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New FRONTIERS TOPIC: BRAIN CONNECTIVITY, DYNAMICS AND COMPLEXITY
by Stephen José Hanson April 9, 2021

April 9, 2021

Please considering submitting to the new Frontiers Topic in Human Neuroscience: https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynami… -- Stephen José Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB)

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[CFP] MDPI Molecules (IF: 3.267, ISSN: 1420-3049) - Special Issue "Practical Aspects of Molecular Communications"
by Murat Kuşcu April 9, 2021

April 9, 2021

MDPI Molecules (IF: 3.267, ISSN: 1420-3049) Special Issue on Practical Aspects of Molecular Communications https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… --------------------------- CALL FOR PAPERS The Internet of Bio-Nano Things (IoBNT) is an emerging technology that aims to extend our connectivity to nanoscale and biological environments with collaborative nanonetworks of artificial nanomachines and biological entities integrated into the Internet infrastructure. To enable the IoBNT and its groundbreaking applications, such as continuous intrabody health monitoring, it is imperative to devise low-complexity nanoscale communication techniques suitable for the envisioned nanomachines of simple architectures. The most promising communication technology for realizing the IoBNT is Molecular Communications (MC), as it ubiquitously manifests itself in many complex biological systems in the Universe, and thus, stands as one of the most common communication modalities, optimized from many aspects as a result of billions of years of evolutionary advancement. Making use of this naturally existing technology requires understanding its foundations through our existing modeling and analysis tools. This quest, which started almost 15 years ago, has received increasing attention from ICT researchers, which have been overly inspired by conventional electromagnetic communication technologies in their approach to this radically different paradigm. These theoretical approaches, however, have not always come with sufficient physical relevance. Currently, this emerging field has come to a critical turning point, as many researchers have started to report on initial MC experiments following different approaches and using different materials, while consistently pointing out a discrepancy between the obtained experimental results and the past theoretical work. This reveals the need to rethink the previous efforts and come up with new interdisciplinary strategies, thus building practical MC techniques and developing feasible MC system components, experimental testbeds, and prototypes in order to close the gap between theory and practice, and expedite the transfer of this emerging technology to the market. Among the challenges stated above, this Special Issue is particularly focused on the practical aspects of MC. Therefore, we are calling for technical papers that report on new research with the potential to move this field forward towards its practical applications, as well as surveys/tutorials focusing on the practical challenges of MC research. Hence, its scope encompasses a wide range of interdisciplinary research topics, with some examples listed as follows: ** The physical design, modeling, and implementation of MC system components (e.g., transmitter, receiver, channel); ** The design and implementation of MC testbeds; ** Practical and low-complexity MC methods (e.g., modulation, detection, channel estimation, synchronization, coding methods); ** The testing and validation of MC transceiver/channel models and MC methods; ** Applications of microfluidics, biosensors, and nanomaterials for MC system design; ** Bio-cyber interfaces between MC networks and conventional macroscale networks; ** Synthetic biology-based MC transceiver architectures; ** Optimization of ligand-receptor interactions for MC; ** Biocompatibility and co-existence challenges; ** Energy harvesting and power transfer techniques for MC networks; ** The design and demonstration of MC applications (e.g., those in healthcare, agriculture, biocomputing). --------------------------- Deadline for manuscript submissions: 15 September 2021 --------------------------- Guest Editors Sasitharan Balasubramaniam, TSSG/Walton Institute, Waterford Institute of Technology (sasib(a)tssg.org) Murat Kuscu, Koc University, Turkey (mkuscu(a)ku.edu.tr) Bige D. Unluturk, Michigan State University, USA (unluturk(a)msu.edu) Kerstin Lenk, Graz University of Technology, Austria (kerstin.lenk(a)tugraz.at ) Ergin Dinc, University of Cambridge, UK (ed502(a)cam.ac.uk) Michael Barros, University of Essex, UK (m.barros(a)essex.ac.uk) --------------------------- Paper submission Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. --------------------------- Additional information: Please visit the MDPI Molecules Special Issue webpage at: https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… Inquiries can be addressed to Ms. Emity Wang at: emity.wang(a)mdpi.com, molecules(a)mdpi.com

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Reader/Principal Lecturer in Artificial Intelligence at the University of Hertfordshire
by Volker Steuber April 9, 2021

