- Comp-neuro - lists.cnsorg.org

PhD Positions in Computational Neuroscience at the University of Hertfordshire
by Volker Steuber 30 Apr '20

30 Apr '20

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 brain 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 15,009 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 [https://www.herts.ac.uk/__data/assets/image/0016/203434/uhsociallogo.png]<http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research…> The PhD Programme in Computer Science<http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research…> See a list of exciting research topics www.herts.ac.uk Lynette Spelman and Emma Thorogood Research Student Administrators University of Hertfordshire College Lane Hatfield, Herts AL10 9AB tel: +44 (0)1707 286083 doctoralcollegeadmissions(a)herts.ac.uk The short-listing process will begin on 1 July 2019.

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Postdoctoral Position in Computational Neuroscience, Barcelona
by Alex Roxin 30 Apr '20

30 Apr '20

The Computational Neuroscience Group at the Centre de Recerca Matemàtica in Bellaterra (Barcelona), Spain, is looking for a postdoctoral researcher to model dynamics, plasticity and learning in hippocampal circuits. The goal is to understand how sensory-driven activity in areas CA3 and CA1 during spatial exploration leads to memory formation in rodents. The work involves network modelling as well as the analysis of in-vivo electrophysiological and calcium imaging data provided by experimental collaborators. The ideal candidate has a strong technical background, such as in Computational Neuroscience, Applied Mathematics, Physics or similar. To apply, please send a CV, letter of motivation and the names of two references to Alex Roxin at aroxin(a)crm.cat Applications will be accepted until the position is filled. Pre-application inquiries are also welcome. -- Alex Roxin Computational Neuroscience Group Centre de Recerca Matemàtica Campus de Bellaterra, Edifici C 08193, Bellaterra (Barcelona) Spain https://sites.google.com/site/alexanderroxin/home

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Open positions at the SimLab Neuroscience, Juelich, Germany
by Abigail Morrison 28 Apr '20

28 Apr '20

Dear colleagues, We have two open positions available in the SimLab Neuroscience at the Juelich Supercomputing Centre, Juelich Research Centre, Germany. For the full descriptions and details of how to apply, please see the announcements on our website: Scientific Software Developer with a focus on neuroscience community engagement https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-061-E… Research Scientist – Development of Neuroscience Data Transport Middleware on High-Performance Computing Systems https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-128-E… The deadline for applications is 10 May 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2020) - Deadline 11 June 2020
by Konstantinos Sechidis 28 Apr '20

