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Job posting: PhD Traineeship in the Dutch Research Consortium 'Language in Interaction'

by Lorenz, C.M.

PhD Traineeship in the Dutch Research Consortium 'Language in Interaction' Maximum salary: € 2,717 gross/month Closing date: 05 July 2015, 23:59 CET More information: http://www.ru.nl/newstaff/vacaturebeschrijving?tk=uk&recid=556519 The Dutch research consortium 'Language in Interaction' invites applications for a 4-year PhD traineeship on the topic of computational cognitive models of psycholinguistic processes. You will carry out research as a member of one of the PI-groups of the Centre for Language Studies at Radboud University under supervision of Dr. Stefan Frank. The Netherlands has an outstanding track record in the language sciences. The research consortium 'Language in Interaction', sponsored by a large grant from the Netherlands Organization for Scientific research (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. The consortium has representatives from seven universities and one research institute in the Netherlands. These are Radboud University (RU), University of Amsterdam (UvA), University of Maastricht (UM), Leiden University (LU), Utrecht University (UU), Erasmus University Rotterdam (EUR), Tilburg University (TiU), and the Max Planck Institute for Psycholinguistics (MPI). Excellence in the domain of language and related relevant fields of cognition is combined with state-of-the-art research facilities and a research team with ample experience in complex research methods and utilization. Together, this consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else in the world. The current position will be embedded in the Centre for Language Studies at Radboud University. This centre conducts research in an international setting. English is the lingua franca. Your graduate training will take place in the International Max Planck Research School for Language Sciences. Click here for more information on this PhD position and how to apply. http://www.ru.nl/newstaff/vacaturebeschrijving?tk=uk&recid=556519

June 12, 2015

postdoc in computational neuroscience

by Máté Lengyel

Postdoctoral Fellow in Computational Neuroscience University of Cambridge We are seeking a highly creative and motivated postdoctoral fellow (research associate or senior research associate) to work jointly in the groups of Guillaume Hennequin and Mate Lengyel at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge (http://learning.eng.cam.ac.uk/) Our groups study dynamics and computation in neural circuits using a combination of approaches from dynamical systems, control theory, and statistical inference. The jointly led project will combine normative with bottom-up approaches to study the neural implementation of challenging computations. Areas of interest include balanced network dynamics, synaptic plasticity, and Bayesian inference. The successful candidate will have a strong analytical background and demonstrable interest in theoretical neuroscience. They should have or be close to completion of a PhD or equivalent in computational neuroscience, physics, mathematics, computer science, machine learning or a related field. Previous experience in computational neuroscience is not required, but preference will be given to candidates with sufficient programming skills to run numerical simulations, or expertise with neural network models, analysis of dynamical systems, and Bayesian techniques. The appointment will be for 1 year initially (extendable subject to funding) starting 1 October 2015 or as soon as possible thereafter. Salary depends on experience and is in the range £28,695 - £48,743 p.a. Further information: http://www.jobs.cam.ac.uk/job/7261/ http://www.jobs.cam.ac.uk/job/7176/ For informal queries, please contact Guillaume Hennequin <g.hennequin(a)eng.cam.ac.uk> or Mate Lengyel <m.lengyel(a)eng.cam.ac.uk>. Mate Lengyel -- Mate Lengyel, PhD Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel(a)eng.cam.ac.uk web: www.eng.cam.ac.uk/~m.lengyel

