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Postdoctoral position at Karolinska Institute
by Konstantina Kilteni Feb. 28, 2020

Feb. 28, 2020

We are excited to announce an opening postdoctoral position at our lab in Karolinska Institute, to work on touch and tickle perception during voluntary movements! The main research focus of our lab ( https://ki.se/en/neuro/kilteni-laboratory) concerns how we distinguish self-generated from externally generated sensations. To address this question, we combine psychophysics, neuroimaging (fMRI, EEG) and neurostimulation (TMS) techniques. *What we offer:* - Access to research-dedicated 3T MR scanner, TMS and EEG. - Access to multiple robotic setups to study force, touch and tickle perception, as well as to EMG and motion tracking devices. - A dynamic, interdisciplinary, and international research environment, full of expertise and curiosity. *Requirements:* - A PhD in neuroscience, cognitive science, psychology, biomedical engineering, computer science or a related discipline. - Experience in any of the project’s techniques (psychophysics, fMRI, TMS, EEG). - Keen interest in experimental approaches to study touch perception. - Motivation to work independently as well as in a team environment. Candidates will contribute to all steps of the research from literature review to implementation of study design, data collection, data analysis and preparation of manuscripts. The position is available for 1 year with the possibility for continuation for 1 more year, starting in May 2020 (with some flexibility on the starting date). An application should include a CV, a list of publications, a summary of current work and references. For further information, please follow the link: https://ki.varbi.com/what:job/jobID:320274/ Deadline of applications: *March 19th.* We are very curious and very excited about our research. *Join us!* ---------------------------------------------------------------------------- Konstantina Kilteni | Ph.D. Assistant Professor Department of Neuroscience | Karolinska Institutet Solnavägen 9 | 17165 Stockholm | Sweden http://orcid.org/0000-0002-6887-6434

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BCAM course on Statistical Physics of Neural Networks, Bilbao, Spain, May 11-15, 2020
by Maurizio De Pittà Feb. 28, 2020

Feb. 28, 2020

Dear colleagues, The Basque Center of Applied Mathematics (BCAM) in Bilbao, Spain, is hosting a 1-week course on "Statistical Physics of Neural Networks" by Yonatan Aljadeff (The Weizmann Institute of Science, Israel), during May 11-15, 2020. The course will consist of five lessons of 2-hour each in the morning, with the possibility to deepen the material taught in the class by frontal meetings with Dr. Aljadeff during the rest of the day. This is an excellent occasion to learn about some of the most advanced material in computational neuroscience. The course is tailored to students with a strong background in mathematics and physics, who are either at advanced undergraduate or graduate levels, as well as to students who are strongly interested in pursuing doctoral research in computational neuroscience. The program of the course is as follows: 1. Random matrices (RMT). The circular and elliptic laws. A statistical physics derivation of Girko’s circular law–the spectral density of an asymmetric random matrix; and the elliptic law–the spectral density for a random matrix with correlations. 2. Transition to chaos in random networks. Dynamic mean-field analysis (DMFT) of a neural network model with random synaptic weights. 3. Random networks with structure. Extension of the RMT and DMFT to partially random and partially structured systems, e.g. systems with cell-type dependent interactions, distance-dependent interactions, heterogeneous and correlated degree distributions, etc. 4. The classical perceptron. Gardner's calculation by Replica method of the capacity of a classical perceptron. 5. Perceptrons in neuroscience. Modern applications of perceptron theory: relating predictions of the synaptic weight distribution to empirical distributions; robustness to noise via excitation-inhibition balance; learning. Attendance to the course is free, but online registration is mandatory before May 8, 2020. There is also limited support available for Spanish and International students (outside of The Basque Country). Students who are willing to apply for financial support must register to the course before March 6, 2020, and indicate their will to apply for funding during the registration process. Registration and further information on the course may be retrieved from the link below: http://www.bcamath.org/en/courses/2020-05-11-bcam-course Thank you for your consideration. ----- Maurizio De Pitta' Research Fellow Research Line in Mathematical, Computational and Experimental Neuroscience BCAM -- Basque Center of Applied Mathematics https://sites.google.com/site/mauriziodepitta/home

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[Jobs] Early Stage Researchers (ERS) Positions in the EU-Marie Sklodowska-Curie ETN COBRA (COnversational BRAins)
by Alessandro D'Ausilio Feb. 28, 2020

