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Towards a standard organization for animal electrophysiology: a new BIDS Extension Proposal
by Sylvain Takerkart 11 Mar '21

11 Mar '21

(apologies for cross-postings) Dear everyone, With this email, we would like to introduce a new BIDS Extension Proposal (BEP) dedicated to electrophysiological data recorded in animals (BIDS-animal-ephys). The BEP document is available here <https://docs.google.com/document/d/1oG-C8T-dWPqfVzL2W8HO3elWK8NIh2cOCPssRGv…> and we are now seeking feedback (e.g comments directly in the document, or posts in our discussion forum <https://github.com/INCF/neuroscience-data-structure/issues>) from the community at large to make sure this suits the largestpossible array ofneeds in animal electrophysiology. A bit of context and history. BIDS <https://bids.neuroimaging.io/> is a simple and intuitive way to organize and describe neuroscientific data in a standardized manner, originally developed for human neuroimaging data (see the first paper on MRI-BIDS <https://doi.org/10.1038%2Fsdata.2016.44>), and widely extended since its original introduction to other data modalities (see e.g EEG-BIDS <https://doi.org/10.1038/s41597-019-0104-8>, or MEG-BIDS <https://doi.org/10.1038/sdata.2018.110>). A good number of exchanges have already taken place with electrophysiologists, with initial debates on whether adapting the hierarchical organization offered (and imposed) by BIDS (for other data modalities and recorded in human subjects) could suit the needs of the community of researchers working with animal models. Of course, it will change the habits of some, but a consensus has emerged that sticking to what BIDS suggests could suit the needs of a vast majority and that the long term benefits of such a standardization could be worth changing some habits. These observations have led to the formalization of this BIDS-animal-ephys Extension Proposal (BEP). For info, this BEP has been drafted by members of the INCF Working Group on Standardized Data Structures <https://incf.org/sig/incf-working-group-standardized-data>, that was initiated in 2020 to attempt standardizing the handling of neuroscientific data recorded in animal models. Note that at the present time (early 2021), the discussions in this Working Group are split to tackle two different issues: - How to handle animal data in a generic manner (i.e across data modalities, for both in vitro and in vivo data etc.)? The specific discussion about this topic is centralized here <https://github.com/INCF/neuroscience-data-structure/issues/9>. - How to handle electrophysiological data recorded in animals, and how to standardize the associated metadata? This is the main objective of the present BEP. Please consider joining this working group if you would like to contribute to this effort (either directly on these topics, or for other questions / data modalities). You can also reach the moderators of the present BEP through our main discussion forum <https://github.com/INCF/neuroscience-data-structure/issues>. Also, please do not hesitate to forward this message around you so that we reach as many electrophysiologists as possible! Thanks in advance for your feedback and contributions! -- Sylvain Takerkart Institut des Neurosciences de la Timone (INT) UMR 7289 CNRS-AMU Marseille, France tél: +33 (0)4 91 324 007 http://www.int.univ-amu.fr/_TAKERKART-Sylvain_?lang=en

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2 PhD positions in Sensory Neurotechnology in the Reichenbach lab
by Tobias Reichenbach 10 Mar '21

10 Mar '21

2 PhD positions in Sensory Neurotechnology in the Reichenbach lab, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany The newly founded Chair for Sensory Neuroengineering, headed by Tobias Reichenbach, at the new Department Artificial Intelligence in Biomedical Engineering is looking for two PhD students. In close collaboration with clinical and industrial partners, the lab researches on the neural foundations of hearing, as well as on new technology for better treatments of hearing impairment. The PhD students will develop and apply AI methods to analyse neurological data on human speech processing. They will also develop AI methods to construct audiovisual speech signals for better speech comprehension. FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for Siemens. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. More information is available here: https://www.jobs.fau.de/jobs/2-phd-studentships-in-sensory-neurotechnology-… <https://www.jobs.fau.de/jobs/2-phd-studentships-in-sensory-neurotechnology-…> ------------------------------------------- Prof. Dr. Tobias Reichenbach Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nuremberg Henkestrasse 91 91052 Erlangen http://www.bg.ic.ac.uk/research/reichenbach/

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Postdoc position in Theoretical/Computational Neuroscience at Washington University in St. Louis
by Tavoni, Gaia 09 Mar '21