June 12, 2015

PhD positions in language and sensorimotor cognition, Otago University, New Zealand

by Alistair Knott

We are seeking applications for PhD positions in neural network modelling of human language: specifically, in developing neural network models of the interface between language and the sensorimotor system. Projects include modelling the interface between language and visual attention/visual object classification mechanisms, and modelling the interface between language and action execution/action perception mechanisms. The positions are based at the Department of Computer Science at the University of Otago in New Zealand, under the supervision of Alistair Knott and Lubica Benuskova. The department has an active neural networks programme, with five academic staff working in this area, and two more working in related areas of computer vision. The PhD projects relate to an ongoing project funded by the New Zealand Marsden fund, Does language mirror the structure of sensorimotor cognition?, funded by the New Zealand Marsden Fund. Otago University’s PhD scholarships are open to qualified students from any country, and cover both course fees and living expenses. To be considered for a PhD scholarship, applicants must have at least a four-year undergraduate degree in Computer Science. Applicants must also have a research project worth at least 25% of a full-time load in their final year, and must have an 'A' average or better in their final year of study. To be considered for the current PhD projects, applicants must also have some experience in Artificial Intelligence, Linguistics or Cognitive Science. If you have questions about the PhD projects, please contact Alistair Knott (alik(a)cs.otago.ac.nz) If you wish to apply for a PhD position, please email Alistair Knott (alik(a)cs.otago.ac.nz) attaching an electronic copy of your transcript for your Bachelor's degree. If you have a Master's degree, or are currently enrolled in one, please attach your Master's transcript (up to the present) and, if possible, an abstract of your thesis. If you have publications, please select your single best publication and send a PDF version of that, identifying the conference or journal that accepted it in sufficient detail to allow verification. **Kindly don't send zip files, as our antivirus software quarantines them.** The deadline for applications is June 30th. Otago University is in Dunedin, a university town on the South-East coast of New Zealand's South Island. Dunedin sits on a spectacular harbour, with unspoiled beaches for wildlife and surfing, and lies within a few hours' drive of Queenstown and Wanaka in the Southern Alps. For more information about Otago, Dunedin, and our department: - http://www.otago.ac.nz/ - http://www.otago.co.nz/ - http://www.cs.otago.ac.nz/

