- Comp-neuro - lists.cnsorg.org

Postdoctoral Research Associate Position in Computational Neuroscience (Computational Modelling of Decision Making)
by Wong-Lin, Kongfatt 25 Oct '23

25 Oct '23

Applications are invited for an externally funded Postdoctoral Research Associate position at the Intelligent Systems Research Centre (ISRC) in Ulster University, UK. The successful candidate will develop and apply computational modelling, and theoretical and analytical techniques to understand brain and behavioural data across primate species, and to apply biologically based neural network modelling to elucidate mechanisms underlying perceptual decision-making. The duration of the position is 24 months, from January 2024 till end of 2025. The personnel will be based at the ISRC in Ulster University, working with Prof. KongFatt Wong-Lin and his team, while collaborating closely with international collaborators in the USA and the Republic of Ireland, namely, Prof. Michael Shadlen at Columbia University (USA), Prof. Stephan Bickel at Northwell-Hofstra School of Medicine (USA), Prof. Redmond O'Connell at Trinity College Dublin (Ireland), Prof. Simon Kelly at University College Dublin (Ireland), and Prof. S. Shushruth at University of Pittsburgh (USA). The ISRC is dedicated to developing a bio-inspired computational basis for AI to power future cognitive technologies. This is achieved through understanding how the brain works at multiple levels, from cells to cognition and apply that understanding to create models and technologies that solve complex issues that face people and society. All applicants should hold a degree in in Computational Neuroscience, Computational Biology, Neuroscience, Computing, Engineering, Mathematics, Data Science, Physical Sciences, Biology, or a cognate area. Apply online: https://my.corehr.com/pls/coreportal_ulsp/erq_jobspec_version_4.display_for… Closing date for receipt of completed applications: 8th November, 2023. Job Ref: 023762. For any informal enquiries regarding this position, please contact KongFatt Wong-Lin; email: k.wong-lin(a)ulster.ac.uk ; website: https://www.ulster.ac.uk/staff/k-wong-lin 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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Postdoctoral Fellow Positions at CCN, Flatiron Institute
by Matthew Turner 25 Oct '23

25 Oct '23

*Flatiron Research Fellow (Postdoctoral Fellow), NeuroAI and Geometric Data Analysis* *Description* Applications are invited for Flatiron Research Fellowships (FRF) in the NeuroAI and Geometric Data Analysis Group (SueYeon Chung, PI) at the Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation, whose focus is on understanding computation in the brain and artificial neural networks by: (1) analyzing geometries underlying neural or feature representations, embedding and transferring information, and (2) developing neural network models and learning rules guided by neuroscience. To do this, the group utilizes analytical methods from statistical physics, machine learning theory, and high-dimensional statistics and geometry.The CCN FRF program offers the opportunity for postdoctoral research in areas that have strong synergy with one or more of the existing research groups at CCN or other centers at the Flatiron Institute. In addition to carrying out an independent research program, Flatiron Research Fellows are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. Flatiron Research Fellows may have the opportunity to organize workshops and to mentor graduate and undergraduate students. The mission of CCN is to develop theories, models, and computational methods 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. CCN’s current research groups include computational vision <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Eero Simoncelli <https://www.simonsfoundation.org/people/eero-p-simoncelli/>, PI), neural circuits and algorithms <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Dmitri ‘Mitya’ Chklovskii <https://www.simonsfoundation.org/people/dmitri-mitya-chklovskii/>, PI), neuroAI and geometric data analysis <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (SueYeon Chung <https://www.simonsfoundation.org/people/sueyeon-chung/>, PI), and statistical analysis of neural data <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Alex Williams <https://www.simonsfoundation.org/people/alex-williams/>, PI), and is planning to expand the number of research groups in the near term. Interested candidates should review the CCN public website for specific information on CCN’s research areas. Applicants who are interested in a joint appointment between two CCN research groups should submit the same application to both groups, noting the dual application in their research statement. Please note that Alex William’s statistical analysis of neural data group is not recruiting at CCN in 2023. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRF receive a research budget and have access to the Flatiron Institute’s powerful scientific computing resources. FRF may be eligible for subsidized housing within walking distance of the CCN. Review of applications for positions starting between July and October 2024 will begin in November 2023. For more information about life at the Flatiron Institute, visit https://www.simonsfoundation.org/flatiron/careers. Qualifications *MINIMUM QUALIFICATIONS* Education PhD in computational neuroscience or a relevant technical field such as electrical engineering, machine learning, statistics, physics, or applied math. Related Skills & Other Requirements - Flexible multi-disciplinary mindset; - Strong interest and experience in the scientific study of the brain; - Demonstrated abilities in analysis, software and algorithm development, modeling and/or scientific simulation; - Ability to do original and outstanding research in neuroscience; - Ability to work well independently as well as in a collaborative team environment. Selection Criteria: Applicants must have a PhD in a related field or expect to receive their PhD before the start of the appointment. Applications will be evaluated based on 1) past research accomplishments 2) proposed research program 3) synergy of applicant’s expertise and research proposal topic with existing CCN staff and research programs. *COMPENSATION AND BENEFITS* The full-time annual compensation for this position is $90,000. In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package. Application Instructions - Required Application Materials - Cover letter (optional); - Curriculum Vitae with bibliography; - Research statement of no more than three pages describing past work and proposed research program. Applicants are encouraged to discuss the broad impact of the past and proposed research on computational neuroscience. Applicants who are interested in a joint appointment between two CCN research groups should submit the same application to both groups, noting the dual application in their research statement. - Three (3) letters of recommendation *For more information and to apply, please visit: https://apply.interfolio.com/134616 <https://apply.interfolio.com/134616>* Cordially, MATTHEW B. TURNER any pronouns Senior Manager for Center Administration | Center for Computational Neuroscience Co-Chair, Flatiron Institute Professional Development Committee Co-Chair, Pride@SF Employee Resource Group Flatiron Institute 917.363.1095 mobile mturner(a)flatironinstitute.org 162 Fifth Avenue, New York, NY 10010 simonsfoundation.org/flatiron <https://www.simonsfoundation.org/flatiron/>

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Postdoc positions in Neuro-AI at the University of Oregon
by James Murray 25 Oct '23

25 Oct '23

Postdoc positions are available at the University of Oregon’s NeuroAI Center (ion.uoregon.edu/neuroai<https://urldefense.com/v3/__https://ion.uoregon.edu/neuroai__;!!K-Hz7m0Vt54…>) in the Murray and Mazzucato labs. In our research, we seek to uncover the principles of how the brain performs computations related to sensory perception, decision making, and motor control. While previous experience in computational neuroscience and machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well. Some of the scientific questions that motivate our work are * How do different regions of the brain interact to learn new motor skills? * What are the neural mechanisms underlying optimal performance in complex cognitive tasks? * What are the principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting? * How can neural circuits generate the complex dynamics enabling naturalistic animal behavior? Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and statistical analysis of experimental data. The candidate will have the opportunity to collaborate with a large network of experimental collaborators at University of Oregon and at other institutions with expertise in sensory processing (visual, auditory, and olfactory), motor control, naturalistic behavior, neural engineering, and brain-computer interfaces. The Oregon NeuroAI Center is part of the Institute of Neuroscience at the University of Oregon (ion.uoregon.edu<https://urldefense.com/v3/__http://https.ion.uoregon.edu__;!!K-Hz7m0Vt54!jj…>), a major hub for systems and theoretical neuroscience research. The successful candidate will also join our International Network for Bio-Inspired Computing (in-bic.org<https://urldefense.com/v3/__http://www.in-bic.org__;!!K-Hz7m0Vt54!jjW_DXqAj…>), a worldwide consortium of NeuroAI groups that provides trainees with an extended network for collaboration, including trainee exchanges, workshops, and schools. The University of Oregon is located in Eugene, Oregon, a vibrant college town in the Pacific Northwest with ample cultural offerings and phenomenal access to outdoor recreation. We offer a competitive salary commensurate with the candidate’s experience, and remote work arrangements may be considered. Our Institute strongly advocates for inclusivity in science, and we encourage applications from underrepresented groups. Required Qualifications Successful candidates will have a PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. Applicants should have a strong quantitative background including at least some coding experience. Application The application can be found here: https://academicjobsonline.org/ajo/jobs/26101<https://urldefense.com/v3/__https://academicjobsonline.org/ajo/jobs/26101__…>. Application reviews will start on December 1st and will continue until the position is filled. Inquiries can be sent to James Murray (jmurray9 at uoregon dot edu) or Luca Mazzucato (lmazzuca at uoregon dot edu). Applications should include a CV, two-page statement of research interests, a one-page DEI statement (guidelines<https://urldefense.com/v3/__https://provost.uoregon.edu/sites/provost1.uore…>), and contact information for three letters of reference. -- James M Murray Assistant Professor Depts. of Biology and Mathematics and Institute of Neuroscience University of Oregon murraylab.uoregon.edu<https://urldefense.com/v3/__https://murraylab.uoregon.edu__;!!K-Hz7m0Vt54!j…>

