- Comp-neuro - lists.cnsorg.org

Doctoral position on causal inference and explainable AI at the University of Vienna
by Moritz Grosse-Wentrup Nov. 25, 2021

Nov. 25, 2021

We have an opening for a doctoral position in the Neuroinformatics Group at the University of Vienna (https://ni.cs.univie.ac.at/) The project's goal is to develop causal inference methods that generate human-interpretable concepts for explainable AI. These methods will be applied in close collaboration with other group members to study the link between neuronal activity and cognition in artificial and biological intelligent systems. We are looking for an intrinsically motivated student with a Master (or equivalent) degree in Computer Science, Neural Engineering, Electrical Engineering, Mathematics, Physics, or a related field. We expect strong competencies in machine learning and programming, as well as a passion for interdisciplinary research in general and learning about the brain in particular. The ability to speak German would be beneficial but is not required. Employment is according to the collective bargaining agreement §48 VwGr. B1 Grundstufe (praedoc, 75%), see http://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sche… The duration of employment is three years and can be extended to a maximum of four years. The initial contract will be limited to 1.5 years and automatically renewed for another 1.5 years at the end of the 12-month probation period. Job duties involve research as well as teaching (in English or German). The Neuroinformatics Group is part of the Faculty of Computer Science at the University of Vienna, the oldest and largest public research university in the German-speaking world (https://en.wikipedia.org/wiki/University_of_Vienna) Research in our group focuses on two topics: Causal inference for bridging the gap between neuronal activity and cognition and AI/ML algorithms for brain-computer interfacing. Our offices are located in downtown Vienna, a city that has been repeatedly ranked as having the world's highest quality of living. We strive to be a diverse research group and particularly welcome (and, given equal qualifications, give preference to) applications from groups currently underrepresented in academia! To apply, please set up an account (https://zid.univie.ac.at/en/setting-up-a-uaccount/) and submit the following documents via https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277: * Letter of motivation (~one page) * CV * Abstract of Master thesis * Degree certificates * Contact information of two referees * List of publications and evidence of teaching experience (if any) The application deadline is the 13th of December, 2021. Please choose reference number "#06 PC2: Neuroinformatics, Prof. Grosse-Wentrup" when submitting your application. Because there are two separate projects linked to this call, please indicate in your motivation letter whether you are applying to the BCI or the causal inference project. If you have any questions prior to applying, please feel free to contact me via moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Doctoral position on AI / ML algorithms for invasive brain-computer interfacing at the University of Vienna
by Moritz Grosse-Wentrup Nov. 25, 2021

Nov. 25, 2021

We have an opening for a doctoral position to develop artificial intelligence / machine learning algorithms for invasive brain-computer interfacing (BCI) in the Neuroinformatics Group at the University of Vienna (https://ni.cs.univie.ac.at/) The project's goal is to develop a language BCI based on invasive, single-cell recordings in a human subject. The project will be carried out in close collaboration with Simon Jacob at the Technical University Munich (http://simonjacob.de/) We are looking for an intrinsically motivated student with a Master's (or equivalent) degree in Computer Science, Neural Engineering, Electrical Engineering, Mathematics, Physics, or a related field. We expect strong competencies in machine learning and programming, as well as a passion for interdisciplinary research in general and learning about the brain in particular. The ability to speak German would be beneficial but is not required. Employment is according to the collective bargaining agreement §48 VwGr. B1 Grundstufe (praedoc, 75%), see http://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sche… The duration of employment is three years and can be extended to a maximum of four years. The initial contract will be limited to 1.5 years and automatically renewed for another 1.5 years at the end of the 12-month probation period. Job duties involve research as well as teaching (in English or German). The Neuroinformatics Group is part of the Faculty of Computer Science at the University of Vienna, the oldest and largest public research university in the German-speaking world (https://en.wikipedia.org/wiki/University_of_Vienna) Research in our group focuses on two topics: Causal inference for bridging the gap between neuronal activity and cognition and AI/ML algorithms for brain-computer interfacing. Our offices are located in downtown Vienna, a city that has been repeatedly ranked as having the world's highest quality of living. We strive to be a diverse research group and particularly welcome (and, given equal qualifications, give preference to) applications from groups currently underrepresented in academia. To apply, please set up an account (https://zid.univie.ac.at/en/setting-up-a-uaccount/) and submit the following documents via https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277: * Letter of motivation (~one page) * CV * Abstract of Master thesis * Degree certificates * Contact information of two referees * List of publications and evidence of teaching experience (if any) The application deadline is the 13th of December, 2021. Please choose reference number "#06 PC2: Neuroinformatics, Prof. Grosse-Wentrup" when submitting your application. Because there are two separate projects linked to this call, please indicate in your motivation letter whether you are applying to the BCI or the causal inference project. If you have any questions prior to applying, please feel free to contact me via moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Multiple Ph.D. Positions in AI and Machine Learning at Indiana University Bloomington
by Zoran Tiganj Nov. 25, 2021