April 9, 2021

Reader/Principal Lecturer in Computer Science (Artificial Intelligence) School of Physics Engineering and Computer Science/ Department of Computer Science University of Hertfordshire, Hatfield, UK FTE: Full time position working 37 hours per week (1.0 FTE) Duration of Contract: Permanent Salary: UH9 £51,034 - £60,905 pa dependent on relevant skills and experience Closing date: 9 May 2021 Applications are invited for an academic position as Reader/Principal Lecturer in the Department of Computer Science, University of Hertfordshire. The Department has an international reputation for teaching and research, with 64 academic staff, 40 adjunct lecturer staff, and 65 research students and postdoctoral research staff. With a history going back to 1958, the Department teaches one of the largest cohorts of undergraduate students in the UK, and also delivers a thriving online computer science degree programme. Main duties and responsibilities The person appointed will be expected to make a significant contribution to the leadership of research in the department, including gaining research awards as Principal Investigator, the development of the research environment in the department and across the University, and publishing in peer reviewed journal articles and other internationally excellent or world-leading publications in education. To contribute to the development of, and supervise and teach on, doctoral programmes in the UK and internationally in relation to a wide spectrum of AI, especially emerging topics in AI. Possible fields include, but are not limited to: • Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms • Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics, soft robotics, adaptive or evolutionary robotic design • Biological and biophysical computation paradigms, systems biology, neural computation • Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation • Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization; causality • Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), algebraic and category-theoretical methods in AI; modern topics in games and AI; quantum algorithms for AI • AI and applications: financial modelling, AI and biology/physics/cognitive sciences • Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life Preference will be given to candidates that can deliver teaching to Level 7 in a selection of relevant subjects. The appointee will also be expected to lead and develop taught modules in a range of computer science areas. For appointees with the appropriate experience, there will be the possibility of taking up the role of Head of Subject Group within the department of Computer Science. Skills and experience The appointee will strengthen the research culture in the Department by pursuing research as part of a larger research team, seeking external funding, publishing papers, supervising research students, and participating in commercial activity as appropriate. Therefore it is essential that candidates have a track record (e.g. in published, grant-funded research) in Computer Science. Additionally, experience of different types of assessment and higher education quality assurance is an essential requirement of this role. Prior experience of developing modules and/or programmes of study in Computer Science is essential in addition to significant experience of operating in a UK HE Environment, or equivalent professional experience. Readers/Principal lecturers are expected to take on duties in the capacity of leader, and hence experience of academic leader, programme leadership and line management is desirable. Good interpersonal and presentation skills with proficiency in the English Language are essential along with the ability to manage conflicting demands and work to deadlines. Qualifications required Reader/Principal Lecturer applicants must hold a First Degree and a PhD in an appropriate area of Computer Science or an equivalent, relevant postgraduate professional qualifications. In addition, the Reader/Principal Lecturer will be expected to contribute to the leadership and management academic programmes, as well as proactive participation in enterprise, knowledge transfer and/or research and scholarship in the School. There are expectations of leadership and potentially supervisory oversight of groups of staff. Readers/Principal lecturers are also expected to contribute to the richness of the academic environment, through scholarly activity, support events, projects and activities, including open days, outreach, extra curricula initiatives, and potentially act as a representative of the School or University at national or international fora. The School of Physics, Engineering and Computer Science is an Athena Swan Bronze award holder, and we are committed to providing a supportive environment and flexible working arrangements. The university also provides an onsite childcare facility and child-centred holiday clubs. Staff work with the university values, which are: Friendly, Ambitious, Collegial, Enterprising, and Student focused. Contact Details/Informal Enquiries: Informal enquiries may be addressed to Dr Simon Trainis, Head, Department of Computer Science by email: S.A.Trainis(a)herts.ac.uk Please note that applications sent directly to this email address will not be accepted. Closing Date: 9 May 2021 Interview Dates: TBC but candidates are advised to be available on 16 and 17 June 2021 Apply through https://www.herts.ac.uk/staff/careers-at-herts, Reference Number: 032595 Date Advert Placed: 8 April 2021 Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK +44 (0)1707 284350 biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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PhD position in computational neuroscience and modeling of salamander spinal locomotor circuits, EPFL, Lausanne Switzerland
by Auke Ijspeert April 8, 2021