Feb. 28, 2020

Applicants are invited for two Early Stage Researchers (ESR) of EU Marie Sklodowska-Curie Actions (MSCA) to be hosted at the Italian Institute of Technology (IIT). The positions are for a fixed-term of 3 years and the successful applicants are expected to register for PhD at the University of Ferrara, in Translational Neurosciences and Neurotechnologies. The two Early Stage Researchers (ESR) of COBRA H2020 project (G.A. N. 859588), an EU Innovative Training Network of MSCA involving 9 partners, which will train a group of 15 researchers that will be the next generation of researchers to accurately characterize and model the linguistic, cognitive and brain mechanisms deployed by human speakers in conversational interactions with human interlocutors as well as artificial dialog systems. ERS2 Objectives: When people are engaged in meaningful social interaction, they automatically and implicitly adjust their speech, vocal patterns and gestures to accommodate to others. Although these processes have extensively been explored at the behavioral level, very little is known about their neural underpinnings. Prior investigations have shown that suppression of alpha oscillations, overlaying sensorimotor regions, are a possible marker of action-perception coupling during non-speech (Tognoli & Kelso, 2015) and speech based (Mukherjee et al., 2019) interactive tasks. The project, by running dual-EEG recordings, will investigate if behavioral speech alignment translates into identifiable brain oscillatory markers. Key objectives are (i) to develop and validate metrics to quantify phonetic accommodation during natural speech interactions and (ii) to identify electrophysiological markers of between-speaker convergence. Expected results: - A computational pipeline, based on deep-learning methods, to extract phonetic accommodation patterns of speakers engaged in a meaningful social interaction; - A significant contribution to the field of hyper-scanning by exploring the neurophysiological correlates of phonetic convergence during conversations. Based in Ferrara, Italy Full-time three-year contract, starting September 2020 PhD enrolment at: University of Ferrara Main supervisor’s institution: Italian Institute of Technology Main supervisor: Prof. Alessandro D’Ausilio, Prof. Luciano Fadiga Secondments: - AMU (Aix-Marseille Universitè, France): making-up of linguistic material in both Italian and French, contribution to design of experimental set-up and to phonetic analyses (5,5 months); - HU-ZAS (Humboldt-Universität, Germany): Assessment of a repertoire of metrics for measuring phonetic convergence in conversational speech (5 months). Contact: alessandro.dausilio(a)iit.it <mailto:alessandro.dausilio@iit.it> ERS10 Objectives: For adults, mastering the segmental and supra-segmental aspects of a second language (L2) is particularly challenging. Although we know that such a capability is partially maintained during adulthood, we do not know yet how to facilitate effective and long-lasting L2 learning. This project is based on the hypothesis that when people engage in meaningful social interactions, they automatically and implicitly align at multiple levels (Pickering, Garrod, 2013), including the phonetic (Mukherjee et al., 2019) and the facial expression ones. ESR10 will tackle the fundamental scientific question of speech alignment in L2 and whether it drives long-lasting improvements in L2 skills. Key objectives are (i) to investigate the dynamics of alignment in L2 (English) and (ii) to quantify improvements when participants are engaged in a conversation with native speakers. Expected results: - Validation of a set of game-like tools to quantify L2 speech and facial movements alignment; - Exhaustive investigation of alignment in L2, its relation with L2 proficiency before training and long term retention of L2 improvements. Based in Ferrara, Italy Full-time three-year contract, starting September 2020 PhD enrolment at: University of Ferrara Main supervisor’s institution: Italian Institute of Technology Main supervisor: Prof. Alessandro D’Ausilio, Prof. Luciano Fadiga Secondments: - IISAS (Slovak Academy of Sciences, Slovakia): training on methods for analyzing acoustic-prosodic alignment in dialogues (5 months); - DAVI (DAVI, France): training on how to explore facial movement alignment in L2 (5,5 months). Contact: alessandro.dausilio(a)iit.it <mailto:alessandro.dausilio@iit.it> Contract The ESR will be contractually employed for 36 months by the main institution, and will be covered under the social security scheme of the enrolling country. The contract will be compliant with the applicable EC Marie Skłodowska-Curie Actions-ITN general conditions. Experience eligibility requirement: Eligible applicants must be in the first 4 years of their research careers (full-time equivalent research experience) at the date of the recruitment (measured from the time the Master’s degree has been obtained). Eligible applicants must not hold a Doctoral Degree yet. Mobility eligibility requirement: The fellow must not have resided and not have carried out their main activity (work, studies, etc.) in Italy for more than 12 months in the 3 years immediately prior to the recruitment date,. Selection process Applications must contain the following: • An up-to-date CV, without gaps, in order for the selection committee to easily check the mobility and experience requirements. CVs that either do not clearly show the applicant’s past experience, or have gaps, will be considered ineligible; • A letter exposing her/his motivation for a COBRA PhD fellowship, and her preference for two of the fifteen PhD projects proposed in COBRA; • At least 1 reference letter (in English) from one former supervisor and/or professor; • The scan of the degree (usually the master’s degree) which would formally entitles her/him to embark on a doctorate, either in the country in which the degree was obtained, or in the country in which the researcher will be recruited. If the degree has not been obtained yet, the applicant will have to provide a declaration of her/his university stating that the degree will be obtained before the expected starting date; • Transcripts of records (document indicating the applicant’s ranking and marks within her/his master’s degree as well as the courses/modules she/he has followed). • The complete application should be provided in the form of one single pdf file, named as follows: lastname-firstname.pdf. THE APPLICATION IS DONE VIA THE COBRA WEBPAGE: https://www.cobra-network.eu/ <https://www.cobra-network.eu/> DEADLINE: MARCH 31st 2020

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Scientific software developer position at the SimLab Neuroscience, Juelich, Germany
by Abigail Morrison Feb. 27, 2020

Feb. 27, 2020

Dear colleagues, We have another scientific software developer position available in the SimLab Neuroscience at the Juelich Supercomputing Centre, Juelich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in developing a modern HPC-amenable simulator for morphologically detailed neuronal networks, and engaging with the neuroscience community. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-061-E… Closing date: 15 March 2020 All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke 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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Postdoc position available - computational modeling and real-time fMRI neurofeedback of language
by Narly Golestani Feb. 27, 2020

Feb. 27, 2020

With the launch of a new ‘NCCR Evolving Language’ (http://www.snf.ch/SiteCollectionDocuments/nfs/Faktenblatt_NCCR_evolvinglang…) which involves nearly 40 different research groups from a large variety of disciplines across Switzerland, we seek to fill a Postdoc position for a four-year project starting in May 2020, or at the selected candidate’s earliest convenience. Our goal is to make progress in understanding the importance of prosody in language processing. To this end, we plan to carry out a set of studies involving both computational modeling of fMRI data and real-time fMRI neurofeedback to understand the mechanisms whereby prosody and rhythm support linguistic processing per se. The computational modeling work will be an extension of our recent work on the neural encoding of acoustic information in speech sounds (https://www.ncbi.nlm.nih.gov/pubmed/31285622) The research will be done in the group of Narly Golestani (www.brainandlanguagelab.org<http://www.brainandlanguagelab.org>) in Geneva, in collaboration with researchers in Switzerland and abroad (Elia Formisano in Maastricht, and Frank Scharnowski in Vienna). Applicants should hold a degree in Biomedical Engineering, Computational Neuroscience, or a related field, and should have solid experience in human brain imaging, and ideally also in computational modelling (i.e. encoding / decoding) of fMRI data, real-time fMRI based neurofeedback, machine learning, statistics and programming. The NCCR places great emphasis on gender diversity and we particularly encourage women to apply. To apply, please send a cover letter, CV, names and contact information of 2-3 references as well as any other relevant documents to Narly.Golestani(a)unige.ch<mailto:Narly.Golestani@unige.ch>. Feel free to contact me should you have any questions. Deadline for application: March 15th 2020 ----------------------------------------------------------------------------------------------------------------------------------------------------------------- Brain and Language Lab Prof. Narly GOLESTANI Department of Psychology Campus Biotech 9 Chemin des Mines, 1202 Genève +41 22 379 53 52 <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>http://www.brainandlanguagelab.org https://twitter.com/brain_lang_lab ----------------------------------------------------------------------------------------------------------------------------------------------------------------- <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>

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Masters fellowships in computational neuroscience within the Interdisciplinary Master in Life Science at ENS/PSL Paris
by boris gutkin Feb. 27, 2020

