- Comp-neuro - lists.cnsorg.org

Young post-doc position at IMSE, Spain
by bernabe June 3, 2020

June 3, 2020

The "Instituto de Microelectrónica de Sevilla" (IMSE) in Spain has an opening for a 3-year young post-doc position to join the Neuromorphic Group at IMSE (www.imse-cnm.csic.es/neuromorphs) financed by the Andalusian Regional Government. Gross annual salary is 30k€, which allows for a wealthy life in Sevilla. Requirements: - Official PhD graduation date must be after May 27th 2015, although earlier dates are possible in case of leaves due to pregnancies, child birth, adoption, major accident or disease. - One special requirement is that candidates must present an official certificate from the Public Employment Service of their country showing they are either unemployed or demanding a better position. - Deadline for candidacy submission is June 17th, although prospective candidates should contact us at bernabe(a)imse-cnm.csic much earlier to prepare the proposal. The IMSE Neuromorphic Group develops research in Silicon chips and FPGAs for neuromorphic hardware with stronger focus on vision applications. We have developed several DVS (Dynamic Vision Sensor) cameras as well as cortical processing systems and spiking based learning techniques. In the last years we have strongly engaged into exploiting memristors for neuromorphic hardware and have designed full monolithic CMOS-memristive neuromorphic systems. We welcome both, candidates with more hardware profile (either analog or digital) as well as with more computing profile. The successful candidate can participate in any of the active research projects in the group, can also develop alternative research lines within the neuromorphic field, participate in grant proposals, and advice PhD and MSc students. Please do redistribute. Deadline is very short. Thanks. --

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Assistant Professor / Lecturer position with Machine Learning focus
by Peter Andras June 2, 2020

June 2, 2020

Lecturer in Data Science (Education & Research) (equivalent of tenure-track Assistant Professor) with Machine Learning focus Keele University - School of Computing and Mathematics Location: Keele Salary: £42,783 to £52,560 Grade 8 Hours: Full Time Contract Type: Permanent Placed On: 18th May 2020 Closes: 17th June 2020 Job Ref: KU00001483 <https://people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VAC ANCY_ID%3d864042LDgx%1BUSESSION=&WVID=0493472Nsk&LANG=USA> <https://people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VAC ANCY_ID%3d864042LDgx%1BUSESSION=&WVID=0493472Nsk&LANG=USA> Faculty of Natural Sciences School of Computing and Mathematics Salary: Grade 8, £42,783 - £52,560 Keele University is renowned for its exciting approach to higher education, innovative research, beautiful campus, strong community spirit and excellent student experience. With a turnover in excess of £170 million, over 10,000 students and a total staff of approximately 2000, the University provides high quality teaching across a wide range of academic and vocational subjects and promotes world-class research. Further information can be found at <http://www.keele.ac.uk/> http://www.keele.ac.uk. This post represents an exciting opportunity for an ambitious individual to join a team of excellent academics in Keele Universitys Faculty of Natural Sciences. The Faculty is responsible for research and teaching in many areas of computer science, mathematics, and the physical and biological sciences. Applications are welcome from enthusiastic individuals committed to high quality teaching and research in any relevant field of Computer Science but in particular areas that complement data science such as data analytics, artificial intelligence, machine learning, visualisation, and statistics, and who have interests that complement our existing research strengths while broadening the scope of our teaching expertise. The lectureship post is part of continued growth and expansion of Computer Science at Keele, which presents many new opportunities for the development of synergies in both teaching and research. The successful candidate will be expected to lead the delivery of a new MSc programme in Artificial Intelligence and Data Science ( <https://www.officeforstudents.org.uk/news-blog-and-events/press-and-media/f unding-boost-for-new-courses-in-artificial-intelligence-and-data-science/> funded by the Office for Students) and develop an active research programme that both complements and extends our existing research profile in Computer Science. Candidates are also expected to develop research collaborations with colleagues at Keele and elsewhere in strategic research areas of the University, such as smart energy, big data, global health or social inclusion. Details of the research carried out in Computer Science at Keele can be found <https://www.keele.ac.uk/scm/research/computerscienceresearch/> https://www.keele.ac.uk/scm/research/computerscienceresearch/. The successful candidate will have a PhD in an appropriate area of Computer Science (or be very close to completion of his/her PhD) and will have a strong commitment to delivering high quality undergraduate and postgraduate teaching, including supervision of undergraduate and postgraduate research projects and the development and delivery of new modules and programmes. The post-holder will have the skills, enthusiasm and flexibility for teaching across a wide range of computer science topics and will also contribute to recruitment activities and administrative duties within our Computer Science programmes. Informal enquires can be made to Professor Peter Andras on 01782 733412 or <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk. The University is committed to operating flexible working practices wherever possible. Keele University values equality and diversity across our workforce and to ensuring our staff community is reflective of the diversity of our student population. In support of these commitments the University welcomes applications from individuals of Black, Asian and ethnic minority backgrounds for all roles. Keele University is committed to the principles of the Athena SWAN charter, and values equality and diversity across our workforce. We strive to ensure that our workforce is representative of broader society, and therefore, we would actively welcome applications from women for this role. For full post details please visit: <http://www.keele.ac.uk/vacancies> www.keele.ac.uk/vacancies Keele University employees wishing to apply should login to Employee Self Service and click on the 'View current vacancies' link. Closing date for applications: 17th June 2020 Post reference: KU00001483

