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Conducting Interviews at FENS 2018 in Berlin for Neural Engineer / Neuroscientist Opening

by Zanos, Theodoros

We will be at FENS 2018 in Berlin conducting interviews from the 7th to the 12th of July - if interested email tzanos(a)northwell.edu<mailto:tzanos@northwell.edu> with your CV/resume to schedule an interview. Associate Engineer (MS Level) / Postdoctoral Fellow / Neural Engineer The Neural Decoding and Data Analytics Lab at the Center for Bioelectronic Medicine, Feinstein Institute for Medical Research is currently recruiting for a Neural Engineer / Neuroscientist (multiple levels). The lab focuses on neural recordings and data analysis methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves to and from stimuli, actions and other physiological functions. The lab utilizes a variety of techniques from signal processing, machine learning, optimization, neurophysiology and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. The ultimate goal is to develop neuromodulation therapies that will observe the state of the organism and the organ system that is targeted, to deliver individualized treatment of diseases in real-time. The successful candidate will develop computational tools, take part in neurophysiology experiments and collect, organize and analyze data, collaborate with other research staff and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. Job Responsibilities Include: Develops computational tools for neuroscience research. Perform neurophysiology experiments Performs bioelectronic medicine research. Collaborates with other research staff. Responsible for the planning, collection, organization, analysis and interpretation of research data related to one or more projects Job Type: Full-time Qualifications Associate Engineer (MS Level) - Masters in Engineering, Computer Science or Statistics required Postdoctoral Fellow - Doctorate degree in Engineering, Computer Science or Statistics (Ph.D) required Neural Engineer - Masters in Engineering, Computer Science or Statistics + 3 years of experience required, Doctorate degree preferred Authored/co-authored research papers and/or scientific abstracts, required Experience with various signal processing and machine learning methods, required Strong programming skills of Matlab, required, Python, C++, preferred Research experience in neurophysiology/neuroscience/animal surgery, preferred Knowledge of data analysis software (e.g. Matlab), preferred Theodoros Zanos, PhD Assistant Professor Head, Neural Decoding and Data Analytics Lab Center for Bioelectronic Medicine, Room 1257 The Feinstein Institute for Medical Research Hofstra Northwell School of Medicine 350 Community Drive Manhasset, NY 11030 Tel: (516) 562-0484 Cell: (646) 943-3440 Email: tzanos(a)northwell.edu<mailto:tzanos@northwell.edu> Northwell Health Visit us at Northwell.edu<http://northwell.edu/> [nwh_fi_sm_vrt_pos_rgb 35perc] The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

July 5, 2018

“Self-repairing Hardware Paradigms based on Astrocyte-neuron Models” workshop York, UK, 3-5th September 2018

by David Halliday

“Self-repairing Hardware Paradigms based on Astrocyte-neuron Models” is an informal workshop which will be held in the historic city of York from the 3 rd to the 5th of September 2018. The workshop aims to highlight and discuss emerging trends and future directions in the fields of bio-inspired fault tolerant systems, particularly self-repairing spiking neural networks, with applications to autonomous robotic systems (and beyond). The workshop will feature invited position papers from world-leading researchers and industrialists. The workshop website, which includes information on submission and an up-to-date list of invited speakers can be found at https://www.york.ac.uk/spanner-workshop We are currently soliciting abstracts from members of the community who are interested in presenting at this workshop. Abstracts should be no longer than three page of A4 in standard IEEE conference format, and should focus upon the potential for future developments within the field of bio-inspired fault tolerant systems. We welcome contributions that span topics from biological modelling through to hardware and applications. Topics include (but are not restricted to): - Astrocyte-neuron interactions and modelling - Spiking neural networks – models, algorithms and hardware implementations - Training, learning and optimisation in spiking neural networks - Biological models for fault tolerant systems - Implementation of bio-inspired and fault tolerant systems on FPGA - Hardware optimisations for bio-inspired systems - Spiking neural network and bio-inspired controllers for autonomous robotics - Autonomous swarm robotic systems - Fault tolerance in robotic systems - Innovative design techniques for bio-inspired and fault tolerant systems The deadline for submissions is Tuesday 31st July 2018. Please address any questions and submissions to spanner-workshop(a)york.ac.uk Attending the Workshop We welcome attendees from all areas of the bio-inspired and robotics communities. Thanks to funding from the EPSRC, registration is free. We have accommodation for a limited number of places, priority will be given to authors of accepted contributions. We also have a number of student bursaries available, which will provide free accommodation and contribute towards the travel costs of registered PhD students. If you would like to attend, please see the website at https://www.york.ac.uk/spanner-workshop