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Postdoctoral position in Computational Neuroscience to study role of sleep in memory and learning
by Bazhenov, Maksim 23 Oct '23

23 Oct '23

The Bazhenov Lab at the University of California, San Diego, is currently seeking to fill a postdoctoral position to study the role of sleep in memory, learning, and forgetting. This exciting project involves close collaboration with experimental labs. The ultimate goal of the work is to advance our understanding of how the human and animal brain learns from experience and how sleep contributes to memory consolidation for recent learning. The successful candidate will be responsible for designing anatomically realistic biophysical brain network models based on experimental data. These models will be instrumental in uncovering network dynamics involved in memory consolidation, reconsolidation and forgetting during sleep, as well as guiding data analysis and generating innovative experimental predictions. Additionally, depending on the candidate's interests and experience, there may be opportunities to participate in other related lab projects. These projects include developing whole human brain model based on Human Connectome Project (HCP) data and mouse brain model based on the Allen Mouse Brain Connectivity Atlas. Other projects involve applying principles learned from neuroscience to artificial intelligence, focusing on areas such as continuous learning, knowledge generalization, and adaptation to novel situations and contexts. An ideal candidate should have a background in computational/theoretical neuroscience and neural modeling. Programming experience with C/C++ is required, and knowledge of Python and PyTorch is a significant plus. The University of California offers excellent benefits, and the salary will be based on research experience. Applicants should send a brief statement of research interests, a CV, and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu<mailto:mbazhenov@ucsd.edu> Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Institute for Neural Computation, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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New doctoral program for Computational Neuroscience at Penn
by Maria Geffen 23 Oct '23

23 Oct '23

The Computational Neuroscience Initiative <https://cni.upenn.edu/> at the University of Pennsylvania is pleased to announce a new program for Interdisciplinary Training in Computational Neuroscience (ITCN) <https://cni.upenn.edu/education> at the doctoral level. The goal of the ITCN is to train a new generation of scientists to make quantitative links between properties of the brain and properties of the mind. ITCN trainees will learn to use computational methodology to interpret experimental results; build predictive models of brain function that inform the design of the experiments; and support an ever-growing list of neuroscience-related applications, from brain-machine interfaces in the clinic to cutting-edge forms of artificial intelligence. The ITCN brings together students and faculty <https://www.cni.upenn.edu/people> from Penn’s PhD programs in Neuroscience <https://www.med.upenn.edu/ngg/> (Biomedical Graduate Studies <https://www.med.upenn.edu/bgs/>, Perelman School of Medicine), Bioengineering <https://be.seas.upenn.edu/doctoral/> (School of Engineering and Applied Sciences), Physics <https://www.physics.upenn.edu/graduate/> (School of Arts and Sciences), and Psychology <https://psychology.sas.upenn.edu/graduate> (School of Arts and Sciences). To join the ITCN, students first apply to one of those “home” PhD programs. Once admitted, students then typically apply to the ITCN before starting classes in their first year. Those selected meet with the ITCN Advisory Committee, both individually and as a group, to develop individualized training plans that meet the goals and requirements of the ITCN and each student’s home program. These plans include coursework, research, and other activities, that aim to build both expertise in computational neuroscience and a sense of community in the ITCN. Details are found here <https://cni.upenn.edu/education>. CNI/ITCN Leadership: Vijay Balasubramanian <http://www.sas.upenn.edu/~vbalasub/public-html/Home.html> Director (Physics): Theoretical and computational neuroscience Maria Geffen <https://hosting.med.upenn.edu/hearing/>, Co-director (Otorhinolaryngology, Neuroscience, Neurology): Neuronal circuits for auditory perception and learning: how our brain makes sense of sounds Joshua Gold <http://www.med.upenn.edu/goldlab/>, Co-director (Neuroscience): Mechanisms of decision-making and learning the primate brain CNI/ITCN Faculty: Michael Arcaro <https://psychology.sas.upenn.edu/people/michael-arcaro> (Psychology): Mammalian vision, development of sensory systems Geoffrey Aguirre <https://cfn.upenn.edu/aguirre/wiki/> (Neurology): Cortical organization for visual perception and recovery of visual function Victor Barranca <http://www.swarthmore.edu/NatSci/vbarran1/index.html> (Mathematics and Statistics, Swarthmore): Mathematical neuroscience and neuronal dynamics Danielle Bassett <http://www.danisbassett.com/> (Bioengineering, CIS, Neurology): Complex Systems, Network Science, Computational Neuroscience, Systems Biology, Dynamical Systems, Soft Materials, Behavioral Network Science Michael Beauchamp <https://www.med.upenn.edu/beauchamplab/> (Neurosurgery): Neural mechanisms for multisensory integration and visual perception in human subjects Vikas Bhandawat <https://drexel.edu/biomed/research-and-design/labs-research-groups/bhandawa…> (Biomedical Engineering, Drexel): How animal behavior emerges from the complex interaction amongst the animal's nervous systems, their muscle-body dynamics and their environment David Brainard <http://color.psych.upenn.edu/brainard/> (Psychology): Human vision, machine vision, and computational modeling of visual processing Johannes Burge <https://psychology.sas.upenn.edu/people/johannes-burge> (Psychology): Computational modeling, perceptual systems, vision Yale Cohen <http://auditoryresearchlaboratory.weebly.com/> (Otorhinolaryngology, Bioengineering, Neuroscience): Understanding the representation of auditory information in the cortex, how auditory information is integrated with cognitive processes, and how auditory and visual information is combined to form unified sensory percepts Long Ding <http://www.med.upenn.edu/dinglab/> (Neuroscience): Electrophysiology; psychophysics; basal ganglia; frontal cortex; perceptual decisions Russell Epstein <http://www.psych.upenn.edu/epsteinlab/> (Psychology): Visual recognition and spatial cognition in humans Marc Fucillo <https://www.med.upenn.edu/fuccillolab/> (Neuroscience): The synaptic and circuit mechanisms of behavioral control Ethan Goldberg <https://goldbergneurolab.com/> (Neurology, CHOP): Ion channel, cellular, and synaptic neurophysiology; Neurogenetics; Neurodevelopmental disorders; Neurobiology of disease Joshua Goldwyn <https://www.swarthmore.edu/joshua-goldwyn> (Mathematics & Statistics, Swarthmore): Auditory neuroscience and the perception of sound Jay Gottfried <https://hosting.med.upenn.edu/gottfriedlab/> (Neurology, Psychology): Using multidisciplinary techniques to elucidate perception, learning, and memory through the lens of the olfactory system Casey Halpern <https://www.med.upenn.edu/apps/faculty/index.php/g275/p2009396/> (Neuroscience): Preclinical studies and developing clinical trials to expand indications for deep brain stimulation and other novel brain surgical therapies Joseph Kable <http://www.psych.upenn.edu/kable_lab/Joes_Homepage/Home.html> (Psychology): Psychological and neural mechanisms of human decision-making Michael Kahana <http://memory.psych.upenn.edu/Main_Page> (Psychology): Human episodic memory for verbal, visual and spatial information Eleni Katifori <http://web.sas.upenn.edu/katifori/> (Physics): Topology, function and development of biological distribution networks, elasticity and mechanics of thin cells, pattern formation Konrad Kording <http://koerding.com/> (Bioengineering, Neuroscience): Data that matters Hualou Liang <http://drexel.edu/biomed/faculty/core/LiangHualou/> (Biomedical Engineering, Drexel): Analysis of complex, high-dimensional neuroscience data Minghong Ma <https://www.med.upenn.edu/apps/faculty/index.php/g309/p42685> (Neuroscience): Neurobiology of the sense of smell Tim Machado <https://lab.timmachado.com/> (Neuroscience): How do motor command pathways interact to generate specific movements? Joel Mainland <http://www.med.upenn.edu/apps/faculty/index.php/g20000342/p8508331> (Monell Center): Developing a predictive model relating molecular structure and olfactory perception Yoichiro Mori <https://www.sas.upenn.edu/~y1mori/> (Mathematics, Biology): Mathematical Biology, Physiology and Biophysics, Applied and Numerical Analysis Philip Nelson <http://www.physics.upenn.edu/~pcn/> (Physics): stochastic modeling; computational neuroscience; multielectrode recording Bijan Pesaran <https://pesaranlab.org/people/bijan-pesaran/> (Neurosurgery, bioengineering): Understanding large-scale circuits in the brain and how to engineer novel brain-based therapies Alexander Proekt <https://www.med.upenn.edu/apps/faculty/index.php/g275/p8841436> (Anesthesiology): Neuronal dynamics and neuronal mechanisms of anesthesia Nicole Rust <http://www.sas.upenn.edu/psych/rust-lab/> (Psychology): The neural correlates of visual memory Anna Schapiro <https://www.schapirolab.org/> (Psychology): Memory, learning, neural network modeling, sleep, consolidation, hippocampal-cortical interactions Marc Schmidt <https://www.bio.upenn.edu/people/marc-schmidt> (Biology): Avian brain dynamics in complex naturalistic social environments; computational neuroethology of courtship interactions in groups of songbirds; social context as a computationally constructed variable Alan Stocker <http://www.sas.upenn.edu/~astocker> (Psychology): Computational perception and cognition Flavia Vitale <https://vitalelab.med.upenn.edu/> (Neurology, Bioengineering, Physical Medicine and Rehabilitation): To study, monitor and treat neurological and neuromuscular disorders such as epilepsy, Parkinson's, nerve injury, and chronic pain Franz Weber <https://www.med.upenn.edu/weberlab/> (Neuroscience): The neural and homeostatic mechanisms controlling REM sleep, and the functional role of this brain state in emotional memories and behaviors ______________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> My zoom room <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> Follow me @geffenlab@mastodon.world <https://mastodon.world/@geffenlab> http://hosting.med.upenn.edu/hearing <http://hosting.med.upenn.edu/hearing> Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

