Postdoctoral Fellow; PREP

General Description This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas.

Employees in this position will perform technical work that underpins the scientific research of the collaboration.

• Conducting state-of-the-art measurement science research in robotics for manufacturing and other applications.
• Programming physical and simulated robots using a variety of software.
• Using machine learning and other AI techniques to enhance robot capabilities, particularly in the realm of HRI.
• Helping develop standards for autonomous robots, wearable robots, and augmentative robots that seamlessly integrate into human environments.
• Implementing state-of-the-art whole-body controllers and control techniques for humanoid robots and powered exoskeletons.
• Collaborating with interdisciplinary teams to design, simulate, and optimize robotic systems using advanced software tools.
• Publishing results in peer-reviewed journals and/or at conferences.
• Developing test apparatuses, performance metrics, and data collection tools for evaluating robot capabilities.
• Validating the repeatability and reproducibility of the tests for various classes of robotic systems.

• Ph.D. in Mechanical Engineering or closely related field.
• Experience in robotics and automation, system dynamics, linear and non-linear control systems, adaptive control, optimal control, whole-body control, human-robot interaction, powered and passive exoskeletons, legged robots, machine learning, AI applications, reinforcement learning, control tuning and implementation, and motion planning.
• Proficiency in programming languages such as Java, Matlab, Python, C/C++.
• Proficiency in ROS, Latex, and 3D CAD.

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting.

Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: (Use the "Apply for this Job" box below)..

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.