Postdoctoral Research Scientist
The NSF AI Institute for Artificial and Natural Intelligence (ARNI) seeks highly qualified candidates for Postdoctoral Research Fellowships.
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 Carnegie Mellon University, CUNY, Harvard, HHMI Janelia, MILA, University of Memphis, University of Pennsylvania, Princeton, Stanford, Tuskegee University, Virginia State University, and Yale.
Fellows will be tasked with and supported in carrying out state-of-the-art research, and contributing to the academic life and reputation of the institute. Fellows will also steer and lead ARNI’s scientific activities such as working groups, seminars and workshops. Successful applicants will work with two or more faculty from ARNI, and will collaborate with researchers across all disciplines.
Candidates must have a PhD in Computer Science, Neuroscience, Statistics, or related fields (conferred by the time of their start date), with a focus on at least one of ARNI’s main research areas.
ARNI is about cross-disciplinary collaboration between AI researchers,neuroscientists and cognitive scientists aiming to advance both fields.
Research areas and approaches include:
- Continual Learning
- Frontier Models for Neuroscience
- Biological Learning Rules
- Reasoning about Causality and Uncertainty
- Language and vision
- Neural mechanisms of intelligence
For a more detailed description of ARNI’s scientific agenda and participating researchers, see https://arni-institute.org/.
The initial term of the fellowship is one year, with opportunity for renewal for a second year pending performance and ongoing availability of funds.
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.
Equal Employment Opportunity Statement
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 Columbia University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.
New applications are no longer being accepted!