28 Apr '20

*** Call For Papers PharML 2020: Machine Learning for Pharma and Healthcare Applications We invite contributions from both industry and academia to share their research and experience in using artificial intelligence and machine learning methods in pharmaceutical research and development. PharML will be held at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) to take place in Ghent, Belgium, on 14th - 18th of September 2020. Submission Guidelines We invite authors to submit extended abstracts including preliminary results as well as published work. Authors should submit a paper of up to 4 pages (excluding references). Longer papers will be rejected immediately. Priority will be given to unpublished work. Authors should commit to present their work at the workshop in case it is accepted for an oral or poster presentation. All accepted abstracts will be posted on the workshop's website. - All manuscripts will be peer-reviewed, double-blinded - Abstracts should be in PDF format, following the Springer Lecture Notes in Computer Science style https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer… - Submissions should be done via the workshop EasyChair page https://easychair.org/my/conference?conf=pharml2020# Topics of Interest The following list, although not exhaustive, covers some of the main topics that will be discussed in the workshop. - Learning on Graphs - Representing patients and molecules as graphs - Transfer learning and generative models - Modelling dynamic graphs - Node and link prediction on molecular graphs - Biological pathway mining for cancer biomarker discovery - Machine learning with brain graphs - Causal structure learning from real world data - Deep learning in healthcare and pharmaceutical research - Medical Imaging - Natural Language Processing - Reinforcement learning in computer-assisted procedures - Audio Processing - Time series analysis - Bayesian methods - Modelling uncertainty - Bayesian methods for classification and imputation - Bayesian networks - General machine learning methods for healthcare and pharma - Machine learning for personalized healthcare - Multimodal machine learning (e.g. combining genomics, pathology reports, clinical data to predict survival) - Remote sensing for healthcare applications - Causal inference with observational data - Subgroup discovery and targeted learning - Longitudinal and trajectory data analysis - Medical decision support Workshop Programme The workshop will feature: - Invited keynote speakers from academia (Stephan Günnemann, Technische Universität München) and industry (Fabien Gaire, Roche). - Oral presentations - A poster session The full programme will be posted on the workshop's website in due course. Important dates Submission Deadline: June 11, 2020 Notification: July 09, 2020 Camera ready: TBA Workshop date: TBA (Monday 14th or Friday 18th of September) Committees Organizing Committee - Lee Cooper (Northwestern University, USA) - Naghmeh Ghazaleh (Roche, Switzerland) - Jonas Richiardi (Lausanne University Hospital, Switzerland) - Damian Roqueiro (ETH Zurich, Switzerland) - Diego Saldana (Roche, Switzerland) - Konstantinos Sechidis (Roche, Switzerland) Program Committee - Laura Azzimonti (IDSIA, Switzerland) - Christian Bock (ETH Zurich, Switzerland) - Christoph Freyre (Novartis, Switzerland) - Geoffrey Fucile (University of Basel, Switzerland) - Marius Garmhausen (Roche, Switzerland) - Elisabetta Ghisu (ETH Zurich, Switzerland) - Max Horn (ETH Zurich, Switzerland) - Elina Koletou (Roche, Switzerland) - Valeria De Luca (Novartis, Switzerland) - Matteo Manica (IBM, Switzerland) - Joseph Mellor (University of Edinburgh, UK) - Michael Mitchley (Roche, Switzerland) - Michael Moor (ETH Zurich, Switzerland) - Nikolaos Nikolaou (UCL, UK) - Marilena Oita, (Simply Vision, Switzerland) - Konstantinos Papangelou (University of Manchester, UK) - Laetitia Papaxanthos (Google Brain, France) - Jon Parkinson (University of Manchester, UK) - Maria Giulia Preti (EPFL, Switzerland) - Bastian Rieck (ETH Zurich, Switzerland) - Elizaveta Semenova (AstraZeneca, UK) - Grigorios Tsoumakas (Aristotle University of Thessaloniki, Greece) Venue Colocated with ECML-PKDD, Ghent, Belgium, on September 14-18, 2020. Contact Visit the official website of the workshop for additional details. https://sites.google.com/view/pharml2020 If you have questions, please send us an e-mail to: pharml2020(a)easychair.org

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Announcing the release of the CompNeuro-Fedora OS for Computational Neuroscientists
by Ankur Sinha 28 Apr '20

28 Apr '20

Hello everyone, (Apologies for the cross-posts) The NeuroFedora team is excited to announce the first release of the CompNeuro-Fedora operating system for computational neuroscientists. https://labs.fedoraproject.org/en/comp-neuro/ CompNeuro-Fedora is a Fedora Linux based Free/Open Source operating system that includes a plethora of tools for computational modelling. These tools are built from their sources as per the Fedora packaging guidelines that enforce the current best practices in software development. So, all you have to do is: - download the image, - install it to disk or a virtual machine (or run it "live"), and - get to work! This release of the ISO image is based on the popular GNOME desktop environment. For computational neuroscience, it includes: Auryn, Bionetgen, Calc: calcium-calculator, COPASI, GetDP, GENESIS, MOOSE, NEST simulator, NEURON, PyLEMS, Smoldyn; along with multiple tools used in analysis: the complete Python science stack: NumPy, SciPy, Matplotlib, IPython, SymPy, and Pandas, R, Julia, GNU Octave, GNUPlot, Paraview, and others. Apart from this set of tools, the NeuroFedora team also provides more neuroscience software that can be installed from the Fedora repositories. Additionally, you also have access to the *complete* set of Free/Open Source software packages available for the Fedora Linux distribution. You can read more about the CompNeuro-Fedora release here: https://neuroblog.fedoraproject.org/2020/04/28/fedora-32-computational-neur… NeuroFedora is a Free/Open Source volunteer community based initiative to support the use of Free/Open Source software in Neuroscience. The team consists wholly of volunteers who spend a few hours a week on this project. We would love to hear from you, and for you to join us. We, especially encourage students to join the community to develop their skills while contributing to NeuroFedora. You can learn more about NeuroFedora here: https://neuro.fedoraproject.org You can get in touch with the community using any of our communication channels: https://docs.fedoraproject.org/en-US/neurofedora/communicating/ -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in PhD candidate in computational neuroscience at UH Biocomputation | http://biocomputation.herts.ac.uk/ Research Fellow at the Silver Lab | http://silverlab.org/ Free/Open source community volunteer at the Fedora project | https://fedoraproject.org/wiki/User:Ankursinha Time zone: Europe/London

