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Postdoc position in deep learning, closed loop methods, and explainable ML at Cold Spring Harbor Laboratory
by Benjamin Cowley 06 Dec '22

06 Dec '22

A postdoctoral position in computational neuroscience /machine learning is available in Dr. Benjamin Cowley’s research group at Cold Spring Harbor Laboratory, NY. We are looking for a computational postdoc broadly interested in using machine learning approaches to answer scientific questions about the brain. We focus on designing *closed-loop methods for systems neuroscience* as well as building *explainable computational models of neural responses and behavior*. An important component of our work is to build tight-knit collaborations with experimental neuroscientists—collecting data and building models in tandem. A long-term goal is to identify and understand the step-by-step computations in the brain. For more information, see cowleygroup.cshl.edu Position Requirements Qualifications: PhD in machine learning, computer science, statistics, engineering, neuroscience, or related field; strong programming skills, publications in machine learning conferences or neuroscience journals, and experience or interest in neuroscience and collaborating with experimentalists. Familiarity with deep learning is recommended but not needed. To apply: Interested candidates should Please submit a CV, a short description of how our research interests overlap, and contact information for two references to: cowley(a)cshl.edu. In addition, please apply via the CSHL careers website at: https://cshl.peopleadmin.com/postings/20312 Position ID 03327-R. Candidates from non-traditional and/or underrepresented backgrounds, broadly defined, are strongly encouraged to apply. Environment Cold Spring Harbor Laboratory is a world-renowned biomedical research institution in New York. It has shaped contemporary biomedical research and is the home of eight Nobel Prize laureates. Cold Spring Harbor Laboratory provides a highly dynamic and interactive research environment and also a unique opportunity of timely exposure to advances in various biomedical research fields and of interaction with a broad range of researchers from all over the world through its renowned Meetings and Courses program. We believe that science is for everyone. We have had researchers with a variety of backgrounds and believe in the importance of diversity, equity, and inclusion. Compensation and Benefits Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, paid time off, and a range of recognition and wellness programs. Visit our CSHL Benefits & Postdoctoral Landing sites to learn more.

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Funded PhD position available in Cellular Modelling
by b.flanagan＠ulster.ac.uk 05 Dec '22

05 Dec '22

The Intelligent Systems Research Centre at Ulster University is advertising a funded PhD position for a project titled “Computational Biophysical Modelling of Motor Neuron Disease.” Within this PhD, the candidate will explore several different disciplines including neuroscience, physics, and cell biology to develop a computational biophysical model which will help our understanding of the pathway to MN death in ALS. The candidate will consider the environment of the MN neurons, including glutamate pathways, surrounding astrocytes and the movement of ions, integral to proper neuronal function. The candidate will work closely with experimental neuroscientists to validate their model in vitro, to help further our understanding of the disease and offer insights into treatment development. More details about this position are available at https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1455693. The PhD candidate will be based at the Derry campus of Ulster University, rated in the UK’s Top Ten Research Schools. Derry is located on the banks of the River Foyle in the north-west of Northern Ireland, perfectly positioned between the dramatic scenery of the Wild Atlantic Way and the Causeway Coast. It is a vibrant city seeped in history and culture, and its multitude of family-friendly activities makes Derry a great place to live. For more information, visit https://www.visitderry.com/ Essential criteria: Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study. We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction. In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications. Experience using research methods or other approaches relevant to the subject domain. A comprehensive and articulate personal statement. Desirable Criteria If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview. First Class Honours (1st) Degree Masters at 70% For VCRS Awards, Masters at 75% Experience using research methods or other approaches relevant to the subject domain Work experience relevant to the proposed project Publications - peer-reviewed Experience of presentation of research findings Please contact Bronac (b.flanagan(a)ulster.ac.uk) if you are interested or have questions. --

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My Seizure Gauge Seizure Forecasting Challenge
by Levin Kuhlmann 04 Dec '22