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Post-doctoral position in Systems Neuroscience at Yale
by Anirvan Nandy 23 Oct '23

23 Oct '23

The Nandy lab <https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnandylab.…> and the Jadi lab <https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.jadil…> in the Departments of Neuroscience <https://medicine.yale.edu/neuroscience/> & Psychiatry <https://medicine.yale.edu/psychiatry/> at the Yale School of Medicine have an immediate opening for a Postdoctoral Associate, to investigate the neural mechanisms of perception and attention. Applicants with the following skills are particularly encouraged to apply: (a) research background in cognitive, systems, or computational neuroscience, (b) expertise in electrophysiology in behaving animals, and/or (c) highly quantitative data analytic skills (possibly including computational modeling). The candidate will carry out high-density multi-areal electrophysiological recordings while animals are engaged in attention-demanding visual tasks. The individual will be required to train animals, generate electrophysiological data, and perform advanced statistical data analyses and modeling in a highly collaborative research environment. This is a multi-year fully funded position. The initial appointment will be for a period of 1 year, with scope for multi-year renewal subject to satisfactory progress. Candidates will be reviewed on a rolling basis until the position is filled. Yale provides an outstanding environment for conducting successful and rigorous postdoctoral training toward obtaining an independent research position. The neuroscience community at Yale is highly active and involves interdisciplinary collaborations across multiple academic units including the Departments of Neuroscience, Psychiatry, Psychology, Computer Science, Statistics & Data Science, Molecular, Cellular & Developmental Biology, and more. The Wu Tsai Institute <https://wti.yale.edu/>, Kavli Institute for Neuroscience <https://medicine.yale.edu/kavli/>, and the Swartz Center for Theoretical Neurobiology provide excellent opportunities for training and cross-disciplinary dialog. Yale and our labs are highly committed to promoting diversity among its students, faculty, and staff. Women, persons with disabilities, protected veterans, and individuals from underrepresented minority groups are strongly encouraged to apply. Interested candidates should e-mail their applications to anirvan.nandy(a)yale.edu <mailto:anirvan.nandy@yale.edu>. The application should include (1) a CV; (2) a one-page description of research interests; (3) contact information for 3 referees. -------------------------------------------------------------------------- Anirvan Nandy, PhD Yale Orthwein Scholar for Vision Science Dept. of Neuroscience | Kavli Institute | Wu Tsai Institute Yale University https://nandylab.org <https://nandylab.org/>

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Tenure-track faculty position in Computational Brain Science @Brown
by Michael J Frank 23 Oct '23

23 Oct '23

*Tenure-track Assistant, Associate or Full Professor in Computational Brain Science* Robert J. and Nancy D. Carney Institute for Brain Science Brown University The Robert J. and Nancy D. Carney Institute for Brain Science <https://www.brown.edu/carney/> at Brown University invites applications from rising and established leaders in computational brain science for a tenure-track/tenured position at the Assistant, Associate of Full Professor level. A transformative $100M gift to the Institute is catalyzing the growth and expansion of Carney faculty and research over the next decade, including to further research goals of the Center for Computational Brain Science <https://ccbs.carney.brown.edu/>. As part of this expansion, this search will consider applicants with expertise in computational neuroscience broadly construed and will result in an appointment with a tenure-track home in a Carney Institute-affiliated department (including physics, applied mathematics, computer science, neuroscience, and cognitive, linguistic and psychological sciences). The successful applicant will have an outstanding record of research and teaching that contributes to the mission of the candidate’s appropriate home department and the Carney Institute Center for Computational Brain Science. We are particularly interested in scholars who demonstrate commitment to promoting diversity and inclusion in the brain sciences. The Carney Institute promotes discovery and innovation in brain science by supporting a diverse community of experimentalists, theorists, engineers, and clinicians. With more than 200 affiliated faculty members in more than 20 academic and clinical units, the Carney Institute catalyzes research across the brain sciences, including in the neurobiology of cells and circuits, computational brain science, cognition and behavior, and neuroengineering and neurotechnology. We are a highly interactive community that values collaborative approaches to tackle major questions in brain science to benefit society. Quality of research and scholarship is central to reaching our goals and this depends on engaging talented scientists from across academia and embracing their contributions in a fully inclusive community. The Carney Institute’s strategic vision is aligned with Brown’s commitment to creating a more fully diverse and inclusive community, outlined in “Pathways to Diversity and Inclusion: An Action Plan for Brown University <https://diap.brown.edu/>.” *Qualifications* Applicants must have a Ph.D. at the time of starting work. The start date can be anytime between July 1, 2024, and January 1, 2025. *Application Instructions* All candidates should submit: (1) a teaching statement; (2) a research statement; (3) a diversity and inclusion statement; (4) a curriculum vitae; (5) up to 5 publications; and (6) a cover letter describing their interest in the position (including the general field of research and potential departments of interest); (7) Candidates currently holding tenured faculty positions should provide the names of three referees; these referees will not be contacted without prior authorization from the candidate. Candidates who do not currently hold a tenured faculty position should have at least three letters of reference submitted before the application deadline. Letters of support should speak to the candidate’s potential as a scholar, colleague, mentor and teacher. Inquiries about the position should be directed to carney-institute(a)brown.edu. Consideration of applications will begin on November 13, 2023; we will continue to accept applications until the position is filled. Brown is an equal opportunity/affirmative action employer, and members of underrepresented groups in brain science are strongly encouraged to apply. Apply at http://apply.interfolio.com/132928. *Equal Employment Opportunity Statement* Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status. Michael J Frank, PhD | Edgar L. Marston Professor Director, Carney Center for Computational Brain Science <https://www.brown.edu/carney/ccbs> Laboratory of Neural Computation and Cognition <https://www.lnccbrown.com/> Brown University website <http://ski.clps.brown.edu>