July 5, 2018

Postdoctoral position on decision neuroscience at Aarhus University and University College London

by Hrvoje Stojic

Postdoctoral position on decision neuroscience at Aarhus University and University College London The Department of Management at Aarhus University and University College London, invites applications for a 2-year postdoctoral position offering applicants an exciting opportunity to join a new research project on the role of the locus coeruleus-norepinephrine system in learning and decision making. Application deadline: 15th of July 2018. Starting date: 1st of October 2018 or subject to mutual agreement. This project is funded by Lundbeckfonden (http://www.lundbeckfonden.com) and aims to advance our understanding of the locus coeruleus-norepinephrine (LC-NE) system and neural gain by (i) developing new and inexpensive methods for indexing LC-NE activity in learning and decision making tasks using pupil size (pupillometry) and eye movements, (ii) cross-validate the new method with magnetoencephalography (MEG) signatures of neural gain, and (iii) using these methods to investigate the role of the LC-NE system in balancing the exploration and exploitation in reinforcement learning. Overall, the project aims to advance our understanding of how decision makers balance exploration and exploitation and how they attend to and learn from the environment in doing so. The exploration-exploitation trade-off is relevant in a wide range of situations, for instance, in managerial decision making concerning new investments or in consumer decision making between known and unfamiliar products. Our aim is to build a better understanding of the cognitive processes behind these real world decision problems. The project is a joint collaboration between Jacob L. Orquin at Aarhus University and Ray Dolan at the Max Planck UCL Centre, University College London (UCL) (https://www.mps-ucl-centre.mpg.de/en) The successful candidate is expected to contribute to the overall objectives of the project by being involved in all phases of the project, including formulating research questions, experimental designs, analyses, and writing articles. The position is research-oriented, but may involve teaching assignments depending on the interests of the candidate. The candidate will be based at Aarhus University, but will receive an Honorary contract at University College London as parts of the project will be carried out at the Max Planck UCL Centre and Wellcome Centre for Human Neuroimaging at UCL. The candidate will be affiliated at Aarhus University and the Max Planck UCL Centre, London. It is therefore a requirement that the candidate is willing to be in London for a certain period of the project. Candidates must hold a PhD relevant to the academic areas of the project and have experience with data analysis and programming of experiments in at least one programming language such as R, Python, or Matlab. Experience with one or more of the following research areas is desirable: i) eye tracking and pupillometry ii) neuroimaging techniques such as fMRI or MEG iii) computational modeling such as reinforcement learning iv) basic or applied decision making theory. For further information about the position and the department, please contact Jacob L. Orquin, Tel.: +45 22178621, Email: jalo(a)mgmt.au.dk. See the job posting here: http://www.au.dk/om/stillinger/videnskabelige-stillinger/stillinger/Vacancy… Apply online here: https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationFor…

July 5, 2018

EPSRC funded Postdoctoral Research Fellow in Computational and Mathematical Neuroscience

by James Rankin

*Postdoctoral Research Fellow in Computational and Mathematical Neuroscience* Location: College of Engineering, Mathematics, Physical Sciences at the University of Exeter (Streatham Campus) Job reference: P62935 Application closing date: *29/07/2018* Interview date: *10/08/2018* Salary From £34,520 on Grade F, dependent on knowledge, skills and experience This new full-time post is available from *1st October 2018* on a fixed term contract basis for *2 years*. The College of Engineering, Mathematics and Physical Sciences, wishes to recruit a Postdoctoral Research Fellow to participate in the project Neural oscillator network modelling of auditory stream segregation. This EPSRC funded post is available from 01/10/2018 for 2 years. The successful candidate will join the Systems Biomedicine and Dynamical Systems research groups housed in the recently launched GBP 50m Living Systems Institute at the University of Exeter. These groups house over 50 researchers applying mathematical and computation approaches to study problems in neuroscience, biology and healthcare. The project will benefit from input from colleagues with expertise in neural networks, bifurcation theory, coupled oscillators and numerical methods. The Post: The project will involve developing mathematical and computational models to deepen our understanding of auditory stream segregation. This is a fundamental process in the auditory system that allows us to separate out and focus on distinct sound streams (e.g. voices) in a dynamic noisy environment. This process involves competition in order to resolve different interpretations of a given environment (e.g. different groupings of objects). Many aspects of this process are still not well understood, such as where in the brain segregation of streams is achieved, how the streams are encoded and the driving neural mechanisms. This project will develop a biologically motivated model inspired by a broad cross section of modelling and experimental literature (from anatomical, neurophysiological, brain imaging and behavioural experiments). The models developed will be based on networks of coupled neural oscillators. Neural oscillations are understood to be vital for the encoding of temporal information in auditory streaming. Dynamical systems theory including bifurcation analysis and numerical methods will provide the necessary tools to understand the dynamics of the models developed. About you: - Candidates with quantitative backgrounds (Mathematics, Physics, Engineering) and from Neuroscience programmes with a strong computational component are encouraged to apply. - Applicants will possess a PhD or equivalent in one of these areas or a related field. T - You will also be able to work collaboratively and supervise the work of others. - Programming experience in a high-level language (e.g. Matlab, Python, C/C++) is a must and knowledge of dynamical systems theory is a plus. - Experience working on interdisciplinary projects involving the application of mathematical and computational tools to problems in Biology or Neuroscience will be viewed favourably. The University offers some fantastic benefits including 41 days leave per year, options for flexible working, numerous discounts at leading retailers, onsite gym, cycle to work scheme, sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to 6 weeks full pay), and a new Fertility Treatment Policy; and a stunning campus environment in the heart of Exeter. If you are not currently in Exeter please have a look at our website for some further information on what a beautiful part of the country we are based in. *For further information, please contact Dr James Rankin, email j.a.rankin(a)exeter.ac.uk <j.a.rankin(a)exeter.ac.uk>* https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC1 07GF.open?VACANCY_ID=258266M3V7&WVID=3817591jNg http://emps.exeter.ac.uk/mathematics/staff/jar226 The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.