Feb. 27, 2020

Mathematics of Neural Circuits team (Pi Boris Gutkin, https://lnc2.dec.ens.fr/en/teams/mathematics-neural-circuits) at the Laboratory for Cognitive and Computational Neuroscience, Ecole Normale Superieure Paris France is looking for highly qualified candidates to support for the masters (m1 and m2) fellowship competition within the Interdisciplinary Master in Life Science ENS Paris. Within the framework of the PSL Q-Life Institute of Convergence <https://www.univ-psl.fr/q-life>, a scholarship program offering competitive stipends for students following the Interdisciplinary Master in Life Science (IMaLiS <https://www.enseignement.biologie.ens.fr/spip.php?rubrique44>) has been established to specifically support two categories of students : International students (10,000 €/year), French students with a degree in a scientific discipline other than Life Sciences (6,000 €/year). In addition to providing the fellowship, the program can reserve rooms at the Cité International Universitaire de Paris <http://www.ciup.fr/en/> for some of the students. The deadline is April 17 2020. More details on the program can be found here: https://www.enseignement.biologie.ens.fr/spip.php?article189&lang=fr <https://www.enseignement.biologie.ens.fr/spip.php?article189&lang=fr> For more information and preliminary interview please contact: boris.gutkin(a)ens.fr Boris Gutkin, PhD Research Director CNRS Group for Neural Theory, LNC INSERM U960 Institut d'Etude de la Cognition de l'Ecole normale supérieure Ecole normale superieure, Paris Sciences et Lettres* 29 rue d'Ulm. 75005 Paris, France Phone: +3314432 <tel:%2B33144322674>2956 Internet:http://gnt.ens.fr/ <http://audition.ens.fr/>

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Vacancy for studying the visual cortex
by Pieter Roelfsema Feb. 27, 2020

Feb. 27, 2020

We have an exciting opportunity for a PhD-student or postdoc to work on the neuronal mechanisms for object perception and perceptual organization Project description The perception of objects and their segregation from cluttered backgrounds requires interactions between lower and higher areas of the visual cortex. In this project we will simultaneously record from low-level and higher-level cortical areas of the temporal stream in monkeys trained on tasks that rely on object vision. We compare the activity of neurons in the different brain areas to the tuning of units in deep neural networks, to elucidate the contributions of feedforward and feedback connections between brain areas. We expect from you: You are highly motivated, self-driven with a degree in neuroscience, (neuro)psychology, biomedical sciences, natural sciences, material science, mathematics, physics, etc. A high level of written and spoken English and good programming skills are required. You will have experience with neurophysiological techniques, the analysis of neuronal activity in alert animals, and a background in neuroscience. You should expect from us: • Mentoring, supervision and training • Access to state-of-the art infrastructure • A stimulating international research environment Environment The Netherlands Institute for Neuroscience (www.nin.nl) is the country’s leading fundamental neuroscience research institute. It provides a critical mass of scientists and neuroscience technologies, together with a highly interactive, dynamic, multi-cultural environment. English is the working language of all research groups. Amsterdam is an internationally oriented city and an attractive, progressive and easy-to-integrate environment. The research groups have members from more than 27 nations with backgrounds ranging from philosophy to engineering. Appointment We offer an exciting job at a dynamic research institute and an attractive package of fringe benefits. The position is for a period of 3 or 4 years in total for a postdoctoral researcher or PhD-student, respectively. The first appointment is for one year with an extension for the remaining period pending on an evaluation. Salary The salary will be commensurate with experience and institutional guidelines based on the Collective Labour Agreement for Dutch Universities; CAO NU). Full time monthly salary for a PhD student is € 2.325,- in the 1st year to € 2.979,- in the 4th year before taxes. The starting salary for a postdoctoral researcher depends on experience and ranges from € 3.123,- to € 4.274,-.- before taxes. A 8% holiday allowance and 8.3% year-end bonus are excluded. A 8% holiday allowance and 8.3% year-end bonus are excluded. We offer travel expenses, paid parental leave, flexible working hours, 30 days paid leave per year and help by finding a house. Starting date The position is available from Mid 2020 To apply Please, send your application to l.van.der.vecht(a)nin.knaw.nl<mailto:l.van.der.vecht@nin.knaw.nl> including: 1. A Curriculum Vitae 2. An application letter 3. Two (for PhD applicants) or three (for postdoctoral applicants) reference letters Evaluation of candidates will begin immediately, and continue until the position is filled. We aim to fill the position between April and July 2020. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, nationality, disability, etc.

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Tenure-Track Faculty Position available in machine learning and computational neuroscience
by Lopez, Camila Feb. 26, 2020

Feb. 26, 2020

Tenure-Track Faculty Position in machine learning and computational neuroscience The Center for Neuroscience and Artificial Intelligence (CNAI) and the Department of Neuroscience at Baylor College of Medicine invite applications for a faculty position in machine learning or computational neuroscience. A major goal of the Center is to decipher the brain’s algorithms of perception, learning, motor control and cognition, and to test these algorithms in real-world machine learning applications. The Center aims to advance the field of artificial intelligence and to revolutionize how machine learning impacts society. We are seeking applications at the assistant professor level, but accomplished mid-career or senior scientists at the level of associate or full professor with strong records of research productivity, grant support and a demonstrated collaborative spirit are also encouraged to apply. Research interests may focus on any area related to machine learning and computational neuroscience. The Center for Neuroscience and Artificial Intelligence and The Department of Neuroscience at Baylor College of Medicine are located within a dynamic, collaborative research environment on the Texas Medical Center, with one of the highest densities of clinical, translational, and basic science research facilities in the world. The Neuroscience Department, including primary and affiliated faculty, is a vibrant community with strong ties to Rice University, the Neurological Research Institute (NRI), the University of Texas Health Sciences, and the University of Houston. CNAI has a strong partnership with NeuroEngineering and Data Science faculty at Rice University, and joint appointments with relevant departments at Rice University are possible. Applicants should apply directly to the job posting link: https://career4.successfactors.com/sfcareer/jobreqcareer?jobId=594&company=… First consideration will be given to applications received by March 29, 2020, but applications will be accepted until the positions are filled. Baylor College of Medicine is an equal opportunity employer, committed to building a culturally diverse intellectual community, and encourages applications from women and minorities.

