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Princeton University, Princeton, NJ, USA

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"Research Associate (Computational Design and Robotic Construction)"

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Research Associate (Computational Design and Robotic Construction)

Overview

Adel Research Group (ARG) at Princeton University invites applicants for full-time Research Associate positions to join our team. Candidates will work with Dr. Arash Adel (Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science) and other members of ARG on interdisciplinary research and design projects, exhibitions, publications, and full-scale robotically fabricated structures. The desired start date is Spring 2025. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding.

About Us

ARG 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, additive manufacturing, extended reality (XR), and computational design.

Job Description

We seek to hire outstanding Research Associates with strong interests in Computational Design and Robotic Construction at the rank of Associate Professional Specialist. Your responsibilities will include collaborating on research projects; assisting with developing diagrams, simulations, documentations, and publications; collaborating on the design and construction of exhibitions and full-scale structures; and assisting with administrative tasks.

Qualifications

Required qualification:
At least a Master's degree in Architecture, and/or related fields (e.g., Master of Science, etc.)
Experience with research and publications related to the job description
Strong background in Computational Design
Excellent programming skills (primarily Python, but C# and C++ also desired)
Good knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommon
Good knowledge of the Adobe Creative Suite (Photoshop, InDesign, Illustrator, etc.)
Strong communication skills and fluency in English

Desired qualifications:
Experience developing custom tools and end effectors for robotics research
Experience with operating industrial robotic arms
Experience with Robot Operating System (ROS)
Experience with sensing technologies, computer vision, and perception
Real-world architecture and/or construction experience
Experience with exhibition design and implementation

What We Offer

We 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 Instruction

Applicants must apply online via the application portal at https://www.princeton.edu/acad-positions/position/37483 and submit a cover letter, CV, at least one publication sample (a conference or journal paper), portfolio, 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.

This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University.

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 position, please contact professor Arash Adel (arash.adel@princeton.edu). We look forward to receiving your application.

Expected Salary Range

$61,008 - $67,000

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.

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