June 2015 - Comp-neuro - lists.cnsorg.org

Reminder: Summer school on nonlinear methods, application deadline 10th of July
by Michael von Papen 30 Jun '15

30 Jun '15

Dear all, This is a reminder for the upcoming Cologne Summer School on non-linear analysis methods for master's degree and PhD students. Deadline for applications is 10th of July, 2015. ------------------------------------------------------------------- Cologne Summer School 2015: *Non-Linear Methods for Complex Systems Analysis* Date: Mon-Fri 28.09-02.10.2015 Location: *University of Cologne*, Germany ------------------------------------------------------------------- This one-week summer school brings together *master's degree and PhD students from international universities* for an interdisciplinary hands-on learning experience. The workshop will introduce non-linear analysis methods using the Python toolbox pyunicorn. With the techniques presented in the summer school, such as complex networks and phase space concepts, the students will be able to characterize highly complex systems. Such systems are frequently encountered, e.g., in *biology, chemistry, economics, geoscience, neuroscience, and physics*. Lectures and computer labs will be led by Dr. Reik Donner and Marc Wiedermann from the Potsdam Institute for Climate Impact Research. For the complete program visit *complexsystems.uni-koeln.de/summerschool.html*. The application deadline is 10.07.2015. The summer school is organized by the Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne. Contact: Dr. Michael von Papen (/vonpapen(a)geo.uni-koeln.de/) ------------------------------------------------------------------- *Information* The Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne hosts a summer school to introduce novel and groundbreaking methods for the analysis of scientific data. For this matter, we bring together master's degree and PhD students from the University of Cologne and from international universities for an interdisciplinary learning experience. The aim of the summer school is not only to teach new analysis methods, but also to foster scientific collaboration and discussion between students of different fields of study. This year, the summer school of the Competence Area 3 will introduce non-linear analysis methods to study highly complex systems, which cannot be sufficiently characterized with linear methods. Such systems are frequently encountered, e.g., in biology, chemistry, economics, geoscience, neuroscience, and physics. The one-week summer school will take place from Monday to Friday, September 28 - October 2, at the University of Cologne, Germany. The strongly interdisciplinary hands-on course consists of lectures and computer labs and will provide the students with novel analysis techniques and concepts. Amongst others, the workshop will cover topics such as detrended fluctuation analysis, complex networks, scaling analysis, synchronization, transfer entropy, and causality, which help to characterize systems that are governed by non-linear processes. The summer school is led by *Dr. Reik Donner and Marc Wiedermann* from the *Potsdam Institute of Climate Impact Research* based on their lectures at the Humboldt University, Berlin, and their popular short-courses at the European Geosciences Union General Assembly. They will introduce the Python toolbox /pyunicorn/ for non-linear analysis along with prominent examples of modern analysis frameworks highlighting the methodological variety of complex systems based data analysis (see program below). The techniques that are taught in the summer school will be illustrated by applications to real-world data from different fields of study. The course materials will be made available to the participants after the course, including example codes for the platform-independent open-source software