We are seeking a postdoctoral candidate with excellent computational and mathematical skills and an interest in neurophysiology to drive a joint theoretical neuroscience-statistics-electrophysiology project in New York City.
The position will be central to a multi-disciplinary collaboration between Asohan Amarasingham (City University of New York), Gyorgy Buzsaki (New York University), and Matthew Harrison (Brown University) and will involve the development and application of state-of-the-art statistical, electrophysiological, and optogenetic tools, based on large-scale neuronal population recordings, to the study of neuronal microcircuits in behavior.
Candidates are sought with a Ph.D. in Applied or Pure Mathematics, Statistics, Physics, Computer Science, Computational Neuroscience, or related fields. Ability to work in and lead a team, evidence of initiative, excellent writing and computing skills, and enthusiasm about recent innovations in neurophysiology are essential. The ideal candidate will also have some familiarity experimental and/or theoretical neuroscience. (However, depending on interest, this may be an opportunity for a skilled theorist from another discipline to transition into neuroscience.)
The position is available for 1 year, and is renewable. We will offer a competitive salary, commensurate with experience and skills. In addition to resources at CUNY and NYU (and Brown), New York City offers tremendous mathematical, neuroscientific, and cultural opportunities.
Please send CV, references, and a short description of past research and future research goals to Asohan Amarasingham (email@example.com). Because recruitment is already ongoing, we encourage interested candidates to send a preliminary inquiry immediately.
Department of Mathematics
The City College of New York and The Graduate Center of CUNY
Convent Avenue at 138th Street
New York, NY 10031 USA
Phone (212) 650-5112
Fax (212) 650-6294
Office: North Academic Center 4/112A