Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in interdisciplinary research centers across the university. Carnegie Mellon University’s department of Mechanical Engineering is searching for a Research Scientist to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by leading the Safe AI Lab's research program on scenario generation, simulation, and digital twins for embodied AI. The role builds digital twins of industrial work cells and assembly processes, generates safety-critical and long-tail scenarios from incident data, standards, and procedural variation, and runs simulation-based evaluation of robot policies in physics simulators NVIDIA Isaac Sim, MuJoCo to produce quantitative safety evidence and sim-to-real validation. The position proposes and leads independent research goals within the scope of the lab's projects, coordinates student team members, and publishes at leading venues.Your core responsibilities will include:Build digital twins of industrial work cells and automated assembly processes from CAD, point clouds, and video, a