Python and the toolbox pyunicorn. The course will be held in English. For questions, please contact Mitch von Papen (vonpapen(a)geo.uni-koeln.de) *Program* The summer school consists of approximately the same amount of lectures and computer labs. During the lectures, the basics of the analysis methods are explained. Subsequently, these methods are applied to synthetic and real-world data in computer labs. The students work on a project in small groups and present and discuss their results at the end of the workshop. The students are introduced to the concepts of several non-linear analysis methods and will gain experience in applying the toolbox pyunicorn as well as in interpreting the results. Ideally, the summer school will enable the students to use the learned techniques on their own scientific data after the summer school. The approximate schedule for the summer school is given below. Note however, that changes may occur due to group dynamics. /Monday, September 28th/ 09:00 a.m. | Lecture 1: Introduction - linear vs. non-linear methods, Stationarity, uni- and multivariate correlation analysis, classical early warning methods, non-linearity tests and surrogate data 11:00 a.m. | Lecture 2: Long-range dependence and scaling analysis, Persistence and anti-persistence, power spectrum, Hurst exponent, detrended fluctuation analysis 02:00 p.m. | Tutorial 1: Introduction to Python, Why Python in science?, important packages for scientific computing, common data types, structure of pyunicorn 04:00 p.m. | Tutorial 2: Assignment of group projects, (6 groups a 5 persons) 07:00 p.m. | Social get-together at local brewery /Tuesday, September 29th/ 09:00 a.m. | Lecture 3: Introduction to complex networks, Mathematical representation of networks, structural network characteristics, basic network models, identification of power-laws, interconnected and multi-layer networks 11:00 a.m. | Lecture 4: Inferring networks from data, Functional network analysis (correlation networks, examples from climatology, neurophysiology and economics), visibility graphs 02:00 p.m. | Tutorial 3: tbd 04:00 p.m. | Tutorial 4: tbd /Wednesday, September 30th/ 09:00 a.m. | Lecture 5: Information theory and entropy, Basic concepts, Shannon-, Renyi- and Tsallis-entropies as statistical quantifiers, Kolmogorov-Sinai (source) entropy and estimation via block entropies, order patterns and permutation entropy, mutual information, transfer entropy and causality, independent component analysis 11:00 a.m. | Lecture 6: Synchronization, Definition and types of synchronization, phase synchronization: order parameters and phase dynamics from data, generalized synchronization 02:00 p.m. | Tutorial 5: tbd 04:00 p.m. | Tutorial 6: tbd /Thursday, October 1st/ 09:00 a.m. | Lecture 7: Phase space concepts, Phase space of dynamical systems, embedding, fractal dimensions, correlation integral and relation with entropies, entropy estimates from embedded data 11:00 a.m. | Lecture 8: Recurrence analysis, Recurrence in phase space; recurrence plots, quantification analysis and networks; multivariate generalizations; applications: synchronization analysis, coupling direction 02:00 p.m. | Tutorial 7: tbd 04:00 p.m. | Tutorial 8: tbd /Friday, October 2nd/ 09:00 a.m. | Presentation and discussion of projects 1-3 from the tutorials 11:00 a.m. | Presentation and discussion of projects 4-6 from the tutorials 02:00 p.m. | Open discussion: Outlook on contemporary developments in the field 03:30 p.m. | End of day 5: Farewell -- ------------------------------------------ UNIVERSITY OF COLOGNE Institute of Geophysics & Meteorology Coordinator of Competence Area III: Quantitative Modeling of Complex Systems Dr. Michael von Papen Pohligstr. 3 (R 3.224) 50969 Cologne Tel.: +49 (0)221 470-2841 Email: vonpapen(a)geo.uni-koeln.de http://complexsystems.uni-koeln.de