July 4, 2018

Research Associate /Senior Research Associate positions

by Jeffrey Bowers

Research Associate /Senior Research Associate positions University of Bristol Salary: £32,548 to £41,212 per annum Deadline: 20th August 2018 We are seeking to appoint talented computational modelers to join an ERC-funded project entitled “Generalisation in Mind and Machine”. The project explores how well neural networks support human-like generalisation across a range of tasks. Two postdoctoral fellows and two PhD students are working on project, and we are looking to hire two more persons with PhDs (or potentially BSc) in computer science or cognitive psychology (or a related field) with experience working with neural networks. In contrast with the large community of researchers focused on improving the performance of deep networks for applied reasons, the goal of this project is to explore what neural networks tell us about how the brain works. More specifically, the team will be working on questions of generalisation in the domains of object identification, word identification, short-term memory, and games, amongst other areas. A core issue is whether networks need to be include symbolic computations to succeed on some forms of generalisation. For overview of some of the issues we are exploring in the project see: Bowers, J. S. (2017). Parallel Distributed Processing Theory in the Age of Deep Networks. Trends in Cognitive Sciences, 12, 950-961. For more details regarding the project see our ERC website: http://mindandmachine.blogs.bristol.ac.uk/ This post is available from Oct 1st 2018 (but flexible about start date) and currently has funding secured until Oct 1st 2021. To apply go to: https://www.jobs.ac.uk/job/BKR397/erc-research-associate-senior-research-as… If you have any questions, please get in touch with Jeff Bowers at: j.bowers(a)bristol.ac.uk<mailto:j.bowers@bristol.ac.uk> Jeff Bowers

July 4, 2018

Post-doc in Neurophysiology of Attention at UCLA

by Bisley, James

Apologies for cross-posting We invite applications for a fully funded post-doc position studying the neurophysiology of attention. The work will include recording from &/or the reversible inactivation of cortical areas MT, LIP and FEF while animals perform a visual search task utilizing moving dot patterns. For more information about the sort of work done in the lab, check out our publications at http://www.bri.ucla.edu/people/james-w-bisley-phd. Applicants should have a strong background in systems neurophysiology, behavioral training or computational neuroscience and be comfortable working independently on all aspects of the project. Previous experience with NHP recording and data analysis is desirable. Candidates should hold a PhD in neuroscience, psychology or a related discipline. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a brief statement of research experience and interests, expected date of availability, and the contact information for two references to James Bisley (jbisley(a)mednet.ucla.edu<mailto:jbisley@mednet.ucla.edu>). Cheers, James ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

July 3, 2018

Second Call for the Athenea3i postdoc program at the University of Granada

by jtorres

Dear all Please find attached below information concerning the second call for Athenea3i postdoc positions program at the University of Granada (Spain)(similar to Marie Curie postdoc positions). Our group (Granada Computational Neurophysics Lab) is accepting suitable candidates for such positions to be supervised by our Lab members (see our Lab web page http://ergodic.ugr.es/neurofisica/neurofisica.html for further information concerning our group). With my best wishes Joaquin J. Torres Professor of Condensed Matter Physics Granada Computational Neurophysics Lab University of Granada www.ugr.es/~jtorres ============= Dear researcher, The University of Granada (UGR) announces the opening of 10 vacancies for postdoctoral studies. These vacancies are designed for excellent researchers who have experience in the fields of innovation and knowledge transfer. These postdoctoral contracts will last for 3 years with a maximum gross salary of €4,000 per month and €1,500 in supplements depending on different factors such as the researcher's family situation, or aspects derived from the execution of the projects (required training, planned visits, etc.). Selected researchers will join multidisciplinary teams to execute research, innovation and development projects conducted at the UGR and will therefore need a supervisor from this institution. Moreover, researchers will be able to spend time in a different academic institution for an uninterrupted period of between 3 and 9 months, to be scheduled between the 10th and the 18th months of the research project. Researchers may spend this time in either the academic or the business sector. In addition, they may also spend a minimum of 3 months and a maximum of 6 months during the last 18 months of the research project in another non-academic institution. Thematic fields: · Environmental Sciences and Chemistry (ENV-CHE) · Economics, Social Sciences and Humanities (ECO-SOC) · Information Science and Engineering (ENG) · Life Sciences (LIFE) · Physics and Mathematics (PHY-MAT) The application period lasts from 4 September to 28 September 2018. The incorporation into the University of Granada is expected to take place between July – September 2019. For more information concerning the call and available vacancies (requirements, activity to be carried out and remuneration), please refer to the webpage: https://athenea3i.ugr.es/ If you have any further questions, do not hesitate to contact us: athenea3i(a)ugr.es Yours faithfully, International Research Projects Office (OFPI) - Promotion & Advisory Unit Tel. (+34) 958 242 701 Vice-Rectorate for Research and Knowledge Transfer University of Granada

July 3, 2018

project co-founder

by aris giachnis

Hi all, I am a software developer/tech founder so I am a bit out of my water here but I am looking for a partner with neuroscience background after my previous one left the project for academia. Although I cannot share all details about it (but can do upon private request/contact) I can say it is very interesting and involves using neuroscience for security purposes. The technical aspects involve measuring evoked potentials (p300) and developing some algorithms that provide high confidence intervals and later building a hardware prototype. We can be using devices such as OpenBCI for prototyping. There needs to be research on beta testers so it's mainly an RnD project for at least one year. Anyone that is interested in cooperating either as a side project or full time (but without compensation currently until we get funding but getting a piece.of the project is welcome to message me for more information. I am based in Amsterdam but can travel too, face to face is always better. best regards, aris Get Outlook for Android<https://aka.ms/ghei36>

