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Data Engineer at Columbia University's Zuckerman Mind Brain Behavior Institute
by Rajendra Bose Dec. 1, 2017

Dec. 1, 2017

Columbia University's Mortimer B. Zuckerman Mind Brain Behavior Institute (Zuckerman Institute) is seeking a highly motivated individual with strong software engineering skills, some familiarity with machine learning, and an interest in neuroscience and teaching to facilitate data analysis and sharing across 10 laboratories <https://zuckermaninstitute.columbia.edu/columbia-s-zuckerman-institute-awar…> investigating the computational and circuit mechanisms underlying motor control. For more information and to apply, see: https://zuckermaninstitute.columbia.edu/data-engineer Thank you— Raj Rajendra Bose, Ph.D. Director, Research Computing Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University Tel: 212-851-2918 http://zuckermaninstitute.columbia.edu

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Real World Eye Tracking course 2018 - booking now open
by Durant, Szonya Nov. 27, 2017

Nov. 27, 2017

We are pleased to announce that booking for the Real World Eye Tracking Course April 16 +17, 2018 at Royal Holloway, University of London, is now open. This course is supported by the BBSRC and is accredited by the Market Research Society (counting for 12h Continued Professional Development). It is run jointly by the Dept. of Psychology, Royal Holloway and Acuity Intelligence Ltd. Why do you need to know about eye tracking? >From glasses you can use almost anywhere to laptops with them built-in and now augmented and virtual reality headsets - eye tracking is everywhere! But not all eye trackers are created equal, and to get the best out of this technology you need look around. Whether for simply knowing where a person looks or understanding cognitive states in high pressure environments, this is a technology you can't afford to ignore. Why we run this course We believe you need some theoretical background to get the most out of eye-tracking, but we also recognise the value that comes from the hands-on experience of designing, running and analysing real studies. Our aim is to give you the confidence to dive in and save you from drowning when you do! No other course offers this range of cutting edge multi-platform systems in one place, without a sales-person in sight! Try things out, and see the results for yourself. What you will learn How to justify your use of eye tracking methods and understand the evidence they provide Where to find further information when running your own projects How to choose the right tools and begin running your own project How to get the most out of your research through good design and great analysis Course content The course contains a mix of interactive lectures and small team project work supervised by an expert in the field. All attendees will experience running an eye tracking project from start to finish. You will also get to chat with experts and develop a feel for issues, independent of hardware and software platforms, from various research applications. Please see further details on https://www.royalholloway.ac.uk/psychology/research/eyetracking.aspx or book directly on https://www.eventbrite.com/e/real-world-eye-tracking-course-tickets-3969635… Please note, places often sell out quickly! We look forward to welcoming you in April! Best wishes Szonya Durant (RHUL) Tim Holmes (AI Ltd) ********************************************************************** Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

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Postdoctoral Researcher at MPI Leipzig
by Thomas Knoesche Nov. 27, 2017

Nov. 27, 2017

Dear colleagues, the Max-Planck-Institute for Human Cognitive and Brain Sciences (MPI-CBS, Leipzig, Germany) in seeking a Postdoctoral Researcher for a period of 3 years. The position is part of a collaboration between the Pompeu Fabra University at Barcelona, (G. Deco) and the MPI-CBS (A.D. Friederici, A. Anwander, T.R. Knösche), entitled "The Dynamic Connectome Underlying Language in the Brain" financed by the DFG priority program “Computational Connectomics”. You will work in a multidisciplinary team of computational and cognitive neuroscientists, imaging experts, biomedical engineers, neurologists, etc. The MPI-CBS offers excellent research facilities and prime imaging equipment (including 7T and CONNECTOM scanners). Project Description The neural language network is well described by systematic neuroscientific studies and may serve as an example for large scale cognitive networks within the human connectome. Important parameters of dynamic network models concern the structural/effective connectivity between brain areas. These connections are realized by bundles of axons with variable density, myelination status, and diameters. This results in complex transfer behavior, which is likely to have a profound influence onto the dynamics of the entire network. We plan to (i) establish a mathematical model for the transfer function between brain areas through fiber bundles, (ii) parameterize this model with individually measured white matter microstructure (acquired partly using novel high-gradient MR technology – CONNECTOM) and general data from the literature, (iii) incorporate this model into a dynamic network model (iv) explore the effect of the parameters onto the dynamics of canonical network architectures, (v) validate the model with electrophysiological calibration experiments, and (vi) use it to establish relations between language function and microstructural properties of brain tissue. The successful applicant should have a strong background in Computational Neuroscience, preferably including a PhD thesis in that area. Experience with modeling dynamic systems in neuroscience is necessary. A fair degree of neurobiological and neuroimaging understanding will be an advantage. Remuneration is based on the payscale of the Max Planck Society. The Max Planck society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Please submit your application via our online system at http://www.cbs.mpg.de/vacancies (using subject heading “PD 24/17”). Closing date for applications is December 15th, 2017. Contact for informal enquiries regarding the post: PD Dr.habil. Thomas R. Knösche (knoesche(a)cbs.mpg.de) For more information about the group see: http://www.cbs.mpg.de/methods-and-development-groups/meg-and-cortical-netwo… -- --- PD Dr.habil. Thomas R. Knösche Group Leader Research group "Cortical Networks and Cognitive Functions" Max Planck Institute for Human Cognitive and Brain Sciences Stephanstraße 1A, 04103 Leipzig, Germany Phone: +49 341 9940-2619 Fax: +49 341 9940 2624 Email: knoesche(a)cbs.mpg.de http://www.cbs.mpg.de/~knoesche

