The Adel Research Group (ARG) at Princeton University is seeking full-time Postdoctoral Research Associates to join their interdisciplinary team focused on Construction Robotics. This position offers a unique opportunity to engage in advanced research at the intersection of design, computation, and robotics, under the supervision of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty in the Department of Computer Science. The research group’s interests span robot learning, human-robot interaction, generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. The successful candidate will conduct research, disseminate results, collaborate on robotically fabricated structures, assist with lab and project management, and contribute to grant proposal development. Required qualifications include a doctoral degree in a relevant field (such as Architecture, Civil Engineering, or Robotics), a strong research and publication record, excellent scientific writing and communication skills, experience with Robot Operating System (ROS), and strong programming skills (Python required, C# and C++ desired). Fluency in English is mandatory. Additional desired skills include experience with sensing technologies, computer vision, perception, foundational knowledge of machine learning, development of custom tools and end effectors for robotic assembly, proficiency with Rhinoceros 3D and Grasshopper 3D, and real-world experience in architecture or construction. The position offers a competitive salary ($65,000 - $75,000), health insurance, and benefits, with appointments for one year and the possibility of renewal based on performance and funding. The work location is in-person at Princeton University, and the position is subject to the university’s background check policy. Applications are accepted online and should include a cover letter, CV, three publication samples, a portfolio (if applicable), and contact information for three references. Applications are reviewed on a rolling basis until the position is filled. For questions, applicants may contact Dr. Arash Adel at [email protected]. Princeton University is an Equal Opportunity Employer committed to diversity and inclusion.

The Adel Research Group (ARG) at Princeton University is seeking full-time Postdoctoral Research Associates to join their interdisciplinary team focused on Generative AI in construction robotics and human-robot collaboration. Under the supervision of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty in Computer Science, successful candidates will engage in advanced research at the intersection of design, computation, and robotics. ARG’s research spans robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. The position offers a unique opportunity to contribute to cutting-edge projects involving Generative AI, Large Language Models (LLMs), Vision-Language Models (VLMs), and the development of custom tools and end effectors for robotics research. Responsibilities include conducting and disseminating research, collaborating on interdisciplinary projects, assisting with lab and project management, and contributing to grant proposal development. Applicants must have a doctoral degree in a relevant field (Computer Science, Robotics, Civil Engineering, Architecture), a strong publication record, excellent scientific writing and communication skills, and expertise in Generative AI and programming (Python required; C# and C++ desired). Desired skills include experience with ROS, sensing technologies, computer vision, perception, and human-robot collaboration. The position is in-person at Princeton University, with access to state-of-the-art research facilities. The appointment is for one year, renewable based on performance and funding. The salary range is $65,000 - $75,000, with health insurance and benefits included. Princeton University is an Equal Opportunity Employer. Applications are accepted online and reviewed on a rolling basis until the position is filled. For questions, contact Dr. Arash Adel at the provided email address.