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Postdoctoral Positions in Computational Neuroscience at Sandia National Laboratories
by Chance, Frances S. 29 Jun '15

29 Jun '15

Colleagues, We are seeking postdoctoral researchers to join an interdisciplinary research program focused on understanding neural computation at the circuit level. Example research topics of interest include computational models of visual cortex, neural circuitry underlying perception, and the neural basis of decision-making. Candidates should have a strong background in neuroscience, and an interest in understanding of relations between neuroscience, cognitive science, and computation. Experience or familiarity with related machine-learning fields is also desired. Our department is part of a highly interdisciplinary community of researchers with interests spanning systems neuroscience and brain-inspired computing, engineering, and computer science. Successful applicants will be expected to conduct high-quality research, maintain a successful publication record in peer-reviewed journals, and develop collaborations with this vibrant and growing community. This position is located at Sandia's Albuquerque, NM, USA site. To view the full job advertisement and to apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Go to the Advanced Search, then search for Job Opening ID 650197. Please contact Frances Chance (fschanc(a)sandia.gov<mailto:fschanc@sandia.gov>) or Brad Aimone (jbaimon(a)sandia.gov<mailto:jbaimon@sandia.gov>) with any questions.

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Computational Neuroscience Positions at Sandia National Laboratories
by Chance, Frances S. 29 Jun '15

29 Jun '15

Colleagues, We are seeking computational neuroscientists to join an interdisciplinary research program focused on understanding neural computation at the circuit level. Preference will be given to candidates using computational approaches, broadly defined, to understand visual cortex and perception, but we welcome applicants from all areas of computational neuroscience. Example research topics of interest include computational models of visual cortex, neural circuitry underlying perception, and the neural basis of decision-making. Candidates should have a strong background in neuroscience, and an understanding of relations between neuroscience, cognitive science, and computation. Experience or familiarity with related machine-learning fields is also desired. Our department is part of a highly interdisciplinary community of researchers with interests spanning systems neuroscience and brain-inspired computing, engineering, and computer science. Successful applicants will be expected to conduct high-quality research, maintain a successful publication record in peer-reviewed journals, and develop collaborations with this vibrant and growing community. Staff members at Sandia are expected both to contribute to ongoing projects and to develop new lines of research with potential for application in solving complex problems. This position is located at Sandia's Albuquerque, NM, USA site. Multiple positions for varying levels of experience are available. For more information and to apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Go to the Advanced Search, then search for Job Opening ID 650198. For questions please contact Frances Chance (fschanc(a)sandia.gov<mailto:fschanc@sandia.gov>) or Brad Aimone (jbaimon(a)sandia.gov<mailto:jbaimon@sandia.gov>).

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Workshop on "Spike Initiation: Models & Experiments" at CNS2015 - 22/7/2015, Prague
by Giugliano Michele 29 Jun '15

29 Jun '15

Apologies for cross-posting. We would like to announce the following event ---------------------------------------------------------------------------------------------------------------- Workshop on "Spike Initiation: Models & Experiments"<http://www.namasen.net/drupal/sites/CNS2015Workshop/CNS2015_Workshop_-_Spik…> as part of the CNS2015<http://www.cnsorg.org/cns-2015-prague> programme July 22nd, 2015, Prague, Czech Republic ---------------------------------------------------------------------------------------------------------------- The workshop gathers leading experimentalists and theoreticians to discuss a pivotal element for our quantitative understanding of neuronal excitability: the initiation of action potentials. Phenomenological, electrophysiological, and computational aspects of spike initiation will be discussed by addressing the following questions: · What models can quantitatively account for experimental observations? · How is spike initiation regulated at different time scales? · What is the role of the various ionic channels expressed in the axonal initial segment? · What is the significance of neuronal morphology and spatial distribution of channels? · What are the functional consequences of spike initiation properties? The workshop is organised as a symposium of the CNS2015 conference<http://www.cnsorg.org/cns-2015-prague> (see here<http://www.cnsorg.org/cns-2015-workshops-program>). Organizers: Romain Brette, Ecole Normale Supérieure, Paris, France, Michele Giugliano, University of Antwerp (UA), Wilrijk, Belgium. Speakers: Romain Brette, Ecole Normale Supérieure, Paris, France, Martina Michalikova, Humboldt-Universität zu Berlin, Berlin, Germany. Andreas Neef, Max Planck Institute for Dynamics and Self-Organization, Goettingen, Germany. Florence Cotel, The University of Queensland, Brisbane, Australia. Michele Giugliano, University of Antwerp (UA), Wilrijk, Belgium. Maarten Kole, Netherlands Institute for Neuroscience, Amsterdam, Netherlands. Christian Pozzorini, EPFL, Lausanne, Switzerland. Nadim Farzan, Federated Dept Biological Sciences, NJIT & Rutgers Univ, Newark, USA. William Spain, Washington University, Seattle, Washington, USA. Find more information online: http://www.frontiersin.org/events/Spike_Initation_Models__Experiments/3036 Michele Giugliano and Romain Brette — Michele Giugliano, PhD Dept. of Biomedical Sciences University of Antwerp Campus Drie Eiken (CDE) - D.T.657 Universiteitsplein 1, B-2610 Wilrijk (Belgium) url: http://www.uantwerpen.be/michele-giugliano