June 11, 2015

CFP The 9th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2016

by Calendar Sites

CALL FOR PAPERS The 9th International Joint Conference on Biomedical Engineering Systems and Technologies BIOSTEC 2016 Website: http://www.biostec.org/ 21 - 23 February, 2016 Rome, Italy Regular Papers Paper Submission: September 10, 2015 Authors Notification: December 2, 2015 Camera Ready and Registration: December 16, 2015 Position Papers Paper Submission: November 2, 2015 Authors Notification: December 4, 2015 Camera Ready and Registration: December 18, 2015 Workshops Workshop Proposal: September 11, 2015 Doctoral Consortium Paper Submission: December 3, 2015 Authors Notification: December 11, 2015 Camera Ready and Registration: December 22, 2015 Special Sessions Special Session Proposal: September 23, 2015 Paper Submission: November 23, 2015 Authors Notification: December 9, 2015 Camera Ready and Registration: December 17, 201 <http://www.ic3k.org/Glossary.aspx#43> Tutorials, Demos and Panels Proposals October 16, 2015 Sponsored by: INSTICC - Institute for Systems and Technologies of Information, Control and Communication INSTICC is Member of: WfMC Workflow Management Coalition OMG Object Management Group FIPA Foundation for Intelligent Physical Agents In Cooperation with: AAAI Association for the Advancement of Artificial Intelligence EUROMICRO ESEM - European Society for Engineering and Medicine ISfTeH - International Society for Telemedicine & eHealth BMES - Biomedical Engineering Society EURASIP - European Association for Signal Processing Logistics Partner: SCITEVENTS Science and Technology Events The purpose of BIOSTEC is to bring together researchers and practitioners, including engineers, biologists, health professionals and informatics/computer scientists, interested in both theoretical advances and applications of information systems, artificial intelligence, signal processing, electronics and other engineering tools in knowledge areas related to biology and medicine. BIOSTEC is composed of five co-located conferences, each specialized in a different knowledge area. BIODEVICES 2016 The 9th International Conference on Biomedical Electronics and Devices Program Chair James Gilbert, University of Hull, United Kingdom CONFERENCE TOPICS * Emerging Technologies * Biomedical Instrumentation * Biomedical Equipment * Biomedical Sensors * Biomedical Metrology * Health Monitoring Devices * Low-power Design * Electrical Bio-impedance * Bio-electromagnetism * Biorobotics * Biocomputing and Biochips * Implantable Electronics * Wireless Systems and Biotelemetry * Biomaterials * MEMS * Nanotechnologies * Biomechanical Devices * Artificial Limbs * Technologies Evaluation * Electrocardiography and Heart Monitoring * Computational Physiology (virtual organs) * Brain-computer Interfaces * Spectroscopic Applications * Imaging and Visualization Devices * Rehabilitation Technology * Lab on a Chip and Microfluidic Devices * Mobile and Wearable Devices BIOIMAGING 2016 The 3rd International Conference on Bioimaging Program Chair Haim Azhari, Technion Israel Institute of Technology, Israel CONFERENCE TOPICS * Medical Imaging and Diagnosis * Image Processing Methods * Image Fusion Methods * Feature Recognition and Extraction Methods * Biomechanical Imaging * Image Archiving and Communication * Telemedicine and Virtual Environments * Magnetic Resonance Imaging (MRI) * Functional Magnetic Resonance Imaging (Fmri) * Single-photon Emission Computed Tomography (SPECT) * Positron Emission Tomography (PET) * High Resolution Research Tomography (HRRT) * Magnetoencephalography (MEG) * Ultrasound and Optical Imaging * Optical Elastography * X-ray Microscopy * Biophotonics * Fluorescence Resonance Energy Transfer (FRET) * Conventional Microscopy * Confocal Microscopy * Fluorescent Microscopy * Quantitative Bioimaging * Structural Biology * Brain Function Analysis * Hemodynamics Imaging * Histology and Tissue Imaging BIOINFORMATICS 2016 The 7th International Conference on Bioinformatics Models, Methods and Algorithms Program Chair Hesham Ali, University of Nebraska at Omaha, United States CONFERENCE TOPICS * Simulation * Computational Intelligence * Genomics and Proteomics * Sequence Analysis * Structural Bioinformatics * Image Analysis * Visualization * Databases and Data Management * Data mining and Machine Learning * Biostatistics and Stochastic Models * Pharmaceutical Applications * Systems Biology * Algorithms and Software Tools * Web Services in Bioinformatics * Computational Molecular Systems * Immuno- and Chemo-informatics * Pattern Recognition, Clustering and Classification * Structure Prediction * Model Design and Evaluation * Transcriptomics * Next Generation Sequencing * Structural Variations BIOSIGNALS 2016 The 9th International Conference on Bio-inspired Systems and Signal Processing Program Chair Carla Quintão, FCT-UNL, Portugal CONFERENCE TOPICS * Speech Recognition * Neural Networks * Biometrics * Pattern Recognition * Medical Signal Acquisition, Analysis and Processing * Wearable Sensors and Systems * Real-time Systems * Evolutionary Systems * Acoustic Signal Processing * Time and Frequency Response * Wavelet Transform * Medical Image Detection, Acquisition, Analysis and Processing * Physiological Processes and Bio-signal Modeling, Non-linear Dynamics * Cybernetics and User Interface Technologies * Electromagnetic fields in biology and medicine * Fuzzy Systems and Signals * Monitoring and Telemetry * Cardiovascular Signals * Image Analysis and Processing * Detection and Identification * Motion Control HEALTHINF 2016 The 9th International Conference on Health Informatics Program Co-chairs Jan Sliwa, Independent, Switzerland Carolina Ruiz, WPI, United States CONFERENCE TOPICS * Datamining * Knowledge Management * Decision Support Systems * Interoperability * Telemedicine * Medical and Nursing Informatics * Confidentiality and Data Security * Wearable Health Informatics * Semantic Interoperability * Therapeutic Systems and Technologies * Physiological Modeling * Databases and Datawarehousing * Cognitive Informatics * Affective Computing * Human-machine Interfaces for Disabled Persons * ICT, Ageing and Disability * Design and Development Methodologies for Healthcare IT * Mobile Technologies for Healthcare Applications * Evaluation and Use of Healthcare IT * Healthcare Management Systems * E-Health * Development of Assistive Technology * Electronic Health Records and Standards * Software Systems in Medicine * Pervasive Health Systems and Services * e-Health for Public Health * Clinical Problems and Applications * Data Visualization * Pattern recognition and Machine Learning * Practice-based Research Methods for Healthcare IT BIOSTEC KEYNOTE LECTURE Hayit Greenspan, Tel Aviv University, Israel PUBLICATIONS All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. SCITEPRESS is member of CrossRef ( <http://www.crossref.org/> http://www.crossref.org/) All papers presented at the conference venue will be available at the <http://www.scitepress.org/DigitalLibrary/Default.aspx> SCITEPRESS Digital Library. The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus. AWARDS The awards will be announced and bestowed at the conference closing session. Please check the websites for further information: http://www.biodevices.biostec.org/BestPaperAward.aspx http://www.bioimaging.biostec.org/BestPaperAward.aspx http://www.bioinformatics.biostec.org/BestPaperAward.aspx http://www.biosignals.biostec.org/BestPaperAward.aspx http://www.healthinf.biostec.org/BestPaperAward.aspx BIOSTEC CONFERENCE CO - CHAIRS Ana Fred, Instituto de Telecomunicações / IST, Portugal Hugo Gamboa, CEFITEC / FCT - New University of Lisbon, Portugal Please check further details at the conference website http://www.biostec.org/ BIOSTEC Secretariat Address: Av. D. Manuel I, 27A, 2º esq. 2910-595 Setúbal - Portugal Tel.: +351 265 100 033 Fax: +44 203 014 8813 e-mail: biostec.secretariat(a)insticc.org

