Embodied AI & Robotics Fellow: MARA & Planning

Basis Research Institute; New York (NY); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Basis Research Institute invites applications for a Postdoctoral Fellowship focused on robotics, abstraction, and reasoning within the MARA project. The role centers on building foundational AI technologies and coordinating with Princeton's Robot Planning and Learning group to advance embodied AI research.

As a fellow, you will lead and contribute to research across modeling, abstraction, and reasoning, with opportunities for mentorship, collaboration, and knowledge transfer between Basis and

Qualifications

• PhD required in robotics, computer science, AI, machine learning, cognitive science, or related fields.
• Strong background in program synthesis, reinforcement learning, robotics, automated planning, probabilistic programming, ML, AI reasoning systems, or cognitive modeling.

Responsibilities

• Conduct independent and collaborative research focused on the RoboMARA project.
• Develop new methods and algorithms for modeling, abstraction, and reasoning in physically embodied AI systems.
• Disseminate research findings through academic publications and presentations at leading conferences.
• Actively engage in knowledge transfer within Basis and Princeton University, converting research into actionable insights and algorithms.
• Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects.

Skills

Program synthesis

Reinforcement learning

Robotics

Automated planning

Probabilistic programming

Education

PhD in robotics, computer science, AI, ML, cognitive science, or related fields

Job description

Basis Research Institute invites applications for a Postdoctoral Fellowship focused on robotics, abstraction, and reasoning within the MARA project. The role centers on building foundational AI technologies and coordinating with Princeton's Robot Planning and Learning group to advance embodied AI research.

As a fellow, you will lead and contribute to research across modeling, abstraction, and reasoning, with opportunities for mentorship, collaboration, and knowledge transfer between Basis and