About this role
The Postdoctoral Fellow, MARA & Robotics role at basis-research is based in the New York Office and Princeton, NJ, and suits a scientific researcher with a PhD looking to advance foundational AI and robotics technologies. This collaborative fellowship joins the Basis Research Institute and the Princeton Robot Planning and Learning group to drive the MARA project.
Role Overview
The Postdoctoral Fellow, MARA & Robotics position is an in-person research appointment shared between New York City and Princeton, New Jersey. The fellow acts as a primary contributor and leader of robotics initiatives for the Modeling, Abstraction, and Reasoning Agent project. The position requires four days a week in the office alongside attendance at multi-day organization-wide events.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Basis Research Institute is a nonprofit applied artificial intelligence research organization with dual objectives to establish mathematical principles of intelligence and software implementation, and to expand society's capacity to solve intractable problems. The organization builds technological foundations inspired by human reasoning and maintains a collaborative workplace that prioritizes human values. The fellowship itself is a partnership between Basis and the Princeton Robot Planning and Learning group directed by Tom Silver.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the fellowship located?
The position is based primarily in the New York Office and also involves time at Princeton University in New Jersey, with an in-person office requirement of four days a week.
What is the salary for this position?
The salary is $100K.
What qualifications are required for applicants?
Applicants must hold a PhD in computer science, robotics, artificial intelligence, machine learning, cognitive science, or a related field, alongside a background in areas like automated planning, reinforcement learning, or AI reasoning systems, and a demonstrated research track record.
Is experience working with physical robots mandatory?
No, experience with real robots is preferred but not required.
Who leads the Princeton group involved in this collaboration?
The Princeton Robot Planning and Learning group is led by Tom Silver, an assistant professor in Princeton University's Department of Electrical and Computer Engineering.