Post-Doctoral Fellow in Robotic AI, Human-Robot Interaction, and Autonomous Systems Performance Evaluation National Institute of Standards and Technology in United States

George Washington University and the National Institute of Standards and Technology (NIST) are advertising a Post-Doctoral Fellow opportunity focused on robotic AI, human-robot interaction, and the performance evaluation of AI capabilities in autonomous systems.

The role is connected to the NIST Professional Research Experience Program (PREP) and the MSRAS Program at NIST in Gaithersburg, Maryland. The successful candidate will work on measurement science for robotics, including benchmarking deep learning, reinforcement learning, and large language models (LLMs) embedded in robotic systems. The project emphasizes safety, predictability, transparency, and risk awareness for autonomous robots operating near humans.

Research themes include AI capability benchmarking, human intent prediction, behavior classification, state estimation, symbolic spatial relation models, digital twins, physical testbeds, sensor fusion, motion capture, and explainable AI (XAI). The post also highlights algorithmic auditing for automated sorting, ranking, and navigation methods, with the goal of establishing standards for safe human-AI collaboration in production environments.

Applicants should hold a Ph.D. in Computer Science, Modeling & Simulation Engineering, Aerospace Engineering, or a closely related quantitative field. Strong technical skills in Python, C/C++, ROS, PyTorch/TensorFlow, and 3D rendering/CAD are expected, with additional experience in AI planning, path planning, activity/intent recognition, XAI, and human-in-the-loop validation preferred.

This is a research fellowship/postdoctoral opening rather than a scholarship. The post does not mention a deadline or funding amount, but it does provide a direct application link.

Interested candidates should apply via the linked portal and review the application page for any further instructions or required documents.