June 11, 2015

Deep Learning and Continuous Time Computing - Track at SAC 2016 - Call for Papers

by Davide Zambrano

Dear all, Please consider joining our track at SAC2016. Apologies for cross posting. Best regards. ————————————————————————————————————— ACM Symposium on Applied Computing (SAC) 2016 The 31st Annual ACM Symposium on Applied Computing in Pisa, Italy, April 3 – 8, 2016. (webpage : http://www.acm.org/conferences/sac/sac2016/) Deep Learning and Continuous-Time Computing (webpage : http://event.cwi.nl/sac2016/) ————————————————————————————————————— SAC 2016: For the past thirsty years, the ACM Symposium on Applied Computing has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2016 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be hosted by the University of Pisa and Scuola Superiore Sant’Anna University, Italy. Artificial Intelligence (AI) is one of the objectives of Machine Learning: how to create computers capable of intelligent behavior. Deep Learning in artificial neural networks represents a remarkable step toward this direction. Current state-of-the-art AI in the form of deep neural networks has recently demonstrated breakthrough performance in various AI-cognitive tasks, from image and speech recognition to natural language generation and playing ATARI games. However, in real-world applications like video processing or robot control, a deep neural network has then to be updated continuously, causing a high computational load. Specialized acceleration hardware is being developed for deep learning in continuous-time environments. In addition, or alternatively, Spiking Neural Networks (SNNs) represent another possible solution for efficient continuous-time representation and computing in deep neural networks. This Track aims to consolidate the current state-of-the-art in deep learning, continuous-time computing, spiking neural networks and related acceleration hardware tools (such as GPUs, SpiNNaker or Neuromorphic Silicon systems) showing recent and future progresses of this rising and growing research field. ————————————————————————————————————— Topics of interests: Deep learning Continuous-time learning Spiking Neural Networks Asynchronous computation Large scale parallel simulations and computing Neuromorphic computing ————————————————————————————————————— Important Dates are published on the Conference or Track webpages. ————————————————————————————————————— Track Program Committee: Sander Bohte, CWI Amsterdam (NL) (Track Chair — email to s.m.bohte(a)cwi.nl ) Davide Zambrano, CWI Amsterdam (NL) (Track Chair — email to d.zambrano(a)cwi.nl ) Thomas Nowotny, University of Sussex (UK) Steven Furber, University of Manchester (UK) Karl Tuyls, University of Liverpool (UK) Shih-Chii Liu, University of Zurich/ETH Zurich (CH) Robert Babuska, Delft University of Technology (NL) Andre Gruning, University of Surrey (UK) Max Welling, University of Amsterdam (NL) Narayan Srinavasa, HRL Laboratories LLC (USA) Eleni Vasilaki, University of Sheffield (UK) ————————————————————————————————————— Important notice: Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library. ————————————————————————————————————— Dr. Davide Zambrano PostDoc at CWI, Amsterdam (NL) MSc in Biomedical Eng. - PhD in Biorobotics D.Zambrano(a)cwi.nl Centrum Wiskunde & Informatica (CWI) Science Park, 123 1098 XG - Amsterdam