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Two postdoctoral positions in cellular electrophysiology and neurobiology at SISSA, Italy
by Michele Giugliano 28 Apr '20

28 Apr '20

Apologies for cross posting Two postdoctoral positions in cellular electrophysiology and neurobiology at SISSA, Italy 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 covered for up to 38 months each, on an EC-Horizon 2020 funded project called "Ionic Neuromodulation For Epilepsy Treatment (IN-FET)". (www.in-fet.eu <http://www.in-fet.eu/>) 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 28/05/2020 and the link to apply is: https://pica.cineca.it/sissa/ar-fe-neur-29-2020/ <https://pica.cineca.it/sissa/ar-fe-neur-29-2020/> More information at: https://www.sissa.it/bandi/selezione-pubblica-titoli-colloquio-conferimento… <https://www.sissa.it/bandi/selezione-pubblica-titoli-colloquio-conferimento…> For scientific inquiries, email to michele.giugliano_AT_sissa.it For administrative inquiries, email to assegniricerca_AT_sissa.it

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CFP Deadline Extension - 10th IEEE International Conference on Development and Learning (ICDL), Valparaiso Chile
by Pablo Vinicius Alves De Barros 28 Apr '20

28 Apr '20

We hope that this message finds you healthy and that you and your families are safe and well during these difficult times! Since many countries are still under heavy pressure from COVID-19 together with the fact the Southern Hemisphere is just entering winter, we have decided to reschedule the conference to the 28th to the 30th of October. The conference will be hybrid, hosting both onsite and online participants. Online participants will have a reduced fee. We have also extended the submission deadline, and already submitted papers can be modified. CALL FOR PAPERS DEADLINE EXTENDED: 10th IEEE International Conference on Development and Learning (ICDL) (This is the follow-up of the previous ICDL-EpiRob conference series) 28th-30th October 2020, Valparaiso, Chile https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Paper Submission Deadline: 14th June 2020 Paper Author Notification: 13th July 2020 Final Paper Version Due: 16th August 2020 Conference: 28th-30th October 2020 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ICDL-EpiRob: Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics » ICDL 2020<https://cdstc.gitlab.io/icdl-2020/> cdstc.gitlab.io IEEE International Conference on Development and Learning (ICDL), previously known as Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob). IEEE, CIS, CDSTC, Electrical and Electronic Engineers Inc., Computational Intelligence Society, Cognitive and Developmental Systems Technical Committee, Autonomous Mental Development . ICDL, IEEE International Conference on Development and Learning, 2020, 10th, Valparaíso, Chile. This page includes content related to call for papers, call for contributions, registration, submissions, attend, program, call, guidelines, computer science, robotics, psychology and developmental studies, sponsors, creative commons, license, research, about us. ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicolás Navarro-Guerrero, and María-José Escobar Bridge Chairs: Minoru Asada, Frédéric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Cristóbal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee, ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia – Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros(a)iit.it website: https://www.pablobarros.net<http://www.pablobarros.net><https://www.p> twitter: @PBarros_br