April 8, 2021

The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/ <https://www.epfl.ch/labs/biorob>) at EPFL (Lausanne, Switzerland) has one open *PhD student position* in *computational neuroscience and modeling of salamander spinal locomotor circuits*. The position is part of the ERC Synergy Salamandra project that will start in September 2021, together with Prof. Andras Simon (KTH Sweden) and Prof. Dimitri Ryczko (U. Sherbrooke, Canada). See some info here: https://actu.epfl.ch/news/salamanders-provide-a-model-for-spinal-cord-rege-… The goals of the position are (i) to develop numerical models and simulations of the locomotor circuits in the spinal cord of the salamander, (ii) to analyze their dynamics when coupled to a simulated mechanical model of the body (interactions between central and peripheral mechanisms), and (iii) to investigate their regenerative properties after spinal cord lesions. The models will be based on integrate-and-fire neuron models. The positions are fully funded for 4 years. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates need to have a Master degree in a field related to computational neuroscience, e.g. in computer science, neuroscience, or physics. The ideal candidate for this position should have a strong numerical modeling background, good programming skills, good math background (e.g. in dynamical systems), and interest in locomotion and robotics. *How to apply for the position:* Step 1: The position is only open to applicants who have been accepted by the EPFL doctoral school (see http://phd.epfl.ch/ <http://phd.epfl.ch/>). The first step is therefore to fill the applications for one of the relevant EPFL doctoral programs in neuroscience, or related fields (e.g. computer science or robotics). Step 2: In parallel to step 1, or once accepted by one of the doctoral programs (please specify which doctoral program and the date of acceptance), the application to the position should be sent by email to Prof. Auke Ijspeert and consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it) and a copy of the doctoral program application. Informal inquiries about the relevance of an application can be sent to auke.ijspeert(a)epfl.ch <mailto:auke.ijspeert@epfl.ch> (e.g. before or while submitting an application to the doctoral school), but responses can be slow because of a heavy schedule and a filled mail box. *Deadline and starting date:* *The ideal starting date is September 2021* (with some flexibility). Applications will be considered starting *from May 31 2021*, and then continuously until the positions are filled. *Instructions to apply* can be found here: https://www.epfl.ch/labs/biorob/openings/ Best regards, Auke Ijspeert -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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New Online Master Program for Cognitive Science M.Sc.
by mcruz＠uni-osnabrueck.de April 8, 2021

April 8, 2021

Dear all, We are very excited to announce that the Institute of Cognitive Science at Osnabrück University will offer a new digital track of the Cognitive Science M.Sc. program! The DAAD-funded program targets international students who can successfully complete most of the coursework remotely. Possible focus areas include Artificial Intelligence, Neuroinformatics, and Neuroscience. In addition to the online coursework, students will be present in Osnabrück for 2-3 weeks every academic year. During this period, students will be able to get to know one another and participate in courses and face-to-face exams. This also gives students a chance to get to know the city of Osnabrück, learn about German culture, and gain insight into the work-life in Germany through possible internships and company visits. The program will be open for applications soon - check out our website (https://www.ikw.uni-osnabrueck.de/en/courses_of_study/master_program/cognit…) for more details. Please do not hesitate to contact us (os-cosmos(a)uni-osnabrueck.de) with further inquiries! We look forward to hearing from you. Best wishes, Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz(a)uni-osnabrueck.de Institut für Kognitionswissenschaften und virtUOS Universität Osnabrück Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz(a)uni-osnabrueck.de Institut für Kognitionswissenschaften und virtUOS Universität Osnabrück

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2 postdoc positions at the Perception, Neuroimaging, and Modeling lab at Georgia Tech
by Xue, Kai April 8, 2021

