox Best regards, Alessandro Montalto

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[ACM UMAP] Final Call for Tutorials
by Jie Zhang April 4, 2016

April 4, 2016

Final Call for Tutorials ACM UMAP 2016 invites tutorials that address the interests of its varied audience: people new to the User Modeling, Adaptation and Personalisation researchers and practitioners who wish to learn new technologies, users of Personalized technologies, and representatives of government and funding agencies as well as potential private investors in Personalized technologies. We welcome submissions of tutorial proposals on all major topics related to user modeling and personalisation technologies. We especially solicit proposals for tutorials of the following types: -- Tutorials with a coherent theme providing an introduction to new user modeling technologies, methods, techniques, and trends (e.g. exploiting data-mining and big data analytics for user modeling, evaluation methodologies, data visualizationetc.) -- Tutorials describing the application of user modeling and personalization technologies in specific domains (e.g., health sciences, e-government, e-commerce, cultural heritage, education, internet of things, mobile, music, information retrieval, NLP, etc.). -- Tutorials presenting techniques from other fields that are of relevance for user modeling and personalization research, including social sciences, digital humanities, biomedical or cognitive science, and neuroscience research. Tutorials may focus on theoretical topics, however, we encourage organizers to incorporate hands-on sessions where appropriate. The tutorial should reach a good balance between the topic coverage and its relevance to the community. Tutorials can be half a day (3 hours) or full day (6 hours). Timeline for Tutorials Tutorial proposals due: *April 10, 2016* Notification of acceptance: May 5, 2016 Tutorial Days: 13 July (Wednesday) and/or 17 July (Sunday) 2016 Responsibilities Organizers of accepted tutorials are responsible for preparing the materials for attendees (slide sets, additional teaching material, software installation and usage guides for practical hands-on sessions, etc.) to the Tutorial Chairs. The UMAP 2016 Organizing Committee is responsible for providing publicity for the tutorials as part of the conference publicity activities, and on-site logistical support to the organizers and attendees. General Information In the interest of the overall quality of the conference, the Tutorial Chairs reserve the right to merge tutorials and/or adjust the scope thereof in case a minimum number of registrations is not reached by the early registration deadline. Submission details Tutorial proposals should not exceed 5 pages, and should contain the following information: -- Abstract. 200 words maximum, for inclusion on the UMAP2016 website. -- Tutorial description: objectives of the tutorial and relevance to UMAP2016; information about the scope and level of detail of the material to be covered; intended audiences; learning objectives; practical sessions. -- Tutorial length. The tutorial can be full or half day -- Specify other venues to which the tutorial or part thereof has been or will be presented, in addition to explaining how the current tutorial differs from the other editions. Links to the slides of previous tutorial editions (if applicable) should be included in the proposal. -- Brief professional biography of the presenter(s) indicating previous training and speaking experience (such as teaching and tutorial presentation). All proposals will be reviewed by the tutorial chairs and discussed within the organization committee of the UMAP2016. Submission Proposals should be submitted in PDF format by email to the tutorial chairs at workshopumap2016(a)gmail.com by April 10, 2016. Tutorials Chairs Federica Cena, Università degli Studi di Torino, Italy, email: cena(a)di.unito.it Jie Zhang, Nanyang Technological University, Singapore, email: zhangj(a)ntu.edu.sg

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