Postdoctoral Research Associate (Construction Robotics)
- Princeton University
- Princeton, New Jersey
- Full Time
Postdoctoral Research Associate (Construction Robotics) Description: OverviewAdel Research Group (ARG) at Princeton University invites applicants for full-time Postdoctoral Research Associate(s) position(s) to join our team. These full-time positions offer a unique opportunity to engage in cutting-edge interdisciplinary research focused on Construction Robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding.About UsARG is an interdisciplinary laboratory for advanced research at the intersection of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design.Job DescriptionWe seek to hire outstanding Postdoctoral Research Associates with a strong interest in interdisciplinary research on Construction Robotics (and Timber Assembly). Your responsibilities will include conducting research, disseminating research results, collaborating on robotically fabricated structures, and assisting with managing the lab and projects. We also expect that you will collaborate with the ARG team on developing grant proposals.QualificationsRequired qualifications:Doctoral degree in a related field, such as Architecture, Civil Engineering, Robotics, etc.Excellent track record of research and publications related to the job descriptionStrong scientific writing and communication skillsExperience with Robot Operating System (ROS)Excellent programming skills (Python is required, C# and C++ is desired)Fluency in EnglishDesired qualifications:Experience with sensing technologies, computer vision, and perceptionFoundational knowledge of machine learningExperience developing custom tools and end effectors for robotic assemblyGood knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommonReal-world architecture and/or construction experienceWhat We OfferWe offer a competitive package (salary, health insurance, and benefits). You will be joining a world-class academic environment and an inclusive interdisciplinary research laboratory, and will have access to Princeton University's state-of-the-art research facilities for construction robotics.Application InstructionApplicants 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 position is filled. For full consideration, please submit your application as soon as possible.The work location for this position is in-person on campus at Princeton University. This position is subject to Princeton University's background check policy. Princeton University is an Equal Opportunity 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 Dr. Arash Adel ( ... ). We look forward to receiving your application.Online Application Portal Expected Salary Range: $65,000 - $75,000 The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-25-ARC-00002 PI273802156
Job ID: 486139478
Originally Posted on: 7/20/2025
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