June 11, 2015

two postdoctoral positions in recording and statistical analysis of population activity

by Gergo Orban

We are inviting applications for two postdoctoral positions at the Pattern Research Group which is affiliated with the MTA Wigner ResearchCentre for Physics (Budapest, Hungary) and MTA Institute for Experimental Medicine and is sponsored by a prestigious National Brain Research Program grant. The primary focus of the research group is the characterization of activity patterns of large-scale neural populations in the hippocampus and the understanding of the computational principles underlying its dynamically changing states. The unparalleled performance of the nervous system is due to the fast and parallel processing of information that is achieved by the coherent activity of networks of neurons. Recent advancements in recording techniques provides access to high temporal resolution data from hundreds of identified neurons during task performance of animals. Understanding the organizational principles underlying the high-dimensional activity patterns has become a fundamental challenge of neurobiology. We are seeking highly motivated candidates for one post in computational/theoretical neuroscience and one in electrophysiology to work on a project that is based on a strong collaboration between neurophysiology and theoretical neuroscience. Details of the two posts can be found below. Postdoctoral fellow in theoretical/computational neuroscience The ideal candidate has a strong mathematical background, preferably with a PhD in physics, computer science, or mathematics or other quantitative disciplines. Besides mathematical skills, the position requires competence in programming (e.g. matlab, R, python, or C++). Candidates with training or research experience in statistics, machine learning, computational modelling, dynamical systems are especially encouraged to apply. Training in neuroscience is not required but the applicant has to demonstrate his/her willingness to acquire the necessary background for the project. High dimensional neuronal data is recorded by the experimental part of the group (Attila Gulyas, Institute for Experimental Medicine) but the candidate will have the opportunity get experience with cutting-edge neuronal recording techniques to design of novel experiments based on the analysis of the recorded data. The successful applicant will be co-supervised by Gergő Orbán and András Telcs. Postdoctoral fellow or PhD student in hippocampal electrophysiology The ideal candidate has a strong background in in vitro or in vivo electrophysiology or optical imaging to take part of this challenge and to work on a project that is based on a strong collaboration between neurophysiology and theoretical neuroscience. The primary task of the candidate will be to set up the equipment and to monitor the activity of large (>100) populations of hippocampal neurons in vitro, and later in head-restrained mice using optical imaging techniques and genetically expressed Ca2+ indicators. Preprocessing and to a given depth the analysis of the rough data also expected. The high-level analysis of the recorded data is performed by the theoretical part of the group (led by András Telcs and Gergő Orbán, MTA Wigner Centre for Physics) but basic knowledge of statistics is essential and previous experience with signal processing or programming (Igor, Python, Matlab or similar language) is advantageous and contribution to that part of the project is expected, based on the load of the experimental part. The applicant will be supervised by Attila Gulyás. The expected starting date of the position is 1 September 2015 but the start date of the position is negotiable. Initial appointment is made for one year but can be extended to three years upon successful evaluation. The work is based in the PATTERN lab at the MTA Wigner Institute (Budapest, Hungary) but requires regular interactions with the experimental partners at the Institute for Experimental Medicine (Budapest). For further information please visit the project website, http://pattern.wigner.mta.hu <http://pattern.wigner.mta.hu/>. For informal inquiries please contact Gergo Orban (orban.gergo(a)wigner.mta.hu <mailto:orban.gergo@wigner.mta.hu>) or Andras Telcs (telcs.szit.bme(a)gmail.com <mailto:telcs.szit.bme@gmail.com>). Please send applications, including CV, a research statement and contact information of two references by email to András Telcs before 30 June.