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[Conference] Final CFP (27/10) - IV Latin American Workshop on Computational Neuroscience - Nov 28-30 Envigado, Colombia
by Jaime Andres Riascos Salas 23 Oct '23

23 Oct '23

Sorry for the cross-posting ********************************* CALL FOR PAPERS CFP Final Paper Submission Deadline: October 27th, 2023 IV LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) November 28-30, 2023 Institution University of Envigado, Envigado, Colombia. Online and on-site www.lawcn.co Contact: lawcn_2023(a)iue.edu.co Overview The IV Latin-American Workshop on Computational Neuroscience (LAWCN 2023) provides an international forum to bring students, academic researchers, and professionals from diverse backgrounds to present cutting-edge research on four major topics: Computational Neuroscience, Neuroscience, Neuroengineering, and Artificial Intelligence. Since the first edition, LAWCN has contributed to revealing knowledge about the brain in an enthusiastic atmosphere for sharing ideas, creating networks, and fostering collaboration among Latin countries and the world. The current edition is organized by the research group "Grupo de Investigación Tecnologías Emergentes Sostenibles e Inteligentes GITESI" from the Engineering Faculty of the Institution University of Envigado (IUE), in collaboration with the Colegio Colombiano de Neurociencias (COLNE), the most representative association of neuroscience researchers and students in Colombia. The workshop will take place in the city of Envigado (Antioquia - Colombia) from November 28 to 30, 2023. This is the first LAWCN edition outside of Brazil, expanding its presence to Latin America, seeking to enhance the collaboration network among the countries of our region but keeping the worldwide approach. Envigado is in the Metropolitan Area of the Aburrá Valley, close to Medellín, the second-largest city in Colombia, and the capital of the department of Antioquia. Envigado is known for maintaining the traditions of the Paisa Region and for its architecture. It also has one of the highest standards of living in Colombia. Envigado was recognized recently as one of the UNESCO Global Network of Learning Cities (UNESCO GNLC). In keeping with the tradition of the previous edition of this meeting, the IV LAWCN has four main topics: A- Computational Neuroscience B- Neuroscience C- Neuroengineering D- Artificial intelligence and related topics. See the full list of topics at https://www.lawcn.co/event/submissions.html. Prospective authors are invited to contribute to the conference by electronically submitting papers in English, Portuguese, or Spanish, according to the model found on the event website. Bests Papers will be published as a book volume in Springer-Verlag Communications in Computer and Information Science (CCIS, https://www.springer.com/series/7899; ISSN 1865-0929) series. Also, authors can submit their papers for the Special Issue “Interdisciplinary Approaches for Human Cognition: Expanding Perspectives on the Mind” published by the International Journal in Psychological Research (IJPR; https://revistas.usb.edu.co/index.php/IJPR/index; ISSN 2011-7922); and the Special Issue “Engineering/computational methods applied to Psychology and neuroscience” published by the Ingenierías USBMED journal (https://revistas.usb.edu.co/index.php/IngUSBmed; ISSN 2027-5846). Papers will be evaluated based on the quality and significance of the theoretical and practical contributions. Authors of accepted papers must present their work in the workshop. We have several travel and registration grants thanks to the International Brain Research Organization (IBRO) for international and national authors, prioritizing women and underrepresented regions. See the full information in the next link: https://lawcn.co/event/studentsGrants.html The Workshop will consist mainly of the following activities. • Presentation of up to nine (9) key researchers of international and national renown. • Round table to widely discuss gender diversity in Neuroscience. • Oral presentations of accepted papers by their authors. • Poster session. • Launch of the Brain-Computer Interface LATAM network. • Technical exhibitors. Conference chairs • Jaime A. Riascos, Institution University of Envigado (IUE), Colombia • Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Organization • Dante Barone Federal University Rio Grande do Sul (UFRGS), Brazil • Vinicius Cota Federal University São João do Rei (UFSJ), Brazil • Marta Molinas NTNU, Norway • Edwin Moncada Institution University of Envigado, Colombia • Jonier Rendón Institution University of Envigado, Colombia • Efraín Buriticá Universidad del Valle – COLNE, Colombia • Pablo Reyes Pontificia Universidad Javeriana - Colne • Hernán Villota Institution University of Envigado, Colombia • Daniel Betancourt Institution University of Envigado, Colombia • Catalina Alvarado Pontificia Universidad Javeriana, Colombia • Fernando Marmolejo-Ramos University of South Australia, Australia • Paula Herrera Universidad Tecnológica de Pereira, Colombia Keynote Speakers • Prof. PhD. Norberto García Caraisco (USP, Brazil) • Prof. PhD. Salvador Dura-Bernal (SUNY, USA) • Prof. PhD. Jose Luis Contreras-Vidal (NSF IUCRC BRAIN Center, USA) • Prof. PhD. Fabien Lotte (INRIA, France) • Prof. PhD. Marta Molinas (NTNU, Noruega) • Prof. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) • Prof. PhD. Paula Herrera (Universidad Tecnológica de Pereira, Colombia) • Prof. PhD. Alexandre Surget(iBraiN Inserm University of Tours, France) • Prof. PhD. Marangelie Criado-Marrero (University of Florida, USA) Roundtable Women in Neuroscience: • Prof. PhD. Lina Becerra, Colegio Colombiano Neurociencias (COLNE), Pontificia Universidad Javeriana, Universidad del Valle, Colombia • Prof. PhD. Yadira Ibargüen-Vargas, University of Orleans, France • Prof. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) • Prof. PhD. Marta Molinas (NTNU, Noruega) • Prof. PhD. Paula Herrera (Universidad Tecnológica de Pereira, Colombia) Important dates (firmly final deadline) Paper submission deadline: October 27th, 2023 Notification of acceptance (paper): November 6th, 2023 Camera-ready (paper): November 15th, 2023, Abstract submission deadline (for poster presentation): October 30, 2023 Notification of acceptance (abstract): November 6th, 2023 Camera-ready (abstract): November 15th, 2023. More Information: www.lawcn.co Best regards, and see you in Envigado, Colombia!!! -- Jaime A. Riascos Salas Assistant professor IUE Chair IV LAWCN https://lawcn.co/

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Faculty position in computational/theoretical neuroscience at UC Berkeley
by Bruno OLSHAUSEN 22 Oct '23

22 Oct '23

The Helen Wills Neuroscience Institute together with the Department of Statistics at UC Berkeley is conducting a faculty search in the area of computational or theoretical neuroscience. This is an ideal opportunity for computational/theoretical neuroscientists who are engaged in both model and theory development and collaborative work with experimentalists. For further information please see the official posting at https://aprecruit.berkeley.edu/JPF04142 Application deadline is November 15. --------------------------------------- Bruno A. Olshausen Helen Wills Neuroscience Institute, and Herbert Wertheim School of Optometry & Vision Science Director, Redwood Center for Theoretical Neuroscience UC Berkeley 575A Evans hall, MC 3198 Berkeley, CA 94720-3198 (510) 642-7250 / 2-7206 (fax) http://redwood.berkeley.edu/bruno

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Call for Visiting Scholars in Theoretical Sciences at OIST (Application by August 15)
by Kenji Doya 21 Oct '23