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Invitation and call for abstracts for VCCA2020 - Computational Audiology
by Yağmur Güçlütürk 28 Apr '20

28 Apr '20

Dear List, It is our pleasure to send out this Save the date and call for abstracts for the *first Virtual Conference on Computational Audiology* (VCCA) to be held on *June 19, 2020*! In these times of social distancing, we intend to use the opportunities modern communication technology offers to bring researchers from all over the world together in a virtual conference setting. What better topic than the combination of audiology — the primary sense humans use for communication — and AI/computation — an advanced means by which we try to model and make sense of the world? We have subdivided this broad topic into: - Computational models - Machine learning for audiology - AI for auditory implants - e-Audiology (connected hearing health care) - AI & Music (for hearing impaired people) Our central mission is to improve (access to) hearing healthcare for more than 450 million hearing impaired people worldwide. The target audience for this conference is young researchers that wish to present their work and ideas. We offer a podium to receive feedback from peers and to get mentored by senior researchers. The choice for a virtual conference means: - There will be no participation fee - We can more easily reach out to research groups in AI and Audiology worldwide. There is a *young scientist award* for the best contribution to encourage input from young scientists. *Format* All presentations and discussions will be recorded and together with the submitted abstracts made freely accessible via our website <https://computationalaudiology.com/>. We would like to take advantage of the virtual aspects of this conference by creating sessions that consist of a mixture of different talk and discussion formats and distribute time slots over a 24 hour period. We provide the opportunity for researchers and research groups to submit one-minute videos explaining their work, which will be placed on the conference website. We also offer the opportunity to submit links to research group websites and announcements of webinars to be placed on the conference website. Last but not least, we will encourage social interaction by providing virtual “coffee breaks” and other social activities. *Abstract submission* Abstracts of 300+/- words in length will be accepted online and must include Background, Methods, Results, and Conclusions (click this link <https://computationalaudiology.com/ai-speech-recognition-apps-for-hearing-i…>, for an example). Submissions must include an e-mail address for all co-presenters/co-authors, and we strongly recommend the inclusion of a 2-minute ignite style <http://www.ignitetalks.io/> video (here on this page is a 2-minute example <https://computationalaudiology.com/vcca2020-program/> by Prof Barbour). The link to the portal to submit your abstract online will be available at https://computationalaudiology.com/vcca2020-call-for-abstracts/ on May 15, 2020. The deadline for abstract submission is *May 31* (we’ll try to upload abstract starting May 15). Notification of abstract acceptance will be *June 5.* Note: If you forward this message, please add vcca2020(a)computationalaudiology.com in cc, so that we can track who already received our invitation. *Further information* https://computationalaudiology.com/ https://computationalaudiology.com/event/virtual-conference-on-computationa… We will regularly update the conference website with new information. Feel free to send questions or suggestions to vcca2020(a)computationalaudiology.com Kind regards, *the Organizing committee* Yağmur Güçlütürk Peter van Hengel Alex Tichter Jan-Willem Wasmann -- Dr. Yağmur Güçlütürk Assistant Professor at Cognitive Artificial Intelligence Department <https://www.ru.nl/cai/>, Donders Institute for Brain, Cognition and Behaviour <http://www.ru.nl/donders>, Radboud University <http://www.ru.nl/english>, Nijmegen, Netherlands Email: y.gucluturk(a)donders.ru.nl Telephone: +310243611175 Postal address: Postbus 9104 6500 HE Nijmegen Netherlands Visiting address: SP B 00.78A Montessorilaan 3 6525 HR Nijmegen Netherlands <https://www.google.nl/maps/place/Spinozagebouw/@51.8192802,5.8579337,17z/da…>

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[CFP] (Deadline tomorrow on Wednesday, April 29) IEEE RO-MAN 2020 Special Session on Applied Emotion/Mind-Aware Neuroimaging in Real-world Human-Robot
by Ker-Jiun Wang 27 Apr '20

