- Comp-neuro - lists.cnsorg.org

several full-time job openings at HRL Laboratories in Malibu, CA
by Pilly, Praveen K Jan. 8, 2017

Jan. 8, 2017

(1) POST DOC RESEARCH STAFF, Machine Learning and Brain-Inspired Computing (2) RESEARCH STAFF, Machine Learning and Brain-Inspired Computing EDUCATION DESIRED: Ph.D. in Applied Mathematics, Neuroscience, Machine Learning, or related fields. ESSENTIAL JOB FUNCTION: To develop, implement, and evaluate novel large-scale brain-inspired computational architectures, including spiking neuromorphic models, to solve complex problems such as resilient sensorimotor control; one-shot learning; visual scene segmentation, recognition, and tracking; spatiotemporal pattern discovery; big data prognostics and diagnostics; grammar learning; etc. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise. KNOWLEDGE AND EXPERIENCE DESIRED: Programming proficiency in C++, Python, or Matlab is required. Knowledge and/or research experience in the development, implementation, and evaluation of various neural networks including spiking neuromorphic models, deep learning models, hierarchical temporal memory models, recurrent neural networks, long short-term memory models, deep reinforcement models. Knowledge of expectation maximization theory, Bayesian inference on graphical models, reinforcement learning theory, control systems, nonlinear optimization, and episodic, semantic, and procedural memory systems is preferred. Any experience with high-performance computing using clusters, GPUs, or FPGAs will be a plus. ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, and active participation in R&D team activities are required. Able and willing to occasionally travel. SPECIAL REQUIREMENTS: U.S. person status required. (3) POST DOC RESEARCH STAFF, Machine Learning and EEG Processing EDUCATION DESIRED: Ph.D. in Applied Mathematics, Neuroscience, Machine Learning, Bio-Statistics, or related fields ESSENTIAL JOB FUNCTION: To develop, implement, and validate real-time pattern recognition algorithms for decoding high-density EEG signals to predict future behavioral performance and inform non-invasive brain stimulation for behavioral enhancement in realistic tasks. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise. EXPERIENCE DESIRED: Research experience in one or more of the following areas: high-density EEG decoding, pattern recognition applied to brain/body signals, machine learning with very limited training data, brain-machine interfaces, neural statistical modeling, closed-loop brain stimulation, and computational neuroscience. Deep understanding of machine learning algorithms applied to EEG is highly desirable. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. Individuals with a keen interest in translating basic neuroscience research into real-world applications are especially encouraged to apply. KNOWLEDGE AND EXPERIENCE DESIRED: Background in one or more of the following areas: machine learning, pattern recognition, statistical data analysis, neural statistical modeling, neurophysiology, peripheral physiology, neuroscience, and sleep/wake states. Programming proficiency in Matlab and/or C++ is required. ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills and active participation in R&D team activities are required. Able and willing to occasionally travel. SPECIAL REQUIREMENTS: U.S. person status required. We are proud to be an EOE/Minorities/Females/Vet/Disability employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing. (4) SOFTWARE ENGINEER, Cluster Implementation for Large-Scale Brain Networks EDUCATION DESIRED: Master's degree (or higher) in computer science, engineering, or related fields ESSENTIAL JOB FUNCTION: To implement and evaluate flexible, general-purpose large-scale brain networks on CPU and GPU clusters for real-time operation in real-world applications. Also to visualize large-scale network activity and develop a user interface to set various parameters. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise. KNOWLEDGE AND EXPERIENCE DESIRED: Strong C++ and Python programming skills are required. Experience with/knowledge of brain networks and neural models is highly desired. Experience with threaded programming and MPI, and familiarity with Linux development environment is desired but not necessary. ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, and active participation in R&D team activities are required. SPECIAL REQUIREMENTS: U.S. person status required. We are proud to be an EOE/Minorities/Females/Vet/Disability employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing. The Information and Systems Sciences Laboratory (ISSL) at HRL Laboratories conducts groundbreaking research in three thrust areas: Complex Networks, Secure and Resilient Systems, Autonomy Computing, and Human-Machine Cognition. We create new and innovative capabilities for diverse applications such as cyber-security, unmanned autonomous systems, human performance augmentation, big data analytics, intelligence, surveillance, and reconnaissance, and electronic warfare. The goal of our research in Human-Machine Cognition is to understand how humans process information and effectively interact with the environment to develop smarter autonomous systems, enhance human performance, and develop novel processing systems. Our research starts with the development of large-scale, neurobiologically and behaviorally faithful brain region models. We apply these models along with real-time measurements of brain activity (EEG, fMRI, fNIRS) to create advanced brain-computer interfaces, human decision aids, and neurostimulation-based enhanced training systems. We also use our models to develop novel brain-inspired sensor exploitation, machine learning, and control algorithms, and to develop low size, weight and power brain-based processing hardware for resilient autonomous systems, dexterous robots, and threat warning applications. HRL offers a competitive salary and benefits package, a small company atmosphere, and an ideal work location overlooking the Pacific Ocean. We also provide a collaborative technical culture committed to producing the leading R&D in the world. If interested, please send your resume via email to Dr. Praveen Pilly (pkpilly(a)hrl.com<mailto:pkpilly@hrl.com>) and put the pertinent Job Name in the subject heading. -- Praveen K. Pilly, Ph.D. Research Staff Scientist Information and Systems Sciences Laboratory HRL Laboratories Address: 3011 Malibu Canyon Road, Malibu, CA 90265 Tel: (310) 317-5492 Email: pkpilly(a)hrl.com

1 0

Multiple Postdoc positions in systems neuroscience at Columbia University
by Qi Wang Jan. 6, 2017

Jan. 6, 2017

Apologies for cross posting. Multiple postdoc positions funded by NIH and DARPA projects are available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University (http://neclab.bme.columbia.edu/) The projects investigate the role of the locus coeruleus (LC) – norepinephrine (NE) system in modulating perception, behavior and learning, and how to accelerate perceptual learning through control of LC activity and peripheral nerve stimulation. We are seeking highly motivated individuals with excellent academic track-record, including first-author publications in peer-reviewed journals. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical Engineering, Neuroscience, Electrical & Computer Engineering, or a related field. Ideal applicants should have a background on electrophysiology, behavioral training of rodents, and quantitative analytical methods. Experiences in optical imaging is a plus. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team. Applicants should submit a CV, including a list of publications, a brief description of research interests, and a list of three references. All application materials as well as any inquiries should be sent to qi.wang(a)columbia.edu. Salary will be commensurate to the candidate qualifications. -- ====================================== Qi Wang, Assistant Professor Dept. of Biomedical Engineering Columbia University ET 351, 500 W 120th Street New York, NY 10027 Email:qi.wang@columbia.edu Associate Editor IEEE Transactions on Neural Systems and Rehabilitation Engineering http://tnsre.embs.org/

1 0

Applications open for Okinawa/OIST Computational Neuroscience Course 2017
by Erik De Schutter Jan. 6, 2017

Jan. 6, 2017

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2017 Methods, Neurons, Networks and Behaviors June 26 to July 13, 2017 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 26th through July 13th, 2017 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 3 - February 5, 2017. Applicants will receive confirmation of acceptance in March. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Bard Ermentrout (University of Pittsburgh, USA) • Ila Fiete (University of Texas Austin, USA) • Sonja Grün (Research Centre Jülich, Germany) • Shin Ishii (Kyoto University, Japan) • Jason Kerr (MPI Bonn, Germany) • Bernd Kuhn (OIST) • Subkin Lim (NYU Shanghai, China) • Michele Migliore (Institute of Biophysics, Italy) • David Redish (University of Minnesota, USA) • Reza Shadmehr (Johns Hopkins University, USA) • Greg Stephens (OIST) • Yoko Yazaki-Sugiyama (OIST) • Charles Wilson (University of Texas San Antonio, USA)

