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Permanent academic positions in computational neuroscience/ machine learning at assistant and associate professor level

by Eleni Vasilaki

There are two permanent academic openings in the Department of Computer Science, University of Sheffield, in the area of Computational Neuroscience within the Machine Learning group. Lecturer/Senior Lecturer/Reader in Machine Learning and Computational Neuroscience. Lecturer/Senior Lecturer/Reader in Machine Learning and Robotics. Lecturer is roughly equivalent to Assistant professor and Senior Lecturer/Reader to Associate Professor in the US system. Since it was established in 1982, the Department of Computer Science at the University of Sheffield has attained an international reputation for its research and teaching. In the 2014 Research Excellence Framework (REF) exercise, we were ranked 5th out of 89 departments in the UK for computer science research. For more information please see: https://www.sheffield.ac.uk/dcs/jobs/index Prof. Eleni Vasilaki, DPhil CEng MIET Computer Science, University of Sheffield, www.dcs.shef.ac.uk/~eleni

June 6, 2017

Call for participation and posters: IMOL2017 – Third International Workshop on Intrinsically Motivated Open-ended Learning

by Gianluca Baldassarre <gianluca.baldassarre＠istc.cnr.it>

*** Apologies for cross-posting *** Dear colleagues, this mail is to invite you to "IMOL2017 – Third International Workshop on Intrinsically Motivated Open-ended Learning" that will be held in Rome, October 4th-5th-6h, 2017. IMOL 2017 is the third international workshop on Intrinsically Motivated Open-ended Learning. Following previous editions, IMOL 2017 aims to further explore the promise of intrinsically motivated open-ended lifelong learning in robots and artificial systems. *We are opening the call for participation and posters (more details on the website and below) with deadline July 16th, 2017*. More info available at imol-conf.org and below. Best wishes, the organizers: Gianluca Baldassarre, Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew Barto ------------------------------------------------------------ ---------------------------------------- *IMOL2017 – Third International Workshop on Intrinsically Motivated Open-ended Learning* Organizers: Gianluca Baldassarre, Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew Barto We are pleased to announce the “Third International Workshop on Intrinsically-Motivated Open-ended Development (IMOL2017)”, which will be held in Rome, Italy, on 4-5-6 October 2017 in a beautiful central location. <http://www.residenzadiripetta.com/it/> All information regarding the workshop, including an extended description of the its scope, can be found in the website imol-conf.org Following two previous workshops, the highly focused “Third International Workshop on Intrinsically-Motivated Open-ended Development (IMOL2017)” aims to further explore the promise of intrinsically motivated open-ended lifelong learning. The workshop aims to be a highly interactive event. To this purpose, it will feature high profile keynote presentations and the participation of an audience of about 60 people. It will foster close interaction among the participants by enabling intense peer-to-peer discussions, poster sessions, and collective round tables directed toward specific objectives. It will take place at a lovely venue in the center of Rome fostering interactions, with evenings devoted to autonomous exploration of the city. It will be followed by a call for papers to be published in an open journal special issue (e.g. a Frontiers in Neurorobotics Research Topic). *Aims of the Workshop* The Workshop will occur over three whole days, with the last session of each day dedicated to a plenary discussion targeting three important topics: (1) The identification of the most important open challenges in the field of autonomous open-ended lifelong learning, with the aim of compiling a list of high-impact goals identified as important next-steps. (2) The definition of one or more benchmarks for evaluating models and architectures for autonomous open-ended learning (at a later date, an open competition will be held based on the benchmark). (3) The identification of the most promising approaches and techniques to tackle the open challenges identified under point (1). *Topics of interest* - Autonomous robots lifelong learning - Multi-task reinforcement learning - Deep reinforcement learning - Intrinsic motivations - Curriculum learning - Goal self-generation - Multiple task solution and parameterized skills - Neural/probabilistic representations and abstractions Architectures for open-ended learning - Goal-based skill learning - Knowledge transfer and avoidance of catastrophic forgetting - Compositionality and chunking - Hierarchies of goals and skills - Mitigating risks of real-world deployment of open-ended learning systems *Current list of invited speakers* - Baldassarre, Gianluca - Barto, Andrew - Bellemare, Marc - Calinon, Sylvain - Cangelosi, Angelo - Konidaris, George - Merrick, Kathryn - Natale, Lorenzo - O’Regan, Kevin - Oudeyer, Pierre-Yves - Peters, Jan - Polani, Daniel - Reinhart, Felix - Rolf, Matthias - Ruecker, Elmar - Santucci, Vieri Giuliano - Stulp, Freek - Triesch, Jochen - Uchibe, Eiji *Call for Application* Participation in the workshop is free of charge and includes the lunches for the three days. However, the workshop is limited to a restricted number of people given the capacity of the venue and the aim of the event. Prospective attendees should express their interest in participating by submitting the form downloadable from the link below, and their willingness (or not) to contribute a poster. In this case, people is also invited to submit a short/extended abstract (max 2 pages), possibly including figures. The submissions will be selected on the basis of the quality and of how well they fit the workshop’s aims. Both senior and young researchers, including Ph.D. students, are encouraged to submit to ensure a full representation of the community. Moreover, applicants are also requested to indicate in the form their willingness to participate in a special issue in Frontiers in Neurorobotics. This request aims to investigate the overall interest for the initiative, which will be followed by a standard Frontiers call after the workshop. Application deadline: July 16th, 2017 Notification of acceptance: July 27th, 2017 Please submit the form downloadable here <http://www.imol-conf.org/wp-content/uploads/2017/05/IMOL2017_ApplicationFor…> and the optional abstract (subject: “IMOL2017 submission: name, last name”) to: *imol.conf(a)gmail.com <imol.conf(a)gmail.com>* ------------------------------------------------------------ ---------------------------------------- -- .|.CS...|.......|...............|..|......US.|||.|||||.||.||||..|...|....... Gianluca Baldassarre, Ph.D., Laboratory of Computational Embodied Neuroscience, Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (LOCEN-ISTC-CNR), Via San Martino della Battaglia 44, I-00185 Roma, Italy E-mail: gianluca.baldassarre(a)istc.cnr.it Web: http://www.istc.cnr.it/people/gianluca-baldassarre Tel: +39 06 44 595 231 Fax: +39 06 44 595 243 Motto: 'Learn from the past, live in(tensely) the present, dream for the future' Life mission statement: 'Serve humanity through core knowledge' ...CS.|||.||.|||.||..|.......|........|...US.|.|....||..|..|......|.........