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Assistant Professor / Lecturer position
by Peter Andras June 2, 2020

June 2, 2020

Lecturer in Data Science (Education & Research) (equivalent of tenure-track Assistant Professor) Keele University - Faculty of Natural Sciences - School of Computing and Mathematics Location: Keele Salary: £42,793 to £51,034 Hours: Full Time Contract Type: Permanent Placed On: 20th May 2020 Closes: 17th June 2020 Job Ref: KU00001484 <https://people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VAC ANCY_ID%3d445276LDkO%1BUSESSION=&WVID=0493472Nsk&LANG=USA> <https://people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VAC ANCY_ID%3d445276LDkO%1BUSESSION=&WVID=0493472Nsk&LANG=USA> Salary: Grade 8, £42,793 - £51,034 Keele University is renowned for its exciting approach to higher education, innovative research, beautiful campus, strong community spirit and excellent student experience. With a turnover in excess of £170 million, over 10,000 students and a total staff of approximately 2000, the University provides high quality teaching across a wide range of academic and vocational subjects and promotes world-class research. Further information can be found at <http://www.keele.ac.uk/> http://www.keele.ac.uk. This post represents an exciting opportunity for an ambitious individual to join a team of excellent academics in Keele Universitys Faculty of Natural Sciences. The Faculty is responsible for research and teaching in many areas of computer science, mathematics, and the physical and biological sciences. Applications are welcome from enthusiastic individuals committed to high quality research and teaching in any relevant field of Mathematical or Statistical Data Science (e.g. statistics, mathematical artificial intelligence, mathematical machine learning, statistical data science, computational data science but not restricted to these particular fields, although the preference is a field in Pure Mathematics), and who have interests that complement our existing research strengths while broadening the scope of our research and teaching expertise. The lectureship post is part of continued growth and expansion of Data Science and Mathematics at Keele, which presents many new opportunities for the development of synergies in both teaching and research. The successful candidate will be expected to develop an active research programme that both complements and extends our existing profile in Data Science, Mathematics and Statistics. Candidates are also expected to develop research collaborations with colleagues at Keele and elsewhere in strategic research areas of the University, such as smart energy, big data, global health or social inclusion. Information about the Mathematics and Statistics research context or Computer Science research context at Keele can be found at: <https://www.keele.ac.uk/scm/research/mathematicsresearch/> https://www.keele.ac.uk/scm/research/mathematicsresearch/ <https://www.keele.ac.uk/scm/research/computerscienceresearch/> https://www.keele.ac.uk/scm/research/computerscienceresearch/ The successful candidate will have a PhD in an appropriate area of Mathematical, Statistical or Computer Science (or be very close to completion of their PhD) and will have a strong commitment to delivering high quality undergraduate and postgraduate research and teaching, including supervision of undergraduate and postgraduate research projects and the development and delivery of new modules. The post-holder will have the skills, enthusiasm and flexibility for teaching across a wide range of Data Science, Mathematics and Statistics topics and will also contribute to recruitment activities and administrative duties within our Data Science programmes. Informal enquires can be made to Professor Peter Andras on 01782 733412 or <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk Keele University is committed to the principles of the Athena SWAN charter, and values equality and diversity across our workforce. We strive to ensure that our workforce is representative of broader society, and therefore, we would actively welcome applications from women for this role. The University is committed to operating flexible working practices wherever possible. Keele University values equality and diversity across our workforce and to ensuring our staff community is reflective of the diversity of our student population. In support of these commitments the University welcomes applications from individuals of Black, Asian and ethnic minority backgrounds for all roles. For full post details and to find out more about working at Keele please visit: <http://www.keele.ac.uk/vacancies> www.keele.ac.uk/vacancies Keele University employees wishing to apply should login to Employee Self Service and click on the 'View current vacancies' link. Closing date for applications: 17th June 2020