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[WCCI 2018 Special Session] Interpretable Deep Learning Classifiers
by Teng Teck Hou Nov. 23, 2017

Nov. 23, 2017

[Apologies for cross-postings] Special Session on Interpretable Deep Learning Classifiers IEEE World Congress on Computational Intelligence 8 - 13 July 2018, Rio de Janeiro, Brazil www.ieee-wcci.org Chairs: Plamen P. Angelov, Lancaster University, UK p.angelov(a)lancaster.ac.uk Jose C. Principe, University of Florida, principe(a)cnel.ufl.edu Synopsis: Deep Learning is becoming a synonym of highly precise (reaching or surpassing capabilities of a human) computational intelligence technique. Very interesting and important results were reported recently in both scientific literature and also grabbed the imagination of the wider public and industry helping propel the interest towards AI, neural networks, machine learning. It was applied mostly to solve classification problems in image processing, but also for predictive tasks in speech processing and other problems. Despite the undoubted success in achieving high precision and avoiding handcrafting in feature selection a number of issues remain unresolved, such as: i) transparency and interpretability; ii) the requirement for extremely large training data set, computational resources and time; iii) overfitting and catastrophic failures with high confidence in some cases; iv) convergence proof for the case of reinforcement learning; v) rigid structure unable to be adapted/to dynamically evolve with new samples and/or new classes; vi)repeatability of the results. Methodologically, the vast majority of the techniques of this hot and quickly developing area are based exclusively on neural networks (convolutional, belief based, etc.). Very recently publications appear where the deep learning (multi-layer) architecture with different levels of abstraction is build based on fuzzy rulebased systems or fuzzy sets are used to represent coefficients/weights in Restricted Bolzman Machines, etc. The aim of the special session is to address the bottleneck issues listed above and discuss and represent alternative and most recent methods, techniques and approaches that can help resolve these issues. The specific sub-topics that will be of interest include: * Interpretable/Transparent Deep Learning * Computational and time complexity/efficiency of Deep Learning Methods * Repeatability of the results of Deep Learning Methods * Degree of confidence in the results of Deep Learning * Highly Parallelisable Deep Learning Methods * Deep Learning with proven convergence * Re-trainability and dynamically evolving structures/architectures for Deep Learning * Ensembles of Deep Learning Classifiers * Fuzzy Deep Rule-based Classifiers * Self-adaptive and Self-organising Deep Learning Architectures Also applications to: * Computer Vision * Image Classification * Robotics * Remote Sensing * Biology and Tomography * Surveillance and Defense * Industry 4.0 * Assistive Technologies and Digital Health Important dates: * Paper Submission Deadline 15 January, 2018 * Paper acceptance notification date 15 March, 2018 * Final paper submission deadline 1 May, 2018 Conference: 8-13 July, 2018 Submission Guidelines: Please follow the regular submission guidelines of WCCI 2018. Please notify the chairs of your submission by sending an email to: p.angelov(a)lancaster.ac.uk or principe(a)cnel.ufl.edu This special session is supported by the IEEE Task Forces on Deep Learning http://deeplearning.math.unipd.it/ and on Evolving and Adaptive Fuzzy Systems, http://www.caos.inf.uc3m.es/aefs/

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University of Sussex 4-year PhD Programme in Neuroscience
by Miguel Maravall Nov. 22, 2017

Nov. 22, 2017

Dear comp-neuro colleagues, We are now inviting applications for the PhD Programme in Neuroscience at the University of Sussex, for entry in September 2018. Could you please kindly distribute to interested students - we are very interested in applications from students with quantitative (physical sciences/computing/math) backgrounds. Thank you Best wishes Miguel Maravall University of Sussex 4-year PhD Programme in Neuroscience Sussex Neuroscience is now inviting applications for September 2018 entry to our funded PhD Programme, which includes a first year of laboratory rotations and taught modules. These support a transition into neuroscience from other science disciplines such as physics and computing, and provide students with the opportunity to both broaden and deepen their experience of different neuroscience fields and techniques. More than 40 supervisors are offering research projects across the following thematic areas: Circuits, Systems and Computational Neuroscience Cognitive and Behavioural Neuroscience Cellular and Molecular Neuroscience Translational and Clinical Neuroscience Application Deadline: January 8th 2018 The Sussex campus is home to one of the largest neuroscience research communities in the UK, with strong interdisciplinary interactions between the biological and computational sciences. Our PhD Programme attracts some of the brightest students internationally. Home/EU fees are waived and a stipend is provided. We also welcome applications from non-EU students; we are able to contribute top-up funds to exceptional international students who have secured external funding. All students on the Programme can access financial support to attend conferences and additional training opportunities in the UK and overseas throughout their PhD. For further information and application instructions, please visit: www.sussex.ac.uk/sussexneuroscience/study/4yearphd<http://www.sussex.ac.uk/sussexneuroscience/study/4yearphd>

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a fantastic post-doc opportunity in the University of Cambridge
by Julija Krupic Nov. 22, 2017

Nov. 22, 2017

Dear All, I am looking for talented and highly motivated researchers interested in studying how hippocampal spatial representations are generated and used for navigation. If you are interested please contact me directly krupiclab.com or apply here: http://www.jobs.ac.uk/job/BFR632/research-assistant-associate/ Best, Julija