June 5, 2017

We're hiring! New open position at LANVIE - University of Geneva

by Margherita Mauri

Dear All, We are recruiting a research assistant/postdoc for a full time position at the LANVIE https://www.unige.ch/medecine/psyat/en/research-groups/935frisoni/ Please find the job description below: * Field: Alzheimer's disease (AD) and cognitive disorders 1. Study of AD biomarkers 2. Study of the biological basis of cognitive impairment due to Suspected Non-Alzheimer Pathology (SNAP) and of the interplay between amyloidosis and tau-related Neurodegeneration * Projects: 1. Epinettes database - A clinical database for diagnosis and prognosis of patients consulting at the Memory Clinics of the HUG 2. SNAP - Study of the biological basis of cognitive impairment due to Suspected Non- Alzheimer Pathology 3. Human Brain Project (HBP) - Medical Informatics Platform * Tasks: 1. Image analysis: Analysis of MRI and PET images of the brain finalised to the extraction and study of AD imaging biomarkers and cognitive pathologies (Freesurfer, FSL, Matlab, SPM) 2. Didactics: didactic activities management; MSc student supervision 3. Project management: Clinical ethical submissions; Work and data management; Communication and team management 4. Research tasks: Identification of new research opportunities and submission of project funding applications; presentation of research results according to need, participation in international and local conferences and publication in scientific journals; Identification, development and maintenance of collaborative relationships with current and future KOLs, scientific experts, scientific groups and study sites; Participation in working groups, boards, commission representing a project or the Team ; 5. To be customized basing on CV. Should you are interested in this position, please send your CV, cover letter and list of publication to margherita.mauri(a)unige.ch. Best regards, Margherita Margherita MAURI Assistante de Recherche Hôpitaux Universitaires de Genève et Université de Genève LANVIE - Laboratoire de Neuroimagerie du Vieillissement, Chemin du Petit Bel-Air 2 (Bâtiment Voirons) CH 1225 - Chêne Bourg