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The Canadian Computational Neuroscience Spotlight to take place virtually on June 15 and 16
by Scott Rich June 2, 2020

June 2, 2020

We are happy to announce the upcoming Canadian Computational Neuroscience Spotlight (CCNS) will take place virtually on June 15 and 16. This free meeting will be hosted using the Crowdcast platform, which has been successfully used for numerous virtual conferences over the past weeks and has a multitude of tools to facilitate the interactivity we often associate with traditional conferences. Registration is now open at https://www.crowdcast.io/e/CCNS/register <https://www.crowdcast.io/e/CCNS/register>. The keynote speakers for this event are Dr. Nancy Kopell (Boston University), Dr. Dimitris Pinotsis (City-University of London), Dr. Cameron McIntyre (Case Western University), and Dr. Philip Corlett (Yale University). The entire schedule, including other confirmed speakers, is available at https://www.crowdcast.io/e/CCNS/register <https://www.crowdcast.io/e/CCNS/register>. Our primary goal is for this to be a “trainee focused” meeting, considering it is likely this “next generation” of computational neuroscientists who may be most affected by the recent cancellation and postponement of many traditional physical conferences. Our themed sessions will begin with a “tutorial” talk, providing an introduction to an important topic or tool to be discussed in the session, in order to make the meeting more accessible to trainees at any level. We also will be hosting a panel “Q&A” session each day where trainees will be invited to ask questions of the organizers and speakers about the day’s presentations as well as more general topics. We note that while the meeting has been deemed a “Canadian” spotlight, it is intended for a global audience and includes a similarly global range of speakers. The Canadian focus was developed given that specific conferences in our country scheduled for this summer have been cancelled or postponed, as well as the desire for us to advertise the growing computational neuroscience community across Canada. Please feel free to advertise this meeting in any avenues you deem appropriate, including institutional listservs, lab communication, and social media. We look forward to seeing you at CCNS! Sincerely, Scott Rich, Ph.D. Postdoctoral Research Fellow, Krembil Research Institute. Andreea Diaconescu, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. John Griffiths, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. Milad Lankarany, Ph.D. Scientist, Krembil Research Institute.