Nov. 25, 2021

The Center for Machine Learning at Indiana University brings together over 10 faculty working in areas including theory, reinforcement learning, statistical learning, speech and audio processing, robotics, planning and control, medical image processing, graphical models, computational neuroscience, computer vision, case-based reasoning, and deep learning. Please visit our Center website at https://cml.luddy.indiana.edu/people/. Together we have at least 10 PhD positions available for Fall 2022 admission. Topics include: - Algorithms for ML: scalable (e.g., parallel, distributed round/communication-efficient) algorithms for reinforcement learning, online learning, clustering. - Probabilistic ML: graphical models, efficient inference algorithms, applications, and computational/statistical learning theory. - AI: probabilistic planning, unsupervised learning, memory augmentation, reinforcement learning, and the connections between planning and probabilistic inference. - Robotics: planning, decision-making, and learning methods for autonomous robotic systems, and coordination approaches for distributed multi-robot or swarm systems. - Computer Vision: object and action recognition, 3D reconstruction, egocentric computer vision, deep learning, and graphical model inference. - ML and DL for speech/music/audio processing: speech enhancement, source separation, privacy and security for speech/audio applications, speech/audio coding, music information retrieval and music signal processing For all areas ideal candidates should have demonstrable strong math and theory skills and/or excellent programming and system building skills. Background in the relevant areas listed above is of course desirable. Applicants should have received a Bachelor’s degree in computer science, engineering, statistics, or related fields. The Center brings together faculty from different departments across the university, including Computer Science, Intelligent Systems Engineering, and Statistics. Each faculty has a home department (listed on the website above) but can advise students in other departments. Please mention the faculty with whom you would like to work in your Statement of Purpose. You may apply to multiple programs. For best consideration, please submit applications by these dates: - Computer Science: Priority deadline: December 1, 2021, Second round: January 1, 2022 - Intelligent Systems Engineering: Priority deadline: December 1, 2021, Second round: January 1, 2022 - Statistical Science: Priority deadline: January 15, 2022 For detailed information about the programs and application process, please visit: https://luddy.indiana.edu/admissions/apply/graduate.html Email inquiries: - For information about the admission process or requirements, please write goluddy(a)indiana.edu - For information about the Center for Machine Learning, please contact iucml(a)indiana.edu - For information about specific positions or projects, please write to the faculty member directly.

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Readership/Principal Lectureship in Robotics and Adaptive Systems at the University of Hertfordshire
by Volker Steuber Nov. 25, 2021

Nov. 25, 2021

Readership/Principal Lectureship in Robotics and Adaptive Systems School of Physics, Engineering and Computer Science University of Hertfordshire, Hatfield, UK Closing: 6. December 2021 Applications are invited for a Reader/Principal Lectureship on emerging topics in Robotics/AI, including, but not limited to: - Robotics: embodied and/or cognitive robotics, soft robotics, adaptive or evolutionary robotic design, robot safety and ethics, sensorics and robotics, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics, human-robot interaction, agricultural robotics - Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms - 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 #complexsystems - 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 #computeralgebra - AI and applications: financial modelling, AI and biology/physics/cognitive sciences - Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life #artificiallife Closing Date: 6. December 2021 To apply and for further information, please see: https://www.jobs.ac.uk/job/CKJ638/reader-principal-lecturer-in-robotics-and… 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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Postdoc at the University of Leicester to work on human single cell recordings
by Quian Quiroga, Rodrigo (Prof.) Nov. 23, 2021

Nov. 23, 2021

The Centre for Systems Neuroscience at the University of Leicester, UK, offers a 3-years postdoc position to study single cell recordings in humans – performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. For more details see: www.le.ac.uk/csn The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory. He/She should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. He/She should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators. Informal enquiries are welcome and should be made to Paula Warrington, Research Centre Manager, csn(a)le.ac.uk or 0116 252 3249. To apply, please use this link: https://jobs.le.ac.uk/vacancies/1393/research-associate.html The applications should include a curriculum vitae and a brief description of their scientific interests The closing date for the applications is 21st October 2019. Cheers, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

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Research Fellow in Cognitive neuroscience at the University of Sussex
by Anil Seth Nov. 23, 2021