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2018 Telluride Neuromorphic Cognition Engineering Workshop Call for Topic Proposals: Deadline 21.12.2017
by elisabetta chicca Nov. 22, 2017

Nov. 22, 2017

The call for 2018 Telluride Neuromorphic Cognition Engineering Workshop Call for Topic Proposals is now open. The 2018 theme for the workshop is * Embodied Perception and Cognition*. Deadline for proposals is *21.12.2017*. See the call here: https://docs.google.com/document/d/11tdwIIcJ75NagH5ENyQrG05z2pGKEt9EGRTOSWB… We look forward to your proposals. Regards, The 2018 Telluride Workshop Organizing Team -- Prof. Dr. Elisabetta Chicca CITEC - Bielefeld University Inspiration 1 33619 Bielefeld - Germany Tel.: +49 521 106-12043 Fax : +49 521 106-12348

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Postdoctoral position in Human Single Unit and Intracranial EEG to study Human Memory
by Zaghloul, Kareem (NIH/NINDS) [E] Nov. 22, 2017

Nov. 22, 2017

Hi, I would like to post the following advertisement for an available post-doc position to the comp-neuro listserv. If you could help me with that, I would appreciate it. Please let me know if you need any more information. Thank you for your help, Kareem Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 The National Institute of Neurological Disorders and Stroke is seeking a full-time post-doctoral position focused on understanding the neural correlates of human memory. This position involves studies focused on analyzing and manipulating human intracranial electrophysiological signals, including single-unit activity, local field potentials, and electrocorticography (ECoG), captured from patients with medically refractory epilepsy and from patients receiving deep brain stimulation surgery. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human episodic memory formation and decision making and at developing novel and innovative techniques to directly communicate with those circuits. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants who will be attending either the Society for Neuroscience (Washington, DC), or American Epilepsy Society (Washington, DC) conferences can arrange for a meeting with the Principal Investigator, Dr. Kareem Zaghloul. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov> NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation.

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[jobs] Fully funded MS/PhD student positions in Data Science, Bio-inspired Robotics, and Neural Engineering at IST, VISTEC, Thailand
by Poramate Manoonpong Nov. 21, 2017

Nov. 21, 2017

Dear Colleagues, The School of Information Science and Technology (IST) at Vidyasirimedhi Institute of Science and Technology (VISTEC), Thailand, welcomes all applicants for our international Master's and Doctoral degree program. Our school offers a competitive, English language, interdisciplinary, world-class PhD training and research program in Information Science and Technology. We have 20 fully funded Master and PhD student positions. Our program includes 2-years MS, 5-years MS+PhD, and 3-years PhD options. The students will be formally affiliated with the Master/PhD program at IST, VISTEC, Thailand. They will have the opportunity to develop new algorithms and research ideas and perform experiments on real hardware, e.g., High performance computing, Advanced robotic systems, Exoskeleton, and Brain computer interface systems. Our basic research under the IST umbrella focuses on main areas: Data Science, Cloud/HPC, IOT, Bio-inspired Robotics, and Neural Engineering. Data Science and Engineering (Large-Scale Analytics, Data Engineering, Data Mining, Artificial Intelligence and Machine Learning): We address various scalability issues in machine learning, data mining, database query processing. We are especially interested in developing solutions for machine learning problems with an extremely large number of classes and a scalable system for managing and storing various forms of high-dimensional data. Our application domains include (but not limited to) natural language processing, time series data management, geospatial data mining, business intelligence, IoT data analytics, and health data analytics. Bio-inspired robotics: We address how to develop brain-like mechanisms for adaptive motor control and autonomous learning of embodied multi-sensorimotor robotic systems (i.e., bio-inspired robots, exoskeleton). We also transfer the developed mechanisms (BRAIN technology) to application areas like human-machine interaction, brain-machine interface, and rehabilitation (see www.brain.vistec.ac.th<http://www.brain.vistec.ac.th/> for more details). Neural Engineering: We address an investigation of closed-loop EEG-based Brain Computer Interface (BCI) helps bridge the gap in communication between man and machine. Understanding patterns of brain activity from basic neuroscience research will help engineering to optimize the BCI system that could be applied in the real-world environment. Advanced signal processing techniques and pattern recognition methods such as machine learning, artificial neural network, and deep learning can improve the efficiency of BCI by increasing information transfer rate and accuracy. Ultimately, research based on BCI could lead to the development of novel tools used in both clinical and healthy populations (see www.brain.vistec.ac.th<http://www.brain.vistec.ac.th/> for more details). Financial Support: This studentship includes 1) fee bursary to cover the tuition fee rate 2) a maintenance allowance during the study, 3) grant of 1 Million Bath scholarship for international research experience. Person Specification: The successful applicant from any nationality will have a strong undergraduate (first class or upper second class) and/or Master's degree in 1) Science (Physics, Mathematics, Computer and related fields) 2)Engineering (Computer, Mechanical, Electrical, Robotics, and related fields) 3) Applied Science (Information Technology, ICT, Machine Learning, and related fields) Applicants with excellent programming and analytical/mathematical skills as well as expertise and research interests lying at the intersection of Data science, Bio-inspired Robotics, and Neural Engineering are particularly welcome to apply. Applicants from non-English speaking countries will need to satisfy English language entry requirements. Application Documents: 1. CV 2. Official Transcripts 3. Statement of Purpose/ Statement of research interest Optional: 4. Letters of recommendation 5. English test score (TOEFL, IELTS, or other tests) 6. Publications, awards & honors 7. Portfolio and other relevant documents Applications should be submitted online by January 31st , 2018. http://www.vistec.in.th/admission/form.php http://www.vistec.in.th/admission/ For further information or questions please contact Box Leangsuksun E-mail: chokchai.l(a)vistec.ac.th<mailto:chokchai.l@vistec.ac.th> Vidyasirimedhi Institute of Science and Technology, Wangchan Valley 555 Moo1 Payupnai, Wangchan, Rayong 21210 Thailand Tel: +6633-01-4116 Website of VISTEC: http://www.vistec.ac.th<http://www.vistec.ac.th/>

