TEAM

Required qualifications:

Doctoral degree in a related field, such as Robotics, Computer Science, Mechanical/Aerospace Engineering, Civil/Construction Engineering, Architecture, or related disciplines

Excellent track record of research and publications related to the job description

Strong scientific writing and communication skills

Excellent programming skills (Python required; C++ preferred; C#/Unity a plus if you work in simulation or digital-twin environments)

Fluency in English

Desired qualifications:

Experience with Robot Operating System (ROS) (ROS 2 preferred)

Experience with sensing technologies, computer vision, and perception

Demonstrated experience with machine learning for robotics (e.g., training/evaluating policies in PyTorch/JAX; imitation learning, reinforcement learning, or diffusion-based policy learning)

Experience with Generative AI, specifically Large Language Models (LLMs), Vision Language Models (VLMs), and/or Vision-Language-Action Models (VLAs) as applied to robotics (e.g., grounding, tool use, policy learning, or multimodal reasoning)

Experience developing custom tools and end effectors for robotic assembly and advanced manufacturing

Experience with robotics simulation and evaluation (e.g., MuJoCo, Isaac Sim/Gym, PyBullet) and/or motion planning frameworks (e.g., MoveIt/OMPL)

Evidence of strong software engineering practices (version control, testing, documentation, reproducibility) and, ideally, open-source contributions)

What We Offer

We offer a competitive package (salary, health insurance, and benefits). You will join a world-class academic environment and an inclusive, interdisciplinary, highly collaborative research laboratory, with access to Princeton University’s state-of-the-art research facilities for construction robotics and advanced manufacturing.

Application Instruction

Applicants must apply online via the application portal and submit a cover letter, CV, three publication samples (conference and/or journal papers), portfolio (if applicable), and contact information for three references. We will review applications on a rolling basis, and the application portal will stay open until the positions are filled. For full consideration, please submit your application as soon as possible. These positions are subject to the University's background check policy.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

If you have questions regarding the positions, please contact Professor Arash Adel (arash.adel@princeton.edu). We look forward to receiving your application.

Application Instruction

For more information regarding the Ph.D. in Architecture program and admission, visit: Ph.D. Program Admission and Computation and Energy Ph.D. Track.

The application deadline is December 30, 2026, 11:59 p.m. ET, and should be submitted through Princeton University's Online Application Portal.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Interested applicants are encouraged to contact Professor Arash Adel (arash.adel@princeton.edu) for further information. We look forward to receiving your application.