21 Oct '23

We are pleased to announce Visiting Scholars in Theoretical Sciences at OIST for a flexible term of 1 to 12 months as below. ***** As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. OIST is beautifully situated on the tropical island of Okinawa, Japan. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 1 to 12 months taken continuously starting between October 2021 and March 2022 with a preference for longer-term visitors. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. Successful candidates will be eligible to apply for support with salary, where this is necessary to facilitate the visit. No teaching duties come with the position. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Applicants should submit a CV including a list of publications, a brief description of their research to date and proposed research while visiting OIST, and the desired period of visit. All visits are subject to the availability of funding. Applications received by August 15, 2021, are guaranteed full consideration. If you have any questions, please send inquiries to: tsvp(a)oist.jp To apply, please go to our Interfolio page, http://apply.interfolio.com/88541 ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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PhD/Postdoc Positions in AI/Brain Research at the University of Birmingham
by Jian Liu 21 Oct '23

21 Oct '23

*PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning* The lab of Dr Jian Liu invites applications for several PhD/Postdoc positions at the interface of computational neuroscience and machine learning, at the School of Computer Science University of Birmingham. Research projects will involve theoretical analysis, computational modeling, and data analysis, with worldwide collaborations of neuroscience experimentalists, clinicians, and robotic engineers. We are working on a wide range of topics, from fundamental neuroscience questions, AR/VR in cognition, and brain diseases from molecules to systems, to robotic applications. For representative examples and publications, please visit: http://jiankliu.github.io Candidates with a quantitative background are welcome. We are looking for highly motivated candidates with a spirit of intellectual adventure. The positions will come with competitive work conditions. Generous traveling budgets are available. Please send the following information to the contract point at https://www.birmingham.ac.uk/staff/profiles/computer-science/academic-staff… - Detailed CV with publications; - Letter on motivation and interests; - Other relevant materials of interest; The School of Computer Science at the University of Birmingham is one of the leading UK institutions for research and teaching in computer science. Our research is ranked 3rd across all UK universities according to the latest UK-wide Research Excellence Framework. Education is ranked 7th in the UK for computer science, according to 2023 tables. While pursuing excellence in research and education, we also aim to optimize our positive impact on society—examples include collaborations with industry partners and charities, commercialisation activities and an extensive wider participation programme. The University of Birmingham is committed to providing equal opportunities for all and offers a range of family friendly policies. We are committed to being an inclusive workplace that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. If female candidates are selected, the maternity leave will be fully guaranteed and the children care responsibilities will be satisfied (e.g. working in part time). We will also actively promote gender equality in education and employment opportunities through workshops, seminars, webinars, and university open days.

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Postdoc on Dravet syndrome modeling: Inria (Montpellier, France) and BCAM (Bilbao, Spain)
by desroche 21 Oct '23

21 Oct '23

Dear all, We have funds for a two-year postdoc on Dravet syndrome modeling. This is part of an international collaboration between Inria (Bordeaux, Montpellier, Sophia Antipolis, France) and BCAM - the Basque Center for Applied Mathematics (Bilbao, Spain), involving Fabien Campillo <https://www-sop.inria.fr/members/Fabien.Campillo/index.html>, Pierre Del Moral <https://people.bordeaux.inria.fr/pierre.delmoral/>, Mathieu Desroches <https://www-sop.inria.fr/members/Mathieu.Desroches/> and Serafim Rodrigues <https://www.bcamath.org/en/research/areas/m3a/mcen>. The postdoc will be based at Inria, in Montpellier. The aim of the project is to develop a multiscale model of Dravet syndrome, from ionic channels of interacting neurons to large neural populations. We will use various modeling frameworks, adapted to the scale, from piecewise-deterministic Markov processes to mean-field formalism. The postdoc will perform a mathematical analysis of the models, extensive numerical simulations as well as data analysis using neural recordings from our experimental partners. Regarding profiles that we are seeking, familiarity of the candidate with mathematical modeling in Neuroscience and Markov processes. Ability and willingness to do programming, as well as analyse experimental data, will also be a strong point to select candidates. Please apply online via the following page: https://jobs.inria.fr/public/classic/en/offres/2023-06688 If you have any questions, do not hesitate to contact us directly: Fabien Campillo: fabien.campillo(a)inria.fr <mailto:Fabien.campillo@inria.fr> Mathieu Desroches: mathieu.desroches(a)inria.fr <mailto:mathieu.desroches@inria.fr> Best, Mathieu Desroches. --------------------------------------------------------------------- Dr. Mathieu Desroches Research Director (Directeur de Recherche) MathNeuro <https://team.inria.fr/mathneuro/> Project Team Leader Centre Inria d'Université Côte d'Azur, France https://www-sop.inria.fr/members/Mathieu.Desroches/

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York University seeks to recruit a Computational Neuroscientist at the Assistant or Associate Professor level
by Liya Ma 20 Oct '23

20 Oct '23

I hope this email finds you well. My name is Liya Ma, and I am writing to you as a member of the search committee at the Department of Psychology at York University. We are currently embarking on a search for a highly talented Computational Neuroscientist with a focus on vision-related research, broadly defined. This unique position is part of the prestigious Canada Research Chairs program<https://www.chairs-chaires.gc.ca/program-programme/index-eng.aspx> (CRC) and is also supported by the Vision: Science to Applications (VISTA) program<https://vista.info.yorku.ca/>. We are actively looking for candidates to fill this role at either the Assistant or Associate Professor level, depending on qualifications and experience (within 10 years from their terminal degree). Recognizing the underrepresentation of women and gender minorities among CRCs, this position is open only to qualified researchers who indicate on the Affirmative Action self-identification form that they identify as women or gender non-conforming. If you could kindly help us by distributing this call for applications to any colleagues or contacts you believe may be interested or suitable for this position, we would greatly appreciate your assistance in reaching potential candidates. Please see the ad at: https://www.yorku.ca/vpepc/faculty-affairs/faculty-positions/ https://www.yorku.ca/vpepc/faculty-affairs/wp-content/uploads/sites/698/202… Best regards, Liya Liya Ma, PhD She/Her Assistant Professor, Tier II Canada Research Chair Visual Neurophysiology Centre Dept. of Psychology York University https://www.cogneurophys.org/

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PhD in Data Science at NYU Center for Data Science
by Aimée-Catherine Zambrana 20 Oct '23

20 Oct '23

The CDS PhD program model rigorously trains data scientists of the future who (1) develop methodology and harness statistical tools to find answers to questions that transcend the boundaries of traditional academic disciplines; (2) clearly communicate to extract crisp questions from big, heterogeneous, uncertain data; (3) effectively translate fundamental research insights into data science practice in the sciences, medicine, industry, and government; and (4) are aware of the ethical implications of their work. *Fall 2024 PhD Applications are now open!* *Visit https://cds.nyu.edu/phd-program/ <https://cds.nyu.edu/phd-program/> for more information!* *The Fall 2024 online application <https://gsas.nyu.edu/content/nyu-as/gsas/admissions/arc.html> is now open. The application deadline is Tuesday, December 5, 2023, 5pm ET.* *Don’t miss our upcoming Fall 2024 PhD Admissions Information Session on Thursday, October 26 at 1pm EST! Sign up at the PhD Admissions Open House Zoom Registration Link <https://nyu.zoom.us/webinar/register/WN_U0gnONDjTKC7RiNtHEqWxw#/registration>.* Aimée-Catherine Zambrana Executive Assistant Center for Data Science *New York University* az58(a)nyu.edu 212-998-3099 Follow us at @NYUDataScience <https://twitter.com/NYUDataScience> and facebook.com/nyudatascience <https://www.instagram.com/nyucds/> <http://facebook.com/nyudatascience> <https://www.linkedin.com/school/nyu-center-for-data-science/> <https://twitter.com/NYUDataScience>

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli 20 Oct '23

20 Oct '23

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 (also in the FlatIron Institute) - NeuroAI and geometry. * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * 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. * 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 (also in the FlatIron Institute) - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams (also in the FlatIron Institute) - 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 FlatIron Institute) - Neural computation and connectomics. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * 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. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Marcelo Mattar - Learning and planning in the brain/mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Data Science (deadline: 5 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. * Brenden Lake (also in Psychology) - Computational modeling of cognition, deep learning. * Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind. * Mengye Ren (also in Computer Science) - Brain and cognitively inspired representation learning. Mathematics (deadline: 18 December) [https://gsas.nyu.edu/admissions/arc/programs/mathematics.html] * 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. Physics (deadline: 30 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. ReplyForward