May 31, 2017

Call for Abstracts: Information Processing in Complex Systems

by Eckehard Olbrich

Call for Abstracts The Information Processing in Complex Systems (IPCS'17 https://ipcs.computationalscience.nl/) satellite meeting is organized during the Conference on Complex Systems. Our objective is to provide a forum for researchers who follow an information-theoretic approach to complex systems. Here they can present recent achievements and discuss promising hypotheses and further research directions. It will be a one-day event in September 20, 2017, as part of the Conference on Complex Systems (CCS'17 <http://ccs17.unam.mx/>). This conference is the official annual conference of the Complex Systems Society and is scheduled to convene in September 17-22, 2017. Background All systems in nature can be considered from the perspective that they process information. Information is registered in the state of a system and its elements, implicitly and invisibly. As elements interact, information is transferred. Indeed, bits of information about the state of one element will travel – imperfectly – to the state of the other element, forming its new state. This storage and transfer of information, possibly between levels of a multi level system, is imperfect due to randomness or noise. From this viewpoint, a system can be formalized as a collection of bits that is organized according to its rules of dynamics and its topology of interactions. Mapping out exactly how these bits of information percolate through the system reveals fundamental insights in how the parts orchestrate to produce the properties of the system. A theory of information processing would be capable of defining a set of universal properties of dynamical multi level complex systems, which describe and compare the dynamics of diverse complex systems ranging from social interaction to brain networks, from financial markets to biomedicine. Each possible combination of rules of dynamics and topology of interactions, with disparate semantics could be translated into the language of information processing which in turn will provide a lingua franca for complex systems. Based on the success of the previous year, IPCS’17 will again combine classical and quantum information approaches. If you would like to attend this scientific discourse then you only need to register for CCS’17. Note that the deadline for early registration is June 15. Abstract Submission We invite abstracts for oral presentations of work where information theory is used to tackle a complex systems problem. Our submission page (https://easychair.org/conferences/?conf=ipcs17) is open until June 30, 2017. Please keep the word count for the abstract to max. 300. There is the possibility to upload an extended anstract (single page pdf, one figure). Organizing committee Rick Quax (University of Amsterdam) Eckehard Olbrich (MPI Leipzig) Mile Gu (Nanyang Institute of Technology) Manlio de Domenico (Universitat Rovira i Virgili) For further informations or questions please contact ipcs17(a)easychair.org -- Dr. Eckehard Olbrich Max Planck Institute for Mathematics in the Sciences Inselstrasse 22 D-04103 Leipzig Germany Tel.: +49 341 9959 568 Fax: +49 341 9959 658 E-mail: olbrich(a)mis.mpg.de

May 31, 2017

PhD Studentships in Computational Neuroscience

by Steuber, Volker

PhD Positions in Computational Neuroscience Biocomputation Research Group Centre for Computer Science and Informatics Research University of Hertfordshire UK Applications are invited for PhD positions in the Biocomputation Research Group at the University of Hertfordshire. Projects involve the development and simulation of models of neurons and neuronal networks to study information processing in the cerebellum or olfactory system and /or the application of machine learning techniques for the analysis of neural data. A description of our research interests and a list of publications can be found on our webpage (http://biocomputation.herts.ac.uk/).? Applicants should have excellent computational and numerical skills and a very good first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Successful candidates are eligible for a research studentship award from the University (GBP 14,553 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the latest Research Excellence Framework Assessment, with 50% of the research submitted rated as internationally excellent or world leading. The Centre for Computer Science and Informatics Research provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London.? Please contact Dr Volker Steuber for informal enquiries. Application forms are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research… and should be returned to Mrs Lorraine Nicholls, Research Student Administrator, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083. The short-listing process will begin on 16 June 2017.