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Workshop "Recent approaches to Graph Convolutional Networks, Graph Representation Learning and Reinforcement Learning"
by Sébastien Lerique Feb. 26, 2020

Feb. 26, 2020

Dear all, The ENS de Lyon (France) is organising a 2-days workshop bringing together researchers in Graph Convolutional Networks, Graph Representation Learning and Reinforcement Learning. Recent years have seen many developments in these related fields, and this workshop will provide two days of close interactions, fostering the emergence of new collaborations. It will take place on the 23-24 March 2020, at ENS Lyon. **Keynote speakers** - Don Towsley (University of Massachusetts) - Michaël Defferrard (EPFL) - Geert Leus (TU Delft) - Bruno Scherrer (Inria, Université de Lorraine) - Andreas Loukas (EPFL) - Sebastien Gerchinovitz (IRT St. Exupéry Toulouse) **Call for Contributions** We call for contributions based on recent works, either published or not, with special emphasis on works by PhD students or young researchers. The scope of the meeting includes the following topics: - Graph Convolutional Networks - Graph Representation Learning - Reinforcement Learning - and of course any combination of the three! There are 6 to 8 available slots for talks, which will be 20 minutes presentation and 10 minutes questions. To submit a proposal, please write to ixxi(a)ens-lyon.fr with a link to the article you wish to present (or a copy in pdf format). **Submission deadline:** 28 February 2020 (Anywhere on Earth) Further information and updates can be found on the website: https://gcn-grl-rl.sciencesconf.org/ Please forward this announcement to your respective communities! Best wishes, Sébastien Lerique

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Postdoc position in computational neuroscience and/or developmental robotics at the University of Tokyo
by nagai.yukie＠mail.u-tokyo.ac.jp Feb. 26, 2020

Feb. 26, 2020

Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory and have the opportunity to pursue interdisciplinary research integrating computer science, neuroscience, cognitive science, psychology, robotics, etc. If you are interested in being considered, please send the required documents to yukie(a)ircn.jp. Postdoctoral Fellow at IRCN, the University of Tokyo https://ircn.jp/en/careers/postdoctoral-fellow-project-researcher-nagai-lab… Cognitive Developmental Robotics Laboratory (Nagai Lab), the University of Tokyo http://developmental-robotics.jp/en/ --------------------------------------------------------------------------------- 1. Job title: Project Assistant Professor / Project Researcher (Postdoctoral Fellow) 2. Starting Date: Negotiable 3. Term: The first contract will be ended on March 31, 2021. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2022. 4. Place of Work International Research Center for Neurointelligence The University of Tokyo, Institutes for Advanced Study 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Qualifications (Required) - Ph.D. in Engineering, Ph.D. in Computer Science or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in neural network, machine learning, computational neuroscience and/or developmental robotics will be preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees’ pension, employment insurance, and workers’ accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications and Selection Process - Applications deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie(a)ircn.jp - Selection Process: All applications will be screened, and only those qualified will be scheduled for an interview (on-site or via video). --------------------------------------------------------------------------------- — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org

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Two fully funded PhD positions in Computational Neuroscience at Georgia State University
by Yaroslav Molkov Feb. 25, 2020

Feb. 25, 2020

> > Two fully funded doctoral student positions in computational neuroscience > for the duration of up to four years with very competitive compensation are > available in the Department of Mathematics and Statistics at Georgia State > University starting in fall 2020. The successful candidates will work > with Dr. Yaroslav Molkov and his collaborators on neural control of > breathing and locomotion. For more details, visit > https://math.gsu.edu/ymolkov/. > > The University: http://www.gsu.edu > Georgia State University is the Southeast's leading urban research > institution. It is on the list of the top 100 public universities for > doctoral degrees awarded. More than 250 fields of study are offered through > some 55 accredited degree programs at the bachelor's, master’s, specialist > and doctoral levels. Our student body is the best qualified and most > diverse in our history. More than 40,000 students are seeking degrees at > Georgia State, and more than 28,000 of them are on campus each semester. > Students come to our campus from every county in Georgia, every state in > the nation and 160 countries. The campus is located in the heart of > downtown Atlanta. > > The Department: http://mathstat.gsu.edu > Currently, the department has twenty seven tenured or tenure-track faculty > members, fourteen lecturers and academic professionals, and about eighty > graduate students. The Department’s faculty members are very active in > research and publication. They regularly publish in top-ranked journals, > more than 1/3 of the research faculty members are supported by various > federally funded grants, and several members have been serving on editorial > boards of journals. They have been directing PhD dissertations and MS > theses within the department, joint with other departments of the College > of Arts and Sciences, and in conjunction with other universities. > > Please apply at http://cas.gsu.edu/graduate-studies/admissions/ > > For additional information, please contact Dr. Molkov, Email: ymolkov > @gsu.edu <fenescu(a)gsu.edu>. > > ================================= > Yaroslav Molkov, PhD > Associate Professor > Department of Mathematics & Statistics/Neuroscience Institute > Georgia State University > 25 Park Place, Atlanta, GA 30303, Room 1415 > Phone: (404) 413-6422 > Email: ymolkov(a)gsu.edu >

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13ᵗʰ Advanced Scientific Programming in Python in Ghent, Belgium, 31 August—5 September, 2020
by Jakob Jordan Feb. 24, 2020

Feb. 24, 2020

13ᵗʰ Advanced Scientific Programming in Python ============================================== a Summer School by the ASPP faculty and the Ghent University https://aspp.school Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location =============== 31 August–5 September, 2020. Ghent, Belgium. Application =========== You can apply online: https://aspp.school/wiki/applications Application deadline: 23:59 UTC, Sunday 24 May, 2020 There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://aspp.school/wiki/faq Participation is for free, i.e. no fee is charged! Accommodation in the student residence comes at no costs for participants. We are trying to arrange financial coverage for food expenses too, but this may not work. Participants however should take care of travel expenses by themselves. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization • Testing and debugging scientific code • Advanced NumPy • Organizing, documenting, and distributing scientific code • Advanced scientific Python: context managers and generators • Writing parallel applications in Python • Profiling and speeding up scientific code with Cython and numba • Programming in teams Faculty ======= • Caterina Buizza, Personal Robotics Lab, Imperial College London UK • Lisa Schwetlick, Experimental and Biological Psychology, Universität Potsdam Germany • Nelle Varoquaux, CNRS, TIMC-IMAG, University Grenoble Alpes France • Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Disease, University of Bordeaux France • Pamela Hathway, Neural Reckoning, Imperial College London UK • Pietro Berkes, NAGRA Kudelski, Lausanne Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin Germany • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin Germany • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland Organizers ========== Head of the organization for ASPP and responsible for the scientific program: • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin Germany Local team: • Nina Turk, Photonics Research Group, INTEC, Ghent University – imec Belgium • Freya Acar, Office for Data and Information, City of Ghent Belgium • Joan Juvert Institutional organizers: • Wim Bogaerts, Photonics Research Group, INTEC, Ghent University –imec Belgium • Sven Degroeve, VIB-UGent Center for Medical Biotechnology, Ghent Belgium • Jeroen Famaey, Department of Mathematics and Computer Science, University of Antwerp – iMinds Belgium • Bernard Manderick, Artificial Intelligence Lab, Vrije Universiteit Brussel Belgium Website: https://aspp.school Contact: info(a)aspp.school