1 0

Columbia Workshop on Brain Circuits, Memory and Computation 2017
by Aurel A. Lazar Jan. 5, 2017

Jan. 5, 2017

Columbia Workshop on Brain Circuits, Memory and Computation 2017 BCMC 2017 March 13-14, 2017 Center for Neural Engineering and Computation Columbia University, New York, NY, USA Overview The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers. A Fruit Fly Brain Hackathon <http://www.bionet.ee.columbia.edu/hackathons/ffbh/2017> is being conducted in conjunction with the workshop. Workshop participants are welcome to attend the hackathon. Organizer and Program Chair Aurel A. Lazar <http://www.ee.columbia.edu/~aurel>, Department of Electrical Engineering, Columbia University. Program Overview (Confirmed Speakers) Dinu Florin Albeanu <http://albeanulab.labsites.cshl.edu/people/>, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY. Vijay Balasubramanian <http://www.sas.upenn.edu/~vbalasub/public-html/Home.html>, Department of Physics, University of Pennsylvania. Albert Cardona <https://www.janelia.org/people/albert-cardona>, Janelia Research Campus, Ashburn, VA. Ann-Shyn Chiang <http://brc.life.nthu.edu.tw/FlyLab/html/leader.html>, National Tsing Hua University, Hsinchu, Taiwan. Jonathan B. Demb <http://eyes.yale.edu/people/jonathan_demb.profile>, Yale School of Medicine. Barry J. Dickson <https://www.janelia.org/people/barry-dickson>, Janelia Research Campus, Ashburn, VA. Anmo J. Kim <http://www.rockefeller.edu/research/faculty/labmembers/GabyMaimon/>, Rockefeller University, New York. Konrad P. Kording <http://klab.smpp.northwestern.edu/wiki/index.php5/People>, Feinberg School of Medicine, Northwestern University. Adam H. Marblestone <http://www.adammarblestone.org/>, Synthetic Neurobiology Group, MIT. Katherine I. Nagel <http://www.nagellab.com/people/>, NYU Medical School. Gerald M. Rubin <http://www.hhmi.org/scientists/gerald-m-rubin>, Janelia Research Campus, Ashburn, VA. Silke Sachse <https://www.ice.mpg.de/ext/index.php?id=hopa&pers=sisa3622>, Max Planck Institute for Chemical Ecology, Jena. Marion Silies <http://www.eni-net.org/members/dr-marion-silies>, European Neuroscience Institute, Göttingen. Andreas S. Thum <https://cms.uni-konstanz.de/neuro/member/?tx_mhkleineidam_pi1%5BpId%5D=5029>, Department of Biology, University of Konstanz. Tim P. Vogels <https://www.dpag.ox.ac.uk/research/vogels-group>, Department of Physiology, Anatomy and Genetics, University of Oxford. More information about BCMC 2017 can be found here <http://fruitflybrain.org/workshops.html>. Aurel http://www.bionet.ee.columbia.edu <http://www.bionet.ee.columbia.edu/>

1 0

Fwd: Ressearch Assitant McGill University
by Md. Taufiq Nasseef Jan. 4, 2017

Jan. 4, 2017

I am already a member of this comp-neuro mailing list. Could you circulate this one please. Thanks. Best wishes, Taufiq *Please see advertisement below:* *Job Title:* Research Assistant *Hiring Unit*: Dr. Brigitte Kieffer’s laboratory *Work Location*: Douglas Hospital and Research Center - Perry Building 6875, boul. LaSalle *Hours/week*: 35 hours/week – Mon-Fri *Salary*: $27,000 -36,000 (adjusted according to experience) *Start Date:* February 1st 2017 *Description:* The selected candidate will be part of an internationally renowned team of Prof. Brigitte Kieffer (http://douglas.research. mcgill.ca/brigitte-kieffer) and will be a key actor for two team projects. These studies aim at understanding the function of Mu opioid receptors (the receptors for morphine) within brain networks and also test innovative opiates drugs. Methodological approaches include establishment of functional connectivity signatures using fMRI in live mice and also visualize/quantify receptor signaling by fluorescence microscopy. The selected candidate will be responsible for image acquisition and post-processing of the fMRI images as well as participating in the development of a pipeline to analyze multiphoton or confocal microscopy images. *Primary Duties*: Acquisition of fMRI images (Bruker 7 Tesla) Data analysis and image post-processing 3D reconstruction and volume analysis of microscopy (confocal/multiphoton) images *Requirements:* Bachelors degree in Biology/Computer Science or relevant experience. Knowledge in MRI and animal experimentation. Knowledge in coding, OS and languages (Linux, MATlab, Python) Excellent organizational and time management skills. Strong team spirit to ensure optimal interactions with all team scientists. *Comments:* The person will profit from Douglas Research Centre benefits. Applicants are invited to submit their cover letters and resumes via email to: emmanuel.darcq(a)douglas.mcgill.ca We thank all applicants. Only selected candidates will be contacted. ------------------------------------------------------------ ------------------------------- Emmanuel Darcq, PhD Brigitte Kieffer Lab, Douglas Research Centre Dpt Psychiatry, Faculty of Medicine, McGill University Perry room E-3403 6875, boulevard LaSalle Montreal (Quebec) H4H 1R3 CANADA Phone :+1 514 761-6131 ext.: 4772 Avis de confidentialité: L'information contenue dans ce courriel peut être confidentielle et/ou privilégiée. Si vous n’êtes pas le destinataire de ce message, veuillez le détruire et en informer l’expéditeur. Il est interdit de copier ou de modifier ce courriel sans autorisation de l’auteur. Le Centre intégré universitaire de santé et de services sociaux de l’Ouest-de-l’Île-de-Montréal n’assume aucune responsabilité du contenu des messages personnels. Notice of confidentiality: The information contained in this email may be confidential and/or privileged. If you are not the intended recipient of this message, please destroy it and advise the sender. It is forbidden to copy or modify this email without the author's consent. The Centre intégré universitaire de santé et de services sociaux de l’Ouest-de-l’Île-de-Montréal is not responsible for the content of personal messages. -- Md Taufiq Nasseef, PhD Post Doctoral Fellow Brain Imaging Center Douglas Mental Health University Institute McGill University 6875 Lasalle Blvd. Montreal, QC, H4H 1R3 Canada Tel: (514) 862-6907 <%28514%29%20557-2740>

1 0

Master Internship + PhD at CerCo, Toulouse, France
by Timothée Masquelier Jan. 4, 2017