May 31, 2017

Extended Deadline: Coupling & Causality in Complex Systems, Sep 25-27, Cologne, Germany

by Michael von Papen

============================================================== CALL FOR PAPERS (*Extended Deadline June 15*, 2017) http://c3s.uni-koeln.de ============================================================== INTERNATIONAL CONFERENCE: *Coupling and Causality in Complex Systems* September 25-27, 2017, Cologne, Germany -------------------------------------------------------------- The interdisciplinary conference Coupling and Causality in Complex Systems (C3S) is hosted by the Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne (UoC), Germany. It is organized by the Institute of Geophysics & Meteorology, UoC, the Institute of Clinical Neuroscience and Psychology, Heinrich-Heine University Düsseldorf and the Department of Cognitive Neuroscience at the Research Center Juelich. -------------------------------------------------- *Invited Speakers* Jörg Breitung - Macroeconomic Policy Institute, University of Cologne, Germany David Gross - Institute of Theoretical Physics, University of Cologne, Germany Philip Holmes - Mechanical and Aerospace Engineering / Princeton Neuroscience Institute, Princeton, USA Ankit Khambhati - Department of Bioengineering, University of Pennsylvania, USA Laura Marzetti - Department of Neuroscience, Università degli Studi "G. d'Annunzio" Chieti - Pescara Arkady Pikovsky - Institute of Physics and Astronomy, University Potsdam, Germany Michael Rosenblum - Institute of Physics and Astronomy, University Potsdam, Germany Jakob Runge - The Grantham Institute for Climate Change, Imperial College London -------------------------------------------------- *Preliminary Session Program* We will have different sessions with differing topics and each session will be opened by one of the invited speakers. Here is a preliminary version of our program: Session 1 Synchronization I Arkady Pikovsky Session 2 Synchronization II Silvia Daun Session 3 Coupled oscillators I Phil Holmes Session 4 Coupled oscillators II Michael Rosenblum Session 5 Phase coupling Laura Marzetti Session 6 Network structures Ankit Khambati Session 7 Bayesian networks David Gross Session 8 Granger causality I Jörg Breitung Session 9 Granger causality II Esther Florin Session 10 Causal network measures Jakob Runge Further topics of interest for the conference include, amongst others, research and methods development on: functional connectivity, (partial directed) coherence, network topology, graph-theoretic measures, directed graphs, nonlinear dynamics of complex systems, complex spatio-temporal systems, mutual information and transfer entropy. -------------------------------------------------------------- *Scientific Organizing Committee* Silvia Daun - Institute of Zoology, University of Cologne, Germany; Institute of Neuroscience and Medicine, Research Center Jülich, Germany Esther Florin - Institute of Clinical Neuroscience and Psychology, Düsseldorf, Germany Joachim Gross - Center for Cognitive Neuroimaging, Glasgow, UK Michael von Papen - Institute of Geophysics & Meteorology, Cologne, Germany; Institute of Neuroscience and Medicine, Research Center Jülich, Germany -------------------------------------------------------------- *Abstract* Complex systems such as the human brain, Earth’s climate and economy are characterized by a multitude of coupled processes on different spatial and temporal scales. In order to better understand the dynamics of the system at hand each scientific area has developed specific tools to identify, model and quantify these processes. The conference Coupling and Causality in Complex Systems (C3S) will present a collection of these approaches with the aim to provide scientists with new analysis strategies for their field. The conference focuses on how to characterize a complex system and on the methods for estimating and modeling of statistical coupling (e.g. network coherence, creation and modulation of small networks and local or long-range synchronization by cross frequency phase-phase and phase-amplitude coupling) and causality (e.g. Granger causality, transfer entropy). Therefore, data analysts from different study fields including neuroscience, mathematics, physics, biology, and economy will present their approaches with a particular focus on the methods they use. The aim of this conference is to foster discussions and the transdisciplinary exchange of advanced techniques, methods, and algorithms, thereby stimulating potential future collaborations. -------------------------------------------------------------- *PAPER SUBMISSION AND REGISTRATION* Authors are invited to submit conference abstracts with up to 400 words. Authors of exceptional abstracts will be given the opportunity to present their research in a talk. However, poster sessions will be provided with ample time for discussions. For your submission, please use the conference website c3s.uni-koeln.de. To register, please send an email with the subject "registration" to c3s-conference(a)uni-koeln.de. Please be sure to include your full name, your affiliation and whether you qualify as student (also PhD candidates) or not. The registration fee will cover snacks and refreshments during coffee breaks, lunch and a dinner with all participants. Early-bird registration is available until July 10 with a reduced fee of 100 EUR (50 EUR for students), after July 10 the registration fee will be 200 EUR (100 EUR for students). -------------------------------------------------------------- IMPORTANT DATES Paper Submission deadline: June 15, 2017 Author Notification: end June, 2017 Early-bird registration: July 10, 2017 Conference: September 25-27, 2017 ============================================================== Please find the call for papers and more information at the conference website: http://c3s.uni-koeln.de. For questions regarding the conference feel free to contact us via c3s-conference(a)uni-koeln.de. -- ------------------------------------------ UNIVERSITY OF COLOGNE Institute of Geophysics & Meteorology Coordinator of Competence Area III: Quantitative Modeling of Complex Systems Dr. Michael von Papen Email: m.papen(a)uni-koeln.de http://www.uni-koeln.de/~vpapenm http://complexsystems.uni-koeln.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