July 3, 2018

Bernstein Network Information Booth at FENS Forum 2018 in Berlin

by Kerstin Schwarzwaelder

Dear colleagues, The Bernstein Network Computational Neuroscience will have an exhibition booth (no. 36) at the upcoming FENS Forum<https://forum2018.fens.org/> in Berlin (July 7 - 11, 2018). The booth will present: * research in the Bernstein Network * open positions * study and training programs * SMART<http://www.smartstart-compneuro.de/>START training program in Computational Neuroscience<http://www.smartstart-compneuro.de/>, * infrastructural facilities: Bernstein Facility for Data Management (G-Node)<http://www.g-node.org/> and Bernstein Facility for High Performance Simulation and Data Analytics <http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/_node.html> (Simulation Laboratory Neuroscience) <http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/_node.html> * Data management service (GIN)<https://web.gin.g-node.org/> and Electrophysiology Analysis Toolkit (Elephant)<http://www.python-elephant.org/> During the following times, G-Node will give demo presentations of their data management service (GIN)<http://www.g-node.org/gin> for storing, sharing, and publishing research data: Sunday, July 8, 14:00-16:00 Monday, July 9, 11:00-13:00 Tuesday, July 10, 14:00-16:00 Wednesday, July 11, 11:00-13:00 Also, there will be a demonstration on data analysis using the Electrophysiology Analysis Toolkit (Elephant)<http://www.python-elephant.org>: Sunday, July, 8, 11:00-13:00 Monday, July 9, 14:00-16:00 Tuesday, July, 10, 11:00-13:00 We are looking forward to welcoming you at our booth no. 36! Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> 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 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

July 3, 2018

[Jobs] Researcher at Vicarious

by Swaroop Guntupalli

Vicarious is a start-up building artificial intelligence based on insights from cognitive science and neuroscience. See a recent profile in science magazine: http://www.sciencemag.org/news/2018/05/how-researchers-are-teaching-ai-lear… See our publications for a sample of our research: https://www.vicarious.com/research/ We are funded for the long term to work on the most important problems in the field of Artificial Intelligence. We have a few open positions for researchers with the following qualifications: - PhD in CS/EE/Neuroscience/Physics or related disciplines - Good understanding of probabilistic graphical models, deep learning and other machine learning algorithms - Excellent programming skills - Experience with computer vision algorithms - Computational neuroscience experience and/or interest in the workings of the neocortex Please visit https://www.vicarious.com/careers/ for more details. Feel free to email me if you are interested and would like to know more. Thanks, Swaroop Guntupalli Researcher at Vicarious swaroop(a)vicarious.com

July 1, 2018

Postdoc position in calcium imaging of Fragile X zebrafish

by Geoffrey Goodhill

Geoff Goodhill's lab at the University of Queensland is looking for an experimental postdoc to analyse a zebrafish model of Fragile X syndrome using behavioural and calcium imaging approaches. The salary range is AU$81k-87k (US$60-64k). We are particular interested in how neural coding emerges over development in these fish. The project will involve both high-speed video recording of zebrafish larvae behaviour, and large scale 2-photon recording of GCaMP6s neural activity using confocal and light-sheet microscopy. The successful candidate will work closely with an interdisciplinary team with a strong computational focus. A new review paper discussing some of the relevant background is Avitan L & Goodhill GJ (2018). Code Under Construction: Neural Coding Over Development Trends in Neurosciences, online June 20th https://www.cell.com/trends/neurosciences/abstract/S0166-2236(18)30158-9 The University of Queensland (UQ) is ranked in the top 3 universities in Australia and the top 100 in the world. The Goodhill lab is part of the Queensland Brain Institute at UQ, a leading neuroscience institute consisting of over 40 labs, including ~100 PhD students and ~100 postdocs. For more details and to apply please see the following link: http://jobs.uq.edu.au/caw/en/job/504708/postdoctoral-research-fellow The closing date is July 25th AEST. Informal enquiries are also welcome. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

June 30, 2018

PhD and post-doctoral positions in Electrophysiology / Brain-machine interface at the Université de Sherbrooke, Canada