09 Mar '21

POSTDOC POSITION IN THE TAVONI LAB Applications for a postdoc position at the interface between physics and neuroscience are open at the newly set up Theoretical and Computational Neuroscience lab at Washington University in St. Louis. The selected candidate will work on one or more computational problems, involving models of plasticity and learning, memory and decision-making. A brief description of the projects can be found at http://neurosci.wustl.edu/People/Faculty/Gaia-Tavoni. <http://neurosci.wustl.edu/People/Faculty/Gaia-Tavoni>The underlying research theme in the lab is the search for optimal principles of information representation and processing in the brain that underpin the flexibility of animal behavior. A range of approaches are used, including methods from statistical physics, information theory and dynamical systems. Washington University in St. Louis is ranked in the top 10 globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for neuroscience research. This includes a strong interest in computational neuroscience (see https://sites.wustl.edu/compneuro) The lab is based at the Medical School in the Department of Neuroscience and the Institute for Informatics, and expects to develop strong links with the Departments of Engineering, Physics and Mathematics. Job Requirements: Candidates with backgrounds in physics, mathematics, engineering or computer science, good programming skills, familiarity with neuroscience topics or a keen interest in computational neuroscience, proficiency in English, intellectual curiosity and drive are welcome to apply. How to Apply: For further information and applications please contact Dr Gaia Tavoni (gaia.tavoni(a)wustl.edu) including a detailed CV, a brief statement of research experience and interests (max 2 pages), names and email addresses of 2 references. Please indicate "Post-doc application" as the subject of your email. Applications will be reviewed on a rolling basis until position is filled. Gaia Tavoni Assistant Professor Department of Neuroscience Washington University School of Medicine East McDonnell Medical Sciences, 312B St. Louis, MO 63110 email: gaia.tavoni(a)wustl.edu

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Postdoc (3 yrs) in dynamical reconfigurations of neural populations during movement
by Mark Humphries 09 Mar '21

09 Mar '21

A 3 year postdoc post is available in the lab of Prof Mark Humphries, at the University of Nottingham (UK) In this project, our aim is to test the overarching hypothesis that movement transitions are encoded by the same neural population reconfiguring its joint activity, for both rhythmic and discrete movements. We will tackle this question by developing new computational algorithms for dynamic systems, and applying them to newly-available population recordings during rhythmic movement transitions in Aplysia and discrete arm movement transitions in monkeys, The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes information about and actions in the world. For more see: https://www.humphries-lab.org Queries: mark.humphries(a)nottingham.ac.uk Deadline: 10th January 2020 Full details, and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI182819X1 Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Online Bernstein Conference 2021 - Call for Satellite Workshop Proposals
by a.dorrn＠fz-juelich.de 09 Mar '21

09 Mar '21

The Bernstein Network Computational Neuroscience<https://bit.ly/BN_welcome> invites proposals for Satellite Workshops at the online Bernstein Conference 2021 ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. Due to the ongoing pandemic the Bernstein Conference<https://bit.ly/BC21_online> will be held online, from Sep 21 – 23, 2021. ____ IM IMPORTANT DATES - Satellite Workshops: September 21, 2021, 2 pm – 10 pm CEST - Main Conference: September 22 – 23, 2021 - Deadline for Satellite Workshop proposal submission: May 10, 2021 - Notification of workshop acceptance: planned in June 2021 ____ WORKSHOP PROPOSALS Satellite Workshops of the Bernstein Conference provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a series of talks. The Workshop Selection Committee will take scientific excellence, topical relevance gender diversity and variety of career levels into account as their selection criteria. Workshop proposals are welcome as flexible formats of 4-8 hours (all workshops will start at 2 pm CEST, but will end based on individual schedules) Workshop Proposal Forms can be downloaded here: http://bit.ly/BC21_workshops Please submit the completed form to bernstein.conference(a)fz-juelich.de Deadline: May 10, 2021 – not to be extended Workshop organizers and all speakers will receive a waiver for the online conference. ____ WORKSHOP SELECTION COMMITTEE Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) Matthew Botvinick Megan Carey Peter Dayan Brent Doiron Rainer Friedrich Julijana Gjiorgjieva (Program Chair) Ann Hermundstad Christian Machens (Program Vice Chair) Srdjan Ostojic Nathalie Rochefort Nicole Rust Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Juelich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 email: a.dorrn(a)fz-juelich.de<mailto:a.dorrn@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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CfP: Special Issue on Probabilistic Inference in Goal-Directed Human and Animal Decision-Making - Entropy by MDPI. *Deadline is approaching*
by Domenico Maisto 08 Mar '21