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Vacancy as project assistant and lab manager
by Walter Senn Feb. 24, 2020

Feb. 24, 2020

There is a position available as project assistant and joint lab manager (40-60%) at the Institute of Physiology, University of Bern, Switzerland. Job description You will coordinate the activities of the research groups Petrovici and Senn (roughly 10 people). The groups are working in the field of computational neuroscience and are developing learning algorithms for brain-inspired computing. Additionally, we are developing implementations of efficient computational paradigms in neuromorphic hardware. The groups are part of the Human Brain Project, and within this consortium need administrative and managerial support. You will support us in editing scientific publications and outreach material, organize meetings, ensure timely reporting on science and finances, and will help us in the communication on organizational and administrative issues with partners of the Human Brain Project. We offer insights into the Human Brain project, an exciting European Flagship for Research, mentoring and training, flexible working hours, a stimulating international research environment, salary according to the Swiss University standards, and a working place in the center of Bern, the beautiful capital of Switzerland and UNESCO World Heritage Centre. Qualification We are searching for highly motivated candidates with a degree in natural sciences, preferably neuroscience, (neuro)psychology, biomedical sciences, natural sciences, material science, mathematics or physics. A high level of written and spoken English is required. The ideal candidate will have managerial experience with an understanding of neuroscientific research. Application Please send your CV with an application letter and the name and contact of two references to Walter Senn (walter.senn(a)pyl.unibe.ch <mailto:walter.senn@pyl.unibe.ch>) and Mihai Petrovici (mihai.petrovici(a)pyl.unibe.ch <mailto:mihai.petrovici@pyl.unibe.ch>), with cc to Sabine Herzog (sabine.herzog(a)pyl.unibe.ch <mailto:sabine.herzog@pyl.unibe.ch>). The first evaluation round will begin on March 23rd, 2020. The position will remain open until filled. With best regards Mihai Petrovici and Walter Senn

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Postdoc position at Max Planck Institute for Brain Research in Frankfurt, Germany
by Gjorgjieva, Julijana Feb. 24, 2020

Feb. 24, 2020

We invite applications for a postdoctoral research position at the Computation in Neural Circuits group at the Max Planck Institute for Brain Research in Frankfurt, Germany. We use mathematical and computational approaches to study how neural networks self-organize into functional units from a combination of mechanisms including synaptic, homeostatic and intrinsic plasticity. We investigate different levels from individual synaptic inputs on dendrites to large-scale networks of higher order cortex. We are especially interested in these aspects during cortical development before and shortly after birth when the brain is highly plastic, but general aspects of learning and memory, especially under naturalistic stimuli and behaviors are also of great interest. For our recent work, you can see our latest papers and preprints: http://cns.wzw.tum.de/index.php?id=pubs We collaborate with different experimental research groups in the US, UK, Netherlands and Germany and benefit from interactions with the strong neuroscience community in Frankfurt. Our applications range across animals from rodent to Drosophila and reptiles. Successful applicants can choose from a range of projects including data analysis, theoretical model development and analytical calculations, numerical simulations, and applications to rich datasets from collaborating labs. Applicants should have a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields) and good programming skills (Matlab, C/C++ or Python). The position can start as early as spring 2020. For more information or an informal questions, email me at gjorgjieva(a)brain.mpg.de<mailto:gjorgjieva@brain.mpg.de>. I will also be at Cosyne. To apply for this position, please email the following: 1. A curriculum vitae 2. A description of research interests, including a motivation for why you chose to apply to our group 3. A writing sample, either a manuscript, thesis or code 4. Contact details for 2-3 referees Lookin forward to your applications! ----------------------------------------- Julijana Gjorgjieva, PhD Research Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4, Frankfurt Assistant Professor of Computational Neuroscience Technical University of Munich, WZW Freising office: +49 69 850033 3600 http://cns.wzw.tum.de

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The Electrosensory Cocktail Party Problem - PhD position at Bernstein Center Berlin & Humboldt University (Physics Dep.) available
by Benjamin Lindner Feb. 24, 2020

Feb. 24, 2020

*Weakly nonlinear interactions in an electrosensory cocktail party problem* Within the DFG priority program "Evolutionary Optimisation of Neuronal Processing", we are looking for a PhD candidate to work on the detection of weak signals in the presence of much stronger distractors, a joint project with the experimental lab of Jan Benda (University Tubingen, Germany). The 'cocktail party problem' is here regarded as a general theoretical problem and will be explored by the successful candidate by means of analytical calculations and numerical simulations of stochastic models of spiking neurons. Beyond pursuing purely theoretical approaches, the main goal of this project is to understand weakly nonlinear interactions specifically in the electrosensory system of weakly electric fish, an experimental model system of the Benda lab. In order to get an idea about similar approaches pursued in the past, have a look at some of the joint publications of the Benda lab and the Lindner group: Fisch et al. J. Neurosci. 32, 17332 (2012) Sharafi et al. J. Comp. Neurosci. 34 , 285 (2013) Grewe et al. PNAS 114 E1977 (2017) The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects. Funding is provided for three years, starting within the next three months. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to   me benjamin.lindner(a)physik.hu-berlin.de  (cc to nikola.schrenk(a)bccn-berlin.de) The deadline for applications is March 25, 2020, however, later applications might also be considered. Kind regards, Benjamin Lindner -------------------------------------------------------------------------------------------------------------------- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 6336 Department of Physics Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.408, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html --------------------------------------------------------------------------------------------------------------------