by Jean Rouat

Dear list, We have PhD and one post-doctoral positions in our research group. Please communicate with my colleague Eric Plourde for further details. 1) PhD positions in Electrophysiology / Brain-machine interface at the Université de Sherbrooke, Canada (co-supervision at the University of Minnesota, USA) for IC implants Auditory implants aim at restoring audition by stimulating a specific structure of the auditory system with an electrode array. The most successful auditory implant, the cochlear implant that stimulates the spiral ganglions in the cochlea, has allowed more than 325 000 people worldwide to regain audition. However, cochlear implants are not appropriate for patients that have a disfunctionnal auditory nerve or for which the cochlea cannot be implanted. Alternative implants have therefore been developed such as the auditory midbrain implant (AMI) that stimulates a structure named the inferior colliculus (IC). One aspect that limits the development of the AMI is the lack of knowledge regarding the optimal approach to stimulate the IC. The proposed project aims at gaining more insight into the optimal design of stimulation patterns for the IC. Objectives: Design optimal inferior colliculus stimulation patterns using adaptive filters specifically adapted for neural signals: the neural activity will be recorded in the auditory cortex and optimal stimulation in the inferior colliculus will be evaluated using a closed-loop approach. A financial support will be provided. Requirements: - Excellent academic record. - Master’s degree in biomedical engineering, electrical engineering, computer engineering, physics, biophysics or other related field with a strong background in mathematics and signal processing. - Willing to conduct experiments in electrophysiology to record the neural activity of the auditory system. No prior knowledge in electrophysiology is required. - Excellent ability to communicate in English, knowledge of French is considered an advantage. Interested candidates should send their CV, academic transcripts and relevant publications as well as the names of 2 references to Prof. Eric Plourde. Contact: Eric Plourde, Eng., Ph.D., Université de Sherbrooke (eric.plourde(a)usherbrooke.ca) 2) Postdoctoral position in statistical signal processing / Brain-machine interface at the Université de Sherbrooke A retinal prosthesis aims at giving back vision to blind people. To do so, an external camera captures visual scenes and sends this information to an electrode array, which is positioned in the eye, in order to stimulate directly the retina. The electric pulses from the electrodes are sent to the brain along the optic nerve and interpreted as sight. The objective of this study is to decode a perceived image using Bayesian decoding approaches. Many types of patterns can be used to stimulate the different electrodes comprising the array and not all are efficient. The research proposal aims at simulating a perceived image using an adapted stimulation approach and Bayesian decoding and comparing it with an image obtained with traditional stimulation approaches. The contract is for a 6-months period. Requirements: - Ph.D. degree in statistical signal processing, biomedical engineering, bio-informatics or other related field - Proven publication record - Excellent ability to communicate in English. Interested candidates should send their CV, academic transcripts and relevant publications as well as the names of 2 references to Prof. Eric Plourde. Contact: Eric Plourde, Eng., Ph.D., Université de Sherbrooke (eric.plourde(a)usherbrooke.ca) ==================================================== The Université de Sherbrooke is a French-speaking institution located in the province of Quebec, Canada, and the heart of an international research pole. It is host to more than 40 000 students from over 120 different countries worldwide. (Source: UdeS) ==================================================== Jean Rouat, Prof., coord. IGLU, http://iglu-chistera.github.io Université de Sherbrooke Université de Montréal Member of the centre for Interdisciplinary research Professeur titulaire, Professeur associé in Music Media and Technology NECOTIS: Computational Neurosciences Vision, neuroscience Lab McGill Schulich School of Music and Intelligent Signal Processing FAS- Sciences biologiques 527 Sherbrooke St. West Faculté de génie, GEGI, C1-3108 90 avenue Vincent-d’Indy Montreal, Qc, 2500 boul. de l'université Montréal, Qc, Canada, H3A 1E3 Sherbrooke, Québec Canada, H3C 3J7 Canada, J1K 2R1 Tél.: +1(819)-821-8000 ext. 63864 http://www.gel.usherbrooke.ca/rouat http://www.gel.usherbrooke.ca/necotis http://www.usherbrooke.ca/gelecinfo/fr/pers/profs/rouj-fr/ Jean.Rouat(a)umontreal.ca ou Jean.Rouat(a)usherbrooke.ca Publications: https://www.gel.usherbrooke.ca/rouat/publications/publiDeJRouat.html

June 29, 2018

PhD opening in Machine learning for Neural Encoding of Naturalistic Auditory Scenes

by Nicolas Farrugia

Dear list, We invite applications for a fully-funded PhD between Université de Montréal, computer science department, and IMT Atlantique, Brest, France. The goal is to model the perception of complex natural auditory stimuli using signals on dynamic brain graphs, and deep learning. Details are here : https://t.co/963vd9Pizg and below Deadline for application is July 15th. The project aims to model natural auditory perception using artificial neural networks and graph signal processing, applied to human functional magnetic resonance imaging (fMRI) and electroencephalograph (EEG) data. Recent advances in artificial intelligence are largely due to the outstanding performance obtained by deep neural networks on the classification of composite natural stimuli. Deep learning however still faces important challenges with natural auditory perception [1], in particular in complex, noisy scenes involving several simultaneous sources. This thesis will use human neuroimaging data to improve the ability of artificial networks to classify natural auditory stimuli. Recent works have demonstrated the feasibility of building artificial models to link computational musical features with brain activity [2]. Such models perform as well as human listeners on both music, and simple speech discrimination tasks [3]. The internal layers of the deep networks have also been used to predict brain activity related to natural sounds, by modeling each individual voxel of fMRI activity using combinations of feature maps [3]. We propose to investigate extensions of the current approaches to consider graph convolutional networks [4], signal processing on graphs [5], and to model temporal signals on dynamic graphs [6]. We will build a series of artificial models, using extensive recordings of EEG/fMRI brain activity acquired from participants performing auditory tasks of increasing complexity. This PhD project is a collaboration between the laboratories of Dr. Nicolas Farrugia and Dr Vincent Gripon (Brain Inspired Artificial Intelligence Project, at IMT Atlantique, Brest, France), and the lab of Dr. Pierre Bellec (NeuroMod - Courtois Project on Neuronal Modelling - CRIUGM, Department of Computer Science and Operational Research, Université de Montréal, Montréal, Qc, Canada). The candidate will be expected to share their time between Montreal and Brest. IMT Atlantique is a public technological university focusing on the training of engineers at the MSc. level and junior researchers at the PhD level. Université de Montréal is a world-renowned institution, training elite scientist, and is currently one of the main hubs for artificial intelligence and neuroinformatics research in North America.