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[jobs] 5 PHD POSITIONS IN COGNITIVE ROBOTICS, INTERACTION AND REHABILITATIONS TECHNOLOGIES AT IIT IN COLLABORATION WITH UNIVERSITÀ DI GENOVA - [ PhD ]
by Francesco Rea June 2, 2020

June 2, 2020

In the spirit of the doctoral School on Bioengineering and Robotics the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences. The general objective of the program is to form scientists and research technologists capable of working in multidisciplinary teams on projects where human factors play a crucial role in technological development and design. The 5 fellowships offered this year by the Istituto Italiano di Tecnologia as part of this curriculum will be assigned to the best applicants to one of the six themes offered within the curriculum, that can be found at the following address under the "Cognitive Robotics Interaction Rehabilitation technologies" Research themes: https://www.iit.it/phd-school/phd-school-genoa Here you can find the direct link to the list of themes in: List of Themes (PDF): https://www.iit.it/phd-school-docs/phd-2020/722-cognitive-robotics-interact… The deadline for the application is at 12:00 (Italian time) of the 15th June 2020 The interested applicants can find more details on the application and unofficial tip & tricks page to the application process: https://www.iit.it/phd-school/phd-school-admission-guide All IIT units involved in this curriculum are located in the "Erzelli" site of the Italian Institute of Technology and share research facilities including, besides two iCub humanoid Robots, a fully equipped motion capture room with simultaneous electromyography recording and force-platforms, a Transcranial Magnetic Stimulation Lab, an Electrophysiology Lab for EEG recording and meeting rooms. The ideal candidates are students with a higher level university degree willing to invest extra time and effort in blending into a multidisciplinary team composed of neuroscientists, engineers, psychologists, physicists working together to investigate brain functions and realize intelligent machines, rehabilitation protocols and advanced prosthesis. Interested applicants are encouraged to contact the perspective tutors for clarifications before submitting their application. International applications are encouraged and will receive logistic support with visa issues and relocation. Within this curriculum, RBCS Robotics, Brain and Cognitive Sciences department sponsors: *) Autonomous learning in human-robot interaction: towards transparent robot symbiosis in skill acquisition *) The role of social signals in human-robot interaction in group *) Cortical networks for affective communication in human robot interaction *) Altered reality for rehabilitation and training of low-vision individuals

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PhD opportunity - Insect Intelligence @ Edinburgh
by Barbara Webb June 2, 2020

June 2, 2020

The Insect Robotics group led by Prof. Barbara Webb, in the School of Informatics at the University of Edinburgh, has two funded positions available for PhD candidates, to start no later than January 2021. The topic of research will be the neural mechanisms of navigation in insects, building on our recent work modelling the central complex and the mushroom body circuits. Insects have relatively small brains but exhibit substantial intelligence and flexibility in their ability to navigate complex environments, providing an opportunity to understand problems of learning, generalisation, cue integration etc. at the level of single neurons and their connectivity. The primary project aim will be to build detailed computational models, working closely with anatomical and physiological data from our project partners, and to explore the behavioural consequences in simulated and robot agents. There will also be the opportunity to do behavioural experiments on relevant model species such as ants and dung beetles, to complement the modelling results. Students will be fully supported for 3.5 years with a standard stipend, all fees covered, and an allowance for travel and research costs. Interested candidates should in the first instance contact Barbara Webb <B.Webb(a)ed.ac.uk>. Further information about the research degrees in Informatics at Edinburgh and the formal application process can be found here: https://www.ed.ac.uk/informatics/postgraduate -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Two PhD positions in computational modeling of brain areas and neurorobotics
by Jesús Garrido June 1, 2020