Jan. 4, 2017

Beating Roger Federer: *Modeling visual learning and expertise through a bioinspired neural network embedded in an electronic device* *Goal:* Internship for student in engineering school / Master degree’s student. The project can lead to a PhD grant. *When:* 5-6 months from February to July 2017 *Topic:* How do expert tennis players, like Roger Federer for example, predict if a ball will bounce in or out the field to decide if it should be played or not? After thousands of trajectory presentations, best champions have developed extraordinary skills in such a task, but little is known on how the visual system turns selective to spatiotemporal properties of the visual stimulus (e.g., 3D position, velocity and acceleration) and learns how to make an efficient use of it. The goal of the project is to build an embedded system – based on FPGA circuits and ARM processor – an artificial neural network which would replicate – and perhaps beat – the visual and anticipatory performances of these expert players. To achieve this goal successfully, we will develop a bio-inspired neural network, based on some of the key properties of human vision: the Smart NeuroCam (GST company) will be used to reproduce the retina functioning. It triggers its message under the form of spikes, in an asynchronous way (without any concept of frame per second), responding to spatial or temporal changes in the pattern of illumination. Several kinds of pre-processing filters can be implemented in VHDL language directly in the FPGA circuits, and the output is then sent to a neural network. The artificial network will learn to use this message, applying a simple learning rule, the Spike-Timing-Dependent Plasticity (STDP). This rule allows each neuron to become selective to a particular property of the stimulus, completely autonomously and with no supervision. Several layers will be built to allow perceiving more and more complex properties of the visual scene. Once the network will be established, its performances will be assessed in different conditions of learning and compared to those of the best tennis players. *The project is funded by a French National Research Agency (ANR)*, involving two sites and several researchers: - Robin Baurès, Benoit Cottereau, Timothée Masquelier and Simon Thorpe, CerCo, Toulouse. - Michel Paindavoine, GST, Dijon. *Where: *The candidate will be based at CerCo, Toulouse (France), and will make the interface with the two sites, with regular trips. The computational neuroscience part will be done at Toulouse, and electronic part at Dijon. *Objectives for the engineering / Master internship:* - Matlab (or Python) based simulations of numerical filters. These filters will be applied to the image processing from which spikes are generated and then sent to feed the neural network and STDP learning mechanism. - VHDL coding to implement these numerical filters into the FPGA circuits of the cameras - C/C++ coding of the neural network and STDP mechanism that should work on an embedded ARM processor system - Experimental tests that will allow evaluating the performance of the whole system, from spikes generation to visual properties learning of the embedded system, to predict tennis ball’s trajectories *Required skills:* - Strong knowledge on electronic, and openness to computational neurosciences - Knowledge in signal-image processing, and artificial neural network - Interest for multidisciplinary research - Ability to turn smoothly autonomous, once the road has been set - Ability to be at the interface of two scientific fields and two working areas - Programming with Matlab and/or Python for simulating the neural network - Programming in VHDL language for FPGA circuits - Programming in C/C++ language for porting the algorithms on ARM microprocessors - French is not a requirement if fluent in English, but willingness to learn would be beneficial *Relevant publications for the project:* - Masquelier, T., Guyonneau, R. & Thorpe S.J. (2009). Competitive STDP-Based Spike Pattern Learning.Neural Comput, 21(5),1259-1276. - Masquelier, T. & Thorpe, S.J. (2007). Unsupervised learning of visual features through spike timing dependent plasticity. PLoS Comput Biol, 3(2):e31. - Cottereau, B.R., McKee, S.P. & Norcia, A.M. (2014). Dynamics and cortical distribution of neural responses to 2D and 3D motion in human. Journal of Neurophysiology 111(3), 533-543. - SmartNeuroCam de GST : https://gsensing.eu/fr/ category/sections/products *Contact:* *Robin Baurès, PhD* Associate Professor CerCo, Université Toulouse 3, CNRS CHU Purpan, Pavillon Baudot 31059 Toulouse Cedex 9 – France Office phone: 0033 (0)5 62 74 62 15 <05%2062%2074%2062%2015> Email : robin.baures(a)cnrs.fr *Pr Michel Paindavoine* GlobalSensing Technologies 14, rue Pierre de Coubertin 21000 Dijon email : michel.paindavoine(a)gsensing.eu

1 0

Postdoc position at TU Berlin/BCCN Berlin
by Philipp Hoevel Jan. 4, 2017

Jan. 4, 2017

The Hövel group (Institute of Theoretical Physics at TU Berlin and Bernstein Center for Computational Neuroscience Berlin) invites application for a postdoc position in the area of computational neuroscience. The successful applicant will be joining a DFG-funded project entitled "Temporal fluctuations in functional networks of the human brain - modeling brain transition between cognitive states" Detailed knowledge in the area of computational neuroscience and nonlinear dynamics is essential, experience in neuroimaging data analysis is advantageous. For further details, see official call for applications: https://tub.stellenticket.de/de/offers/31261/ Closing date for applications is January 23, 2017. -- Dr. Philipp Hövel Junior Research Group Leader Technische Universität Berlin Fakultät II - Mathematik und Naturwissenschaften Institut für Theoretische Physik, Sekr. EW 7-1 Hardenbergstr. 36 10623 Berlin, Germany Phone: +49 (0)30 314-27658 Fax: +49 (0)30 314-21130 Email: phoevel(a)physik.tu-berlin.de Web: http://www.tu-berlin.de?hoevel

1 0

Funded PhD position on neural circuits & behaviour, University of Cambridge
by Timothy O'Leary Jan. 4, 2017

Jan. 4, 2017

A funded PhD position "Reverse-engineering invertebrate neural circuits" is available in the group of Timothy O'Leary, University of Cambridge. Start date: October 2017, *application deadline: January 31, 2017*. Eligibility: *UK and EU students*. The project is a collaboration with a leading experimental lab (Marta Zlatic, HHMI), studying the neural circuits underlying behavioural variability in Drosophila. The project aims to uncover circuit principles of action selection using a combination of theory, computational modeling and cutting-edge experiments. Applicants should have strong skills in mathematics, programming and data analysis, and a desire to develop cutting-edge experimental techniques. *Full description and application instructions are available here*: http://www.jobs.cam.ac.uk/job/12211/ Please feel free to contact Dr O'Leary directly with informal enquiries ( tso24(a)cam.ac.uk) http://www.neuroscience.cam.ac.uk/directory/profile.php?tso24

1 0

Systems neuroscience mailing list
by Nikolas Karalis Jan. 4, 2017

Jan. 4, 2017

Dear all, I would like to inform you about a new mailing list targeted to researchers in the wider field of Systems Neuroscience. The aim is to create a platform for the distribution of useful information such as job and conference calls. More information about this mailing list can be found at the website: www.systemsneuroscience.eu You can directly subscribe by clicking this link <https://groups.google.com/group/systems-neuroscience/subscribe>. If you would like to advertise any job openings or events you are organizing, please feel free to post to the mailing list by sending an email to the address: systems-neuroscience(a)googlegroups.com Kind regards, Nikolas Karalis -- Nikolas Karalis - http://www.nikolaskaralis.gr <http://nikolaskaralis.gr> Doctoral Candidate in Neuroscience - Ludwig-Maximilians Universität München M.Sc. in Neuroscience (Charité, Berlin & Université de Bordeaux II) B.Sc, M.Sc in Applied Mathematics and Physics (NTUA)

1 0

Postdoctoral Position in Computational Neuroscience at IDIBAPS/UPF (Barcelona)
by JROCHAV＠clinic.cat Jan. 3, 2017