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Open position: Postdoctoral position in Human Psychophysics for understanding vision with/without Neuroimaging, Tuebingen, Germany
by Pavlovic, Maria 19 Oct '23

19 Oct '23

Postdoctoral position in Human Psychophysics for understanding vision with/without Neuroimaging (m/f/d) (TVöD Bund E13, 100%) The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI, TMS, EEG/MEG, and other relevant methodologies. The framework and motivation of the projects can be found at: <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html> https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI, TMS and/or EEG/MEG, methodologies can be used in combination with eye tracking, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Responsibilities: * Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences * Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures * Coordinate with the PI and other team members for strategies and project planning * Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field * Publications in peer-reviewed journals * Highly skilled in techniques of human visual psychophysics such as MATLAB programming for experiments, experimental data taking, data analysis, and paper writing * Familiarity with hardware and techniques in eye tracking, fMRI/MRI, EEG, MEG, TMS, tDCS/tACS, and other related techniques such as in carrying out fMRI experiments is highly desirable * Experience in project management is highly desired * Strong command of English; knowledge of German is a plus Who we are: We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain <https://www.lizhaoping.org/> (www.lizhaoping.org) Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, EEG, electrophysiology and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. Your application: The position is available immediately and will be open until filled. Preference will be given to applications received by Nov. 30, 2023. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application. Please use pdf files for these documents (and you may combine them into a single pdf file) and send to jobs.li(a)tuebingen.mpg.de, where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit <http://www.lizhaoping.org/jobs.html> www.lizhaoping.org/jobs.html _________________________________ Maria Pavlovic Assistant to Prof. Zhaoping Li Office Hours: 07.00-13.00 Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 D-72076 Tuebingen phone +49 7071 601 609 fax +49 7071 601 619 <mailto:maria.pavlovic@tuebingen.mpg.de> maria.pavlovic(a)tuebingen.mpg.de <http://www.lizhaoping.org/> www.lizhaoping.org

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[Job] Assistant Professor of Computational Biology
by Aimée-Catherine Zambrana 18 Oct '23

18 Oct '23

Apply at https://apply.interfolio.com/133938 Description *New York University’s Department of Biology* invites applicants for two tenure track positions ideally beginning on September 1st, 2024, pending budgetary and administrative approval. We are particularly interested in the broad area of Computational Biology, including, but not limited to, AI and ML applications to biology, computation-enhanced imaging, modeling of biological networks, genomic sciences, quantitative ecology and epidemiology. The new hires will be a part of a university-wide initiative in Interdisciplinary and Computational Sciences. The positions will be joint between the Department of Biology and Department of Computer Science in the Courant Institute for Mathematical Sciences, or the Department of Biology and Center for Data Science. The new hires will participate in the research and teaching mission of both the Department of Biology, and of the Department of Computer Science or the Center for Data Science. This search is for the tenure-track, Assistant Professor, position. Candidates are expected to develop and maintain an externally funded research program. The Departments of Biology (http://biology.as.nyu.edu) Computer Science (https://cs.nyu.edu <https://cs.nyu.edu/home/index.html>), and Center for Data Science (https://cds.nyu.edu) offers a collaborative, interactive, interdisciplinary and innovative research environment that supports ambitious research projects across many areas. Application packages should include a cover letter, separate research, teaching and diversity statements, a curriculum vitae and three reference letters. Full details of the required documents and how to apply online are at http://apply.interfolio.com/133938. Please send your completed application by *November 10th 2023*. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $100,000 - $150,000. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. The Faculty of Arts and Science at NYU is at the heart of a leading global research university. We seek scholars of the highest caliber that 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: https://as.nyu.edu/departments/facultydiversity.html *New York University* NYU is an Equal Opportunity / Affirmative Action Employer EOE / AA / Minorities / Females / Veterans / Disabled / Sexual Orientation / Gender Identity Application Instructions *Required application materials:* *1. A one page cover letter* that briefly describes your past and future research areas, and how your planned research program fits with and/or expands current research in the Department. *2. Your CV.* *3. A research statement of up to 3 pages. *The first page should summarize your most significant scientific accomplishments as a PhD student and a postdoc. The remainder should explain your future plan and vision for an independent research program. References may be added on a fourth page. *4. A one page teaching statement* describing your teaching experience and teaching philosophy. *5. A one page diversity and inclusion statement *that describes your past activities, experiences and future plans to advance diversity and inclusion. NYU is committed to building and strengthening a university-wide culture of diversity, inclusion, and equity. Please see: https://as.nyu.edu/departments/facultydiversity/recruitment/diversity-state… *6. The names and email addresses for 3 reference letters. *The letter-writers will be contacted automatically by Interfolio, but it is often a good idea to remind them. Equal Employment Opportunity Statement *For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr <http://www.nyu.edu/it/gdpr>* *NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.* *Sustainability Statement * *NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability <http://nyu.edu/sustainability>*

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[Job] Faculty Position in Data Science and Applied Mathematics
by Aimée-Catherine Zambrana 18 Oct '23

18 Oct '23

Apply at https://apply.interfolio.com/134253 Description The Center for Data Science (CDS) and the Center for Atmosphere Ocean Science (CAOS), a unit of the Department of Mathematics within the Courant Institute of Mathematical Sciences at New York University seeks candidates for one (1) open-rank joint faculty position, anticipated to begin in September 2024. Faculty members are expected to be outstanding scholars and to participate in teaching at all levels from undergraduate to doctoral. We seek to develop our strength at the interface between machine learning and science, leveraging advances in data science. Machine learning has the possibility of transforming our ability to model multi-scale physics, chemistry and biology. We are particularly focused on expanding in the area of data science for physics applications (e.g., fluid dynamics, climate science) and computational applied sciences with machine learning. This search is part of a cluster hire in Predicting Climate Change and its Impacts: From the Global to Urban Scale that includes the departments of Mathematics and Computer Science in the Courant Institute of Mathematical Sciences, Civil and Urban Engineering in the Tandon School of Engineering, and the Center for Data Science. Advances in climate science prediction will require transformative developments in and between mathematics, data science, computer science, physics, engineering and geoscience. More information about this cluster, and NYU's broader Faculty Cluster Hiring Initiative, can be found here <https://cfa.hosting.nyu.edu/recruitment/faculty-cluster-initiative/>, and here <https://cfa.hosting.nyu.edu/recruitment/cluster-proposals/>. A few faculty positions will be advertised as part of this cluster search, with the intention of creating a diverse, inter-disciplinary cohort to devise cutting-edge research and curricular development. The Center for Data Science (CDS) is the focal point for New York University’s university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data. Today, CDS counts 20 jointly appointed interdisciplinary faculty housed on three floors of our magnificent 60 5th Avenue building, one of New York City’s historic properties. It is home to a top-ranked MS in Data Science program, one of the first PhD programs in Data Science, and a new undergraduate program in Data Science, as well as a lively Fellow and Postdoctoral program. It has over 60 associate and affiliate faculty from 25 departments in 9 schools and units. With cross-disciplinary research and innovative educational programs, CDS is shaping the new field of Data Science. The Courant Institute’s Mathematics Department is a world-renowned center for applied mathematics (including math for data science and machine learning), scientific computing, PDEs, analysis, probability, geometry and other fields. Courant is also the home of NYU’s department of Computer Science, which is a leader in machine learning and AI, among other fields. CDS and the Courant Institute (both Math and CS) host vibrant interdisciplinary PhD programs and a number of faculty hold joint appointments at the Center for Data Science and the Courant Institute. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $125,000 - $185,000. Qualifications A PhD in applied math and/or applied physics or a related quantitative field is required. Application Instructions Applications can be submitted through our Interfolio application page. <https://apply.interfolio.com/68757> Please include a cover letter, CV, a short statement of your research and teaching interests, and at least three confidential recommendation letters. We encourage applicants to include a brief statement describing how your research, teaching, and service contributes to diversity and inclusion. Applications and supporting documents received by Friday, December 1, 2023 will receive full consideration. <https://twitter.com/NYUDataScience> Equal Employment Opportunity Statement *For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr <http://www.nyu.edu/it/gdpr>* *NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.* *Sustainability Statement * *NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability <http://nyu.edu/sustainability>*