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Scientific software developer position at the SimLab Neuroscience, Juelich, Germany
by Abigail Morrison Feb. 24, 2020

Feb. 24, 2020

Dear colleagues, we have a scientific software developer position available in the SimLab Neuroscience, Juelich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in neuroscientific modelling and simulation as well as the graph analysis and visualization of neuroscience data. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-053-E… All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke 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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Vacancies in learning methods for hierarchical cognitive processing
by Pieter Roelfsema Feb. 23, 2020

Feb. 23, 2020

We have exciting opportunities for 3 PhD-student or postdocs to work on Architectures and learning methods for hierarchical cognitive processing Project description Our recent theoretical insights have allowed a preliminary understanding of how animals learn to represent and memorize the key features of sensory stimuli for the guidance of action based on reinforcement learning (Rombouts et al. PloS Comp Biol 2015; Holtmaat & Roelfsema, Nature Reviews Neuroscience, 2018). The present project focuses on the hierarchical learning of cognitive subroutines, which can be incorporated into larger routines, by trial and error. We aim to develop a biologically plausible learning rules that endow neural networks with the possibility to learn hierarchical task structures and learn and execute cognitive tasks. Topics of interest include - the role of learnable/flexible working memory models in learning and executing hierarchically structures routines. The project is a collaboration between in the Vision & Cognition group (Dr. Pieter Roelfsema) at the Netherlands Institute for Neuroscience and the Machine Learning Lab at the Centrum Wiskunde & Informatica in Amsterdam (Dr. Sander Bohte). We expect from you: You are highly motivated, have a solid computational background, an interest in cognitive neuroscience and good programming skills. You should expect from us: The position involves a temporary appointment for 3-4 years. The first appointment is for one year with extension for the remaining period pending on an evaluation. We offer a competitive salary with excellent secondary benefits and friendly taxes, and also an extremely friendly, interactive and international working environment. Amsterdam is one of Europe's most beautiful and livable cities where almost everybody speaks and understands English, so that candidates need not be afraid of the language barrier. Environment About the NIN The Netherlands Institute for Neuroscience (www.nin.nl) is the country’s leading fundamental neuroscience research institute. It provides a critical mass of scientists and neuroscience technologies, together with a highly interactive, dynamic, multi-cultural environment. English is the working language of all research groups. Amsterdam is an internationally oriented city and an attractive, progressive and easy-to-integrate environment. The research groups have members from more than 27 nations with backgrounds ranging from philosophy to engineering. For more information about the Vision & Cognition groep visit our https://herseninstituut.nl/onderzoek/onderzoeksgroepen/roelfsema-groep/ About Centrum Wiskunde & Informatica Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer science and is part of the Institutes Organisation of NWO. The mission of CWI is to conduct pioneering research in mathematics and computer science, generating new knowledge in these fields and conveying it to trade, industry, and society at large. CWI is an internationally oriented institute, with 160 scientists from approximately 27 countries. The facilities are first-rate and include excellent IT support, career planning, training, and courses. CWI is located at Science Park Amsterdam that is presently developing into a major location of research in the natural sciences in The Netherlands, housing the sciences of the University of Amsterdam and of the Vrije Universiteit as well as several other national research institutes next to CWI. For more information about the CWI ML research group at CWI, please visit our https://www.cwi.nl/research/groups/networks-and-optimization/networks-and-o… Appointment We offer an exciting job at a dynamic research institute and an attractive package of fringe benefits. The position is for a period of 3 or 4 years in total for a postdoctoral researcher or PhD-student, respectively. The first appointment is for one year with an extension for the remaining period pending on an evaluation. Salary The salary will be commensurate with experience and institutional guidelines based on the Collective Labour Agreement for Dutch Universities; CAO NU). Full time monthly salary for a PhD student is € 2.325,- in the 1st year to € 2.979,- in the 4th year before taxes. The starting salary for a postdoctoral researcher depends on experience and ranges from € 3.123,- to € 4.274,-.- before taxes. A 8% holiday allowance and 8.3% year-end bonus are excluded. A 8% holiday allowance and 8.3% year-end bonus are excluded. We offer travel expenses, paid parental leave, flexible working hours, 30 days paid leave per year and help by finding a house. Starting date The position is available from April 2020. To apply Please, send your application to l.van.der.vecht(a)nin.knaw.nl including: 1. A Curriculum Vitae 2. An application letter 3. Two reference letters Evaluation of candidates will begin immediately, and continue until the position is filled. We aim to fill the position between April and July 2020. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, nationality, disability, etc. Any acquisition further to this advertisement will not be appreciated.

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PhD positions in Interactive AI CDT
by Rui Ponte Costa Feb. 22, 2020

Feb. 22, 2020

We are looking to recruit PhD students for our unique EPSRC-funded Centre for Doctoral Training in Interactive Artificial Intelligence at the University of Bristol, UK. The IAI Centre in a nutshell Building on Bristol’s world-leading expertise in AI, machine learning, neuroscience and human-computer interaction, the Centre for Doctoral Training in Interactive Artificial Intelligence offers PhD studentships that will train you to become a leader in human-in-the-loop and interpretable AI systems. This unique Centre is based in the School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics. Its mission is to deliver cohorts of highly-trained PhD graduates with the skills to design and implement complex interactive AI pipelines solving societally and scientific important problems. After the taught first year, covering foundational topics in data-driven AI, knowledge-driven AI, human-AI interaction and responsible AI, you will undertake a 3-year research project, supervised by one of the 60 academics in the supervisory network and in close collaboration with one or more external partners. The Centre partners with a wide range of external organisations including Alan Turing Institute, Microsoft Research, Amazon Research, Dyson, Thales, and many others. How to apply Applicants must hold/achieve a minimum of an upper-second class honours degree in a relevant discipline (e.g., computer science, engineering, mathematics, statistics). Enhanced EPSRC studentships covering fees and living costs are available to UK / EU students (EU citizens are eligible if they have lived in the UK for at least 3 years; a small percentage of positions can also be considered for non-UK/EU candidates). For full details, contact information and on-line applications, navigate to www.bristol.ac.uk/cdt/interactive-ai<https://www.findaphd.com/common/clickCount.aspx?theid=4377&type=185&url=htt…>. Deadline: 2nd March 2020, 00:00 (GMT) For admission enquires please contact iai-cdt-admissions(a)bristol.ac.uk<mailto:iai-cdt-admissions@bristol.ac.uk>. For more informal inquires feel free to contact academics affiliated with the program. Best wishes, Bristol Computational Neuroscience Unit<http://bristolcnu.github.io/> SCEEM | Faculty of Engineering & Bristol Neuroscience, University of Bristol, UK