Jan. 3, 2017

Postdoctoral Position on Behavioural modelling and neural analysis of flexible perceptual decision-making at IDIBAPS / UPF (Barcelona) A postdoctoral research position in computational neuroscience is available to work with Jaime de la Rocha at IDIBAPS (Barcelona) and Alexandre Hyafil at the Universitat Pompeu Fabra (UPF, Barcelona). The postdoctoral fellow will be a vital member of the interdisciplinary research team led by Jaime de la Rocha that studies perception and cognition using combined theoretical and experimental approaches. More specifically, the fellow’s work will be part of an ERC-funded project aiming to unravel the behavioural principles and the neural mechanisms underlying how recent experience shapes perception and guides decisions. The fellow will (1) characterize the behavioural influence of recent history onto perceptual choices in rats and humans performing acoustic discrimination tasks, (2) analyze population recordings from cortical neurons obtained from rats to uncover the traces of recent history decision biases and (3) build dynamical models of behaviour based on the population recordings using a variety of machine learning tools. Behavioural and neural data is currently being acquired by other researchers in the lab. The work will be co-supervised between Jaime de la Rocha, head of the Cortical Circuit Dynamics Group (http://neuro.fcrb.es/delaRochaLab/) and Alexandre Hyafil who is establishing his new laboratory in the nearby UPF, and has in the last years develop a set analysis techniques fitted for our data. Both groups are part of the vibrant computational neuroscience community of Barcelona, which promotes the interaction among groups by organizing multiple interaural activities. Applicants should have a strong background in computational neuroscience or applied mathematics and have a keen interest in interdisciplinary approaches that integrate modeling and experimental research. Programming proficiency (Matlab and/or Python) is required. Experience in machine learning methods, advanced statistics as well as nonlinear dynamical systems will be valued. Ability to collaborate in a pluridisciplinary team is essential. Initial appointment for this position is for two years. Review of applications will begin immediately and will continue until the position is filled. Applicants, please send a resume, names and contact of 3 references and a cover letter explaining your interest and research experience to jrochav(a)clinic.cat<mailto:jrochav@clinic.cat> and alexandre.hyafil(a)gmail.com<mailto:alexandre.hyafil@gmail.com>. Jaime de la Rocha Group Leader at IDIBAPS c. Rosselló 149-153 Barcelona, 08036 Spain Tel. +34 932275400 (4307)

1 0

PhD positions available at the Bernstein Centre Freiburg, Germany
by Carsten Mehring Jan. 2, 2017

Jan. 2, 2017

The Bernstein Center Freiburg (BCF) is inviting applications for fully funded PhD positions in Computational Neuroscience and Neurotechnology. The BCF concentrates research in Computational Neuroscience and Neurotechnology at the University of Freiburg, Germany. The projects are highly interdisciplinary and span across mathematical-theoretical approaches on the function and dynamics of neuronal networks, neuroanatomy, experimentally driven neurophysiology and the development of technologies for medical application. The deadline for applications is January 31, 2017. For more information, please visit our website http://www.bcf.uni-freiburg.de/jobs <http://www.bcf.uni-freiburg.de/jobs> -- Dr. Birgit Ahrens birgit.ahrens(a)bcf.uni-freiburg.de <mailto:birgit.ahrens@bcf.uni-freiburg.de> Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559

1 0

NeuroBridges 2017 Summer school announcement
by ahmed el hady Jan. 2, 2017

Jan. 2, 2017

*NeuroBridges 2017 Summer school , Cluny, France* *(** September 3 - September 14, 2017 )* *NeuroBridges* is an initiative that was founded to bring Mediterrenean and Middle Eastern neuroscientists in an event to discuss science and promote mutual understanding. The two first events of the series took place in Goettingen, Germany in July 2014 ( http://elsc.huji.ac.il/content/neurobridges) and in Paris, France, in September 2015 (http://elsc.huji.ac.il/content/second-neurobridges-meeting) Each of these three days events brought together twenty young speakers, Palestinians, Egyptians, Jordanians, Syrians and Israelis, as well as several speakers from the hosting countries. Nobel Laureate Erwin Neher opened NeuroBridges in 2014. Stanislas Dehaene, professeur au College De France and member of the French Academy of Sciences gave the opening lecture in NeuroBridges 2015. *NeuroBridges 2017* ( http://decision-making-lab.com/NeuroBridges/neurobridges2017.html) will be a ten days summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions of contemporary neuroscience. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in applied mathematics, computer science, electrical engineering or physics, interested in theoretical brain and cognitive sciences. We will also consider those with biological or medical background given that they show proof of basic mathematical knowledge (i.e. linear algebra, calculus, in particular ordinary differential equation). Through the online application system (can be accessed through: http://decision-making-lab.com/NeuroBridges/neurobridges2017.html ) , you will be asked to provide personal details, academic background, the names of two referees , a motivation letter that should include a paragraph about your quantitative skills and a CV. The school will take place between September 3 and September 14, 2017 in Le Centre de Conférences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. The application deadline is March 31st 2017. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home>(Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home> (Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel>(CNRS, Paris, France). *2017 Confirmed Faculty (check the website regularly for updated faculty list):* Carl van Vreeswijk (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/carl-van-vreeswijk/> Gianluigi Mongillo (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/gianluigi-mongillo/> Shaul Druckmann (Janelia) <https://www.janelia.org/people/shaul-druckmann> Yoram Burak (Hebrew University) <http://elsc.huji.ac.il/burak/home> Omri Barak (Technion) <http://neuroscience.technion.ac.il/researcher/19> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> Farzan Nadim (NJIT) <https://biology.njit.edu/people/nadim.php> If you have any questions, please do not hesitate to email Ahmed El Hady (email: ahady(a)princeton.edu )

1 0

4th International Synthetic & Systems Biology Summer School, July 17-21, 2017, University of Cambridge, UK
by Giuseppe Nicosia Dec. 26, 2016

Dec. 26, 2016

_________________________________________ Call for Participation (apologies for multiple copies) _________________________________________ 4th International Synthetic & Systems Biology Summer School *Biology meets Computer Science & Engineering* July 17-21, 2017, University of Cambridge, UK W: http://www.taosciences.it/ssbss/ E: ssbss.school(a)gmail.com F: https://www.facebook.com/ssbss.school/ APPLICATION DEADLINE: March 31, 2017 http://www.taosciences.it/ssbss/#application-form <http://www.taosciences.it/ssbss/#application-form> DESCRIPTION & GOALS: Recent advances in DNA synthesis have increased our ability to build biological systems. Synthetic Biology aims at streamlining the design and synthesis of robust and predictable biological systems using engineering design principles and advanced algorithms. Designing biological systems requires a deep understanding of how genes and proteins are organized and interact in living cells: Systems Biology aims at elucidating the cellular organization at gene, protein and network level using computational and biochemical methods. The Synthetic and Systems Biology Summer School (SSBSS) is a full-immersion five-day residential summer school at the Robinson College, University of Cambridge, UK on cutting-edge advances in systems and synthetic biology with lectures delivered by world-renowned experts. The school provides a stimulating environment for students (from Master students to PhD students), Post-Docs, early career researches, academics and industry leaders. Participants will also have the chance to present their results, and to interact with their peers, in a friendly and constructive environment. LIST OF SPEAKERS: * Antonino Cattaneo, Scuola Normale Superiore Pisa, Italy * Jasmin Fisher, Microsoft Research & Cambridge Systems Biology Centre, UK * Carole Goble, University of Manchester, UK * Jim Haseloff, University of Cambridge, UK * Jay Keasling, University of California, Berkeley, USA Lawrence Berkeley National Laboratory, USA Joint BioEnergy Institute, USA * Edda Klipp, Humboldt University, Germany * Natalio Krasnogor, Centre for Synthetic Biology and Bioexploitation, Newcastle University, UK * Markus Ralser, Cambridge Systems Biology Centre, University of Cambridge, UK & The Francis Crick Institute London, UK * Uwe Sauer, Institute of Molecular Systems Biology, ETH Zurich, Switzerland * Sarah Teichmann, Wellcome Trust Sanger Institute & EMBL, European Bioinformatics Institute, UK SCHOOL DIRECTORS: * Massimo Gulisano, University of Catania, Italy * Giuseppe Nicosia, University of Catania, Italy * Steve G. Oliver, University of Cambridge, UK CALL FOR POSTERS & TALKS: The International Synthetic & Systems Biology Summer School is especially aimed to provide a stimulating environment for young researchers, Post-Doc and Ph.D. Students. They will have the possibility to present the results of their research activities on the topic of the summer school, and to interact with their scientific peers, in a friendly and constructive way. Applicants may submit an abstract to present their results. The abstract should be submitted before 31 March 2017. Suitable space will be reserved to the applicants for showing their posters. The poster must be written in English. For your poster, a board will be provided which measures 90cm tall by 70cm wide. You need to print and bring with you the poster to the school. Push tacks or Velcro adhesive will be provided at the conference to mount your poster to the board. POSTER & TALK SUBMISSION: Applicant may submit a research abstract for presentation using the Application Form. School directors and the Scientific Committee will review the abstracts and will recommend for poster or short-oral presentation. Abstract should be submitted by March 31, 2017. The abstracts will be published on the electronic hands-out material of the summer school. http://www.taosciences.it/ssbss/#application-form PREVIOUS EDITIONS: http://www.taosciences.it/ssbss2016/ http://www.taosciences.it/ssbss2015/ http://www.taosciences.it/ssbss2014/ MORE INFORMATION: W: http://www.taosciences.it/ssbss/ E: ssbss.school(a)gmail.com F: https://www.facebook.com/ssbss.school/ * Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for SSBSS 2017. Together we will make SSBSS 2017 a great event! * SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/ Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/