08 Mar '21

Dear Colleagues, You are cordially invited to submit a manuscript to the Entropy Special Issue "Probabilistic Inference in Goal-Directed Human and Animal Decision-Making" https://www.mdpi.com/journal/entropy/special_issues/probabilistic_inference\ The firm deadline for manuscript submissions is 21 March 2021. Please find further information below. With best regards, Domenico Maisto ================================================================ Open Access Journal ENTROPY by MDPI Special Issue on Probabilistic Inference in Goal-Directed Human and Animal Decision-Making ----------------------------------------------------------------------------------------------------------------- This Special Issue aims to focus on recent advances in probabilistic inference in goal-directed human and animal decision making, and we welcome submissions that: - Shed light on the computations of neuronal circuits involved in goal-directed decision making, with a focus on the inferential mechanisms involved; - Propose novel probabilistic models and methods in decision making including (but not limited to) information-theory approaches, statistical and free- energy minimization, hierarchical models, and deep networks; - Introduce decision-making applications in ethological, social, psychological, psychiatric, robotics, and computer science research. Guest Editors Dr Francesco Donnarumma Dr Domenico Maisto Dr Ivilin Stoianov Entropy is an Open Access Journal by MDPI with high visibility (indexed within Scopus, SCIE (Web of Science), MathSciNet, Inspec, PubMed, PMC, and many other databases), excellent citescore (IF: 2.494; 2019 Scopus data: 3.7, which equals rank 8/62 (Q1) in 'Mathematical Physics', 14/54 (Q2) in 'Physics and Astronomy', 210/670 (Q2) in 'Electrical and Electronic Engineering', and 104/300 (Q2) in 'Information Systems'), and rapid publication. -- Domenico Maisto, PhD Institute for High-Performance Computing and Networking (ICAR), Italian National Research Council (CNR) Via Pietro Castellino 111, 80131, Napoli Italy Phone: +39 0644595208 (Rome), +39 0816139507 (Naples) Fax: +39 0644595243 (Rome), +39 0816139531 (Naples) e-mail: domenico.maisto(a)icar.cnr.it

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Teaching-focused job opportunity at UCL
by Andre Altmann 08 Mar '21

08 Mar '21

Hi everyone: We are looking for a postdoc who is interested in teaching and curriculum design to help us run a new training program primarily aimed at UK researchers who want to gain more confidence in working with medical image data in their research. The program will consist of a series of various short courses, online and in-person, that combine image analysis, software development, and data management. The post holder will be responsible for day-to-day leadership of the curriculum design, as well as the content development and delivery. The job advert, description and how to apply can be found at the link below: https://bit.ly/ucl-ideas-job If people have any questions or want to find out more, they can send them to healthbioscienceideas(a)ucl.ac.uk Kind regards, Andre

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postdoctoral position: computational cognitive science of economic behavior
by Michael Woodford 06 Mar '21

06 Mar '21

The Cognitive and Behavioral Economics Initiative at Columbia University invites applications for a Postdoctoral Research Associate position in the fields of Behavioral Economics, Neuroeconomics, or Computational Cognitive Science to begin July 1, 2021 or after (start date negotiable). Columbia University's Cognitive and Behavioral Economics Initiative is looking for a Postdoctoral Research Associate to join a team under the direction of Prof. Michael Woodford, that studies the cognitive foundations of economic decision making, using behavioral experiments and computational modeling. The program is especially interested in research that explores parallels between the cognitive mechanisms involved in perceptual judgments and in economic decisions. Projects may involve the perception of probability, value or risk; learning to forecast or categorize; the role of imprecise perception or memory in learning the values of actions; endogenous allocation of attention; sources of randomness in decisions; or context effects in choice behavior. Representative recent publications by our group include: Polania et al., Nature Neuroscience, 2019; Kobayashi et al., Nature Human Behavior, 2019; Heng et al., eLife, 2020; Woodford, Ann. Rev. Econ., 2020; Prat-Carrabin and Woodford, bioRXiv, 2020; Aridor et al., bioRXiv, 2020; and Khaw et al., Rev. Econ. Studies, forthcoming. *Minimum Qualifications:* a PhD in economics, psychology, computational neuroscience, computer science, or related field. A strong background in computational modeling is essential; prior experience running behavioral experiments is desirable. Familiarity with models of efficient coding and approximate Bayesian inference will be particularly useful. Columbia is an equal-opportunity employer, and we welcome applications from women or groups that have been under-represented in science. *To apply, please send a 1-2 page statement of research interests, a CV, copies of (or links to) one or two representative publications or preprints, and contact information for at least two references **to * *iserp-hiring(a)columbia.edu* <iserp-hiring(a)columbia.edu>*. Applications will be accepted until March 31, 2021, or until the position is filled.* Michael Woodford Columbia University