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Postdoc and PhD positions on Biological Deep Learning
by Walter Senn Feb. 22, 2020

Feb. 22, 2020

Dear all A postdoc and two PhD positions devoted to the modeling of learning in deep cortical networks are available in our Computational Neuroscience labs at the University of Bern, Switzerland. Our research is focused on biologically realistic models of spatio-temporal processing in recurrent cortical networks and their relation to reinforcement learning, Bayesian computing, learning to learn, and neuromorphic implementations. The positions are part of the European Human Brain Project and are available from April 1st, 2020, for 3 years (extendable through other funding). We offer a stimulating environment with three research groups in theoretical and computational neuroscience, along with experimental neuroscience at the same Department of Physiology (physio.unibe.ch/gruppen.aspx <http://physio.unibe.ch/gruppen.aspx>), as well as close collaboration with other labs in neuroscience, artificial intelligence and neuromorphic engineering. Ideal candidates should have a strong background in computational neuroscience, machine learning, applied mathematics and/or physics. Please send your CV, publication list, letter of motivation and contact information for at least two references to Walter Senn (walter.senn(a)pyl.unibe.ch <mailto:walter.senn@pyl.unibe.ch>) and Mihai Petrovici (mihai.petrovici(a)pyl.unibe.ch <mailto:mihai.petrovici@pyl.unibe.ch>), with cc to Sabine Herzog (sabine.herzog(a)pyl.unibe.ch <mailto:sabine.herzog@pyl.unibe.ch>). The first evaluation round will begin on March 23rd, 2020. The positions will remain open until filled. With best regards, Mihai Petrovici and Walter Senn

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Postdoc fellowship in parallel computing and neural simulation at Chemnitz University of Technology
by Julien Vitay Feb. 21, 2020

Feb. 21, 2020

Apologies for cross-posting ******************************* A PostDoc position is available at Chemnitz University of Technology in the Department of Computer Science within the Professorship of Artificial Intelligence. He or she should have a Ph.D. in computer science or related fields. Exceptionally, we can also consider Ph.D. candidates in case of extremely good qualifications. The candidate is expected to contribute to research in auto-tuning mechanisms on different hardware platforms to implement biologically inspired neural networks. Thus, a very good experience in parallel computing is absolutely required. Further, the candidate should have an interest in computational neuroscience, particularly at the implementation level of large-scale neural networks. Prior experience with neural simulation tools, e.g. ANNarchy (Vitay, Dinkelbach, Hamker, 2015), NEST or Brian, is advantageous. Good English language skills are necessary. German is initially not required. Funding is obtained from a research project “Auto-tuning for neural simulations on different parallel hardware" from the German research foundation (DFG), coordinated by Dr. Vitay and Prof. Dr. Hamker. The salary is according to German standards (E 13 TV-L). An association with the CRC 1410 Hybrid Societies (https://www.tu-chemnitz.de/hybrid-societies/) is conceivable. The position is initially until 30.06.2021, but extensions are possible. The starting date is May 2020 or soon thereafter. Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture. Applications should be sent by email (preferably in PDF format) to ( fred.hamker(a)informatik.tu-chemnitz.de) The deadline is on 15.03.2020, but applications will be considered until the position is filled. In addition to a CV, the candidate should provide a detailed description of his/her experience in parallel computing. References: Vitay, J., Dinkelbach, H. U., Hamker, F. H. (2015), ANNarchy: a code generation approach to neural simulations on parallel hardware, Frontiers in Neuroinformatics , 9, 19, doi:10.3389/fninf.2015.00019 -- Professur Künstliche Intelligenz Fakultät für Informatik Technische Universität Chemnitz Straße der Nationen 62 | R. 1/348 (neu: A12.348) 09111 Chemnitz Germany Tel: +49 371 531-39468 Fax: +49 371 531-839468 www.tu-chemnitz.de/~vitay

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Nottingham DTC in AI, PhD positions
by Mark van Rossum Feb. 20, 2020

Feb. 20, 2020

Dear all Applications are invited from UK/EU students for a number of fully-funded PhD studentships in the first cohort of the Nottingham Doctoral Training Centre in Artificial Intelligence, based within the School of Computer Science at the University of Nottingham, starting in autumn 2020. These studentships will start on 1 October 2020 and will be four years in duration. https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI1934 A full list of topics that applicants are asked to rank in terms of interest is listed here: https://www.nottingham.ac.uk/computerscience/studywithus/postgraduateresear… Deadline is very fast: 28 Feb. We might run a second round of recruitment in April/May. 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.

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Two postdoctoral positions Essex Brain-Computer Interfaces and Neural Engineering Laboratory
by Poli, Riccardo Feb. 19, 2020

Feb. 19, 2020

Hi, The Brain-Computer Interfaces and Neural Engineering laboratory of the University of Essex is happy to announce two<https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?…> postdoctoral positions<https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?…> in the $5M project "Adaptive joint cognitive systems for complex and strategic decision making: building trust in human-machine teams through brain-computer-interface augmentation, social interaction and mutual learning". The project is supported by the Bilateral Academic Research Initiative (BARI) programme which is jointly funded by the US Department of Defense and the UK Ministry of Defence. The project is in partnership with the University of Oxford, the University of Southern California, the University of California Berkeley, Harvard Medical School and the University of Massachusetts Medical School. The Essex part of the project covers the following areas: * Neural and behavioural correlates of metacognition, trust, conformity, errors and low-confidence judgements; Brain-Computer Interfaces (BCI); decoding mental states associated with decision-making processes; signal processing and extraction of information from EEG and other physiological signals. * Behavioural, physiological and neural markers of effective group cooperation; effects of different levels and forms of social interaction on group performance; team and teamwork performance indicators; integrating team-member decisions; optimally communicating group decisions and states. * Reinforcement and interpretable machine learning; predictive uncertainty; surrogate ground truth. Duties will include: designing and implementing software for the execution of experiments with audio-visual and textual stimulation; researching and developing robust algorithms for signal processing, statistical inference and extraction of information from EEG and other physiological signals; and producing high-quality journal and conference papers and presentations. Please, feel free to contact me for any questions. I am the PI of the project. Many thanks Riccardo -- -- ---------------------------------------------------------------------- Prof Riccardo Poli E-mail: rpoli(a)essex.ac.uk<mailto:rpoli@essex.ac.uk> School of Computer Science and Electronic Engineering University of Essex Telephone: (01206) 872338 Wivenhoe Park Facsimile: (01206) 872788 Colchester CO4 3SQ, UK http://csee.essex.ac.uk/staff/rpoli/ ----------------------------------------------------------------------