June 10, 2015

Postdoctoral position on assessing auditory cognition to implement neurofeedback in hearing aids

by Tobias Reichenbach

Applications are invited for a Research Associate to work on project in auditory cognitive neuroscience at Imperial College London. The project is part of an exciting multi-centre effort with the Universities of Southampton and Manchester to employ neurofeedback for building 'smart' hearing aids. The successful candidate will join the group of Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach) The project is further embedded in the Centre for Neurotechnology at Imperial College (http://www3.imperial.ac.uk/neurotechnology <http://www3.imperial.ac.uk/neurotechnology>). The project's goal is to develop experimental paradigms and associated data analytics to predict a person's speech comprehension based on non-invasive electroencephalographic (EEG) measurements of his or her brain activity in response to natural speech. This will employ advanced data analytics to correlate EEG responses to key aspects of speech, such as its envelope. The project will further investigate how these EEG assessments can be employed to fit and adapt the settings of a hearing aid in order to maximize its usefulness for a hearing-impaired person. Applicants should have a PhD (or equivalent) in computing, engineering, neuroscience or physical sciences with experience in signal processing as well as neuroimaging. For an informal discussion please contact Dr Tobias Reichenbach (email: reichenbach(a)imperial.ac.uk <mailto:a.kedgley@imperial.ac.uk>; telephone: +44 (0)20 759 46370). Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment <http://www3.imperial.ac.uk/employment>. (Select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number EN20150202FH. Alternatively, if you are unable to apply online, please email Edit Toth on etoth(a)imperial.ac.uk <mailto:etoth@imperial.ac.uk> to request an application form. The preferred starting date is September 2015. Applications received before the 6th of July 2015 will receive full consideration. ------------------------------------------- Tobias Reichenbach Lecturer, Biophysics of Hearing Editor, Heliyon Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

June 10, 2015

Postdoctoral position on real-time fMRI brain decoding

by Paolo Avesani

Postdoctoral position: Real-time fMRI brain decoding Applications are invited for a funded Post-Doctoral position at the the Neuroinformatics Laboratory (NILab), a joint initiative of the Center for Mind/Brain Sciences (CIMeC), University of Trento, and the Fondazione Bruno Kessler (FBK), Italy. The position is part of a large grant (2.1 million Euro) awarded by the Autonomous Province of Trento to work on the topic "Characterizing and improving brain mechanisms of attention" (ATTEND). The position will be for an expert in multivariate pattern analysis of fMRI brain data. The activities will include the design, the implementation and the validation of real-time fMRI decoding methods to investigate the human visual attention system. The work will involve the integration of several aspects, including real-time MRI acquisition, multivariate brain decoding methods and adaptive stimulation protocols for visual perception and attention. Candidates should have a degree in Physics, Biomedical Engineering, Computer Science, or a related field with a strong mathematical and computational background. Ideally they should have experience with real-time brain fMRI experiments. The position will be available immediately. Informal inquiries can be addressed to info.nilab(a)fbk.eu. Interested applicants should send a CV, a statement of research interests, and the names and full contact details of two referees at http://hr.fbk.eu/jobs. Usful links: NILab - http://nilab.fbk.eu FBK - http://www.fbk.eu/ CIMeC - http://www.unitn.it/cimec ATTEND - https://www.attendproject.eu/