June 1, 2020

The *Applied Computational Neuroscience (ACN) research group* ( https://acn.ugr.es) headed by Prof. Eduardo Ros at the University of Granada (UGR) is looking for talented Master or PhD students interested in working in the field of computational neuroscience and neurorobotics, specifically addressing questions of motor learning and adaptation. The perfect candidate shall possess a strong mathematical, computational or robotic engineering background (or equivalent), with great interest in biological and neural systems. Demonstrated programming skills are mandatory. *Requirements:* - Applicants should have a strong quantitative background (physics, engineering, computer science, applied mathematics), and a keen interest in reverse-engineering the brain. - Demonstrated programming skills (Matlab, C/C++, Python) are required. - Knowledge on computational neuroscience software (BRIAN, NEURON, NEST,…etc ) are a plus although not mandatory. - Robotics control middleware (ROS) is highly valuable. - Robotics (ROS) and programming languages (Matlab, C/C++, Python) are highly valuable. - Proficiency in oral and written English is required. - Knowledge of Spanish is not mandatory. Successful candidates are expected to work in an interdisciplinary environment with collaborations within EU projects. *Full Description of the Job Offer* can be found at: http://sl.ugr.es/hbpcontract *How to apply* Candidates should send a single pdf file containing a motivation letter, a full CV, and names and contact information of at least two referees, to Niceto Luque (nluque(a)ugr.es) and Jesús Garrido (jesusgarrido(a)ugr.es) Short listed candidates will be contacted for an interview (either face-to-face or via videoconference).

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Postdoctoral position in the Neuromodulation and Neuroprosthetics team, led by Dr. Fabien Wagner, at the Institute of Neurodegenerative Diseases, University of Bordeaux, France
by Fabien Wagner June 1, 2020

June 1, 2020

Our team develops new neuromodulation paradigms and neuroprosthetic systems for repairing or replacing circuit-level functions that get disrupted after neurological disorders or injury. Our research combines techniques from Neuroscience and Neuroengineering , in particular in vivo electrophysiology, signal processing, machine learning and control engineering. We are specifically interested in expanding neuroprosthetic systems from motor to cognitive disorders. In particular, we aim at developing a large-scale brain network neuroprosthesis to restore memory after brain injury or neurodegenerative diseases such as Alzheimer’s disease. To strengthen our team, we are looking to hire a motivated postdoctoral researcher, who will be expected to work on multielectrode recordings and electrical stimulation of large-scale memory networks in non-human primates performing cognitive tasks. The ideal candidate should have expertise in non-human primate electrophysiology, neurostimulation, memory disorders, brain-machine interfaces, or neuroprosthetics. This highly interdisciplinary project requires both experimental and analytical skills, and will be conducted in collaboration with other team members. The position is currently funded for a duration of 3 years. Interested applicants should send their CV to the principal investigator at : [ mailto:fabien.wagner@u-bordeaux.fr | fabien.wagner(a)u-bordeaux.fr ] . Keywords : neuromodulation, neuroprosthetics, neuroengineering, brain stimulation, brain-machine interfaces, memory, cognition. --- Fabien Wagner, Ph.D. Team leader: Neuromodulation and Neuroprosthetics Institut des Maladies Neurodégénératives - CNRS UMR 5293 Université de Bordeaux Centre Broca Nouvelle-Aquitaine - 3ème étage 146 rue Léo Saignat - CS 61292 - Case 28 33076 Bordeaux cedex [ http://www.imn-bordeaux.org/en/teams/neuromodulation-and-neuroprosthetics/ | www.imn-bordeaux.org/en/teams/neuromodulation-and-neuroprosthetics/ ] [ http://www.bordeaux-neurocampus.fr/en/staff/fabien-wagner/ | www.bordeaux-neurocampus.fr/en/staff/fabien-wagner/ ]

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PhD position at Rehab Technologies Lab (Italian Institute of Technology)
by Marianna Semprini May 29, 2020