June 29, 2018

The Journal of Mathematical Neuroscience - recent articles

by Stephen Coombes

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modeling and analysis of all areas of neuroscience. The new Impact Factor of the journal is 2.414 The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Investigating the Correlation–Firing Rate Relationship in Heterogeneous Recurrent Networks Andrea K. Barreiro and Cheng Ly https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Effect of Neuromodulation of Short-term Plasticity on Information Processing in Hippocampal Interneuron Synapses Elham Bayat Mokhtari, J. Josh Lawrence and Emily F. Stone https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Analysis of an Attractor Neural Network’s Response to Conflicting External Inputs Kathryn Hedrick and Kechen Zhang https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Saddle Slow Manifolds and Canard Orbits in R^4 and Application to the Full Hodgkin–Huxley Model Cris R. Hasan, Bernd Krauskopf and Hinke M. Osinga https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Kernel Reconstruction for Delayed Neural Field Equations Jehan Alswaihli, Roland Potthast, Ingo Bojak, Douglas Saddy and Axel Hutt https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… All articles are Open Access. ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

June 28, 2018

Postdoc position in Computational Neuroscience - CRM Barcelona

by Klaus Wimmer

A fully funded POSTDOC POSITION in computational neuroscience is available in the lab of Klaus Wimmer, Computational Neuroscience Group at the CRM, Barcelona, Spain. *Profile* We are looking for an enthusiastic and scientifically curious researcher with a strong interest in computational neuroscience. The perfect candidate has a strong mathematical, physical or engineering background, scientific programming skills (Matlab, Python), and a keen interest in biological neural systems. Knowledge in computational neuroscience, dynamical systems, machine learning or advanced statistics is a plus. Good team spirit is a must. *Research topic* The neural basis of decision making and working memory has been studied extensively, yet our understanding of how distributed circuits in the brain perform these cognitive functions is only at the beginning. Models of cortical circuits can shed light on the underlying neural network dynamics. The Postdoc will work on building such models and on cutting-edge analysis of large-scale neural activity recordings (neuronal population recordings, fMRI, EEG). *The lab* The Computational Neuroscience Group is based at the Centre de Recerca Matemàtica at the campus of the Universitat Autònoma de Barcelona. It is a joint effort of Alex Roxin and Klaus Wimmer, and forms part of a larger network of theoretical and systems neuroscience labs in Barcelona. The successful candidate will benefit from a vibrant and stimulating research community and will have the opportunity of enjoying a lively city. More information can be found at: https://sites.google.com/view/wimmerlab *How to apply* Interested candidates should e-mail their application as a single pdf file to Klaus Wimmer, kwimmer(a)crm.cat, with the subject “Postdoc 2018”. The application should include: (1) CV with publication list, (2) a brief description of research experience and interests, (3) contact information for two references. The position is available immediately and applications will be accepted until it is filled. Informal inquiries are welcome. -- Klaus Wimmer Ramón y Cajal researcher at Centre de Recerca Matemàtica Campus de Bellaterra, Edifici C 08193 Bellaterra (Barcelona) Spain Tel. +34 935 86 85 15 https://sites.google.com/view/wimmerlab

June 27, 2018

fully funded PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany

by Laurenz Wiskott

Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for a PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see http://www.ini.ruhr-uni-bochum.de/PEOPLE/wiskott/ Research topics: We are looking for an outstanding candidate who will be working on a model of the hippocampus and neocortex investigating the interplay between episodic memory and semantic memory. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with humans by our experimental partners in Bochum and Münster. The position is part of a team working jointly on developing a system-level model of hippocampal function for memory and navigation. This is being doing in close interaction with a team working on similar questions from the machine learning perspective. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. Requirements: Candidates should have an education (equivalent to a MSc) in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills (ideally in python) as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single file pdf to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.

June 27, 2018

2018 NEURON Summer Course reminder

by Ted Carnevale

If you are interested in this year's NEURON Summer Course but haven't signed up yet, you should act quickly because only a few seats remain available, and the registration deadline is July 16. The course runs from Monday, August 6, through Saturday, August 11, and will be held at Emory University in Atlanta, Georgia. It will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/static/courses/summer2018/summer2018.html --Ted

June 26, 2018

Save your space today: FENS Satellite Symposium "From Scanner to Bedside"

by Markus Butz Ostendorf

Dear colleagues, My apologies for cross postings. There are a few spaces left on the FENS Satellite Symposium "From Scanner to Bedside - What connectome and gene expression say about brain diseases" on 6 July in the beautiful guest house "Harnack House" of the Max-Planck Society in Berlin-Dahlem. Save your space today by registration via the symposium's website: https://www.biomax.com/symposiums/from-scanner-to-bedside/ Free registration, lunch and refreshments provided! Looking forward to seeing you in Berlin Markus -- Dr. rer. nat. Markus Butz-Ostendorf Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht München, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email: markus.butz-ostendorf(a)biomax.com Website: http://www.biomax.com PGP: https://ssl.biomax.de/pgp/