1 0

CFP - 13th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM 2017)
by Sandhya Prabhakaran Dec. 24, 2016

Dec. 24, 2016

Hi, ** We apologize in advance if you receive multiple copies of this CFP ** ** Kindly help to distribute this CFP to your mailing list ** *4th Call for Papers * 13th International Conference on Machine Learning and Data Mining in Pattern Recognition (*MLDM 2017*) www.mldm.de July 15th - 21st, 2017 New York, USA Chair: Prof. Dr. Petra Perner Institute of Computer Vision and applied Computer Sciences, IBaI Leipzig/Germany Program Committee Sergey Ablameyko Belarus State University, Belarus Michelangelo Ceci Universtiy of Bari, Italy Patrick Bouthemy INRIA VISTA, France Xiaoqing Ding Tsinghua University, China Christoph F. Eick Universtiy of Houston, USA Ana Fred Technical University of Lisboa, Portugal Giorgio Giacinto University of Cagliari, Italy Makato Haraguchi Hokkaido University of Sapporo, Japan Dimitris Karras Chalkis Institute of Technology, Greece Adam Krzyzak Concordia University, Canada Thang V. Pham University of Amsterdam, The Netherlands Linda Shapiro University of Washington, USA Shashank Shekhar VMware Inc., USA Tamas Sziranyi MTA-SZTAKI, Hungary Francis E.H. Tay National University of Singapore, Singapore Alexander Ulanov HP Labs, Russia Zeev Volkovich ORT Braude College of Engineering, Israel Patrick Wang Northeastern University, USA Aim of the Conference ------------------------- The MLDM´2017 conference is the tenth event in a series of Machine Learning and Data Mining meetings, initially organised as international workshops. The aim of MLDM´2017 is to bring together from all over the world researchers dealing with machine learning and data mining, in order to discuss the recent status of the research in the field and to direct its further developments. Basic research papers as well as application papers are welcome. All kinds of applications are welcome, but special preference will be given to multimedia related applications, biomedical applications, and webmining. Paper submissions should be related but not limited to any of the following topics: * association rules * case-based reasoning and learning * classification and interpretation of images, text, video * conceptional learning and clustering * Goodness measures and evaluaion (e.g. false discovery rates) * inductive learning including decision tree and rule induction learning * knowledge extraction from text, video, signals and images * mining gene data bases and biological data bases * mining images, temporal-spatial data, images from remote sensing * mining structural representations such as log files, text documents and HTML documents * mining text documents * organisational learning and evolutional learning * probabilistic information retrieval * Selection bias * Sampling methods * Selection with small samples * similarity measures and learning of similarity * statistical learning and neural net based learning * video mining * visualization and data mining * Applications of Clustering * Aspects of Data Mining * Applications in Medicine * Autoamtic Semantic Annotation of Media Content * Bayesian Models and Methods * Case-Based Reasoning and Associative Memory * Classification and Model Estimation * Content-Based Image Retrieval * Decision Trees * Deviation and Novelty Detection * Feature Grouping, Discretization, Selection and Transformation * Feature Learning * Frequent Pattern Mining * High-Content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry * Learning and adaptive control * Learning/adaption of recognition and perception * Learning for Handwriting Recognition * Learning in Image Pre-Processing and Segmentation * Learning in process automation * Learning of internal representations and models * Learning of appropriate behaviour * Learning of action patterns * Learning of Ontologies * Learning of Semantic Inferencing Rules * Learning of Visual Ontologies * Learning for robots * Mining Images in Computer Vision * Mining Images and Texture * Mining Motion from Sequence * Neural Methods * Network Analysis and Intrusion Detection * Nonlinear Function Learning and Neural Net Based Learning * Real-Time Event Learning and Detection * Retrieval Methods * Rule Induction and Grammars * Speech Analysis * Statistical and Conceptual Clustering Methods: Basics * Statistical and Evolutionary Learning * Subspace Methods * Support Vector Machines * Symbolic Learning and Neural Networks in Document Processing * Time Series and Sequential Pattern Mining * Mining Social Media * Audio Mining * Cognition and Computer Vision Important Dates ----------------- Deadline for paper submission: January 15, 2017 Notification of acceptance: March 18 , 2017 Submission of camera-ready copy: April 05, 2017 Submission guidelines ------------------------- Authors can submit their papers in long or short version: Please submit the electronic version of your camera-ready paper through the COMMENCE conference management system (http://www.mldm.de/CMS/) If you have any problems with the system please do not hesitate to contact info(a)mldm.de. Long Papers Long papers must be formatted in the Springer LNCS format. They should have at most 15 pages. Papers will be reviewed by the program committee. Accepted long papers will appear in the proceedings book "Machine Learning and Data Mining in Pattern Recognition" published by Springer Verlag in the LNAI series. Extended versions of selected papers will be published in a special issue of an international journal after the conference. Short Papers Short papers are also welcome and can be used to describe work in progress or project ideas. They should have no more than 5 pages and must be also formatted in Springer LNCS format. Accepted short papers will be presented as posters in the poster session. They will be published in a special poster proceedings book. Papers will be submitted via the online reviewing system. Best Paper Award ---------------------- The best scientific paper is distinguished with a Best Paper Award. A outstanding contribution in the field of Machine Learning and Data Mining for Pattern Recognition will be awarded with the Best Paper Award. There will be three nominations for the Best Paper Award before the conference. All nominee will receive a certificate. The final decision of the Best Paper Award will be made based on the presentation and the discussion. The Best Paper Award will be a certificate and a prize money of 500 Euro for the research team. Tutorials ----------------------------------------- Data Mining Tutorial Prof. Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI, http://www.data-mining-forum.de/t_dm.php Case-Based Reasoning Tutorial Prof. Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI, http://www.data-mining-forum.de/t_cbr.php Intelligent Image Interpreation and Computer Vision in Mediceine, Biotechnology, Chemistry & Food Industry Prof. Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI, http://www.data-mining-forum.de/t_iicv.php Workshops (http://www.data-mining-forum.de/workshops.php) ---------------------------------------------------------------- * Intern. Workshop I-Business to Manufacturing and LifeScience B2ML 2017 * Intern. Workshop on Data Mining in Marketing DMM 2017 * Intern. Workshop Case-Based Reasoning CBR-MD 2017 * Intern. Workshop on Multimedia Forensic Data Analysis MFDA 2017 Exhibition ----------- 16th Industrial Exhibition on Intelligent Data and Image Analysis IEDA 2017 We like to invite you to present your company or publishing house at the Industrial Exhibition ieda 2017 (www.iedaexhibition.de) If you do not with to receive the newsletter, please press here http://ibai-institut-newsletter.de/cgi-bin/mail/manager.cgi? action=delete&email=pperner%40ibai-institut.de&group1=cbr.

