October 2023 - Comp-neuro - lists.cnsorg.org

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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