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Multiple academic positions in Cognitive Analytics Research Laboratory, Ulster University
by Wong-Lin, Kongfatt Nov. 21, 2017

Nov. 21, 2017

Several academic positions in data analytics, including neuroinformatics, are available at Ulster University. They range from Lecturership (Assistant Professorship equivalent) to (Full) Professorship. The application deadline is 8 December 2017. Best, KongFatt Wong-Lin https://www.ulster.ac.uk/staff/k-wong-lin ----------------------------------------------------------------------- Professor of Data Analytics (2 posts)<https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY5MTM4MCZ2dF90…> http://www.jobs.ac.uk/job/BFM233/professor-of-data-analytics-2-posts/ Readers/Senior Lecturers in Data Analytics (3 posts)<https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY5MTM4MSZ2dF90…> http://www.jobs.ac.uk/job/BFM247/reader-senior-lecturer-in-data-analytics-3… Lecturers in Data Analytics (3 posts)<https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY5MTM4NCZ2dF90…> http://www.jobs.ac.uk/job/BFM258/lecturer-in-data-analytics/ Ulster University – Cognitive Analytics Research Laboratory, Faculty of Computing, Engineering and the Built Environment An exciting opportunity to contribute to internationally recognised research and help shape the future of data analytics. Ulster is a university in the top 3% globally, where excellence in teaching is underpinned by world-leading research. Ranked as one of the world’s top 150 young universities and in the top 25% of UK universities for overall research, Ulster is ambitious, forward-thinking and outward-looking. Our new Cognitive Analytics Research Laboratory is Northern Ireland’s first data analytics institute. It is a £4 million investment that brings together businesses, government and advanced academic research expertise to find innovative application areas for cognitive analytics techniques. It is part of an exciting programme of investment in new infrastructure and initiatives driven by a five-year strategic vision to deliver a university that is sustainable and innovative with a strong international reputation. Ulster has a long history of expertise in data analytics in both machine learning algorithms and the application of analytical techniques across a diverse range of domains including Health and Neuroinformatics. We are seeking to appoint talented and creative people with a genuine passion for their work, who will deliver outstanding research and teaching that encourages innovation, leadership and vision. The appointment is permanent and is open to applications from individuals or teams. Location: Magee campus, Derry~Londonderry. Attractive reward package including a competitive starting salary, pension scheme and financial assistance with relocation. Closing date for applications: 8 December 2017. For more information about this opportunity visit: www.ulster.ac.uk/jobs<http://www.ulster.ac.uk/jobs> ------------------------------------------------ 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 Ulster University 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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Postdoctoral position in computational neuroscience and machine learning
by Maxim Bazhenov Nov. 20, 2017

Nov. 20, 2017

Applications are invited for a post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to develop neuroscience inspired machine learning algorithms capable of continual learning and adapting to the novel situations and contexts.This project involves close collaboration with the experimental laboratory of Dr. Bruce McNaughton (UC Irvine). The ultimate goal of the work is to advance the knowledge of how human and animal brains learn from experience and apply these principles to the artificial systems to enable continuous learning without catastrophic forgetting. The successful candidate will collaborate with a team of researchers to design neural network models of dynamic interactions between the hippocampus and neocortex during learning and memory consolidation based on experimental data. These models will be used to derive learning principles that can be combined with advances in artificial intelligence and machine learning. An ideal candidate should have experience in computational/theoretical neuroscience and a basic knowledge of machine learning, or, alternatively, experience in machine learning algorithms and some basic knowledge ofneuroscience. Experience with hierarchical learning, reinforcement learning, and/or goal-directed decision-making would be particularly helpful. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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NEST Conference 2017 --- Register NOW!
by Dennis Terhorst Nov. 17, 2017

Nov. 17, 2017

Dear all! Coming up mid of December the community of NEST users and developers will meet to discuss neuroscientific work with NEST and the status and future of simulation technology on the NEST Conference 2017 to be held on 19/20 December 2017 (Tuesday/Wednesday, lunch to lunch) at Haus Overbach in Barmen near Jülich, Germany. After our very successful and stimulating meeting in Karlsruhe last November, we are greatly looking forward to 24 hours filled with presentations and discussions of NEST applications to computational neuroscience and neurorobotics projects and NEST technology development. You are cordially invited to contribute to the program with your contribution! We are grateful to the Human Brain Project Outreach Programme and Education Programme for financial support. Important deadlines: - 19 November 2017: Extended deadline for submission of contribution - 26 November 2017: Extended deadline for registrations For details, contribution submission and registration, please see https://indico-jsc.fz-juelich.de/event/52/overview We are looking forward to seeing you all in December! best, Dennis Terhorst -- Dipl.-Phys. Dennis Terhorst Coordinator Software Development Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Theoretical Neuroscience, Institute for Advanced Simulation (IAS-6) Jülich Research Centre, Member of the Helmholz Association and JARA 52425 Jülich, Germany Building 15.22 Room 4004 Phone +49 2461 61-85062 Fax +49 2461 61- 9460 d.terhorst(a)fz-juelich.de