1 0

Postdoc Position in Theoretical and Computational Neuroscience at UT Austin
by Taillefumier, Thibaud O Dec. 23, 2016

Dec. 23, 2016

The Neuroscience Department invites applications for a postdoctoral research position to work with Professors Ila Fiete (http://clm.utexas.edu/fietelab/) and Thibaud Taillefumier (https://mathneuro.cns.utexas.edu/) in the Center for Theoretical and Computational Neuroscience (CTNC) and in collaboration with a network of experimental collaborators at UT Austin. Research at CTNC broadly aims at developing new theoretical approaches to better understand how the brain computes. Candidates with a background in nonlinear dynamics, statistical physics, machine learning, or information theory are particularly welcome. Applicants should have a PhD in mathematics, physics, computational neuroscience or related computational fields. Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests, and should arrange for three letters of recommendation to be sent. All application materials as well as any inquiries should be sent to thibaud(a)utexas.edu<mailto:thibaud@utexas.edu> and ilafiete(a)mail.clm.utexas.edu<mailto:ilafiete@mail.clm.utexas.edu>. Salary starts at $47484 and will be commensurate to the candidate qualifications. UT Austin is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. Department of Neuroscience The University of Texas at Austin 100 E 24th Street Stop C7000 Austin, TX 78712 www.neuroscience.utexas.edu<http://www.neuroscience.utexas.edu>

1 0

Open position as an MEG physicist/engineer
by Jochem Rieger Dec. 22, 2016

Dec. 22, 2016

The newly founded Neuroimaging Center at the European Medical School of the University of Oldenburg, Germany, offers a position for an *MEG-Physicist/Engineer (salary level E13/TV-L, initially 3 years) * The Neuroimaging Center hosts a state of the art magnetoencephalograph (Elekta Triux) and a magnetic resonance tomograph (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment (e.g. the DFG Cluster of Excellence "Hearing 3 All") with a strong research focus on neurosensory, neurocognitive, and medical research. We seek for a highly motivated candidatewith an academic university degree. The position requires a degree in physics, engineering, neuroscience, or psychology with documented research experience in magnetoencephalography methods. In addition, fluency in English is necessary. A doctoral degree is a plus. German and experience in the design of neurocognitiveexperiments are desirable. Successful candidates will be responsible for the operation and administration of the MEG-system, the infrastructure, the development and improvement of measurement and analyses techniques and user consultancy. The University of Oldenburg is rapidly growing and offers a vibrant scientific environment with strong foci on cognitive and sensory neuroscience and a new medical school. The European Medical School is a cooperation project between the Universities of Oldenburg and Groningen as well as four local hospitals. Oldenburg is an attractive city in Germany's northwest with excellent quality of life. It is close to Bremen, Hamburg, Groningen, and approx. 1 h from the North Sea. The University of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, female candidates are particularly encouraged to apply and will be given preference in cases of equal qualification. Handicapped applicants will be given preference if equally qualified. Electronic applications (one pdf file) are preferred and can be send to: Professor Dr. Jochem Rieger: Jochem.rieger(a)uni-oldenburg.de Applications by mail should be sent to: Prof. Jochem Rieger Universität Oldenburg Kuepkersweg 74 (W30) 26129 Oldenburg Germany The application process is open until 31.1.2017. Applications should include your CV, a list of most recent publications, and a statement of interest (max. 3 pages). For inquiries contact jochem.rieger(a)uni-oldenburg.de

1 0

PhD studentship in 2P imaging and population coding
by Matthias Hennig Dec. 22, 2016

Dec. 22, 2016

A fully funded PhD studentship is available in the Precision Medicine DTP at Edinburgh: "Deficits and rescue of neuronal population coding in the sensory cortex of mouse models of autism spectrum disorders" This project will be jointly supervised by Nathalie Rochefort, Peter Kind (CIP, Edinburgh) and Matthias Hennig (Informatics, Edinburgh). The studentship is available to EU citizens. For more information, and to apply, go to: http://www.ed.ac.uk/usher/precision-medicine/how-to-apply/deficits-and-resc… For informal inquiries, please contact Nathalie Rochefort: n.rochefort(a)ed.ac.uk -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

1 0

Call for applications: SMART START - a joint training program in Computational Neuroscience for young researchers
by Smart Start Coordination Office Dec. 22, 2016

Dec. 22, 2016

Call for applications Ready for a SMARTSTART into Computational Neuroscience? We invite first and second-year Master students with a background in related fields to apply to our joint training program SMARTSTART. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. SMARTSTART consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. SMARTSTART 1 provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. SMARTSTART 2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master´s degree and are in the process of selecting a PhD project. SMARTSTART 2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both SMARTSTART programs will commence the second round in the winter term 2017/18. The Deadline for application is Tuesday, February 28, 2017. More information can be found on our website: www.smartstart-compneuro.de<http://www.smartstart-compneuro.de/> Best regards, Kathrin Hebert -- Smart Start - Joint Training Program in Computational Neuroscience Coordination Office Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9593 mail: smartstart(a)fz-juelich.de<mailto:k.hebert@fz-juelich.de> web: http://www.smartstart-compneuro.de/ Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…><https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

1 0

Announcing Okinawa/OIST Computational Neuroscience Course 2017
by Erik De Schutter Dec. 22, 2016

Dec. 22, 2016

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2017 Methods, Neurons, Networks and Behaviors June 26 to July 13, 2017 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 26th through July 13th, 2017 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 3 - February 5, 2017. Applicants will receive confirmation of acceptance in March. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Bard Ermentrout (University of Pittsburgh, USA) • Ila Fiete (University of Texas Austin, USA) • Sonja Grün (Research Centre Jülich, Germany) • Shin Ishii (Kyoto University, Japan) • Jason Kerr (MPI Bonn, Germany) • Bernd Kuhn (OIST) • Subkin Lim (NYU Shanghai, China) • Michele Migliore (Institute of Biophysics, Italy) • David Redish (University of Minnesota, USA) • Reza Shadmehr (Johns Hopkins University, USA) • Greg Stephens (OIST) • Yoko Yazaki-Sugiyama (OIST) • Charles Wilson (University of Texas San Antonio, USA)