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Early bird registration extended: Swinburne Brain Imaging Symposium 2015: Principles and Applications of Magnetoencephalography
by David Liley 29 Jun '15

29 Jun '15

EARLY BIRD REGISTRATION EXTENDED TO 26th July 2015 Swinburne University of Technology in Melbourne, Australia, is hosting a workshop to promote the unique capabilities of magnetoencephalography for basic and clinical research and clinical decision making. Running over two days from 29 to 30 July 2015 it will feature invited talks from some of the fields most important research leaders and a MEG data analysis hands-on computer workshop. Invited Speakers: Mark Woolrich (Oxford) Krish Singh (Cardiff) Vladimir Litvak (UCL) Suresh Muthukumaraswamy (Auckland) Blake Johnson (Macquarie) In addition to the keynote speakers and computer workshop there will also be an open poster session for registrants to present their work in any of the following or related thematic areas: magnetoencephalography, electroencephalography, clinical monitoring, neuroimaging, TMS, tDCS, tACS or brain-computer interfaces Poster abstract submission deadline: CLOSED Invited Symposia & Cocktail Poster Session – 29-30 July 2015: Early bird registration: full: AU$300; Student/Post-docs: AU$80. Early bird registration deadline: 26th July 2015. Standard registration: full: AU$450; Student/Early Career Researcher: AU$120. Hands-on MEG Data analysis workshop (spaces limited to 30) – 30 July afternoon: SOLD OUT For further information on the invited speakers as well as the preliminary workshop program, and how to submit abstracts and register visit: http://www.research.swinburne.edu.au/our-research/events/neuroimaging-sympo… Please forward this notice to anyone that you think might be interested. On behalf of the organizing committee David Liley, MBChB, PhD Brian Cornwell, PhD Email: megsymposium(a)swin.edu.au<mailto:megsymposium@swin.edu.au> --------------------------- Prof David Liley Brain and Psychological Sciences Research Centre Swinburne University of Technology P.O. Box 218 Hawthorn VIC 3122 Australia ph: +61 3 9214 8812<tel:%2B61%203%209214%208812>

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Fully funded PhD position available at Ulster University (UK), in Brain-inspired Self-repairing Electronic Systems.
by Harkin, Jim 28 Jun '15