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Postdoc position in systems/computational neuroscience (retina)
by Philipp Berens Nov. 17, 2017

Nov. 17, 2017

Dear all, Thomas Euler and I have a postdoc position available. Applications are sought for a Postdoc position for a collaborative project in the groups of Thomas Euler and Philipp Berens at the Institute for Ophthalmic Research , the CIN, and the Bernstein Centre for Computational Neuroscience (BCCN) of the University of Tübingen. The project is part of the DFG Priority Programme „Computational Connectomics” (SPP 2041). The goal of the project is to combine functional imaging of excitatory and inhibitory signals with computational modeling based on connectomics data from electron microscopy to study the role of amacrine cell circuits in the retina. The candidate for the position ... must have a PhD in a relevant discipline (e.g. neuroscience) must have experimental skills ideally in functional 2P imaging, alternatively in electrophysiology has a strong background in neuroscience at the circuit or systems level, ideally in the visual system is proficient in modern programming languages (i.e. Python) is experienced in data analysis. The ideal candidate is self-motivated, independent, and able to learn quickly, is proficient in English verbal and written communication and has strong problem-solving skills. What we offer The positions is available immediately, with funding for 3 years and possible extension depending on further funding. The postdoc will work embedded in an highly collaborative, interdisciplinary environment, providing ample possibilities for career development. Applications should include a CV, a statement of research motivation and experience, and the names of at least two referees. Please compile your application in one single PDF-file and email it to positions(a)eulerlab.org. Further details: http://eulerlab.de/positions/ -- PD Dr. Philipp Berens (Group Leader) University of Tübingen Institute for Ophthalmic Research http://www.berenslab.org phone: +49-7071-2988833

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ICMNS 2018: Call for Contribution
by Etienne Tanre Nov. 16, 2017

Nov. 16, 2017

We are delighted to announce the 4th International Conference on Mathematical Neuroscience (ICMNS 2018), to be held at the Congress Center in Juan-les-Pins, on the French Riviera. Tutorials will be held on June 10, and the main conference is June 11 - June 13. More details are given on the conference website: https://icmns2018.inria.fr <https://icmns2018.inria.fr/> The International Conference on Mathematical Neuroscience will provide a forum for researchers to discuss current mathematical innovations emerging in neuroscience. A major aim of the conference is to attract and train young researchers on current methods in mathematical neuroscience. To fulfill this goal, we will hold a tutorial the day before the main meeting. The main conference will feature a broader set of topics in mathematical neuroscience, with a focus on (a) the use of experimental data in modeling studies; (b) theory and models that explore hypotheses and design better experiments; (c) rigorous mathematical models of neural systems; (d) improved methods for analyzing complex data sets. Abstract Submission: We encourage abstract submission by researchers from all areas of mathematical neuroscience. One page abstracts will be reviewed by the Program Committee and divided into parallel talk sessions and poster sessions. Details will be given on the web site <https://icmns2018.inria.fr/>. The abstract submission <http://icmns2018.inria.fr/submission/> deadline is January 23, 2018. Student Awards: We offer student awards. To apply, students must submit an abstract and include a current CV as part of their submitted document in Easychair <https://easychair.org/conferences/?conf=icmns2018>. Program Committee Daniele Avitabile (Univ. of Nottingham, UK) Nicolas Brunel (Duke Univ., USA) Carina Curto (Pennsylvania State Univ., USA) Rodica Curtu (Univ. of Iowa, USA) Mathieu Desroches (Inria Sophia-Antipolis, France) Lubomir Kostal (Inst. of Physiology, Czech Republic) Carlo Laing (Massey Univ., New Zealand) Benjamin Lindner (Bernstein C. for Comp. Neuroscience Berlin, Germany) Eva Löcherbach (Univ. Cergy-Pontoise, France) André Longtin (Univ. Ottawa, Canada) Jeff Moehlis (Univ. California Santa Barbara, USA) Hiroya Nakao (Tokyo Instit. of Technology, Japan) Patricia Reynaud Bouret (Univ Nice, France) Alex Roxin (CRM Barcelona, Spain) Delphine Salort (Univ Pierre et Marie Curie, France) Wilhelm Stannat (TU Berlin, Germany) Denis Talay (Inria Sophia-Antipolis, France) Michèle Thieullen (Univ Pierre et Marie Curie, France) Martin Wechselberger (Univ Sydney, Australia) Advisory Board Paul Bressloff (Univ. of Utah, USA) Evelyn Buckwar (JKU Linz, Austria) Stephen Coombes (Univ. of Nottingham, UK) Olivier Faugeras (Inria Sophia Antipolis, France) Julijana Gjiorgjieva (Max Planck Institute for Brain Research, Germany) Zachary Kilpatrick (Univ. of Colorado Boulder, USA) Robert Rosenbaum (Univ. of Notre Dame, USA) Romain Veltz (Inria Sophia Antipolis, France) We hope to see you in Juan les Pins this June! All the best, Susanne Ditlevsen Bard Ermentrout Etienne Tanré

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Postdoctoral Fellow Position in Human Neuroimaging
by Sylvia Morelli Nov. 16, 2017