04 Dec '22

The 'My Seizure Gauge Seizure Forecasting Challenge' is now open from Dec 1 2022 until March 1 2023. The contest is hosted on Eval.ai and has a total prize pool of $USD 16,000. The goal is to develop seizure forecasting algorithms using wearables data. More details are available at the following link https://eval.ai/web/challenges/challenge-page/1693/overview The contest is supported by the Epilepsy Foundation of America, Seer Medical, The Mayo Clinic, Kings College London, The University of Freiburg and Monash University. -- Cheers, Levin Kuhlmann, PhD Senior Lecturer of Data Science, AI and Digital Health Director of Master of AI Faculty of Information Technology Monash University Rm 2.73, Woodside Building, Clayton Campus email: levin.kuhlmann(a)monash.edu phone: +61412 552283 web: https://research.monash.edu/en/persons/levin-kuhlmann

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Postdoc in computational neuroscience at NYU
by Cristina Savin 02 Dec '22

02 Dec '22

Applications are invited for a postdoctoral scholar position in the Savin and Angelaki group in the Centre for Neural Science at NYU. The position is funded by a new NIH grant, and focuses on elucidating the mechanisms of spatial navigation using multi-area recordings in freely moving monkeys in the context of foraging tasks. Aspects of this problem include determining the mechanisms representing and updating beliefs about location of self and targets, through the lens of interaction between multiple cortical areas. A significant component of the work focuses on developing new statistical data analysis tools for understanding inter-area communication in the context of naturalistic behavior. This is a joint endeavor across the two lab, with weekly joint meetings and regular group interactions. More broadly, the postdoc will be part of a large and intellectually vibrant community of researchers from the Center for Neuroscience and the Centre for Data Science at NYU. The initial appointment is one year with the expectation of extension contingent on satisfactory progress. The successful applicant will have a degree in computational neuroscience or machine learning, excellent coding skills (python) and a track record of successful research. Prior experience in neural data analysis, probabilistic machine learning, or open software development are particularly appreciated. Prior experience in neuroscience is welcome, but not strictly required. Finally, since this is a highly interdisciplinary and collaborative project, good communication skills are important. Please submit your application to csavin(a)nyu.edu <mailto:csavin@nyu.edu>, including - CV - a statement of research interests - contact details of three people that are familiar with your work We will be evaluating the applications on a rolling basis, starting from Dec 15, 2022, until the position is filled. Cristina Savin Assist.Prof. Neural Science and Data Science New York University

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Fwd: Postdoctoral position in neural coding, UKE, Hamburg (Germany)
by Stefano Panzeri 02 Dec '22

02 Dec '22

I am seeking candidates for a fully funded postdoctoral position in computational neuroscience at the University Medical Center Hamburg-Eppendorf (UKE). The successful candidate will conduct research in my computational laboratory (Department of Excellence for Neural Information Processing) at UKE ( https://www.uke.de/english/departments-institutes/institutes/department-of-…) in collaboration with my lab’s experimental collaborators, including prominently Prof. Christopher Harvey at Harvard Medical School, Prof. Tommaso Fellin at IIT Italy, and Prof. Mriganka Sur at MIT. We will investigate, by developing and using advanced data analysis methods and biophysically plausible neural network models, how populations of neurons (and of glia) in the brain encode information and use it to produce appropriate behaviors. We are particularly interested in discovering how correlations between neurons shape the encoding and transmission of information across areas of the cerebral cortex, and in understanding the theoretical principles of how to combine measures and perturbations of neural activity to probe causally the contributions of interactions between neurons to brain function. Our laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, ambitious and well-funded research environment (including receiving funding from the NIH Brain Initiative, Simons Foundation, the European Union). This gives successful candidates ample opportunities for advanced training and personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The job is available starting immediately and applications will be considered as soon as they are received and until the position is filled. Funding is available for several years and a minimum commitment of two years is expected by interested candidates. Interested applicants are strongly encouraged to email me (s.panzeri(a)uke.de or stefano.panzeri(a)gmail.com) as soon as possible, to inform me of the interest for the position and initiate a discussion about research projects. I suggest interested candidates to attach a CV when inquiring by email. For recent publications from my lab relevant to this project, see: Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. *Nature Reviews Neuroscience* 23: 551-567 Koren V., Panzeri S (2022) Biologically plausible solutions for spiking networks with efficient coding. *NeurIPS 2022,* in press, arXiv:2210.07069 Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocites. *PLoS Biology* 20(3): e3001530. Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, 24, 975–986 Chong, E. et al (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. *Science* 368, 1329. Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, *Nature*: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Pica, G. et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems (NeurIPS 2017)* Thanks Stefano Panzeri