May 30, 2017

Call for Abstracts: Workshop on Social Learning and Cultural Evolution (SlaCE 2017)

by Julien Hubert

Dear Colleagues, This is a call for abstracts for the Second International Workshop on “Social Learning and Cultural Evolution (SlaCE)”, which will be held at ECAL 2017 in Lyon, France. Organizers: Julien Hubert, j.g.hubert(a)vu.nl <mailto:j.g.hubert@vu.nl> Jacqueline Heinerman, j.v.heinerman(a)vu.nl <mailto:j.v.heinerman@vu.nl> Evert Haasdijk, e.haasdijk(a)vu.nl <mailto:e.haasdijk@vu.nl> Chris Marriott, dr.chris.marriott(a)gmail.com <mailto:dr.chris.marriott@gmail.com> James Borg, j.borg(a)keele.ac.uk <mailto:j.borg@keele.ac.uk> Peter Andras, p.andras(a)keele.ac.uk <mailto:p.andras@keele.ac.uk> Submission deadline: June 27, 2017 Notification of acceptance: July 27, 2017 Submission website: https://easychair.org/conferences/?conf=slace2017 <https://easychair.org/conferences/?conf=slace2017> Workshop website: http://www.climbinggiants.com/slace/2/index.html <http://www.climbinggiants.com/slace/2/index.html> Contact e-mail: j.g.hubert(a)vu.nl <mailto:j.g.hubert@vu.nl> ********* DESCRIPTION ******** In social species, learning from others, i.e. social learning, is one of the cornerstones of cognitive development. Social learning has been shown to increase the learning speed of individuals, but also enables them to reach a higher performance in comparison with learning individually. Social learning also enables local populations to develop a culture that can evolve over time. Realising social learning in artificial systems faces many challenges requiring inputs from machine learning, robotics and evolutionary biology. The aim of this workshop is to promote discussions on social learning and cultural evolution with a special emphasis on the future of of the field. Social learning has been actively studied in psychology but is still in its infancy in artificial systems. Many open questions remain, such as when is social learning advantageous, or what kind of information should be transferred. These questions have been studied but a consensus has yet to be reached, mainly because of the difficulty to compare results in social learning due to the absence of a common research framework. This workshop is devoted to discuss and establish such a framework that will push the research forward. The core of the workshop will consist of short presentations from contributors on their work in the field (current or historical), collective research goals and milestones in social learning and cultural evolution or new concepts, modelling techniques or research questions. Presenters are encouraged to address any of the following topics (though this list is not exhaustive): - Social Learning Mechanisms - Social Information Transfer - Transfer learning - The interaction between social and non social learning - The interaction between learning and evolution - Environmental Variability, Environmental Complexity, and Social Learning - Social Learning Strategies - Social Learning and Life History Evolution - Models of Learning in Nature - The Evolution of Culture - Communication - Social Networks and Social Contagion on networks - Group structure and learning bias - Social Robotics - Grounded (Animat) models of Social Learning - Do our definitions match those used in other related fields (i.e Imitation, Culture, ...) - Human Cultural Evolution (Cumulative Culture) - Co-operation - Gene-Culture Co-Evolution/ Dual Inheritance Theory - Philosophy of Culture - Memetics The workshop will conclude with a fishbowl discussion on the future of Social Learning and Cultural Evolution research in ALife. We ask potential contributors to submit an extended abstract (1 page). We are open to presenters who are contributing during the main ECAL conference to also talk about their work during the workshop in order to have additional discussions. PhD students and young career academics who are new to the field are encouraged to submit to this workshop. SLACE-2017 will be held on September 4th 2017, at ECAL 2017 Kind Regards, Julien, James, Jacqueline, Evert, Chris and Peter — Julien Hubert, PhD Computational Intelligence Group Computer Science Department Faculty of Sciences - VU University Amsterdam