Nov. 16, 2017

The Empathy and Social Connection Lab <http://www.morellilab.com/> at the University of Illinois at Chicago (PI: Sylvia Morelli) has an opening for a postdoctoral fellow to begin any time between January to July 2018. The postdoctoral fellow will have the opportunity to work on neuroimaging research related to empathy, prosociality, social networks, well-being, loneliness, and depression (including collaborative projects with the Stanford Social Neuroscience Lab <http://ssnl.stanford.edu/>). Successful applicants should have a PhD in neuroscience, psychology, computer science, statistics/biostatistics, mathematics, or a related field. They should also have a strong background in programming, statistics, and the design and analysis of fMRI experiments, as well as excellent communication and organizational skills. Experience with computational neuroscience techniques — such as multivariate pattern analysis, prospective prediction, machine learning, effective connectivity, or connectomics/graph theory — is a bonus, but not a requirement. The position will be fully funded for at least 2 years with the potential for a longer-term position. We will review applications beginning December 10, until the position is filled. Applicants should send a CV, a statement describing research interests and experience (maximum: 1 page), and contact information for two references to Sylvia Morelli (smorelli(a)uic.edu <mailto:smorelli@uic.edu>).

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PhD position in neural coding
by Matthew Chalk Nov. 16, 2017

Nov. 16, 2017

PhD position in theoretical neuroscience, at the Vision Institute in Paris, France: Description: Applications are invited for a fully funded 3-year PhD studentship with Matthew Chalk, at the Vision Institute (www.institut-vision.org/en/ <http://www.institut-vision.org/en/>), within the University of Pierre and Marie Curie (UPMC), in Paris, France,. The project will involve investigating neural coding in the retina. Specifically, it will ask how neurons achieve diverse goals, such as optimising efficiency or making predictions about the future. The PhD will include both a theoretical and an experimental component. The theoretical part will extend work by Chalk et al. to develop a general theory of neural coding (Chalk et al. NIPS 2016, Chalk et al. bioArxiv 2016). The experimental part, where we will test this theory in the retina, will be in close collaboration with the lab of Olivier Marre, who have developed techniques for recording from hundreds of retinal ganglion cells simultaneously (e.g. Marre et al. PLoS Comp. 2015). The Vision Institute is a stimulating environment for brain research. It brings together in a single building researchers, clinicians and industrial partners in order to discover, test and develop treatments and technological innovations for the benefit of visually impaired patients. The ideal candidate should have a strong quantitative background, with a masters degree in fields such as physics, computer science or computational neuroscience. Applications should include a CV, a short letter of motivation (max 1 page), and letter of recommendation. The earliest starting date is January 2018. Electronic submissions should be sent to Matthew Chalk (matthewjchalk(a)gmail.com <mailto:matthewjchalk@gmail.com>). Feel free to ask any informal questions if you are interested.

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Deadline Approaching: Theoretical/Statistical Neuroscience Faculty Openings at Columbia
by Allison Ong Nov. 15, 2017

Nov. 15, 2017

Dear Colleague, This is a friendly reminder that *Dec 1, 2017 *is the deadline for Columbia's search for *two faculty positions in Theoretical and Statistical Neuroscience.* We would appreciate it if you could forward the information below or the flier attached to any interested candidates. The link to apply is: academicjobs.columbia.edu/ applicants/Central?quickFind=65051 Thanks and Best Wishes, Larry Abbott and Liam Paninski *Two Junior Faculty Position in Theoretical / Statistical Neuroscience* The Department of Neuroscience, the Department of Statistics, and the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University invite applications for two tenure-track positions at the Assistant or Associate Professor level, to begin in 2018. One position will focus on theoretical neuroscience with an appointment in the Department of Neuroscience. The other position will focus on the application of statistics to neuroscience with an appointment in the Department of Statistics. Both positions will include appointments as well as office and laboratory space in the Center for Theoretical Neuroscience and the Grossman Center of the Statistics of Mind within the Mortimer B. Zuckerman Mind Brain Behavior Institute housed in the Jerome L. Greene Science Center at Columbia. The Zuckerman Institute brings together scientists from diverse backgrounds whose research focuses on brain function, wiring, and development. We are seeking dynamic scientists interested in exploiting this multidisciplinary environment by interacting with Zuckerman Institute faculty as well as with others in the Columbia neuroscience, biological sciences, physical sciences, statistics, and machine learning communities, including the Data Science Institute. Zuckerman Institute faculty will function as full members of their home departments: tenure will be granted by the home department and faculty will contribute to teaching in their home departments and the Zuckerman Institute. Candidates will be expected to show expertise and an ability to lead a research program in theoretical and/or statistical neuroscience. Applicants are expected to have a strong record of scientific achievement and to demonstrate the ability to engage in innovative research and teaching. Applicants should hold a PhD in neuroscience, statistics, or a related area. Applications should be submitted through this link: academicjobs.columbia.edu/applicants/Central?quickFind=65051 The following documents should be uploaded with your application: cover letter, CV, research plan, teaching statement, three letters of reference or a listing of at least three references that can be contacted, and the inclusion of one or two publications. Women and minorities are strongly encouraged to apply. We will start to evaluate applications on December 1, 2017. Columbia University is an Equal Opportunity/Affirmative Action employer --Race/Gender/Disability/Veteran.