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Post-doc and graduate positions in DeAngelis lab, with Moreno-Bote and Drugowitsch Labs
by Ruben Moreno Bote 02 Dec '22

02 Dec '22

Postdoctoral and PhD positions in systems neuroscience, DeAngelis Lab, University of Rochester, in collaboration with Moreno-Bote and Drugowitsch Labs. A postdoctoral position and a graduate student assistantship in Systems Neuroscience are available at the University of Rochester, in the laboratory of Dr. Greg DeAngelis. The positions are part of a recently funded NIH project on the neural mechanisms of visually-guided navigation in virtual reality. The project is a collaboration with the laboratories of Dr. Ruben Moreno-Bote (UPF, Barcelona) and Dr. Jan Drugowitsch (Harvard Medical School, Boston). A 1-month visit to Barcelona every year is expected to foster the collaborative aspects of the project. The project involves psychophysics and large-scale electrophysiology in non-human primates, combined with computational approaches. The goal is to elucidate neural mechanisms for the visual-motor control of steering. Successful candidates will join a highly dynamic and collaborative group at the Center for Visual Science (https://www.cvs.rochester.edu) with strong theoretical/computational collaborations with the laboratories of Moreno-Bote and Drugowitsch, and expected extended visits to their labs. Previous work from our group has made fundamental contributions to our understanding of the neural basis of motion perception, depth perception, multisensory integration, self-motion perception, and perceptual decision-making ( https://pubmed.ncbi.nlm.nih.gov/?term=deangelis_gc&sort=date&size=100) Candidates are expected to have a background in neuroscience, experimental psychology, biomedical engineering, or a related field. Previous research experience in systems neuroscience is desirable, although it is not necessary. Candidates should submit their CV, a brief statement of research interests, and the names and contact information for three references to gdeangelis(a)ur.rochester.edu. -- Rubén Moreno Bote Serra Húnter Professor Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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PhD modelling brain learning
by O'Donnell, Cian 02 Dec '22

02 Dec '22

Our group at Ulster University are looking for a computational neuroscience PhD student for a project on “Discovering the rules of neural learning by computer simulations of brain biophysics and deep neural networks.” You will use multiscale computer simulations of electro-chemical signalling in neurons, synapses, and astrocytes to understand how the physical arrangement of different cell types affects brain learning. You can then use more abstract deep neural network models to study the circuit functions of these mechanisms for learning and memory. More details including reading material here: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1455716. The project will involve collaboration with Tom Bartol at the Salk Institute, La Jolla, California. You will join our research group which uses computational tools to do research on synaptic plasticity, learning and memory, autism, and neural data analysis methods: https://odonnellgroup.github.io. You will also be a member of the CNET team in the Intelligent Systems Research Centre (http://isrc.ulster.ac.uk) a community of researchers working across computational and cognitive neuroscience, neurotechnology, neuromorphic engineering, machine learning, robotics and related fields. We are based in the Derry campus of Ulster University. Derry a lively city of ~100K people on the River Foyle in Northern Ireland, UK. It has a highly affordable cost of living, thriving cultural scene, and access to spectacular coastal scenery and the great outdoors in Donegal and the north coast of Northern Ireland. To be eligible for funding, UK-based applicants should have or expect to obtain an upper second or first-class undergraduate or masters degree. International applicants should have a masters degree. Application deadline is 27th February 2023, for a Sept 2023 start. Application info here: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1455716. Please contact Cian (c.odonnell2(a)ulster.ac.uk<mailto:c.odonnell2@ulster.ac.uk>) if you are interested or have questions. -- Cian O’Donnell Lecturer in Data Analytics School of Computing, Engineering and Intelligent Systems Ulster University https://odonnellgroup.github.io This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Kempner Institute Fellowships at Harvard University
by Cengiz Pehlevan 01 Dec '22