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Researcher (Joint Position with NYU CNS), Center for Computational Neuroscience
by Serena Fuccillo 05 Mar '21

05 Mar '21

Researcher (Joint Position with NYU CNS), Center for Computational Neuroscience The Center for Neural Science (https://www.cns.nyu.edu/) at New York University (NYU), jointly with the Center for Computational Neuroscience (CCN) at the Flatiron Institute of the Simons Foundation, invites applications for an open rank joint position, with a preference for junior or mid-career candidates. We seek exceptional candidates that use computational frameworks and methods to develop concepts, models, and tools for understanding brain function. Areas of interest include sensory representation and perception, memory, decision-making, adaptation and learning, and motor control. During the academic year 2021-2022, the position will initially be a full-time position at NYU. Beginning academic year 2022-2023, the position will become a joint appointment between NYU and CCN, with the appointee spending half time in each location (both in lower Manhattan). The NYU position is a tenure-line faculty position at the Assistant, Associate, or full Professor level depending on the candidate’s background and experience. The holder of an Assistant level appointment will be considered for promotion to a tenured Associate professorship according to NYU's standard policies and procedures. The corresponding position at CCN may be Associate or Full Research Scientist, or Group Leader, again depending on candidate experience. The initial appointment is for three years, and is renewable, subject to satisfactory progress in research. A Ph.D. in a relevant field, such as neuroscience, engineering, physics or applied mathematics, is required. The responsibilities for this joint position include but are not limited to: establishing a research program with a significant computational component; participating in the international neuroscience research community; teaching at the undergraduate and graduate levels at NYU; contributing to the scientific culture and activities at the Flatiron Institute by collaborating with other researchers, hiring and supervising junior researchers, and assisting with the organization of CCN-related conferences, workshops, group seminars and summer programs. Review of applications will begin 28 March 2021. Important: in order to be considered for this joint appointment, candidates must submit their application in two places: To NYU at: https://apply.interfolio.com/83845 To CCN at: https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareer… Application materials should include a brief cover letter, a statement describing current and planned research and teaching activities, a curriculum vitae including a list of publications, and names and contact information for three references. Because diversity and inclusion are an important part of the NYU mission, candidates should include a paragraph in their cover letter indicating how diversity and inclusion figure into their past, present, and future teaching, research, and community engagement. (Additional information can be found here: http://as.nyu.edu/departments/facultydiversity/recruitment/diversity-statem… ). All applications will be reviewed by a joint committee consisting of members from CNS and CCN. MINIMUM QUALIFICATIONS Education A successful candidate will have a Ph.D. in neuroscience, physics, engineering, applied mathematics or a related discipline. One or more years of postdoctoral research experience is desirable. Experience - Demonstrated abilities in establishing a neuroscience-related research program, embracing the opportunities offered by a joint position between NYU CNS and CCN. The research program must include a significant computational component. - A record of excellence in scientific publication. - Ability to teach effectively at both the undergraduate and the graduate level. - Strong oral and written communication skills, supporting collaboration and cooperation across traditional disciplinary boundaries. - Knowledge of software development and dissemination, either for scientific simulation, model fitting, experimental design, or analysis of modern high-throughput experimental data acquisition, is desirable. About NYU More information about NYU Center for Neural Science can be found at https://as.nyu.edu/content/nyu-as/as/departments/cns.html. The Faculty of Arts and Science at NYU is at the heart of a leading research university that spans the globe. We seek scholars of the highest caliber, who embody the diversity of the United States as well as the global society in which we live. We strongly encourage applications from women, racial and ethnic minorities, and other individuals who are under-represented in the profession, across color, creed, race, ethnic and national origin, physical ability, gender and sexual identity, or any other legally protected basis. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the FAS commitment to diversity, equality and inclusion, please read here. ( http://as.nyu.edu/content/nyu-as/as/administrative-resources/office/dean/di… <http://as.nyu.edu/administrative-resources/office/dean/diversity-initiative…>). EOE/Affirmative Action/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity. About the Flatiron Institute The Flatiron Institute (https://www.simonsfoundation.org/flatiron) is a major, new internal scientific unit of the Simons Foundation. It consists of five Centers – Astrophysics, Quantum Physics, Mathematics, Biology, and Neuroscience) each focused on the computational aspects of a particular area of basic science. It aims to generate original scientific discoveries, along with new computational infrastructure supporting and enabling such discoveries by the community at large. The newly formed Center for Computational Neuroscience aims to develop models, principles and conceptual frameworks that deepen our knowledge of brain function — both in health and in disease. CCN takes a “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. Simons Foundation Diversity Commitment Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law. Warm Regards, *Serena Fuccillo* Coordinator, Center Administration Center for Computational Neuroscience *FLATIRON INSTITUTE* 162 Fifth Avenue, 3rd Floor New York, NY 10010

