Postdoctoral Research Fellow - New York, United States - Columbia University
Description
The NSF AI Institute for Artificial and Natural Intelligence (ARNI) seeks highly qualified candidates for Postdoctoral Research Fellow positions, starting in Winter or Spring 2024.
ARNI is about cross-disciplinary collaboration between AI researchers and neuroscientists aiming to advance both fields.
Research areas and approaches include:
Robust and flexible learning
Continual learning
Reasoning about causality and uncertainty
The neural mechanisms of intelligence
Language and vision
For a more detailed description of ARNI's scientific agenda and participating researchers, see
Fellows will be based at Columbia University in the City of New York, and will be able to collaborate with any of the numerous ARNI researchers at Columbia, and at Baylor College of Medicine, CUNY, Princeton, UPenn, Tuskegee, Carnegie Mellon, Rice, Yale, Harvard, HHMI/Janelia, and Mila (McGill).
Fellows will be supported in selecting and carrying out their own interdisciplinary projects, and may be tasked with carrying out state-of-the-art research, along with at least two Institute faculty. Fellows will also contribute to the academic life and reputation of the institute by steering and leading ARNI's scientific activities such as seminars and workshops. Successful applicants will collaborate with researchers across all disciplines.
Term: The initial term of the fellowship is one year, with opportunity for renewal for a second year pending performance and ongoing availability of funds.
Salary and Benefits: The position provides a salary between $80,000 and $90,000 annually, as well as a competitive benefits package. Funding for travel and other research needs is also provided.
Process: Applications will be reviewed on a rolling basis.
Candidates must have a PhD in Computer Science, Neuroscience, Statistics, or a related field (conferred by the time of their start date), with a focus on at least one of ARNI's five research areas. We encourage applications from candidates with diverse backgrounds, experiences, and identities.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.