April 8, 2021

Hi all, The Perception, Neuroimaging, and Modeling lab (PI: Dr. Doby Rahnev, rahnevlab.gatech.edu) has two postdoctoral fellow openings to work on funded projects. The exact topic of research is flexible and could include investigating the neural and/or computational bases of perception, memory, metacognition, attention, expectation, learning, cognitive control, working memory, etc. The Rahnev lab uses a wide range of methods such as fMRI, TMS, psychophysics, computational modeling and concurrent TMS-fMRI. The position is initially for 2 years with a possibility for extension. Candidates will be given the opportunity to conduct studies building on current lab research or developing their own projects ideas. Review begins April 15, 2021 and will continue until both positions are filled. The Rahnev lab, at the Georgia Institute of Technology in Atlanta, has access to exceptional research facilities. The lab space is conveniently located just steps away from a 3T Prisma MRI scanner at the Center for Advanced Brain Imaging (CABI, cabiatl.com) The lab also houses its own TMS equipment and is pioneering the use of concurrent TMS-fMRI that allows TMS to be delivered inside the MRI scanner. Working in the Rahnev lab presents opportunities for collaborations across several Atlanta-based universities including Georgia Tech, Emory and Georgia State. Georgia Tech is located at the heart of Atlanta, a vibrant, multicultural city that offers many opportunities for engaging in cultural, culinary, sports, and entertainment activities. Our lab aims to create a supportive, fun and productive environment. We are especially interested in maintaining our already diverse team and therefore seek applications from qualified individuals from all demographics and backgrounds. For more information, visit our website at http://rahnevlab.gatech.edu/getinvolved.html. To apply, email (1) your CV, (2) a brief description of what types of research questions you may want to pursue if you join us, and (3) a list of three references (names and email addresses will suffice at this point) to Dr. Rahnev (rahnev(a)psych.gatech.edu) Review begins on April 15, 2021 and will continue until both positions are filled. Best, Kai Kai Xue PNM Lab Manager Georgia Institute of Technology | Department of Psychology 424.402.7816

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Research Software Engineer - Comp. Neuroscience Project @Harvard
by Mohammadi Shad, Mahmood April 7, 2021

April 7, 2021

Dear Comp-Neuro Community, We have an opening in the FAS Research Computing department at Harvard University related to Computational Neuroscience. Harvard University is hiring a Research Software Engineer (RSE) to support researchers' high-performance scientific software development, numerical analysis, and machine learning (ML) needs. This project plays an essential role in helping facilitate cutting-edge research on the brain. Through regular engagements with researchers, this RSE will help with the refactoring of a legacy software package for clustering electrophysiological neural data (spike sorting). They will improve code design, unit testing, performance of statistical/numerical libraries, cloud-readiness, as well as porting to general-purpose scientific programming languages (Python, C++, Julia). Additionally, the RSE will make a modular software structure to test different clustering and cluster-tracking algorithms utilizing ML and deep learning (DL) techniques. More information: https://www.rc.fas.harvard.edu/about/employment/#Research_Software_Engineer… Best, ---------------- Mahmood M. Shad, PhD Associate Director of Research Software Engineering FAS Research Computing Harvard University 38 Oxford Street, Room 210 Cambridge, MA 02138 Email: mohammadi_shad(a)harvard.edu<mailto:mohammadi_shad@harvard.edu>

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Postdoc in neural network and robot models of body representations
by Matej Hoffmann April 7, 2021

April 7, 2021

** *Dear colleagues, * *** there is a postdoc openingin the humanoid, cognitive, neuro-, and collaborative robotics group (https://cyber.felk.cvut.cz/research/groups-teams/humanoids/) coordinated by Dr. Matej Hoffmann (https://sites.google.com/site/matejhof/) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. In the context of a 5-year project entitled “Whole-body awareness for safe and natural interaction: from brains to collaborative robots” for excellence in fundamental research from the Czech Science Foundation (seehttps://cyber.felk.cvut.cz/news/new-gacr-expro-project <https://cyber.felk.cvut.cz/news/new-gacr-expro-project/>for more information), we seek a postdoctoral researcher to conduct research in some of the following areas: - Neural network models of multisensory integration, body schema, and reaching development - Employing humanoid robots with artificial skin to construct embodied computational models of body and peripersonal space representations The postdoc will independently conduct research and will also be involved in shaping the research of the group and supervising students. Robots and infrastructure The humanoids group has at its disposal several humanoid robots (iCub, 2 Naos - 1 with whole-body sensitive skin) and collaborative or lightweight manipulators (KUKA LBR iiwa, UR10e with Airskin, Kinova Gen3). Additional infrastructure includes several robot hands (Barrett Hand BH8-282, QB Soft Hand) and grippers, a 3D Motion Capture System, impact measuring devices, etc. The group has also access to the facilities of the Research Center for Informatics such as a high-performance computational cluster. International collaborations There is a large group of international experts who have agreed to act as collaborators/advisors on the project. These include experts in - developmental psychology: Dr. Kevin O’Regan (CNRS, Paris), Prof. Jeffrey J. Lockman (Tulane University, New Orleans) - cognitive psychology and neuroscience: Prof. Matthew Longo (Birkbeck University, London), Prof. Tobias Heed (Bielefeld), Prof. Andrea Serino (University of Lausanne), Dr. Jean-Paul Noel (Center for Neural Science at New York University), Drs. M.Gori and Giulia Cappagli (Italian Institute of Technology, Dr. S. Signorini (IRCSS Fondazione Mondino Pavia) Prague There is currently a very lively international ecosystem in the areas of robotics and AI - at the Department and in Prague in general. See, for example, http://rci.cvut.cz/or https://prg.ai/en/. We seek applicants with a background in computational modeling, artificial neural networks or machine learning, with interest in neuroscience. Background in robotics is not required. How to apply. The application should include: -Motivation letter (max. 1 page) - CV (including 2 reference persons) -1 Letter of recommendation (can be from 1 of the reference persons above) Please send the application or inquiries to matej.hoffmann(a)fel.cvut.czwith (“postdoc application” in the subject). The position is open until filled. * -- Matej Hoffmann, PhD Assistant Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Karlovo namesti 13 121 35 Praha 2, Czech Republic +420 224 357 387 https://sites.google.com/site/matejhof/home https://cyber.felk.cvut.cz/humanoids