Nov. 23, 2021

Research Fellow in Cognitive Neuroscience University of Sussex (Sackler Centre for Consciousness Science) and the University of Glasgow Full time or part time hours considered up, fixed term for 15 months until 31 March 2023 (potentially extendable) Closing date: 1 December 2021. Starting date: As soon as possible Details and how to apply: https://www.sussex.ac.uk/about/jobs/research-fellow-in-cognitive-neuroscien… The Sackler Centre for Consciousness Science is seeking applications from a highly motivated post-doctoral research scientist to join Dreamachine - a ground-breaking new creative programme commissioned for UNBOXED, a collection of large-scale public engagement projects taking place across the UK next year. http://www.unboxed2022.uk www.dreamachine.world<http://www.dreamachine.world/> With a strong background in cognitive neuroscience or a similar discipline, programming and data management, you will work as part of a multidisciplinary team, including members of the Sackler Centre and collaborators at the University of Glasgow, to develop an interactive suite of online experiments investigating individual differences in perception. This project has the potential to engage millions of people within the U.K. Since 2010, The Sackler Centre for Consciousness Science has pioneered the multidisciplinary study of the biological basis of conscious experience. The Centre bridges four Schools at the University of Sussex: Informatics and Engineering, Psychology, Philosophy, and Brighton and Sussex Medical School (BSMS) and is internationally renowned as a beacon of excellence for consciousness science, its clinical application, and engagement and outreach within and beyond academia. Please contact Dr. D. Schwartzman: D.Schwartzman(a)sussex.ac.uk<mailto:D.Schwartzman@sussex.ac.uk> or Prof A. Seth (A.K.Seth(a)sussex.ac.uk<mailto:A.K.Seth@sussex.ac.uk>) for informal enquiries. The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero P Simoncelli Nov. 23, 2021

Nov. 23, 2021

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://as.nyu.edu/cns/DoctoralProgram.html] * SueYeon Chung (starting Sep 2022) - NeuroAI and geometry. * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams (starting Jan 2022) - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://med.nyu.edu/departments-institutes/neuroscience/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Brendan Lake (also in the Center for Data Science) - Computational modeling of cognition, deep learning. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Mathematics (deadline: 4 January) [http://math.nyu.edu/degree/phd/] * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Data Science (deadline: 12 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. Physics (deadline: 18 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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Three Postdoc at U Minnesota (fMRI / ML / UHF-fMRI 7T-10.5T/ Child Brain Development/Connectotyping)
by cristian morales Nov. 22, 2021

Nov. 22, 2021

Hi, hope you are doing well. can you please post the following announcement? feel free to get in touch if you have any questions thanks Come work with the DCAN Lab at the University of Minnesota! Several PIs are looking for postdocs interested in topics ranging from high field neuroimaging <https://hr.myu.umn.edu/jobs/ext/343116> to personalized functional connectivity <https://hr.myu.umn.edu/jobs/ext/344087> to machine learning/data science <https://hr.myu.umn.edu/jobs/ext/344086>. You'll get to work with some of the top researchers in the fields of brain imaging and child development. More info on each position Subtyping: https://hr.myu.umn.edu/jobs/ext/344086 - The Developmental Cognition and Neuroimaging Lab (DCAN Lab) announces the availability of a postdoctoral position with Dr. *Eric Feczko*, MBI, PhD. This scientist should have a documented background and interest in child mental health research and also have experience with machine learning and data science, with interest to learn more about and understand developmental brain function in infants and children Connectotyping: https://hr.myu.umn.edu/jobs/ext/344087 - The Developmental Cognition and Neuroimaging Lab (DCAN Lab) announces the availability of a postdoctoral position with *Oscar Miranda-Domínguez*, MSC, PhD. The position will support studies using connectotyping to examine personalized maps of functional connectivity and longitudinal trajectories for the association between brain function and behavior. The work will also include support for other federally funded brain imaging studies on the development of attention, learning, and cognition. 7T/10.5T: https://hr.myu.umn.edu/jobs/ext/343116 - The Center for Magnetic Resonance Research (CMRR) and Developmental Cognition and Neuroimaging Lab (DCAN Lab) announces the availability of a postdoctoral position with *Damien Fair*, PA-C, PhD. This scientist should have a documented background and interest in using high field brain imaging (7T and 10.5T) in their research and also have experience using computational neuroscience, with interest to learn more about and understand developmental brain function in infants and children and/or non-human primates.