June 9, 2015

Brain Imaging Faculty Search --Rutgers@Newark

by Stephen José Hanson

The Department of Psychology at Rutgers University-Newark anticipates hiring at the assistant professor (tenure track) level. We seek applications from individuals with specializations in areas of Psychology and Neuroscience that primarily use fMRI as a methodology. Examples of research areas of special interest include social, developmental and cognitive neuroscience. Applicants that incorporatebrain connectivity concepts in their research are encouraged to apply. Applicants will have access to the new Rutgers University Brain Imaging Center (RUBIC; Siemens 3T Trio). This position requires a Ph.D. in Psychology, Neuroscience, or related field. Highest priority will be given to applicants who demonstrate excellence in teaching at the graduate and undergraduate levels, provide research mentorship to students, and have research programs that can be supported by external funding. Applicants should submit a CV, statement of research and teaching interests, 3 top pre/re-prints and 3 letters of recommendation to:facultysearch@psychology.rutgers.edu. We will give priority to applications received by October 15th but will continue the search until the position is filled. Diversity Mission: Rutgers/Newark is the most ethnically diverse research-oriented campus in America (16 consecutive years, US News & World Report). Applicants may include a brief statement in their cover letter explaining how their membership in our department will advance the University commitment to diversity.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status or any other classification protected by law. Rutgers-Newark is an Affirmative Action/Equal Opportunity Employer and actively encourages applications from minorities, women, and other underrepresented groups. Please send queries to me (jose(a)rubic.rutgers.edu) > -- Stephen José Hanson Director RUBIC (Rutgers Brain Imaging Center) Professor of Psychology Member of Cognitive Science Center (NB) Member EE Graduate Program (NB) Member CS Graduate Program (NB) Rutgers University email: jose(a)rubic.rutgers.edu web: psychology.rutgers.edu/~jose lab: www.rumba.rutgers.edu fax: 866-434-7959 voice: 973-353-3313 (RUBIC)

June 9, 2015

Deadline soon! Nominations for Swartz Prize for Theoretical and Computational Neuroscience

by Mark Goldman

Dear Computational Neuroscience Community, We are now nearing the deadline (next week, Wednesday June 17) for soliciting nominations for the Society for Neuroscience's annual Swartz Prize for Theoretical and Computational Neuroscience. The Swartz Prize, supported by the Swartz Foundation, honors an individual whose activities have produced a significant cumulative contribution to theoretical models or computational methods in neuroscience or who has made a particularly noteworthy advance in theoretical or computational neuroscience. Recipients receive a $25,000 prize and complimentary registration, transportation (economy air or ground), and two nights hotel accommodations for the SfN annual meeting, as well as a lecture slot at the Dynamical Neuroscience Satellite Event (sponsored by NIMH). The SfN president presents the prize at a lecture at the SfN annual meeting. How to nominate an individual: *Submit all materials using SfN's award nomination site <http://www.sfn.org/Awards-and-Funding/Individual-Prizes-and-Fellowships/Nom…>, accessible through the Society for Neuroscience webpage:* *http://www.sfn.org/Awards-and-Funding/Individual-Prizes-and-Fellowships/Outstanding-Research-and-Career-Awards/Swartz-Prize-for-Theoretical-and-Computational-Neuroscience * *Please include the following:* * One nomination letter * Maximum of two optional letters of recommendation (one letter must include a summary of past, present, and future research, maximum of two pages) * Current CV * A list of publications and abstracts authored or co-authored by the nominee Best regards, Mark Goldman

June 9, 2015