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Postdoc in machine learning at EPFL (Lausanne, Switzerland)
by Milekovic Tomislav 05 Mar '21

05 Mar '21

Postdoc position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) Machine learning techniques to develop and enhance clinical treatments based on electrical stimulation of the spinal cord Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded postdoc position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. Postdoc salaries at EPFL rank the highest in the world. Opportunity: The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL’s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Description: Therapies based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury, and alleviate gait deficits of people with Parkinson’s disease. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae to increase the activation of the spinal motor pools that, in turn, move the muscles. Yet, the efficacy of the EES-based therapies relies on synchronizing users’ movement intentions with the spatiotemporal stimulation protocols that reliably and accurately generate paralyzed movements. Due to the large state space of all the stimulation parameters (location, amplitude, frequency, etc.) efficacy of the therapy depends on the fast and accurate initialization of the stimulation protocols. As the patients use the stimulation, small movements of the array, as well as changes in spine position due to users’ posture can reduce the usability of the stimulation. Stimulation efficacy can be enhanced by dynamically adjusting the stimulation protocols to changes to the way how to users’ spinal cord reacts to stimulation. Finally, the functional use of the stimulation largely depends on the accurate timing of stimulation delivery. Machine learning approaches that infer users’ intentions based on behavioral, physiological or neural recordings can vastly improve the synchronization between intended and therapy-supported movements and, therefore, play a critical role in achieving functional recovery of patients. While the current medical devices mostly support block-based stimulation protocols that remain constant for hundreds of milliseconds, upcoming devices will enable changes of stimulation at a millisecond resolution, thus opening a new field for machine learning approaches that exploit these capabilities. The successful candidate will work to develop, implement and apply machine learning algorithms and approaches to enhance EES-based therapies. Specifically, he will: * Design the mapping procedures for the generation of transfer functions that relate the continuously-controlled stimulation to the evoked muscle activity. * Develop algorithms that automatically adjust these transfer functions as the interaction between patients and their EES-based therapy evolves. * Implement machine learning techniques that utilize users’ behavioral, physiological and neural signals to continuously synchronize the delivery of stimulation with the users’ movement intentions. * Lead the team that develops machine learning methods to initialize and adjust block-based EES protocols. * Assist and oversee the development and implementation of machine learning methods that use inference of discrete motor events to synchronize block-based EES protocols with the users’ intentions. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge machine learning concepts within medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. The successful candidate will have access to these animal platforms and will work within the framework of multiple NeuroRestore clinical trials with people with spinal cord injury and Parkinson’s disease. They will benefit from the possibility of validating their concepts in animal experiments and implementing them within the therapies being tested in the clinical trials. Prerequisites: · Doctoral degree (PhD) · Proficiency in Python, Matlab and C++ · Strong background in quantitative data analysis · Experience with applying multiple machine learning techniques to behavioral, physiological, biological and/or neural datasets · Good written and verbal skills in English Contact: Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic(a)epfl.ch<mailto:tomislav.milekovic@epfl.ch>. Informal inquiries are welcome.

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