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Two postdoctoral positions in cellular electrophysiology and neurobiology at SISSA, Italy
by Michele Giugliano Feb. 19, 2020

Feb. 19, 2020

Apologies for cross posting Two postdoctoral positions in cellular electrophysiology and neurobiology ------------------------------------------------------------------------------------------------- Two postdoctoral positions are available immediately at the Neuroscience Area of SISSA - the International School for Advanced Studies, in the lab of Neuronal Dynamics head by Dr. Michele GIUGLIANO. Both positions are funded for up to 38 months each, on a newly funded EC-Horizon 2020 project called "Ionic Neuromodulation For Epilepsy Treatment (IN-FET)". This project combines neurobiology, nanotechnologies, electrochemistry, and electronics together towards a novel breakthrough technology in brain modulation. At SISSA, we aim at experimentally validating novel routes for cellular and microcircuit stimulation or suppression, in collaboration with a consortium of partners which includes IBM Research Zurich, the University of Geneva, the University of Sheffield, and the Inter-university consortium for Nanoelectronics. We thus search for experts in in vitro electrophysiology (substrate-integrated microelectrode arrays) and patch-clamp recordings (dissociated cell cultures, acute and organotypic brain tissue slices) with a strong background in quantitative data analysis and an interest for interdisciplinary research. The deadline for the application is 19/03/2020 and the link to apply is https://pica.cineca.it/sissa/ar-fe-neur-17-2020/ <https://pica.cineca.it/sissa/ar-fe-neur-17-2020/> More information at: https://www.sissa.it/bandi/selezione-pubblica-titoli-colloquio-conferimento… <https://www.sissa.it/bandi/selezione-pubblica-titoli-colloquio-conferimento…> For any scientific information, email to michele.giugliano(a)sissa.it <mailto:michele.giugliano@sissa.it> For any administrative information, email to assegniricerca(a)sissa.it <mailto:assegniricerca@sissa.it>

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Neural coding in high dimensional, nonlinear systems workshop in Paris
by Trang-Anh Nghiem Feb. 19, 2020

Feb. 19, 2020

Dear Colleagues, We are delighted to announce that our workshop on *neural coding in high dimensional, nonlinear systems* will be held on *March 24th-25 2020*. The event is organised by the European Institute for Theoretical Neuroscience (EITN) and will take place at the Institute for Advanced Study (IAS) on the Île Saint-Louis in central Paris. *Conference abstract* In this workshop we address mechanisms by which brains encode information. We will discuss how neurons - leaky, stochastic channels - interact nonlinearly to entrain synchrony and resonance phenomena thereby reducing dimensionality in dynamics of the cell assemblies coding particular representations. From unconscious to conscious brain states, spontaneous neural signals increase in dimensionality. Since neural codes likely lie on low dimensional manifolds, we explore collapses in dimensionality within encoding networks as mechanisms supporting neural information specifically in conscious states. We aim to bring together researchers in neuroscience, mathematics, physics, and computer science to explore substrates promoting self-organization of neural dynamics, toward a robust understanding of neural codes important for reverse engineering next generation biomimetic computing architectures. *Confirmed speakers*- Mallory Carlu (Centre National de la Recherche Scientifique) - Damien Depannemaecker (Centre National de la Recherche Scientifique) - Alain Destexhe (Centre National de la Recherche Scientifique) - Leon Glass (McGill University) - Jennifer Goldman (Centre National de la Recherche Scientifique) - Julie Grollier (Centre National de la Recherche Scientifique/Thales) - Hermann Haken (Universität Stuttgart) - Vincent Hakim (Ecole Normale Supérieure de Paris) - Viktor Jirsa (Aix-Marseille University) - Trang-Anh Nghiem (Ecole Normale Supérieure de Paris) - Maris Ozols (University of Amsterdam) - Wolf Singer (Ernst Strüngmann Institute, Max Planck Society) - David Ruelle (Paris-Saclay University) - Núria Tort-Colet (Centre National de la Recherche Scientifique) - Sacha van Albada (Forschungszentrum Jülich) *Attendance is free but registration is mandatory due to a limited number of seats. To apply for registration, please visit the conference website*: https://neuralcoding.sciencesconf.org/. Looking forward, Best wishes, The organisers: Jennifer S. Goldman, Trang-Anh E. Nghiem, Alain Destexhe, Wolf Singer, with the support of the Paris IAS

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CAMP@Bangalore 2020 Course Announcement
by U.S.Bhalla Feb. 19, 2020

Feb. 19, 2020

Dear Colleagues, We would like to announce CAMP@Bangalore 2020 from 29 June 2020 to 14 July 2020. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school where students will be trained in theoretical and computational modeling, pertaining to memory and plasticity in the brain, spanning different scales of space, time and complexity. This flavor of CAMP will focus on — Hippocampus beyond Space, and Dimensionality & Manifolds. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. The course is supported by the Simons Foundation. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Application deadline: 5 March 2020. Referee letters must reach by 7 March 2020 Speakers: Aaron Batista, University of Pittsburgh, USA Alessandro Treves, SISSA, Italy Collins Assisi, IISER Pune, India Kishore Kuchibhotla, Johns Hopkins University, USA Marianne Fyhn, University of Oslo, Norway Marlene Bartos, University of Freiburg, Germany Sachin Deshmukh, IISc Bangalore, India Srdjan Ostojic, ENS Paris, France Suhita Nadkarni, IISER Pune, India Taro Toyoijumi, RIKEN, Japan Torkel Hafting, University of Oslo, Norway Visit the course website http://camp.ncbs.res.in/ for more details about the course and previous CAMPs. Course Organizers: Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Upinder Bhalla (National Centre for Biological Sciences, Bangalore) Best, Organizers CAMP 2020 Course http://camp.ncbs.res.in/

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