Connectionists: Postdoc in New York in computational neuroscience

[Ruben Coen-Cagli]

**Apologies for cross posting



Postdoc in New York in computational neuroscience


The Laboratory for Computational Neuroscience<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fsite%2Frubencoencagli&data=02%7C01%7Cruben.coen-cagli%40einsteinmed.org%7C8729c30da48d4aef7eaf08d794ab80a0%7C9c01f0fd65e040c089a82dfd51e62025%7C0%7C0%7C637141336622460368&sdata=8A0zeNvF2wQYvW7BMKZlpe0Udiwl%2FFe7Jtd3wDPmS1U%3D&reserved=0> (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 (AECOM) in New York City.



We are looking for a highly creative and motivated individual to work on a NIH funded project<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprojectreporter.nih.gov%2Fproject_info_description.cfm%3Faid%3D9916219%26icde%3D47557275&data=02%7C01%7Cruben.coen-cagli%40einsteinmed.org%7C8729c30da48d4aef7eaf08d794ab80a0%7C9c01f0fd65e040c089a82dfd51e62025%7C0%7C0%7C637141336622470363&sdata=bt7o26ghOH2i7fDpIXTT52hzL3NjsKnYmzRRU6WXOE0%3D&reserved=0> that addresses perceptual grouping and segmentation, using visual psychophysics in human participants and machine learning algorithms for segmentation. The project is a collaboration with the laboratory of Pascal Mamassian<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Flsp.dec.ens.fr%2Fen%2Fmember%2F647%2Fpascal-mamassian&data=02%7C01%7Cruben.coen-cagli%40einsteinmed.org%7C8729c30da48d4aef7eaf08d794ab80a0%7C9c01f0fd65e040c089a82dfd51e62025%7C0%7C0%7C637141336622480353&sdata=JmJAKd1qzqiHy22bXLWN6F8JlxzAb3LEb8hKsTCFKgw%3D&reserved=0> at Ecole Normale Superieure, Paris, and the fellow will have the opportunity for substantial interactions with and travel to the Mamassian lab.



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 biological and neural systems. The ideal candidate has substantial prior experience in either computer vision or visual psychophysics; a strong background in computational neuroscience; and advanced analytical and programming skills.

Our lab studies how biological sensory systems interpret the surrounding environment. Topics include probabilistic representations of natural images, models of selectivity and variability in large cortical populations, perceptual uncertainty. We combine theories of probabilistic neural coding, computer vision and machine learning, psychophysics, and neurophysiology through collaborations. Close interaction and collaboration with other members of the lab and the department is anticipated.



AECOM offers a vibrant interdisciplinary environment, with a growing systems and computational contingent. It is located in a quiet neighborhood of New York, only a short subway ride from Manhattan.  Information about working at the AECOM, including benefits and housing for postdocs, can be found at: https://einsteinmed.org/research/belfer-institute/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Feinsteinmed.org%2Fresearch%2Fbelfer-institute%2F&data=02%7C01%7Cruben.coen-cagli%40einsteinmed.org%7C8729c30da48d4aef7eaf08d794ab80a0%7C9c01f0fd65e040c089a82dfd51e62025%7C0%7C0%7C637141336622480353&sdata=HmsccwX%2F3M2L5h%2FMv%2BcmOE5L1EsoQJBW96zVngTtkaM%3D&reserved=0>



The position starts in spring/summer 2020, 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.



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



Albert Einstein College of Medicine is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans.

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