June 26, 2018

PostDoc available in Neuromorphic Computing within the Human Brain Project

by Thomas Nowotny

Dear all, Within sub-project 9 of the Human Brain Project (HBP) we are looking for a PostDoc to work on applications of neuromorphic computing. You will join a dynamic team of researchers in computational Neuroscience and biomimetic robotic control at the University of Sussex and work on cutting edge prototype neuromorphic systems developed at Heidelberg (BrainScaleS, https://electronicvisions.github.io/hbp-sp9-guidebook/pm/pm.html) and Manchester (SpiNNaker, https://electronicvisions.github.io/hbp-sp9-guidebook/mc/mc_index.html) Excellent programming skills and a keen interest in applying neuromorphic computing to interesting problems will be essential. Previous experience with neuromorphic computing and/or machine learning will be a big plus. Deadline: 24 July 2018 Duration: currently funded until end of March 2020; possible extension into the next funding phase of the HBP. Details & apply: http://www.sussex.ac.uk/about/jobs/research-fellow-in-neuromorphic-computin… Queries: Prof Thomas Nowotny (t.nowotny(a)sussex.ac.uk<mailto:t.nowotny@sussex.ac.uk>) With kind regards, Thomas Nowotny -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873

June 25, 2018

Neuronal morphology and structure workshop at CNS - 2018

by André Castro

Dear all, We are pleased to announce the 4th edition of the Neuronal morphology and structure workshop at [CNS*2018](https://www.cnsorg.org/cns-2018), Seattle, USA. The workshop will be held at the Allen Institute for Brain Science, July 17 . Our confirmed invited speakers are the following: - Hollis Cline (Scripps Research Institute) (keynote) -- "In vivo time-lapse imaging analysis of neuronal structure and functional plasticity" - Ruth Benavides-Piccione (Instituto Cajal, Spain) -- "The microanatomy of pyramidal cells" - Staci Sorensen[,](http://www.treestoolbox.org/CNS2018_dendrites_workshop/speakers… (Allen Institute, USA) -- "Morphological, electrophysiological and transcriptional descriptions of cortical cell types" - Erik De Schutter (OIST, Japan) -- "The Purkinje cell dendrite causes its unique firing rate-dependent phase response curve" - Uygar Sümbül (Allen Institute, USA) -- "Quantifying neuroanatomy" - Lida Kanari (EPFL, Switzerland) -- "Randomness and structure in artificially generated neuronal networks" - Casey Schneider-Mizell (Janelia Research Campus, USA) -- "The neuroanatomy of connectivity in the Drosophila larva" - Kurt Haas (University of British Columbia, Canada) -- "Dynamic morphometrics: Rapid time-lapse imaging and quantification of experience-driven dendrite growth" - Sophie Laturnus (Universität Tübingen, Germany) -- "A systematic comparison of neural morphology representations for cell type discrimination" - Hongkui Zeng (Allen Institute, USA) -- ''Morphology as a key feature for neuronal cell type classification'' Please see our [website](http://www.treestoolbox.org/CNS2018_dendrites_workshop/index.html) for more details. Organising Committee: Alexander Bird (Ernst Strüngmann Institute and FIAS, Frankfurt) André Castro (Ernst Strüngmann Institute and FIAS, Frankfurt) Hermann Cuntz (Ernst Strüngmann Institute and FIAS, Frankfurt)

June 20, 2018

[jobs][phd]PhD Studentship: Being in the Other's Shoes - Social Cognition in Babies and Robots'

by Dimitri Ognibene

We are looking for the perfect interdisciplinary PhD candidate to find out how humans learn to observe others, how they learn that they are not alone. Are you curious about this? Apply! https://www.jobs.ac.uk/job/BKG746/phd-studentship-being-in-the-others-shoes… The Schools of Computer Science and Electronic Engineering and Psychology in the Faculty of Science and Health at the University of Essex has an interdisciplinary PhD studentship available focusing on the theme ‘Being in the other’s shoes – Social cognition in babies and robots’. This studentship commences from 14 January 2019, the successful applicant will receive a scholarship for three years (subject to satisfactory progression). The studentship includes: a fee waiver equal to the Home/EU fee (for 2018/19, £ £4,410). International students will need to pay the balance of their fees. a stipend of £14,777 in 2018-19 adjusted according to the directives of the Research Councils UK. In a highly interdisciplinary environment, the PhD student will investigate the role of embodiment in social cognitive development by formulating computational theories, testing them through experimental studies with infants, and closing the loop by re-enacting the experiments with state of the art robots available in the Essex robotics lab. The applicant will also have the opportunity to perform empirical studies and computational modelling on social intelligence to examine disorders of social cognition (lack of engagement, inability to adopt others perspective) and validate the architecture in end user environments (for example robotic companions in homes, hospitals etc.). The University’s centre for Brain Science accounts for one of the most comprehensive and equipped laboratories for Developmental Cognitive Neuroscience in the UK’s, which has been featured in media <http://www.bbc.co.uk/news/av/uk-england-suffolk-26574823/university-of-esse…>. The successful applicant will be part of The Centre for Computational Intelligence, supervised by Dr Mohan and Dr Ognibene and also part of The Centre for Brain Science (Psychology), supervised by Dr Filippetti and Dr Rigato. Address additional questions to: Dr Mohan, (CSEE) vishwanathan.mohan(a)essex.ac.uk <mailto:vishwanathan.mohan@essex.ac.uk> (PI), Dr Ognibene (CSEE) dimitri.ognibene(a)essex.ac.uk <mailto:dimitri.ognibene@essex.ac.uk>, Dr Filippetti (PSYCH) m.filippetti(a)essex.ac.uk <mailto:m.filippetti@essex.ac.uk>, Dr Rigato (PSYCH) srigato(a)essex.ac.uk <mailto:srigato@essex.ac.uk>. -- Dimitri Ognibene, PhD Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ <http://sites.google.com/site/dimitriognibenehomepage/> Skype: dimitri.ognibene -- Dimitri Ognibene, PhD Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ Skype: dimitri.ognibene