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Call for SMARTSTART Applications
by Smart Start Coordination Office Nov. 15, 2017

Nov. 15, 2017

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 next round in the winter term 2018/19. The Deadline for application is Wednesday, February 28, 2018. More information can be found on our website: www.smartstart-compneuro.de<http://www.smartstart-compneuro.de/> Best regards, Kathrin Hebert -- Coordination Office Smart Start - Joint Training Program in Computational Neuroscience 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:smartstart@fz-juelich.de> web: www.nncn.de<http://www.nncn.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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Princeton Intensive Summer School in Neuroscience
by Carlos Brody Nov. 14, 2017

Nov. 14, 2017

** Princeton Intensive Summer School in Neuroscience ** We want to bring to your attention an intensive 4-week summer course, Cellular, Computational and Cognitive Neuroscience (C3N), designed to introduce physicists, mathematicians, engineers and computer scientists to the major questions and techniques of modern neuroscience, with a special emphasis in both lecture and laboratory components on modern recording and analysis methods, ranging from large scale electrode and optical recording (and optogenetic stimulation) to mathematical analysis of neural dynamics within the datasets produced by these methods. The course and application are described in detail at http://C3N.princeton.edu. Senior graduate students or postdoctoral fellows are particularly appropriate candidates for the C3N course. Grants from the NIMH and the Burroughs Wellcome Foundation allow us to meet the full financial needs of all admitted students. The application deadline is Feb. 1 2018. http://C3N.princeton.edu David Tank, Michael Berry and Alan Gelperin, Princeton Neuroscience Institute

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Call for Applications - 2018 Nengo Summer School
by Peter Blouw Nov. 14, 2017

Nov. 14, 2017

[All details about this school can be found online at https://www.nengo.ai/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce a special version of our annual Nengo summer school that will host the* first public access* to *Braindrop*, a new mixed analog-digital neuromorphic chip developed in collaboration with Stanford and Yale. In addition to introducing Braindrop, this two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [1]. Nengo is also being used to program a variety of state-of-the-art neuromorphic chips, including Braindrop! For a look at last year's summer school, check out this short video: https://goo.gl/4tVUkQ We welcome applications from all interested graduate students, research associates, postdocs, professors, and industry professionals with a relevant background. [1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] Application Deadline: February 15, 2018 *Format*: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware - build perceptual, motor, and cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more... *Date and Location:* June 3th to June 15th, 2018 at the University of Waterloo, Ontario, Canada. *Applications*: Please visit http://www.nengo.ai/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw(a)appliedbrainresearch.com) We look forward to hearing from you!

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PhD position: Calcium signalling in the C. elegans brain
by Melanie Stefan Nov. 14, 2017

Nov. 14, 2017

PhD position: Using C. elegans and computational modelling to understand the mechanisms governing calcium signalling in the brain A BBSRC-funded PhD position is available at the University of Edinburgh, in a joint project between the Busch lab and the Stefan lab. The project involves studying Calcium signalling in the C. elegans brain, using both experimental methods (genetics, behavioural assays, functional neuronal imaging) and computational modelling. Full funding is available for UK or EU citizens who have been resident in the UK for 3 years prior to commencement. Further details and instructions on how to apply are available here: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=89850 The application deadline is 4 December 2017. If you wish to discuss the project, contact Emanuel Busch (Emanuel.Busch(a)ed.ac.uk) or Melanie Stefan (melanie.stefan(a)ed.ac.uk) -- Melanie I Stefan, PhD Edinburgh-Zhejiang Lecturer University of Edinburgh Edinburgh, UK, EH8 9XD http://melaniestefan.net

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Job Posting: Computational Neuroscience Applications Engineer
by Christian Rössert Nov. 13, 2017

Nov. 13, 2017

Dear Colleagues, INAIT is seeking a permanent and full-time Computational Neuroscience Applications Engineer INAIT is a spin-off from the Blue Brain Project that will leverage 12 years of experience on brain modeling and simulation to build the next generation AI systems. INAIT has a unique position in knowledge of brain structure and function, advanced software ecosystems, and an advanced team of scientists and engineers. We expect to radically innovate on current AI systems to more easily capture diverse brain-like capabilities. Send your cover letter and CV to contact(a)inait.ai Job description *Major duties and responsibilities:* - Contribute to the development of computational neuroscience applications using state of the art computational neuroscience simulation packages and INAIT applications - Contribute to the development of computational neuroscience models of neurons and neural networks - Perform a technical survey of computational neuroscience algorithms and technology *Essential skills and experience required:* - University degree in computational neuroscience - Professional experience in state of the art computational neuroscience simulation frameworks such as NEST, NEURON, GENESIS, … - Experience in developing computational models of morphologically and/or (preferred) point neuron models - Professional experience in Python code development - Professional experience using UNIX/Linux operating systems - Good team player - Fluent spoken and written English *Preferred:* - Experience in the development of state of the art computational neuroscience simulation frameworks such as NEST, NEURON, GENESIS, … - Experience in the use of computational neuroscience simulation frameworks paradigms on shared and/or distributed parallel machines. - Professional experience in the software development life-cycle including unit testing, continuous integration, version control, debugging and documentation *Profile:* - Master’s degree or PhD (preferred) in computational neuroscience followed by at least 2-years professional experience - Quality-driven work ethics - Successful track record in designing, developing and maintaining software projects Where: Lausanne, Switzerland Start date: As soon as possible Activity rate: 100% Deadline for application: until position is filled Duration of contract: CDI Send your cover letter and CV to contact(a)inait.ai INAIT SA EPFL-Innovation Park - Bat. D 1015 Lausanne Switzerland contact(a)inait.ai

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Post-doc position in electrophysiology/neural coding at Columbia University
by Qi Wang Nov. 11, 2017