28 Jun '15

A fully funded PhD position is available at the Intelligent Systems Research Center, Ulster University, UK, in Brain-inspired Self-repairing Electronic Systems. Background Applications are invited for a PhD studentship in Brain-inspired Self-repairing Electronic Systems. The proposed PhD project work is part of the recently funded 3½ year EPSRC project ‘SPANNER’ (EP/N00714X/1) which investigates the development of brain-inspired self-repairing systems, and is in collaboration with the Department of Electronics, University of York. The PhD project will build upon existing investigations at Ulster into the development of highly reliable, large-scale computing systems, where hardware building block have been developed to support brain inspired hardware architectures. In particular, at Ulster we have shown that astrocyte cells interact with neurons to detect when a fault has occurred in the connections making up a network of neurons. We have also developed computer models that demonstrate not only how faults are detected but also how the brain performs repairs. The proposed PhD project will investigate the development of a novel self-repair strategy for computing systems. The concept will explore current thinking on how the human brain performs repair using “astrocyte” cells (glia cells), and will explore how the key principle of this mechanism can be used in the context of electronic systems to provide a novel repair strategy in hardware. Currently an existing software model of a self-repairing astrocyte-neuron network is available and this will be an initial functional specification for the self-repairing hardware strategy. The key research aim is to use the software model of the astrocyte-neuron network and explore how to effectively and efficiently map it to FPGA hardware. Synapse and neuron building blocks for FPGAs have been demonstrated by the Ulster team and will be initially used in the hardware design. The research will look to optimise the FPGA implementation for scalability and this will include the design of astrocyte cells, 3-terminal synapses and interconnectivity between cells, synapses and neurons. An FPGA-based implementation of a demonstrator will be explored to showcase the levels of resilience to injected faults. The successful candidate will be located at the Intelligent Systems Research Centre on the Magee campus of the Ulster University however, aspects of the work will require short research visits to collaborate with project partners at the University of York. Requirements Candidates should hold, or expect to hold a first or upper second class honours degree in Electronic/Electrical Engineering, Computer Engineering, Computer Science or a cognate area. Applications will be considered on a competitive basis with regard to the candidate’s qualifications, skills experience and interests. Successful candidates will enrol as of 1st October 2015, on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy. Award The studentship will comprise fees and an annual stipend of £14,057. It will be awarded for a period of up to three years subject to satisfactory progress and is tenable in the Faculty of Computing and Engineering. Further Information If you wish to receive further information please contact: Dr. Jim Harkin (jg.harkin(a)ulster.ac.uk<mailto:jg.harkin@ulster.ac.uk>) Procedure For more information on applying go to www.ulster.ac.uk/research<http://www.ulster.ac.uk/research> Apply online via www.ulster.ac.uk/applyonline<http://www.ulster.ac.uk/applyonline> Closing date and interviews The closing date for receipt of completed applications is 10th July 2015. Interviews will be held in July 2015. ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Post-doctoral research position in vision and memory (I2R, Singapore)
by Cheston Tan 27 Jun '15

27 Jun '15

We are seeking an exceptional postdoctoral researcher in visual recognition, learning and memory. The position is available immediately, at the Institute for Infocomm Research (I2R) in Singapore. The project is part of a large multidisciplinary grant (PI: Prof. Tomaso Poggio of MIT) involving multiple universities and research institutions in Singapore (SBIC/CIRC, Duke-NUS Medical School, NUS/NUH, NTU, SINAPSE). The candidate will work on visual recognition, learning and memory algorithms with a strong multidisciplinary team at I2R, and with Prof. Poggio. Collaborators include Prof. Brown Hsieh (Duke-NUS Medical School), Prof. Gabriel Kreiman (Harvard Medical School), Prof. Zhao Qi (National University of Singapore) and Dr. Demis Hassabis (Google/DeepMind). Candidates must have a PhD in computer science, neuroscience, engineering, psychology or related fields. Strong programming and quantitative skills are required. Candidates must be proficient in spoken and written English. Interest in biologically-inspired approaches preferred. The appointment will be for up to 2 years (possibly with extension), with internationally-competitive salaries and benefits. Other benefits include: - Funding for international conferences and training courses - Collaboration opportunities with an excellent network of international scientists - Opportunities for attachments at MIT and the Center for Brains, Minds and Machines (http://cbmm.mit.edu/) Interested candidates should send a CV, statement of research interests and three references to Dr. Cheston Tan (cheston(a)alum.mit.edu) Position will be open until filled; send applications sooner rather than later if interested. More information: - Dr. Cheston Tan: http://www.mit.edu/~cheston/CV_short.pdf - Dr. Lim Joo-Hwee: http://www.i2r.a-star.edu.sg/profile/dr-lim-joo-hwee - Institute for Infocomm Research: http://www.i2r.a-star.edu.sg/ - Working in Singapore: http://www.contactsingapore.sg/professionals/why_singapore/

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ICDM Workshop HealthMining 2015 and HISS Special Issue (Deadline: July 20, 2015)
by william 27 Jun '15