June 19, 2018

Tenure-track position in Data Analytics and Modeling in Frankfurt, Germany

by Matthias Kaschube

The Department of Computer Science and Mathematics at the Goethe University Frankfurt invites applications for a tenure-track position in Data Analytics and Modeling at the rank of Assistant Professor. Fields of interest include computational neuroscience, machine learning, data mining, and computer vision. We expect the candidate to possess an excellent scientific track record. Experiences with interdisciplinary and/or international collaborations and actively acquiring third-party support are advantageous. The professorship is embedded in the attractive research landscape in the Frankfurt area within and outside of the university, e.g.: https://www.informatik.uni-frankfurt.de/index.php/en/forschung-en <https://www.informatik.uni-frankfurt.de/index.php/en/forschung-en> https://fias.institute/en/ <https://fias.institute/en/> http://www.rmn2.de <http://www.rmn2.de/> The initial tenure-track appointment as Assistant Professor is for six years. The invitation to apply aims to reach early-stage researchers, who have finished their doctorate within the past four years at the date of application. Upon positive evaluation, the incumbent will be promoted to a permanent position at a higher level (W2, corresponding to Associate Professor). The designated salary for the position is initially based on “W1” of the German university scale or equivalent. Goethe University aims at increasing the number of women in research and teaching and therefore particularly encourages qualified female scientists to apply. Applications of scientists from abroad are explicitly requested. Severely disabled applicants with equal qualification and aptitude will be given preferential consideration. Qualified academics with an excellent, internationally recognized research record are invited to submit their application with curriculum vitae (scientific and professional experience), a list of publications (including conference proceedings), a record of teaching activities (including tutor work), a draft of three pages at most on present and planned research, a record of actively acquired third-party funding (including prizes and fellowships), certificates and documents until 23 July 2018 in electronic form (as a single pdf-file) to the Dean of the Department of Computer Science and Mathematics, e-mail: bewerbung(a)fb12.uni-frankfurt.de <mailto:bewerbung@fb12.uni-frankfurt.de> For further details on the position see http://www.uni-frankfurt.de/45303044/fb12#DAM_eng <http://www.uni-frankfurt.de/45303044/fb12#DAM_eng> If you have questions about the position please contact Matthias Kaschube, kaschube(a)fias.uni-frankfurt.de <mailto:kaschube@fias.uni-frankfurt.de>

June 19, 2018

Post-doc in event-driven perception for robots

by Chiara Bartolozzi

The Event-driven perception for robotics (EDPR) laboratory (https://edpr.iit.it/ ) with the iCub Facility, Istituto Italiano di Tecnologia (IIT) is seeking to appoint a postdoctoral fellow, under the supervision of Dr. Chiara Bartolozzi. The selected candidate will join the interdisciplinary team of the iCub project. She/he will contribute to the development of new skills of the iCub robot, based on event-driven sensing. We are looking for a talented and enthusiastic postdoc who will join our team to develop models and architectures capable of interpreting and learning from spatio-temporal information, to extract relevant information and plan appropriate behavior. In particular, the candidate will be in a unique position to exploit recent advances in machine learning, in combination with novel biologically inspired sensors and the accompanying biological-grounded learning models. For full details: https://edpr.iit.it/openings/771:post-doc-position-in-event-driven-percepti… For even more details write to chiara.bartolozzi(a)iit.it<mailto:chiara.bartolozzi@iit.it>

June 19, 2018

Research Associate in Data Science - Dementia

by Wong-Lin, Kongfatt

A new Research Associate post in Data Science is available at Ulster University, UK. The post will be available from 1st August 2018 to 31st January 2019. The successful applicant will join an existing interdisciplinary research team that consists of computer scientists, biomedical scientists and clinicians, and will focus on predictive analytics and modelling of dementia data. For more info, please see: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTczNDIyNyZ2dF90… or contact me. The closing date for the application is 27th June 2018. Best, KongFatt Wong-Lin ----------- E-mail: k.wong-lin(a)ulster.ac.uk https://www.ulster.ac.uk/staff/k-wong-lin 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

June 18, 2018

Postdoctoral Position: Wireless optogenetics and electrophysiology in rats.

by Fellous, Jean-Marc - (fellous)

Dear List Members The Computational and Experimental Neuroscience Laboratory is looking to a postdoctoral fellow to work on understanding the computational roles of the multiple levels of the rat hippocampal longitudinal axis. The work will involve state-of-the-art wireless optogenetic manipulations and high-density tetrode recordings in the behaving animal. While some background in experimental neuroscience using these techniques is preferred, the position may be suitable for a motivated computational neuroscientist wanting to learn experimental neuroscience techniques. The project is multi-disciplinary and will involve collaborations with other researchers in the US and abroad, therefore good communication skills are required. Applicant should send a cover letter (email is ok), a CV and the names/contact information of at least two references to Dr. Jean-Marc Fellous (fellous at email.arizona.edu) The search is ongoing and is projected to be completed by October 1st, 2018. Applications will be processed as they are received. More information about the laboratory can be found at: http://amygdala.psychdept.arizona.edu/lab.html The CENL and the University of Arizona are committed to maintaining a diverse and inclusive work environment and women and minorities are encouraged to apply. The University of Arizona is an equal opportunity, affirmative action employer. Jean-Marc

June 17, 2018