1 0

[ECSQARU 2017] Second Call for Papers
by Alessandro Antonucci Dec. 21, 2016

Dec. 21, 2016

The Fourteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty SECOND CALL FOR PAPERS http://ecsqaru.idsia.ch The biennial ECSQARU conferences constitute a major forum for advances in the theory and practice of reasoning under uncertainty. Contributions come from researchers interested in advancing the scientific knowledge and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms. Previous ECSQARU events have been held in Marseille (1991), Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001), Aalborg (2003), Barcelona (2005), Hammamet (2007), Verona (2009), Belfast (2011), Utrecht (2013), and Compiègne (2015). ECSQARU 2017 will be co-located with ISIPTA '17, the Tenth International Symposium on Imprecise Probability: Theories and Applications. The joint event will be held in Lugano (Switzerland), on July 10-14, 2017. ::: SCOPE ::: For ECSQARU 2017 we invite submissions of conference papers on topics which include but are not limited to: - Algorithms for uncertain inference - Applications of uncertain systems - Argumentation systems - Automated planning and acting under uncertainty - Belief functions - Belief revision & merging - Classification & clustering - Decision theory & decision graphs - Default reasoning - Description logics with uncertainty - Foundations of reasoning under uncertainty - Fuzzy sets & fuzzy logic - Game theory - Imprecise probabilities - Inconsistency handling - Information fusion - Learning for uncertainty formalisms - Logics for reasoning under uncertainty - Markov decision processes - Possibility theory & possibilistic logic - Preferences - Probabilistic graphical models - Probabilistic logics - Qualitative uncertainty models - Rough sets - Uncertainty & data ::: INVITED SPEAKERS ::: We are delighted of having the following invited speakers: - Leila Amgoud (IRIT, France) - Alessio Benavoli (IDSIA, Switzerland) - Jim Berger (Duke University, USA) - Didier Dubois (IRIT, France) - Eyke Hüllermeier (Paderborn University, Germany) ::: PROCEEDINGS AND SUBMISSIONS ::: In accordance with the previous conferences, the proceedings of ECSQARU 2015 will be published in the Springer Lecture Notes in Artificial Intelligence series. Authors are requested to prepare their conference papers in the LNCS/LNAI format. Submitted papers will be evaluated by peer reviews based on originality, significance, technical soundness, and clarity of exposition. Authors of accepted papers are expected to attend the conference to present their work. The instructions for submission and the author kit are available here: http://ecsqaru.idsia.ch/submissions-ecsqaru/ ::: IMPORTANT DATES ::: - Tuesday, February 21, 2017: Paper submission deadline - Tuesday, April 18, 2017: Author notification - Friday, April 28, 2017: Camera-ready copy due ::: IJAR SPECIAL ISSUE ::: Authors of selected papers will be invited to submit an extended version of their work to a special issue of the International Journal of Approximate Reasoning (IJAR, Elsevier). ::: SPRINGER YOUNG RESEARCHER AWARD ::: We also invite applications for the Springer Young Researcher Award. The prize, granted by Springer, will be awarded to one young researcher for excellent research in fields related to the ECSQARU scope. The award is open to Master students, PhD students and young post-doc researchers who have received their PhD in 2016 (or 2017). Applicants should have submitted a paper (not necessarily as first authors) to ECSQARU 2017. Applications should be received by the paper submission deadline (February 21, 2017). _________________________________ 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 _________________________________

1 0

Call for Applications: ISSA Summer School 2017
by Yukie Nagai Dec. 21, 2016

Dec. 21, 2016

Call for Applications: ISSA Summer School 2017 https://groups.oist.jp/issa Date: May 22nd – June 2nd, 2017 Venue: Center for Information and Neural Networks (CiNet), Osaka, Japan https://cinet.jp/english/contact/ The Initiative for a Synthesis in Studies of Awareness, ISSA for short, is a group of scientists advocating an integrative approach to the study of consciousness and intelligence. ISSA will organize a two-week Summer School, with lectures covering a variety of topics in experimental and computational neuroscience, cognitive science, philosophy, complex systems, robotics and artificial intelligence. Following the lectures in the morning, students will engage in group disucussions and hand-on exercises in psychophysics, MRI, MEG, and robotics in the afternoon. First week: Fundamental lecturers and group discussions • Christof Koch (Allen Institute for Brain Science) • Ryota Kanai (ARAYA Brain Imaging, YHouse) • Larissa Albantakis (U Wisconsin-Madison) • Dan Zahavi (U Copenhagen) • Jun Tani (KAIST) Second week: Special topics and hands-on exercises • Kaoru Amano (CiNet) • Minoru Asada (Osaka U) • Kenji Doya (OIST) • Piet Hut (Institute for Advanced Study, ELSI, YHouse) • Hiroshi Ishiguro (Osaka U, ATR) • Shinji Nishimoto (CiNet) • Mariko Osaka (CiNet) • Nao Tsuchiya (Monash U) • Noriko Yamagishi (CiNet) Application: We invite graduate students and postdoctoral researchers to participate in the summer school. Organizers will provide lodging for all accepted students and travel support for selected students. The applications will be open till December 25, 2016 from the web site (https://groups.oist.jp/issa) The result of selection, based on the research interest, educational background, and the balance of gender and geographic origins, will be notified by February 2017. Co-Sponsors • Center for Information and Neural Networks (CiNet) • CREST Artificial Consciousness Project (leader: Ryota Kanai) • CREST Social Neuroscience Project (leader: Masahiko Haruno) • Earth-Life Science Institute (ELSI), Tokyo Institute of Technology • KAKENHI Mental Time Project (leader: Shigeru Kitazawa) • KAKENHI Artificial Intelligence and Brain Science Project (leader: Kenji Doya) • Okinawa Institute of Science and Technology (OIST) • YHouse (leaders: Piet Hut and Ryota Kanai) Web site: https://groups.oist.jp/issa Contact: Neural Computation Unit, Okinawa Institute of Science and Technology ncus (at) oist.jp — Yukie Nagai, Ph.D. Specially Appointed Associate Professor, Osaka University Visiting Researcher, Bielefeld University yukie(a)ams.eng.osaka-u.ac.jp http://cnr.ams.eng.osaka-u.ac.jp/~yukie/

1 0

The Fruit Fly Brain Observatory (FFBO)
by Aurel A. Lazar Dec. 20, 2016

Dec. 20, 2016

We would like to announce that we have released a unique open source platform for investigating fruit fly brain function, in both healthy and diseased brains. Our early version of the FFBO is at: http://fruitflybrain.org <http://fruitflybrain.org/> The Fruit Fly Brain Observatory (i) integrates within a single database, genetic, anatomical, neurophysiological data with computational models. It provides location, morphology, connectivity and biophysical properties of every neuron, (ii) is equipped with powerful executable tools for circuit generation, numerical simulation and user-friendly query and visualization, (iii) automatically generates models of the fly brain that can be simulated efficiently using multiple Graphics Processing Units. There are three main features of the FFBO: NeuroNLP, NeuroGFX and NeuroAPPs. NeuroNLP is natural language user interface for querying the NeuroArch fly brain database. NeuroGFX is a programming interface that automatically translates biological and modeling data into executable code that can be run on a local or cloud-based GPU servers. NeuroAPPs host integrated healthy and diseased models applications of the fruit fly brain. Our project The Fruit Fly Brain Observatory http://fruitflybrain.org <http://fruitflybrain.org/> is one of six finalists in the Open Science Prize Competition https://www.openscienceprize.org <https://www.openscienceprize.org/>. We are a collaborative effort between Columbia University, National Tsing Hua University in Taiwan, and University of Sheffield, UK. It would be great if you can let people know about the competition and get them to hopefully vote for us at http://event.capconcorp.com/wp/osp/ <http://event.capconcorp.com/wp/osp/> :-) Aurel http://www.bionet.ee.columbia.edu <http://www.bionet.ee.columbia.edu/>

1 0

[CALL FOR PAPERS ]The 2017 International Conference on Brain Informatics (BI'17)
by 张铁林 Dec. 19, 2016

