The Laboratory for Computational Neuroscience (Coen-Cagli lab) invites applications for a postdoctoral position in the Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (Einstein) in the Bronx, New York City.

Our lab studies how biological sensory systems interpret the surrounding environment. Our goal is to reveal the strategies and algorithms used by our visual system to parse the complex, dynamic inputs received during natural vision, and to elucidate how populations of visual-cortical neurons represent and transmit visual information to support perceptual experience. We combine theories of probabilistic neural coding, machine learning and natural image statistics, psychophysics, and neurophysiology through collaborations.

Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research, and a keen interest in interdisciplinary approaches to perceptual and neural systems. Prior experience should include areas such as visual psychophysics, computational neuroscience, machine learning, statistics, or computer vision. We are particularly interested in applicants with a genuine interest in integrating computational modeling with the design of psychophysical experiments and quantitative data analysis. This work will take place in the context of a project on perceptual grouping and segmentation, in collaboration with the laboratory of Pascal Mamassian at Ecole Normale Superieure Paris. There will be opportunities for substantial interaction with and travel to the Mamassian lab.

Related publications:
(2023) J. Vacher, C. Launay, P. Mamassian**, R. Coen-Cagli** (preprint arxiv)
(2022) J. Vacher, C. Launay, R. Coen-Cagli. Neural Networks 149:107-123 (preprint arxiv)
(2022) C. Launay, J. Vacher, R. Coen-Cagli. IEEE ICIP 4073-4077.
(2021) D. Herrera, R. Coen-Cagli**, L. Gomez**. Journal of Vision 21(1):1
(2021) D. Festa, A. Aschner, A. Davila, A. Kohn, R. Coen-Cagli. Nature Communications 12:3635 (preprint bioRxiv)
(2020) J. Vacher, A. Davila, A. Kohn, R. Coen-Cagli. NeurIPS 2020 spotlight.

Einstein offers a vibrant interdisciplinary environment, with a strong systems and computational contingent. It is located in a quiet neighborhood of the Bronx, New York. The Bronx is one of the most diverse counties in the United States, the birthplace of hip-hop, and home to a rich cultural and sports scene. Einstein is also a short subway ride from Manhattan. Information about working at the Einstein, including benefits and housing for postdocs, can be found at: https://einsteinmed.edu/research/belfer-institute/.

The position is available immediately, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience, with a minimum starting salary of $65,000/year.

Albert Einstein College of Medicine is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. The lab strives to be an open, inclusive, harassment-free environment. Ruben is an ally of Black In AI and a member of Einstein's Senate Diversity, Equity and Inclusion committee.

Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coen-cagli@einsteinmed.edu. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled.

The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve.

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