Postdoctoral Fellow; PREP

Overview

PREP Research Associate 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.

Exoskeleton, Legged and Humanoid Robots, and Human-Robot Interaction Research

The work will entail:
To support the National Institute of Standards and Technology's effort to develop standard test methods for exoskeletons, legged robots, and human-robot interaction standards.

• Conducting state-of-the-art measurement science research in robotics for manufacturing and other applications.
• Programming of physical and simulated robots using a variety of software.
• Use 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.
• Develop test apparatuses, performance metrics, and data collection tools for evaluating robot capabilities.
• Validate 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 nonlinear 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.

Please upload the following with your application: CV/Resume; 2 professional references;
Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume.

Privacy Act Statement:
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c).

Purpose:

The National Institute for Standards and Technology (NIST) hosts the PREP, which provides laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. Routine Uses: NIST will use the information to review applications and meet programmatic requirements. Disclosure:
Furnishing this information is voluntary. When you submit the form, you consent to NIST's use of the information for the stated purpose. To apply for this position, visit:

Salary Range:
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. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered may vary based on location, skills, experience, internal equity, market conditions, education/training, and other factors.

Total Rewards:
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement.

Equal Opportunity

Employer:

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students and does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability,…