About this role
Job Description The Advanced Robot Manipulators Lab at Stevens Institute of Technology, led by Prof. Long Wang, is seeking a PhD-level Part-Time Research Assistant to lead simulation-driven research on dexterous robotic manipulation and sim-to-real transfer.
The Research Assistant will build high-fidelity manipulation simulations in NVIDIA Isaac Sim / Isaac Lab and transfer the resulting model-based and learning-based policies onto physical robotic hardware. Working alongside faculty, graduate students, and industry partners on Department of Defense–funded research, the Research Assistant will drive the full pipeline from simulation design through hardware validation, close the sim-to-real gap on real manipulators, and contribute to sponsor deliverables.
This position offers a doctoral-level researcher deep, hands-on involvement in state-of-the-art robotics research and direct exposure to industry-academic collaboration.
Responsibilities
• Design, build, and validate high-fidelity robotic manipulation simulations in NVIDIA Isaac Sim / Isaac Lab, including scene construction, contact and physics tuning, and sensor modeling. • Develop, train, and benchmark manipulation policies (model-based control and/or reinforcement and imitation learning) for dexterous hands and manipulators. • Design and execute sim-to-real transfer pipelines, including domain randomization, system identification, and calibration to reduce the sim-to-real gap. • Deploy simulated policies onto physical robot hardware, quantify sim-to-real performance gaps, and iterate on both simulation and hardware. • Integrate perception, tactile/force sensing, and control stacks so that they behave consistently across simulation and hardware. • Maintain reproducible codebases, data-acquisition workflows, and technical documentation. • Contribute to design reviews, technical reports, and progress updates for sponsor deliverables, and help mentor junior graduate and undergraduate students. • Collaborate with faculty, PhD students, and external industry and university partners on shared research goals. Required Qualifications
• PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a closely related field (earned, or with degree requirements substantially complete). • Demonstrated research experience in robotic manipulation, reinforcement/imitation learning, or model-based control. • Hands-on experience with physics-based robot simulation, especially NVIDIA Isaac Sim / Isaac Lab (MuJoCo, PyBullet, or comparable also considered). • Proficiency in Python, with familiarity in PyTorch or a comparable machine-learning framework. • Experience with sim-to-real transfer techniques such as domain randomization, system identification, or calibration. • Experience deploying and validating algorithms on physical robot hardware. • Strong record of research output (e.g., peer-reviewed publications) and clear written and verbal communication. Preferred Skills
• Experience with ROS / ROS 2 and real-time robot control. • Familiarity with dexterous robotic hands (e.g., LEAP hand variants) and tactile, force/torque, or vision-based sensing. • GPU-accelerated, large-scale parallel simulation and training (Isaac Lab / Orbit). • USD / OpenUSD asset authoring for simulation environments. • Experience mentoring students and leading collaborative research efforts.
Department Mechanical Engineering Operations

Compensation Range In compliance with the New Jersey Wage Transparency Act, the hourly base range for this position is $22 – $28. This range represents the University’s good faith estimate of possible compensation at the time of posting. Stevens Institute of Technology determines compensation based on factors including the position’s scope and responsibilities, the candidate’s experience, education, skills, internal equity, market data, and organizational considerations. The final salary will be set considering departmental budget, qualifications, and relevant credentials. This pay range represents base pay only and excludes additional forms of compensation, such as incentives, stipends, or other applicable pay components. For a full overview of our benefits offerings, please refer to the Stevens Institute of Technology Benefits Guidebook, available at:Benefits Guidebook 

General Submission Guidelines:
Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job.
Still Have Questions?
If you have any questions regarding your application, please contact Jobs@Stevens.edu.
EEO Statement:
Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status.
Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes. Stevens seeks candidates who will contribute to a welcoming and inclusive environment for all students, faculty and staff.
Jeanne Clery Disclosure:
In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click here for a copy of this report.