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[Job] Fall 2024 Clinical Faculty in Data Science
by Aimée-Catherine Zambrana 18 Oct '23

18 Oct '23

Apply at https://apply.interfolio.com/132947 Description The NYU Center for Data Science (CDS) seeks to fill a Clinical Faculty position in Data Science at its Washington Square campus. Description CDS: The Center for Data Science (CDS) is the focal point for New York University’s university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data. Today, CDS counts 20 jointly appointed interdisciplinary faculty housed on three floors of our magnificent 60 5th Avenue building <https://www.google.com/maps/search/60%205th%20Avenue?entry=gmail&source=g>, one of New York City’s historic properties. It is home to a top-ranked MS in Data Science program, one of the first PhD programs in Data Science, and an undergraduate program in Data Science, as well as a lively Fellow and Postdoctoral program. It has over 60 associate and affiliate faculty from 25 departments in 9 schools and units. With cross-disciplinary research and innovative educational programs, CDS is shaping the new field of Data Science. The primary responsibilities will be: - teaching and coordinating three (3) entry- and advanced-level courses for undergraduates- and masters-level students in Data Science during each of the Fall and Spring semesters. Topics of courses might include some subset of: probability and statistics, statistical modeling, causal inference, machine learning, computer vision, artificial intelligence, natural language processing, “big data”, visualization, programming for data science. - training and evaluating teaching assistants - other responsibilities related to the administration of the undergraduate and graduate programs including but not limited to: helping with the administration of admissions to the MSDS, designing and revising curricula when required, advising students on optimal course choices and sequences. These other responsibilities may lead to a reduction in course load. This Clinical Faculty position is not a tenured or tenured-track position. Data Science full-time clinical faculty hold renewable term contracts, initially for one year, and later three to five years in duration. Clinical faculty are eligible for promotion within the Clinical faculty ranks (Assistant, Associate, Full). In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $85,000 - $135,000. Qualifications Applicants must have a strong background in Data Science and a Ph.D. in a related field such as computer science, statistics, quantitative neuroscience, political science, or linguistics and the like as well as experience in and knowledge about undergraduate and graduate teaching, learning, and curricular issues. Application Instructions Please provide in your application: - A cover letter indicating how the position relates to your overall career plans - A complete curriculum vitae - Three confidential letters of recommendation are required, including one that focuses on your teaching. Please follow the prompts in the application. Once you submit your application, an automated email with a link will be generated to your recommenders asking them to upload their confidential letters of recommendation. - A 1-2 page teaching statement - A teaching portfolio. The portfolio may include a list of courses taught, sample teaching materials, evaluations of teaching, certifications, or other supporting documents. - (preferred, but optional) A 15-minute video of your teaching. Upload your video to a public streaming site (such as YouTube or Vimeo) and submit the URL with your application. Applications received through the interfolio application page before April 1, 2024 will be given full consideration. Questions should be directed to Remi Moss at remimoss(a)nyu.edu. Equal Employment Opportunity Statement *For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr <http://www.nyu.edu/it/gdpr>* *NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.* *Sustainability Statement * *NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability <http://nyu.edu/sustainability>*

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[Job] 2024 CDS Faculty Fellow
by Aimée-Catherine Zambrana 18 Oct '23

18 Oct '23

Apply at https://apply.interfolio.com/133513 Description The Center for Data Science (CDS) at New York University (NYU) invites applications for its highly prestigious CDS Faculty Fellow <https://cds.nyu.edu/our-people/research-engineers-fellows-and-postdocs/> positions. Building on the success of the Moore-Sloan Fellows program, CDS has created a Faculty Fellow program to continue to develop outstanding researchers in Data Science. Alumni of the distinguished Moore-Sloan Fellowship program have secured top-level academic positions or industry jobs. For instance, our former Fellows obtained faculty positions here at NYU, the University of Chicago, Johns Hopkins, the University of Michigan, and the University of Amsterdam, to list just the most recent ones. Given the prestigious nature of the position, we offer a generous compensation package which may include NYU faculty housing as well as funds to support research and travel. The Center for Data Science (CDS) is the focal point for New York University’s university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data. Today, CDS counts 20 jointly appointed interdisciplinary faculty housed on three floors of our modern 60 5th Avenue building, one of New York City’s historic properties. It is home to a top-ranked MS in Data Science program, one of the first PhD programs in Data Science, and a new undergraduate program in Data Science, as well as a lively Fellow and Postdoctoral program. It has over 60 associate and affiliate faculty from 25 departments in 9 schools and units. With cross-disciplinary research and innovative educational programs, CDS is shaping the fields of Data Science and Machine Learning. The CDS Faculty Fellow will be expected to work at the boundaries between the data-science methods and domain sciences. They are also encouraged to develop collaborations with faculty at CDS and NYU. They will lead original research projects of their choosing with impact in one or more scientific domains and in one or more methodological domains (computer science, statistics, and applied mathematics). We seek outstanding interdisciplinary researchers with expertise in the methods of data science possibly with application in physical, life, or social science. The program recognizes that rapid advances in our ability to acquire and generate data are transforming all fields of discovery from data-poor to data-rich. A significant bottleneck to discovery is our ability to perform inference over heterogeneous, noisy, and often massive datasets. Successful candidates will bring a research agenda that can take advantage of the unique intellectual opportunities afforded by NYU, and will have experience in working with researchers across different fields. This is a full-time, non-tenure position, with a light teaching load of one (1) CDS course per year as the primary instructor. You will also be expected to participate in service activities of the Center for Data Science (such as helping review admissions applications, committee work, etc.). Appointments will be for two years. Fellows will be offered a competitive salary and benefits, with funds to support research and travel. A start date of September 1, 2024 is planned. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $85,000 - $95,000. Qualifications Applicants must possess a doctorate degree prior to the beginning of the position. Application Instructions Please submit your curriculum vitae, a list of publications, and a brief statement of research interests (no longer than 4 pages) via our Interfolio application page. The statement of research interests should mention the names of one or more faculty members associated with the NYU Center for Data Science who would have substantial intellectual overlap with the applicant’s interests and likely program of research. More information about relevant faculty members can be found at https://cds.nyu.edu/our-people. We encourage applicants to include a brief statement describing how your research, teaching, and service contributes to diversity and inclusion. Please submit your application by November 28, 2023 for full consideration. Any questions may be directed to our Director of Administration and Operations, Remi Moss who can be reached at: remimoss(a)nyu.edu <https://cds.nyu.edu/facultyfellows/remimoss@nyu.edu>. Equal Employment Opportunity Statement *For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr <http://www.nyu.edu/it/gdpr>* *NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.* *Sustainability Statement * *NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability <http://nyu.edu/sustainability>*

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Postdoctoral Position at Stevens in Multiphysics Brain Aging Modeling
by Johannes Weickenmeier 18 Oct '23