27 Apr '20

29th IEEE International Conference on Robot and Human Interactive Communication(IEEE RO-MAN2020) *SPECIAL SESSION* *Applied Emotion/Mind-Aware Neuroimaging in Real-world Human-Robot Symbiosis with Heart, Mind, and Soul* *(Website: **http://ro-man2020.unina.it/special-sessions.php* <http://ro-man2020.unina.it/special-sessions.php>*)* *CALL FOR PAPERS* *(Download CFP: **https://tinyurl.com/tgvhue5* <https://tinyurl.com/tgvhue5> *)* *Title* *Applied Emotion/Mind-Aware Neuroimaging in Real-world Human-Robot Symbiosis with Heart, Mind, and Soul* *Motivation and goals* Wearable technologies that connect human with the surrounding smart environment could potentially replace the cellphone and other cumbersome tablet/laptops to become the next generation human-computer interface. It opens a new frontier of using stretchable, sticky and flexible body sensors, galvanic skin response (GSR), photoplethysmogram (PPG), inertial measurement unit (IMUs), and neurophysiological electrodes, such as EEG/EMG/ECG/EKG to measure various brain and body activity signals, and decode meaningful information for multi-modal interactions. Such dramatic shift of paradigm can be manifested in many technology development from big companies/startups, like Google, Apple, Microsoft, Facebook, Samsung and Neuralink (Elon Musk), etc., to build more mobile, invisible, ubiquitous, compact computing platforms, such as smart watches, smart glasses, smart headphones, VR/AR headsets, and state-of-the-art Brain-Computer Interfaces (BCIs), in which the devices embed various kinds of sensors and electrodes to directly/indirectly interpret human body states, intentions, emotions and/or even high level motivations from neural signals, while other “out-of-body” sensors, like cameras, could not observe. Along with the scientific and practical implementation challenges of such technology, the personal big data collection also brings a lot of social norms, privacy and ethical issues as well. In this Special Session, we want to solicit impactful paper contributions to push the boundary to the limit, in order to explore the most critical issues in applying this futuristic technology to the real-world environment. Since our human have complex behaviors, which involve multiple disciplinary explanations, the technologies that closely-interact and solve the human-related problems should also reflect such complex multidisciplinary nature. As part of purely theoretical findings, we will also create a multidisciplinary educational and discussion forum, in which we will have industrial applications, art and design, consumer electronics, embedded system and mobile computing, Human-Robot Neural Interaction (HRNI) user experience/interface (UX/UI) design, and social norm and ethical paper presentations to discuss the emotion/mind-aware data collection and the use of AI to fully release the potential of this promising technology. Hopefully our dedicated effort of organizing this Special Session focusing on Emotion/Mind-Aware Neuroimaging could make such futuristic promising technology more human-centered, with more human-like heart, mind, and soul to interact with the people, the robot, and all other smart IoT devices, to enable a seamless Human-Robot Symbiotic society. Areas of interest include but are not limited to: *List of Topics* - Affective Computing - Wearable Platform and Wearable Device Form Factor Design - Soft Robotics - AI, Big Data, IoT, Deep Learning - Machine Learning and Biosignal Processing - Brain-Computer Interface and Physiological Signal Measurement - Invasive and Non-Invasive Brain-Computer Interface - Wearable Computing and Embedded System, IC/SoC design - Consumer Electronics Applications - Cloud/Edge Computing - Human-Robot/Computer Interaction - Neuroprosthesis, Exoskeleton, Rehabilitation robot - Biofeedback/Neurofeedback Training - Human-Robot Neural Interaction (HRNI) User Experience/Interface Design - Human-Centered Natural Interaction Design - Social Norms and Ethical issues of Using Emotion-Aware Big Data *PAPER SUBMISSIONS* Authors are invited to submit a *6~8-page (regular) Special Session paper* via RO-Man 2020 portal in *Papercept* (https://ras.papercept.net/) using *Special Session code* (Code: gxf38). Manuscripts are in double-column IEEE format following the official IEEE Manuscript Formatting guidelines. Review will be single-blind, so please retain all authors information in the submissions. Also consider the IEEE policies for publications. The conference proceedings will be included in the *IEEE Xplore Digital Library* . *Submission link* https://ras.papercept.net/ *Submission Code* *"gxf38"* *SPECIAL ANNOUNCEMENT* *Due to COVID-19, we are now accepting "Video Live Streaming" and/or "Video Recording" presentations, so the accepted papers can be presented remotely! **The paper submission deadline has been extended to the 29th of April to provide authors of the time to produce their best work, despite the many additional challenges we are facing at the moment. We are considering alternatives to allow for remote participation to both the main conference and workshops should disruptions still occur in September. All accepted papers will be published in the conference proceedings and uploaded to IEEE Xplore, regardless of whether a physical or virtual presentation will be given.* *IMPORTANT DATES* - *Submission deadline for full papers: April 29, 2020 (extended)* - Notifications: June 15, 2020 - Final camera ready deadline: June 30, 2020 - Conference: August 31 - September 4, 2020 *ORGANIZERS* Ker-Jiun Wang (University of Pittsburgh) Mohammad Shidujaman (Tsinghua University) Caroline Yan Zheng (Royal College of Art) Maitreyee Wairagkar (Imperial College of London) Midori Sugaya (Shibaura Institute of Technology) Zhi-Hong Mao (University of Pittsburgh) Kai-Tai Song (National Chiao Tung University) Kindest regards, *Ker-Jiun Wang, PhD* Department of Bioengineering University of Pittsburgh On Behalf of Organizing Committees of Applied Emotion/Mind-Aware Neuroimaging in Real-world Human-Robot Symbiosis with Heart, Mind, and Soul