27 Jun '15

[Please accept our apologies if you receive multiple copies of this email] CALL FOR PAPERS HEALTHMINING 2015 - The ICDM Workshop on Data Mining and Decision Analytics on Public Health and Wellness (URL: http://www.comp.hkbu.edu.hk/~healthmining2015/) In conjunction with the IEEE International Conference on Data Mining (ICDM 2015) AIMS and SCOPE For many years, data mining and decision analytics techniques have already been extensively applied to various domains, such as smart environments, social networks, marketing, and web technology. The focus of this workshop is mainly on the issues and challenges of data mining techniques with the purpose of improving human well-being and quality of life. It is expected that the workshop may increase the diversity of application areas that can benefit from data mining. At the same time, it is also desirable that the discussion and vision of this workshop would also offer further insights into, as well as new tools for, the issues of data collection, processing, system modeling, simulation and optimization arising from various public health topics. The objective of this workshop is to serve as a venue for researchers to discuss how data mining and analytics methods can contribute to improving public health quality in clinical, medical/biomedical, and healthcare systems in smart ways, including evidence-based medicine, personalized treatment and healthcare, assistive technology and active surveillance and control of diseases. In addition to mining statistical regularities, associations, or causalities from large-scale health-related datasets, it would be more desirable to further investigate how the results can effectively and efficiently support decision-making, system modeling, optimization, and simulation in various healthcare systems. TOPICS OF INTEREST - Large-scale data acquisition and management issues for public health - Social and other network-based analysis for public health - Medical big data mining and innovative applications - Mining risk patterns in medical data - Mental and physical health data integration - Biomarker discovery and biomedical data mining - Clinical data mining for practice knowledge building - Data mining from clinical decision-making, and practitioner reflection - Data mining from genetic data of diseases - Data mining for disease profiling and personalized treatment - Data mining for (active) syndromic surveillance - Data mining for infectious/chronic disease epidemiology and control - Data mining for exploring hidden patterns in clinical systems - Data mining for medical/biomedical, and healthcare systems - Data mining for assistive environments - Data modeling and information management for pervasive assistive environments - Data mining and knowledge modeling for wellness - Spatiotemporal data exploration and mining of diseases - Unstructured data mining in medicine and healthcare - Semantic data mining in medicine and healthcare - Scalable data integration in medicine and healthcare - Evidence-based decision-support systems - Healthcare knowledge abstraction, classification, and summarization - Healthcare knowledge computerization, execution, inference, and representation >>> SPECIAL ISSUE <<< Selected papers of the workshop will be invited for revision to be included in a special issue to be published in Health Information Science and Systems (URL: http://www.hissjournal.com/) IMPORTANT DATES - Paper Submission Due: Jul 20, 2015 - Paper Notification Date: Sep 1, 2015 - Workshop Date: Nov 13, 2015 ORGANIZING COMMITTEE - William K. Cheung, Hong Kong Baptist University, Hong Kong - Jiming Liu, Hong Kong Baptist University, Hong Kong - Parisa Rashidi, University of Florida, USA - Fei Wang, University of Connecticut, USA -- Dr. William K. Cheung Associate Professor and Associate Head CS Dept, Hong Kong Baptist University http://www.comp.hkbu.edu.hk/~william Tel: (+852) 3411-5965 Fax: (+852) 3411-7892 "A happy heart makes the face cheerful, but heartache crushes the spirit." --- Proverbs 17:22 Department of Computer Science: http://www.comp.hkbu.edu.hk HKBU Faculty of Science: http://www.sci.hkbu.edu.hk Disclaimer: http://www.comp.hkbu.edu.hk/disclaimer Department of Computer Science: http://www.comp.hkbu.edu.hk HKBU Faculty of Science: http://www.sci.hkbu.edu.hk Disclaimer: http://www.comp.hkbu.edu.hk/disclaimer

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Fully funded PhD position in Neural Learning / Robotics / Evolutionary Neural Networks
by Andrea Soltoggio 25 Jun '15