18 Oct '23

Hello everyone. A postdoctoral position in “Multiphysics Brain Aging Modeling” is available in the group of Prof. Johannes Weickenmeier at Stevens Institute of Technology right outside New York City (www.weickenmeierlab.com<http://www.weickenmeierlab.com/>). The Soft Matter Biomechanics Lab combines experimental methods to biomechanically characterize brain tissue properties and various computational modeling techniques (e.g. finite element analysis, multiphysics modeling, medical image analysis) with the ultimate goal to better understand healthy brain aging and neurodegenerative diseases. Our constitutive aging and Alzheimer’s disease models couple neurobiology and mechanics (i.e. morphological shape changes and tissue loading) in order to identify abnormal aging patterns and brain regions at risk of developing secondary damage, such as white matter hyperintensities, hypoperfusion, traumatic injury, and vascular degeneration. We validate our models against longitudinal imaging data from databases such as the Alzheimer’s Disease Neuroimaging Initiative (ADNI). We are looking for applications with prior experience in advanced medical image analysis, data analysis, and modeling. Knowledge in the biology of aging is a significant advantage. The research will be performed at the campus of Stevens Institute of Technology right outside of New York. The position is funded through a grant from the NIH. The position is available immediately. To apply, please contact Prof. Johannes Weickenmeier(johannes.weickenmeier(a)stevens.edu). Best wishes, Johannes Weickenmeier _______________________________________ Johannes Weickenmeier, PhD, Assistant Professor and Director of the Center for Neuromechanics Stevens Institute of Technology | Department of Mechanical Engineering | phone: 201-216-5527 | pronouns: he/him/his | Soft Matter Biomechanics: www.weickenmeierlab.com<http://www.weickenmeierlab.com/>

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New seminar in Networks and Applied Algebraic Topology
by Jānis Lazovskis 18 Oct '23

18 Oct '23

Dear colleagues, With great pleasure we announce the launch of the AATRN Networks Seminar. This monthly seminar is an affiliated activity of the Applied Algebraic Topology Research Network (aatrn.net<http://aatrn.net/>), and will be covering applications and theory of how network structure is revealed through topology and algebra. The talks will be held once a month, generally on the first Tuesday of the month, starting 7 November at 5pm CET (11am Eastern) via the Zoom platform. We already have a lineup of exciting speakers, including: Cristian Bodnar (Microsoft) Dani Bassett (University of Pennsylvania) Katie Morrison (University of Northern Colorado) Please visit the seminar web page for the full schedule and speakers: sites.google.com/view/aatrn-networks-seminar<http://sites.google.com/view/aatrn-networks-seminar> Regular reminders (and Zoom coordinates) will be distributed through our mailing list, for which you can register at: groups.google.com/g/aatrn-networks<http://groups.google.com/g/aatrn-networks> The reminders will also be forwarded to the AATRN mailing list, to which you can also register (if you have not already done so) at: groups.google.com/g/aatrn<http://groups.google.com/g/aatrn> As with regular AATRN activities, the talks will also be available through the AATRN YouTube channel: youtube.com/c/AppliedAlgebraicTopologyNetwork<http://www.youtube.com/c/AppliedAlgebraicTopologyNetwork> Please help us spread the word about this new seminar series within your own research network. If you have suggestions for a speaker, please email the seminar at topologyandnetworks(a)gmail.com<mailto:topologyandnetworks@gmail.com>. We apologise if you receive this message multiple times since we are announcing it on various venues. Best wishes from the organisers, Daniela Egas Santander, Jānis Lazovskis, Henri Riihimäki, Jason Smith

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Assistant/Associate Professor of Cognitive Neuroscience: University of Connecticut
by Scott Rich 17 Oct '23

17 Oct '23

Dear Comp-Neuro Listserv, Please find below a job posting of potential interest for a tenure-track faculty position at the University of Connecticut in Cognitive Neuroscience. Please spread the word to anyone who you think might be a good fit for this position. Assistant/Associate Professor of Cognitive Neuroscience College of Liberal Arts & Sciences University of Connecticut The College of Liberal Arts & Sciences at the University of Connecticut in Storrs invites applications for a full-time tenure-track faculty position at the rank of Assistant Professor or Associate Professor in the broad research area of Cognitive Neuroscience. We seek a candidate with demonstrated scholarly interest in cognitive neuroscience with a strong theoretical and technical expertise in MRI and other imaging methodologies. This appointment is a full-time, 9-month, tenure-track positions with an anticipated start date of August 23, 2024. Salary and rank will be commensurate with qualifications and experience. For more details or questions regarding the position please see the complete add at Academic Jobs Online <http://academicjobsonline.org/> (Search # 497911); email Search Committee Chair inge-marie.eigsti(a)uconn.edu <mailto:inge-marie.eigsti@uconn.edu> with any questions.

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Postdoctoral Fellow position in Neuronal Circuits implicated in non-motor symptoms in Parkinson’s disease
by Pablo Jercog 17 Oct '23

17 Oct '23

We are currently looking for a self-driven and enthusiastic postdoctoral fellow to join our team at the Cajal Institute, which is part of the Consejo Superior de Investigaciones Científicas (CSIC) in Spain. Our research is centered around studying the *malfunctioning of neuronal circuits in Parkinson's disease*, with a particular focus on understanding the molecular and circuit disruptions that occur during the development of Parkinsonian symptoms in an animal model developed at the Dr. Rosario Moratalla lab. We are specifically seeking an individual with prior experience in optogenetics, electrophysiology or calcium imaging on freely moving animals. While expertise in neurodegenerative diseases is desirable, it is not mandatory. If you are interested in this position, please take a look at some of our related publications to familiarize yourself with our ongoing research: - Suarez LM, Alberquilla S, García-Montes JR, Moratalla R. Differential synaptic remodeling by dopamine in direct and indirect striatal projection neurons in Pitx3-/- mice, a genetic model of Parkinson´s disease. J Neursci. 2018. 38:3619-3630. doi: 10.1523/JNEUROSCI.3184-17.2018. - Keifman E, Ruiz de Diego I, Pafundo DE, Paz RM, Solís O, Murer MG, Moratalla R. Optostimulation of striatonigral terminals in substantia nigra induces dyskinesia that increases after L-DOPA in a mouse model of Parkinson's disease. Br J Pharmacol. 2019;176:2146-2161. doi: 10.1111/bph.14663 - Suarez LM, Solís O, Sanz-Magro A, Alberquilla S, and Moratalla R. D1 receptor regulates spine density in direct and indirect striatal projection neurons. Mov Disord. 2020 Jul 9. doi: 10.1002/mds.28174. The CSIC encompasses over 130 research centers, including several located in Madrid, such as the renowned Cajal Institute. Within the Cajal Institute, numerous active laboratories focus on functional and systems neurobiology <https://cajal.csic.es/en/functional-and-systems-neurobiology/>. The institute fosters a vibrant scientific community through regular activities such as journal clubs, weekly colloquiums, and classes for its master's program in collaboration with multiple universities. Situated in Madrid, the political capital of Spain, the institute benefits from being in an exhilarating city with a rich historical background. Madrid boasts world-renowned museums such as El Prado, Reina Sofia, and Tyssen, and it serves as a hub for start-ups and technological advancements in the fields of science and engineering. The city's high-quality public health and education systems further enhance its appeal, making Madrid an enticing destination for candidates considering relocation with their families. The position is funded for *2 years* with an extension based on performance. Starting date: ASAP. Interested candidates, please send their CVs to Dr. Rosario Moratalla (moratalla(a)cajal.csic.es) until the position is filled. -- Pablo Jercog, Ph.D. Team Leader Room C-11, Instituto Cajal, CSIC Avda. Doctor Arce, 37 Madrid, Madrid, 28002, Spain cell: +34 620562808 email: pjercog(a)gmail.com Lab webpage <https://sites.google.com/view/pablojercogteam/>

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Learn to use International Brain Lab data at SfN 2023
by Hannah M Bayer 16 Oct '23

16 Oct '23

A Brainwide Map of mouse brain neural activity during decision-making was released by the International Brain Laboratory ( https://internationalbrainlab.org) and we want you to use it to test your own hypotheses! At the Society for Neuroscience meeting this year, we will host a workshop for anyone interested in learning to use the data. During this tutorial we will teach you to search and download datasets, do basic analyses, and give tips for more advanced computation. We will also demonstrate how to upload your analysis results to our visualization website. Bring your laptop to work along with the demonstration. Participation is free, but registration is required. For more information and to register, visit http://internationalbrainlab.org/sfn2023 -- Hannah M. Bayer, PhD (she/her) Executive Director International Brain Laboratory

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