May 29, 2020

We seek a highly motivate PhD student for working at the Rehab Technologies Lab at IIT. Rehab Technologies is an innovation lab aimed at translating robotic technologies into hi-tech medical products for people with disabilities, including also neural interfaces and personalized neuroengineering solutions for promoting neuroplasticity, with the goal of replacing and/or retraining motor functionalities. We are also interested in monitoring the neural correlates of the rehabilitation treatment, by means of measures based on network connectivity extracted with hdEEG. The PhD project will mainly focus on this activity and will thus include experiments with patients and strong collaboration and interaction with our clinical partners. To this end, the candidate will benefit from a lively network of collaborations with hospitals and research institutions in Italy and abroad. The ideal candidate should: hold a degree in electronic/biomedical engineering or related disciplines, have proficient programming skills (Matlab/Simulink, C and/or Python), be a highly motivated and creative individual who wants to work in a dynamic, multi-disciplinary research environment. Former lab experience and previous technical and scientific results will be highly considered. Applications will be collected through the UNIGE portal https://www.iit.it/careers/openings/opening/1215-1-phd-position-in-bioengin…. Deadline for application is June 15th. Please feel free to contact us for informal enquire. Contacts: michela.chiappalone(a)iit.it<mailto:michela.chiappalone@iit.it>; marianna.semprini(a)iit.it<mailto:marianna.semprini@iit.it> References: * Iandolo R., Semprini M., Buccelli S., Barban F.iit, Zhao M., Samogin J., Bonassi G., Avanzino L., Mantini D., Chiappalone M. (2020). Small-World Propensity Reveals the Frequency Specificity of Resting State Networks. IEEE Open Journal of Engineering in Medicine and Biology. * Semprini M., Laffranchi M., Sanguineti V., Avanzino L., De Icco R., De Michieli L., & Chiappalone M. (2018). Technological approaches for neurorehabilitation: from robotic devices to brain stimulation and beyond. Frontiers in Neurology, 9, 212.

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Post doc position at UCL in human motion sequencing to investigate threat-related behaviour (PI Dominik R Bach)
by Dominik R. Bach May 28, 2020

May 28, 2020

We are looking for a for a Research Fellow in human motion sequencing, for an ERC-funded research project "Action selection under threat - the complex control of human defence" led by Dr Dominik Bach (bachlab.org) The overarching goal of the project is to understand the cognitive-computational control of human motor behaviour under acute, immediate threat. We investigate this in an immersive virtual reality (VR) environment, in which people can move to avoid a large number of different threats. As part of this project, the candidate will conduct full-body motion capture recordings, recover kinematics and dynamics, and structure the ensuing trajectories using hierarchical statistical models incorporating movement mechanics. We want to find out how motor primitives and their sequences are shaped by threat features and by the cognitive mechanisms that they engage. For more background, see references below. The post is based in London UK, at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research (www.mps-ucl-centre.mpg.de <www.mps-ucl-centre.mpg.de/>), which is part of the Wellcome Centre for Human Neuroimaging (fil.ion.ucl.ac.uk) at UCL Queen Square Institute of Neurology, a world-class research environment. Applicants should have (or be close to obtaining) a PhD in machine-learning, robotics, computer science, motor science, biomechanics, computational neuroscience, or a related area, by the agreed start date of the position. Experience with motion capture, inverse kinematics and dynamics (in humans or robots), movement trajectory analysis and structuring are essential. Strong background in contemporary machine-learning and applied statistics is essential, as are solid mathematical skills and good general IT and software development knowledge. Familiarity with virtual reality and/or human/animal defensive behaviour would be desirable. The post is funded from Autumn 2020 for 3 years in the first instance. Starting salary on the UCL salary scale, £35,328 - £42,701 per annum, inclusive of London Allowance, superannuable. Closing date is 24. June 2020. You should apply for this post through UCL's online recruitment system – bit.ly/2LYRH64. Shortlisted candidates will be interviewed remotely in early-mid July. Applicants may contact Dr Dominik Bach directly (email: d.bach(a)ucl.ac.uk) for further information. References: Bach & Dayan (2017) Nature Reviews Neurosciences <http://bachlab.org/wp-content/uploads/2018/03/Bach-Dayan-2017-NRN-Algorithm…> Korn & Bach (2019) Nature Human Behaviour <https://doi.org/10.1038/s41562-019-0603-9> Please circulate - apologies for cross-posting. -- ----------------------- Dominik R Bach MBBS PhD Principal Research Fellow MPCUCL & WCHN, University College London http://bachlab.org | @bachlab_cog

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