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EBRAINS Training on Model Validation
by Shailesh Appukuttan April 7, 2021

April 7, 2021

*EBRAINS Training on Model Validation* *4–7 May 2021* https://www.humanbrainproject.eu/en/education/training-on-model-validation/ The HBP Education Programme is organising a training on Model Validation. This training will guide modellers and experimentalists in model validation (comparing simulation results to experimental data) using the EBRAINS Model Validation Framework. The training will take place *virtually* over 4 days. Participation in the Training is open to the entire student and researchers community, regardless of whether they are affiliated with the HBP or not. We encourage young scientists to register and aim at an equal gender representation. *Registration will be open until 20 April 2021 and is free of charge.* *Call for Submissions:* *For the 2nd part of the training,* we invite interested researchers to bring their own models and to send us a short abstract, describing your model. The abstracts should include: • A short description of your model • Simulators/tools used for developing and simulating models • Overview of validation(s) you wish to implement during the training (specify at least one validation test), along with target (experimental) reference data • If you have already some questions or comments, you are welcome to mention them • If your model is already published, please include references at the end of the abstract Please send your abstract latest until *20 April 2021, 5pm (CET)* to training-support(a)humanbrainproject.eu Further information on abstract submission and registration: https://www.humanbrainproject.eu/en/education/training-on-model-validation/ For any further questions, please contact training-support(a)humanbrainproject.eu Cheers, Shailesh Appukuttan

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PhD Position in Computational Neuroscience, NI group @ Technische Universität Berlin
by Obermayer, Klaus, Prof. Dr. April 7, 2021

April 7, 2021

Neural Information Processing Group @ Technische Universität Berlin Research Assistant (PhD Position) in Computational Neuroscience Computational models of sleep oscillations during non-REM sleep Salary grade E13 (TV-L Berliner Hochschulen) Duration: 5 years Starting date: June 1st, 2021 Reference number: IV-239/21 Working field: The successful candidate will work the computational modelling of sleep rhythms in the context of memory consolidation during non-REM sleep and on the effect of perturbations by transcranial electrical stimulation (cf. Aspart et al. 2018, PLoS Comput Biol 14, e1006124.; Cakan & Obermayer 2020, PLoS Comput Biol 16, e1007822; Cakan et al., 2021, arXiv:2011.14731v2). She/he is expected to collaborate with the theoretical and experimental/clinical research groups of the DFG-funded CRCs 910 (control of self-organizing nonlinear systems, https://www.itp.tu-berlin.de/sfb910/) and 1315 (mechanisms and disturbances in memory consolidation, https://www.sfb1315.de/) Teaching obligations include the supervision of tutorials for courses of the research group in the machine learning field (Master level). Requirements: Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in dynamical systems and machine learning; very good programming skills; very good command of the German and English languages. How to apply: Please send your application with the reference number and with the usual documents (CV, motivation letter, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Klaus Obermayer, FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstrasse 23, 10587 Berlin, Germany, or preferably by e-mail to klaus.obermayer(a)tu-berlin.de. For information about the research group see https://www.ni.tu-berlin.de/. Please send copies only. Original documents will not be returned. The vacancy is also available on the internet at http://www.personalabteilung.tu-berlin.de/menue/jobs/ Application deadline for full consideration: 7. 5. 2021. Applications will be accepted until the position is filled.

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