25 Jun '15

A fully funded PhD position is available at the Deep Automation, Learning and Evolution Lab at Loughborough University, UK, on the topics of Neural Learning / Robotics / Evolutionary Neural Networks. Loughborough University is ranked 11th in the 2016 UK League Table Ranking (http://www.thecompleteuniversityguide.co.uk/loughborough/performance , and is located in Loughborough, a town well connected to London by a 1h20m journey by train. Research. The focus is on developing new neural learning algorithms with possible applications to a variety of automation and machine learning problems, e.g. vision, robotics, autonomous vehicles, manufacturing technology. We seek an outstanding candidate, capable of defining their own research project and bringing novel ideas and initiatives to the lab. Working environment. The student, based at the Computer Science Department, School of Science, will have access to a number of robotic platforms, from humanoid robots, to UAVs and a number of industrial and service robots, as well as a High Performance Computing cluster and GPUs. Interdisciplinary research is encouraged across laboratories, including Aeronautical and Automotive Engineering, the Intelligent Automation Lab, and the Centre for Information Management. The research group collaborates with leading national and international industrial partners. Requirements. The ideal candidate holds (or is about to obtain) a first-class honour undergraduate/postgraduate degree (or equivalent) in Computer Science, Mathematics, Statistics, Electrical or Electronic Engineering, or has authored publications in recognised conferences/journals. Independent working skills are valued as well as the capability of working in a team. Collegiality and interpersonal skills are essential. Excellent English language skills are highly desired (see requirements here http://www.lboro.ac.uk/international/englang/index.htm) Period/Scholarship. Start: October 2015. Duration: 3 years. Scholarship: £14,057 per annum plus tuition fees at the UK/EU rate (currently £4,052 p.a.) Enquiries and applications. Interested candidates are invited to establish a preliminary contact with me (a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk>), possibly including a CV, the names and addresses of two referees, and a statement of research interest (maximum 300 words), before submitting the full application at http://www.lboro.ac.uk/study/apply/research/ Best regards, Andrea Soltoggio -- Dr. Andrea Soltoggio Lecturer in Artificial Intelligence Department of Computer Science and Centre for Information Management (CIM) School of Business and Economics Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Phone: +44 (0) 1509 635748<tel:%2B44%20%280%29%201509%20635748> Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

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Job: Post-doctoral Scientist - Investigating the Feasibility of Controlling Hearing-aid Directionality Using In-Ear Electrodes to Measure Eye Position.
by Bernd Porr 25 Jun '15

25 Jun '15

Dear all, this is something for somebody who has a strong background in signal processing / biomed signal processing. If interested please contact Owen Brimijoin <owen(a)ihr.gla.ac.uk>. Best /Bernd Porr -------------------------------------------------------------------- Salary: £27,084 – 29,567 Grade: MRC - 4a Contract Type: Fixed Term, 24 months Hours: Full Time Closing Date:31 July 2015 Interview Date: 26 August 2015 The successful applicant will be based at the MRC/CSO Institute of Hearing Research (IHR) in Glasgow within the Auditory Disability and Impairment group headed by Dr William Whitmer. The successful applicant will join a small group of researchers but will work most closely with Drs Owen Brimijoin (IHR), Bernd Porr (Glasgow Uni), and Graham Naylor (Oticon) on a project investigating the feasibility of using in-ear measurements of eye position to guide hearing aid directionality. The project will use electrooculograms (EOG), optical eye and head tracking, digital signal processing, microphone arrays, as well as our extensive audiological and auditory testing facilities. Your work will consist of writing signal-processing algorithms to combine the output of an EOG amplifier, gyroscopes, and other extra-cochlear signals to yield a reliable measure of eye position that can be used to aim the directional beam of an experimental hearing aid. The work will continue with implementing these algorithms in Matlab and/or C, designing experiments to test benefit, statistical analysis of results, and delivery of these results for dissemination (conference abstracts and presentations, invited lectures and seminars, and published manuscripts in specialized and generic journals). -- http://www.berndporr.me.uk http://www.linux-usb-daq.co.uk http://www.imdb.com/name/nm3293421/ +44 (0)7840 340069

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