May 28, 2017

Open position: PhD in signal processing / computational & clinical neuroscience

by Alan

Dear all, Please find an open position for a PhD in signal processing / computational & clinical neuroscience *Project title: ** *NeuroCog – Parkinson action (https://neurocog.univ-grenoble-alpes.fr) Funding body: UGA Contract duration: 3 years Starting date: From September 2017 on. *Job description:* The successful candidate will develop new TMS/EEG methods (acquisition and processing) for early Parkinson’s disease diagnosis that will quantify the impairment of cortical excitability. *Requested expertise: ** *Computer science / Signal processing / Parkinson’s disease / Neuroimaging / Brain stimulation *Project scientific summary:* Parkinson's disease (PD) is the second most frequent neurodegenerative disorder. Unfortunately, there is no cure for PD and no neuroprotective treatment and about 95% of patients will become demented within 25 years after the diagnosis. The presentation and evolution of PD is highly heterogeneous between patients and some PD phenotypes are more at risk of having a more severe and progressive course of the disease. In particular, although cognitive deficits are very frequent in old patients, in younger patients it is difficult to predict whether they will develop early cognitive disturbances. For this PhD project, we assume that in PD patients with a subtype characterized by prevalent cognitive issues, the impairment of cortical excitability in the fronto-parietal networks would be a new biomarker detectable at an early disease stage. We will thus study the cortical excitability using innovative methodologies that will be first developed in healthy subjects (Harquel et al, 2016; in press) and then longitudinally tested in a cohort of de novo PD patients. Overall, this project investigates PD phenotypes under a neurophysiological perspective that is highly innovative. *Host research groups:* The main goal of the primary host research group (Brain Stimulation & Systems Neuroscience, PI: Olivier David) is to study large-scale brain networks in order to develop new applications of brain stimulation in the field of psychiatry, movement disorders and epilepsy using a translational approach based on clinical and preclinical research. The secondary host lab (Laboratory of Psychology and Neurocognition, PhD co-director: Dr A. Chauvin) is a Cognitive Science Research Unit affiliated to the CNRS (National Institute of Biological Sciences, section 26) and to two universities (University Grenoble-Alpes, Grenoble and University of Savoie Mont Blanc, Chambery). Members of the LPNC who compose the TMS group have an interdisciplinary approach which encompasses engineering, experimental psychology; computational and mathematical modelling; neuropsychology; cognitive psychiatry; and neuroimaging. In addition, the PhD fellow will be in constant interaction with the Movement Disorder Unit of CHUGA (PI: Pr E Moro) and other research groups within the NeuroCog project working on the same cohort of PD patients. Very close interactions between experimentalists, methodologists and clinicians, will offer an optimal environment to develop skills of young scientists. Contacts: Dr Olivier David, Research Director, Inserm, Olivier.David(a)inserm.fr. Dr Alan Chauvin, Assistant Professor, UGA, Alan.Chauvin(a)univ-grenoble-alpes.fr. *Please send application including CV, statement of research interests, and the names and full contact details of at least two referees.** * References: Harquel, S., Bacle, T., Beynel, L., Marendaz, C., Chauvin, A., & David, O. (2016). Mapping dynamical properties of cortical microcircuits using robotized TMS and EEG: Towards functional cytoarchitectonics. NeuroImage, 135, 115–124. Harquel, S., Diard, J., Raffin, E., Passera, B., DallIgna, G., Marendaz, C., et al. (In press). Automatized set-up procedure for transcranial magnetic stimulation protocols. NeuroImage -- New E-mail : Alan.Chauvin(a)univ-grenoble-alpes.fr -- Laboratoire de Psychologie et NeuroCognition LPNC CNRS UMR 5105 Université Grenoble Alpes(UGA) Batiment Science de l'Homme et Math (BSHM) 38041 Grenoble Cedex 09 Alan.Chauvin(a)univ-grenoble-alpes.fr 33 (0) 476 825 926