Dec. 19, 2016

[CALL FOR PAPERS]The 2017 International Conference on Brain Informatics (BI'17), Informatics Perspective of Investigation on the Brain and Mind Conference Data: November 16-18, 2017, Beijing, China Conference Homepage: http://bii.ia.ac.cn/bi-2017/ Homepage Mirror: http://wi-consortium.org/conferences/bi-2017/ (FULL PAPER SUBMISSION DEADLINE: April 2, 2017) ================ ***Conference Introduction *** Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry or Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible bookpublication in the Springer-Nature Brain Informatics & Health book series. ================ *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing ================ *** Important Dates*** March 10, 2017: Submission for workshop/special-session proposals March 30, 2017: Notification of workshop/special-session proposal acceptance April 2, 2017: Submission deadline for full papers May 20, 2017: Submission deadline for workshop/special-session papers June 10, 2017: Notification of full paper acceptance June 20, 2017: Notification of workshop/special-session paper acceptance June 20, 2017: Submission deadline for abstracts July 10, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ================ *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708) Accepted papers from the conference, including their Best Paper Award papers, will be expended and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. ================ *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ================ *** Organizers*** General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng(Chinese Academy of Sciences, China) Yong He(Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Tielin Zhang (Chinese Academy of Sciences, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) ================ *** Contact Information *** tielin.zhang(a)ia.ac.cn shouyiw(a)uta.edu yang(a)maebashi-it.org ================ (END)

1 0

PhD positions at the University of Exeter: Developing gaze training for skilled upper-limb prosthetic use Ref: 2407
by Tsaneva-Atanasova, Krasimira Dec. 17, 2016

Dec. 17, 2016

About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2017. This project is part of a competition for funding. Usually the project which receives the best applicant will be awarded the funding. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Please note that of the 56 projects advertised we expect that up to 20 posts will be filled. Location: University of Exeter, Streatham Campus, Exeter, Devon Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Gavin Buckingham<http://sshs.exeter.ac.uk/staff/index.php?web_id=Gavin_Buckingham> (University of Exeter) Co-supervisor: Dr Sam Vine<http://sshs.exeter.ac.uk/staff/index.php?web_id=Samuel_Vine> (University of Exeter) Co-supervisor: Dr Greg Wood<http://www.cheshire.mmu.ac.uk/exspsci/ourstaff/profile/index.php?profile_id…> (Manchester Metropolitan University) Co-supervisor: Dr Mark Wilson<http://sshs.exeter.ac.uk/staff/index.php?web_id=Mark_Wilson> (University of Exeter) Project Description: Learning to use a prosthetic limb is inherently difficult and requires a huge amount of concentration. Like learning how to wield a new tool for the first time, amputees need to acquire the confidence and dexterity required for skilled action. In order to produce accurate goal-directed movements the motor system requires accurate and timely visual information making the timing and location of the person’s gaze, with relation to the movement of their limbs, critical for skilled behaviour. There is, however, no structured training protocol for use with prosthetic hands. We aim to develop a novel gaze training regime to facilitate the use of a prosthetic hand to skilfully interact with objects. In the first part of the project, the student will undertake an observational study to determine what factors lead some individuals to become skilled with a prosthesis faster than others. We will test large numbers of intact (i.e., without amputation) participants learning to use a state-of-the-art myoelectric prosthetic arm simulator, which is controlled by muscle feedback but ergonomically designed to fit over the wrist of an intact hand. Participants will move objects of different of sizes and weights from one location to another with a range of precision requirements and in the presence of a range of obstacles. Over multiple sessions we will measure hand and object kinematics, fingertip forces, and eye path with a head-mounted eye tracker. We will then develop a data-driven mathematical model of the eye tracking and biomechanical performance data. Statistical analysis of the patterns of eye movement will provide new insights into the ‘signature’ of good performance using the prosthetic arm. The second phase will use the data from Project 1 to develop a training protocol that will adopt the ‘expert signatures’ from project work 1 as a prototype for a trainee to follow. We will focus predominantly on the signature of expertise derived from the gaze behaviour measures and implement a gaze training protocol. We will then test the efficacy of this novel training with new set of intact participants using the prosthetic simulator, tracking their performance in comparison to individuals who will receive a sham training protocol. In the final stage of the project work, the gaze training protocol will be used in a sample of upper-limb-amputees as they learn how to use their new prosthesis. As this state of the project will not be limited to myoelectric prosthetic users, this will also allow us to test the generalizability of our training protocol. The students will be involved in these experiments by running model simulations and data analysis to provide quantitative information for the training protocol as well as focussing on completing the write-up of their PhD thesis. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes. If you have not resided in the UK for at least 3 years prior to the start of the studentship, you are not eligible for a maintenance allowance so you would need an alternative source of funding for living costs.To be eligible for fees only funding you must be ordinarily resident in a member state of the EU Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Number of awards: 1 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year Duration of award: per year Contact: Doctoral College Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

1 0

PhD positions at the University of Exeter: Controlling noise effects in models of excitable cells
by Tsaneva-Atanasova, Krasimira Dec. 17, 2016

Dec. 17, 2016

About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2017. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Jan Sieber<http://emps.exeter.ac.uk/mathematics/staff/js543> (University of Exeter) Co-supervisor: Dr Joël Tabak<http://medicine.exeter.ac.uk/about/profiles/index.php?web_id=Joel_Tabak-Szn…> (University of Exeter) Location: University of Exeter, Streatham Campus, Exeter, Devon Project Description: This is a project that combines biological modelling and general mathematical analysis of the influence of noise on multiple-timescale systems. It will give the student the opportunity to work on open mathematical questions and see their results applied in experiments on living cells. Many types of cells such as neurons, heart and hormone-releasing cells generate impulses of electrical activity, organized as single spikes or bursts of impulses. In cells of the pituitary gland – the master hormonal gland of the body – the features of electrical activity patterns determine how much hormone is released into the circulation. Hence, understanding how the characteristic features of electrical activity arise is crucial to understanding how these cells function, and how they may malfunction in disease. Mathematical modelling and analysis techniques have proven very successful in helping unravel fundamental mechanisms controlling the behaviour of excitable cells. Electrical activity is driven by the interactions between ion channels of the cell membrane, which produce noisy electrical currents. The mathematical models of electrical activity thus contain random and deterministic parts, which typically appear as separate terms (e.g., the deterministic drift and the Brownian-motion induced diffusion in stochastic differential equations). In experimental practice this distinction is not as clear. For example, ion channels in cells with electrical activity generate noisy signals, driving systematically the electrical and chemical activity in the cell, which operate also on several time scales. It is still unclear how this randomness influences electrical activity in real cells. This PhD project will investigate how one can use control to identify the systematic (deterministic) component of trajectories in dynamical systems with random inputs (such as ion channel noise) that operate on two or three different time scales (such as spiking or bursting cells). A first goal to separate a systematic, approximately periodic, signal without knowledge of the period using control and geometric methods in a reconstructed phase space. Preliminary investigations with noise on a single time scale interacting with a two-timescale oscillation (spiking) have shown that this is in principle possible. It is an open question how this can be generalized to periodic behaviours with a more complicated geometry (such as bursting), interacting with noise effects that occur on two time scales. Another open question is how the geometric control and noise identification is related to extended time-delayed feedback, which creates a reference signal from a geometric time series of past outputs. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes; however up to 9 fully-funded studentships across the DTP are available for EU/EEA applicants not ordinarily resident in the UK. Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year. Duration of award: per year Contact: Doctoral College: 01392 722737 doctoral.college(a)exeter.ac.uk<mailto:doctoral.college@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics Living Systems Institute University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

1 0