01 Dec '22

The Kempner Institute at Harvard University is soliciting applications for the Kempner Institute Fellowships. We seek candidates with demonstrated ability and creativity who study one or more of the following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, computational neurobiology, and the neurobiological basis of intelligence. Applications of artificial intelligence, including natural language processing, visual scene processing and analysis, and to the mechanistic analysis of high dimensional neural and behavioral data. The study of these applications can either be from an engineering standpoint (e.g. development of new methodologies or advancing the state of the art) as well as from a scientific one (e.g. achieving a better understanding of deep learning). The Fellowship is intended for early stage scientists and will provide them with opportunities for intellectual growth in a highly interdisciplinary and collaborative environment. The fellows will independently set their research agenda but are strongly encouraged to work between fields and collaborate with preeminent experts at the Kempner Institute and at Harvard, more generally. Fellows will be appointed for a term of up to 3 years, with an annual salary of $100,000 and up to $10,000 per year of research support. Fellows will have access to shared office space, world-class computational resources and engineering support. They will benefit from a wide and deeply-engaged community of scientists, as well as access to the breadth of resources and facilities available to members of Harvard University. See https://academicpositions.harvard.edu/postings/11860 <https://academicpositions.harvard.edu/postings/11860> for more information. For other postdoctoral opportunities at Harvard for researchers in ML/AI, please see this webpage https://mlfoundations.org/#opportunities <https://urldefense.proofpoint.com/v2/url?u=https-3A__mlfoundations.org_-23o…>

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CFP: FLAIRS-36, Neural Networks and Data Mining Special Track, Clearwater Beach, Fl, May 14-17, 2023
by David B 30 Nov '22

30 Nov '22

FLAIRS-36 Clearwater Beach, Florida, USA, May 14-17, 2023 Neural Networks and Data Mining Special Track Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notifications: March 13, 2023 Camera ready version due: April 10, 2023 The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Graph modeling, pattern discovery, and anomaly detection. 5. Feature extraction and selection. 6. Post-processing techniques such as visualization, summarization, or trending. 7. Preprocessing and data reduction. 8. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or tool suites, such as TensorFlow, PyTorch, Mahout, or Apache Spark, are also encouraged. Submission Guidelines Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines ( https://www.flairs-36.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. Conference Proceedings Papers will be refereed and all accepted papers will appear in the conference proceedings. Program committee: Track Co-Chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Program Committee Members: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (Verizon Business Solutions, USA) Sergei Dolenko (D.V.Skobeltsyn Inst of Nuc Phys, M.V.Lomonosov Moscow St Univ) Yoni Fridman (Verizon Business Solutions, USA) Olac Fuentes (University of Texas at El Paso, USA) Hyoil Han (Marshall University, USA) Sheikh Rabiul Islam (University of Hartford, USA) Mike James (iProgrammer, United Kingdom) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Prabin Lamichhane (Mastercard, USA) Lenin Mookiah (eBay, USA) Ramesh Paudel (George Washington University, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Further Information Questions regarding the Data Mining Special Track should be addressed to the track co-chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Invited Speakers To be announced Conference Web Sites Paper submission site: https://www.flairs-36.info/submissions FLAIRS-36 conference web page: https://www.flairs-36.info/ Florida AI Research Society (FLAIRS): https://www.flairs.com

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New book on Neurorobotics
by Jeffrey L Krichmar 29 Nov '22

29 Nov '22

Dear Colleagues, Our book on Neurorobotics is now published. Please pick up a copy :) Happy reading! Jeff ----------- Neurorobotics: Connecting the Brain, Body, And Environment, The MIT Press. Authors: Tiffany J. Hwu and Jeffrey L. Krichmar Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots—autonomous systems modeled after some aspect of the brain—offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science. Neurorobotics covers the background and foundations of the field, with information on early neurorobots, relevant principles of neuroscience, learning rules and mechanisms, and reinforcement learning and prediction; neurorobot design principles grounded in neuroscience and principles of neuroscience research; and examples of neurorobots for navigation, developmental robotics, and social robots, presented with the cognitive science and neuroscience background that inspired them. A supplementary website offers videos, robot simulations, and links to software repositories with neurorobot examples. Tiffany J. Hwu is a research scientist working on projects in autonomous agents and human-machine communication. Jeffrey L. Krichmar is a Professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine, where he teaches courses in artificial intelligence, cognitive robotics, and computational neuroscience. https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-… --------- Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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