May 26, 2017

Two Research Associate/Assistant Positions in Interpersonal Neural Connectivity at Cambridge University

by Dr V Leong

--- TWO RESEARCH ASSOCIATE/ASSISTANT POSITIONS IN INTERPERSONAL NEURAL CONNECTIVITY AVAILABLE --- The Baby-LINC Lab at Cambridge University is seeking two highly-skilled and motivated post-doctoral researchers to join our multidisciplinary data analysis team! We have recently completed an ESRC-funded large-scale EEG hyperscanning study on mother-infant neural coupling in relation to early learning. We are interested in understanding the interpersonal neural oscillatory dynamics that underpin different mother-infant social interactional states (such as joint attention versus inattention). We are also interested in characterizing the topology of coupled neural networks during successful learning and information transfer within mother-infant dyads. Candidates should be able to demonstrate strong technical expertise in one or more of the following areas : 1) Neural connectivity analysis 2) Signal processing (artifact identification and denoising) 3) Information theoretic analysis 4) Machine learning (including Bayesian learning) Applicants should have already obtained (or be about to complete) a PhD in a relevant subject, which may include (but is not limited to) the fields of computational neuroscience, cognitive neuroscience, biomedical physics, and engineering. Excellent programming skills are essential as the post-holder(s) will be expected to contribute to the lab’s in-house library of custom-built analysis scripts. Experience with EEG/MEG analysis is desirable. Excellent organisational and communication skills are essential, as the candidate must work well as part of a larger research team which includes international collaborators. This is an exciting opportunity to join pioneering research in the field of interpersonal neuroscience, at a time when there is growing interest and momentum. Two posts are available. One post, appointed through the University of Cambridge, is available at the level of Research Associate (post-doctoral) or Research Assistant (PhD to be awarded), on a 50% part-time basis. A second full-time (100%) post is available at the level of Research Associate only. This second post will be appointed through Nanyang Technological University (Singapore), but the post-holder will be entirely based in Cambridge. All suitable applicants will automatically be considered for both posts, unless the candidate indicates otherwise. We would like both successful candidates to begin as soon as possible, and no later than 1st August 2017, but flexible working arrangements can be considered. Informal enquiries are welcome, and can be made to Dr Victoria Leong by email (vvec2(a)cam.ac.uk) or telephone (+ 44 1223 333567). For further information, and to apply : http://www.jobs.cam.ac.uk/job/13871/ -- Victoria Leong, PhD Assistant Professor of Psychology Nanyang Technological University (Singapore) Affiliated Lecturer Department of Psychology, University of Cambridge (UK)

May 25, 2017

Postdoc in Connectomics at UPenn

by Ragini Verma

Postdoctoral positions in diffusion imaging are available immediately at the Section of Biomedical Image Analysis (SBIA), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA. Candidates must have a background in Electrical or Biomedical Engineering, Computer Science, Applied Math or MR Physics, with experience in diffusion imaging. Knowledge of maine learning techniques is a plus. Current projects involve work on connectomics, multi-compartment models, edema-invariant tractography and joint structural-functional connectivity analysis and their application to brain tumors, traumatic brain injury and autism. Good programming skills is a must. All projects have a strong emphasis on method development (for technical publications) but require subsequent clinical application of the same. The positions call for interaction with clinical collaborators. Please contact the head of the diffusion group, Ragini Verma (Associate Professor of Radiology) at Ragini.Verma(a)gmail.com and Ragini.Verma(a)uphs.upenn.edu <https://mail.uphs.upenn.edu/owa/redir.aspx?SURL=y44JoDKtWxPkUtTXoC_Nf05OEJx…> .

May 25, 2017