Nov. 11, 2017

A postdoc position is immediately available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University (http://neclab.bme.columbia.edu/) The project investigates the role of the locus coeruleus – norepinephrine (LC-NE) system in modulating neural coding, perception, and learning. The successful applicant should have a background in in-vivo single-unit recording. Experiences in behavioral training of rodents is a plus. We are looking for highly motivated researchers with a strong technical background, ideally with a PhD or equivalent in Biomedical Engineering, Neuroscience, Psychology, or a related discipline. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team. Start date is flexible. Salary will be commensurate to the candidate's qualifications. Applicants should submit a CV, 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. -- ====================================== Qi Wang, Assistant Professor Department of Biomedical Engineering Columbia University ET 351, 500 W 120th Street New York, NY 10027 Email: qi.wang@columbia.eduhttp://neclab.bme.columbia.edu/ <qw2161(a)columbia.edu>

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support for Two PhD Fellows in Bilbao, Caixa Fellowship
by Jesus Cortes Nov. 10, 2017

Nov. 10, 2017

Dear colleague La Caixa Foundation has published the call for International PhD fellowships within the program "INPhINIT". This call is providing excellent working conditions for excellent international students. More information at https://obrasociallacaixa.org/el/investigacion-y-becas/progr ama-de-becas-de-posgrado/inphinit/programme-description We will be supporting 2 applicants, one associated to the project “Machine Learning, Neurological Disorders and Brain Networks” supervised by Jesus M Cortes and the other associated to the project "Multi-scale epileptic networks: a longitudinal structural-functional study of human epileptic networks combining deep electrode recordings and MRI" supervised by Paolo Bonifazi. Applicants must have a background in Mathematics, Physics or Engineering. The student will work in the Computational Neuroimaging Lab in Biocruces (Bibao) focused on developing and applying brain connectivity methods in combination with machine learning (such as supervised and unsupervised classification), modeling (neuron or circuit levels) and imaging processing of different imaging modalities (such as magnetic resonance imaging or electroencepaholography). The student will interact with Engineers, Physicists and Clinical Researchers. Further details and readings: To study brain functioning and disfunctioning, the Computational Neuroimaging Laboratory in Biocruces (Bilbao) is focused on brain networks at the macroscale, thus affecting to the large-scale brain organization. While diffusion images provide information about structural connectivity, functional magnetic resonance imaging shed light on resting state functional connectivity. In this project, the student will work with different datasets, some of them publicly available, others acquired in our laboratory, covering different pathologies such as autism, patients in coma, epilepsy, patients with multiorganic failure, neurodegeneration such as Alzheimer’s disease or Parkinson and psychiatric disorders. https://www.frontiersin.org/articles/10.3389/fnagi.2017.00215/full http://www.mitpressjournals.org/doi/abs/10.1162/NETN_a_00007 https://www.frontiersin.org/articles/10.3389/fpsyg.2015.01024/full https://www.nature.com/articles/srep10532 Working conditions: 3-years contract, gross salary of about 26.000 euro - 28.000 euro per year, and an extra travelling and conference budget of about 3.500 euro per year. Applicant requirements: At recruitment date, candidates must have MSc degree and an English certification of minimum B2. In addition, candidates must not have residence in Spain longer than 12 months in the 3 years prior to recruitment date. Interested applicants contact to: Prof. Jesus M Cortes Ikerbasque Research Professor Head of the Laboratory of Computational Neuroimaging, Biocruces, Bilbao (Spain) Coordinator of the Quantitative Biomedicine Unit, Biocruces, Bilbao (Spain) Research Professor at the University of the Basque Country (Spain) http://www.jesuscortes.info jesus.m.cortes(a)gmail.com and/or Dr. Paolo Bonifazi Ikerbasque Tenure Track Professor Computational Neuroimaging Laboratory http://www.ikerbasque.net/es/paolo-bonifazi paol.bonifazi(a)gmail.com -- http://www.jesuscortes.info <http://jesuscortes.info> https://neurokafe.github.io/ https://thesciencebridge.org/

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Fully funded PhD Studentship in Biomedical Engineering
by Jayawan Wijekoon Nov. 9, 2017

Nov. 9, 2017

Fully funded PhD Studentship in Biomedical Engineering at the University of Manchester (through UK Medical Research Council Doctoral Training Partnership) is now open to UK and EU candidates. The successful candidate who have obtained, or be about to obtain, an undergraduate or Masters qualification in a relevant subject and should meet the minimum entry requirements of the School. The successful PhD student will help to develop a wearable fetal health monitoring vest to reduce stillbirths. The PhD student is expected to carry out electronic engineering or signal processing research. This multidisciplinary project is carried out with the collaboration of St Mary's Hospital, Manchester. For more details, please click the link given below. If you need further details, you can contact me (email: Jayawan.wijekoon(a)manchester.ac.uk<mailto:Jayawan.wijekoon@manchester.ac.uk>) directly. Web link to apply for the studentship<https://www.findaphd.com/search/projectdetails.aspx?PJID=89880>: https://www.findaphd.com/search/projectdetails.aspx?PJID=89880 The deadline for the application is 17th of November 2017. Kind regards, -- Dr. Jayawan Wijekoon Lecturer in VLSI Design & Digital Systems Design D31B, Sackville Street Building, School of Electrical and Electronic Engineering The University of Manchester, Manchester, M13 9PL, UK Tel. +44 (0)161 306 4736

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