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Hiring postdoc at Georgia Tech
by Christopher Rozell 23 Apr '20

23 Apr '20

A postdoctoral position at the intersection of computational neuroscience and closed-loop optogenetic stimulation is available in the lab of Christopher Rozell at the Georgia Institute of Technology (Atlanta, GA). This BRAIN Initiative research project seeks to advance the field of closed-loop computational neuroscience by using real-time feedback stimulation during experiments to decouple recurrently connected circuit elements and make stronger causal inferences about circuit interactions. This position will have a broad opportunity to develop models and algorithms that are implemented in novel experiments using closed-loop optogenetic stimulation. We aim to provide both new scientific insight about computational in neural circuits (especially sensory coding in the thalamo-cortical circuit) as well as new approaches and algorithmic tools for the community to use in novel electrophysiology experiments. This position will work as part of a team and in close collaboration with the experimental lab of Garrett Stanley (also at Georgia Tech), and it is expected that the computational and algorithmic approaches will be implemented experimentally through close partnership with experimentalists in the Stanley Laboratory. Applicants should hold a PhD in a related discipline with a strong record of research impact, quantitative thinking and collaborative work. Experience in computational neuroscience, machine learning, feedback control, and causal inference is all advantageous. The lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are also required. This particular project is part of the Collaborative Research in Computational Neuroscience program (CRCNS), providing access to a community of researchers across the country who are focused on similar types of collaborations between computational and experimental labs. Georgia Tech's campus in the heart of midtown Atlanta, which has a thriving and collaborative neuroscience community that has a particular emphasis on computational and systems neuroscience. Atlanta is also one of the fastest-growing metropolitan areas in the United States, boasting a wide range of opportunities for recreation and culture. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. The ideal start would be during summer 2020, but dates beyond that may be considered depending on the fit of the candidate. The position is initially for 12 months with the possibility and expectation of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to crozell(a)gatech.edu with the subject line "CRCNS postdoc". Application review will proceed until the position is filled and should be received by April 27 for full consideration. If the current COVID19 situation will delay the ability to apply by this deadline, please send a short note indicating that you intend to apply.

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