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10 fully-funded PhD Positions in Neurobiology of Behavior | IMPRS for Brain & Behavior | Bonn, Germany
by Ezgi Bulca Nov. 22, 2021

Nov. 22, 2021

Dear colleagues, The International Max Planck Research School (IMPRS) for Brain & Behavior PhD applications are open with a deadline on December 1, 2021. Could you please forward our call to interested Master's students? Thank you! 10 fully-funded PhD Positions in Neurobiology of Behavior | IMPRS for Brain & Behavior Bonn, Germany Apply to our fully funded, international PhD program in the Max Planck Society! IMPRS for Brain & Behavior is a PhD program in Bonn, Germany that offers a competitive world-class PhD training and research program in the field of neuroethology. IMPRS for Brain & Behavior is a collaboration between research center caesar<https://www.caesar.de/en/> (a neuroethology institute of the Max Planck Society), the University of Bonn<https://www.uni-bonn.de/en>, and the German Center for Neurodegenerative Disease (<https://www.dzne.de/en/about-us/sites/bonn/>DZNE) in Bonn<https://www.dzne.de/en/about-us/sites/bonn/>. The Projects 20 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://imprs-brain-behavior.mpg.de/faculty_members) for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn, Germany. Your Profile * Proven track record of academic and research excellence * Master's degree in life sciences, physics, mathematics, computer science, engineering, or other relevant subject (Degree should be concluded before admission to the PhD, latest by November 2022) * Fluency in written and spoken English * Research experience is of advantage Our Offer Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the-art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for the whole duration of studies and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Application deadline: December 1, 2021 https://imprs-brain-behavior.mpg.de/ You will need: CV, letter of motivation, contact info for 2 referees, academic certificates and transcripts. Only online applications accepted. Short-listed candidates will be interviewed online in February 2022. Positions must be started latest in November 2022. If you have any questions, feel free to contact the coordinator Ezgi Bulca at imprs.info(a)caesar.de<mailto:imprs.info@caesar.de> . Kind regards from Bonn, Ezgi Ezgi Bulca IMPRS for Brain & Behavior Coordinator phone +49 228 9656 318 e-mail: ezgi.bulca(a)caesar.de<mailto:ezgi.bulca@caesar.de> www.imprs-brain-behavior.mpg.de<http://www.imprs-brain-behavior.mpg.de/> https://twitter.com/IMPRSBrainBehav [IMPRS logo for email signature2] research center caesar an associate of the Max Planck Society Ludwig-Erhard-Allee 2 53175 Bonn, Germany www.caesar.de<http://www.caesar.de/>

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CFP: 8th Annual Conference of Cognitive Science Jan 2022, Abstract deadline: Nov 25
by Shyam Diwakar Nov. 20, 2021

Nov. 20, 2021

Hello All, I would like to cordially invite you and colleagues interested in or working on cognitive sciences, neurosciences or related topics to participate at ACCS8. This January 2022 event will be fully online. The abstract deadline is November 25, 2021. ACCS8: Call for contributions 8th Annual Conference of Cognitive Science (ACCS8) Amrita University, India – 20 – 22 January 2022 https://www.amrita.edu/accs8 The 8th edition of ACCS, to be hosted by Amrita Vishwa Vidyapeetham (Amrita University), Kerala, India will be held virtually. Registration will be free but mandatory to attend. List of our invited speakers, TPC and other info at https://www.amrita.edu/event/accs8 CONFERENCE TOPICS Like in our previous years, the ACCS8 conference is open to all topics with Cognitive Science as a discipline, and in various areas of study, including Neuroscience, Artificial Intelligence, Linguistics, Skilling, Medicine, Anthropology, Psychology, Philosophy, and Education. SUBMISSION GUIDELINES We welcome abstracts (min word limit:500) from all areas of cognitive science and from anyone worldwide. For the 2022 online event, we are accepting only abstracts containing the salient details of your study. Please copy and paste the title and abstract into the submission form. We are not accepting any paper-length submissions this year, so do include all relevant details in the abstract itself. A small number of abstracts will be selected for oral presentations/talks. Submission link: https://easychair.org/conferences/?conf=accs8 For CFP: https://easychair.org/cfp/accs8 CONFIRMED Keynote speakers: 1. Nandini Chatterjee Singh, UNESCO MGIEP, India. 2. Claudia Wheeler-Kingshott, University College London, UK. 3. Kenji Doya, Okinawa Institute of Science and Technology, Japan. 4. Egidio D'Angelo, University of Pavia, Italy 5. Ned Block, New York University, USA. 6. Bhavani Rao, Amrita University, India. IMPORTANT DATES Abstract submission deadline November 25, 2021 BEST PAPER AWARDS We are planning some best poster and oral presentations. Please stay tuned. CONTACT All questions about submissions should be emailed to accs8conference(a)gmail.com<mailto:accs8conference@gmail.com> Previous ACCS events - https://www.amrita.edu/event/accs8/about Thank you and kind regards, Shyam Diwakar Local organizer - ACCS8 -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803116 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://docs.google.com/uc?export=download&id=1_nOxaCXob6wVcuQyYI5KVk1PhMgi…] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer : The information transmitted in this email, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. Any views expressed in any message are those of the individual sender and may not necessarily reflect the views of Amrita Vishwa Vidyapeetham. If you received this in error, please contact the sender and destroy any copies of this information.

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