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 Postdoctoral Research Associate to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. In this role, you will lead and participate in research that leverages artificial intelligence and large language models to solve fundamental problems in autonomous driving, robotics, verification and validation, and safety problems related to autonomies. You will develop novel methodologies that advance the state-of-the-art in autonomous vehicle technology while ensuring research outcomes are reproducible, well-documented, and aligned with safety-critical system requirements and such other tasks that are assigned to you. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
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Job Type
Full-time
Education Level
Ph.D. or professional degree