Research Assistant - College of Engineering - Department of Mechanical Engineering

Carnegie Mellon University • Pittsburgh, PA

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About The Position

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 Assistant to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. This position will contribute to a research project focused on efficient and optimal robotics. You will design and implement novel methods for robot policy learning with high sample efficiency and optimality guarantees and validate the performance on robotics systems and other tasks assigned to you

Requirements

• Master’s degree preferred in Robotics or related field.
• Solid knowledge of probability and statistics, linear algebra, and dynamical systems
• Programming expertise in Python or Julia (required), C++ desirable
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
• Successful background check

Responsibilities

• Create algorithmic solutions for sample-efficient robot policy learning
• Validate and polish solutions in simulation
• Collaborate with team members on the technical implementation and experimental validation of the tools.
• Document research, development, and experimental results through written reports and presentations.
• Other duties as assigned.

Benefits

• Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions.
• Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
• Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level