Research Assistant - College Of Engineering - Department Of Mechanical Engineering

Research Assistant Position At Carnegie Mellon University

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. You will contribute to research focused on ensuring the safety and reliability of robotic systems. In this role, you will design and implement a safety monitoring system for robotic platforms, utilizing advanced algorithmic tools to validate and enhance the performance of learned robotic policies and such other tasks that are assigned to you.

Core Responsibilities:

• Develop and implement algorithmic solutions for the safety monitoring of learned robotic policies.
• Create and maintain interfaces to characterize desired behaviors during the learning process.
• Design and implement interfaces for detecting undesired behaviors during the robot's deployment.
• Design and execute experiments to validate the effectiveness of the developed safety monitoring approach.
• Collaborate with team members on the technical implementation and experimental validation of the monitoring tools.
• Document research, development, and experimental results through written reports and presentations.

Qualifications:

• Master's degree in mechanical engineering, Computer Science or Applied Mathematics preferred.
• Extensive knowledge of probability and statistics, linear algebra, and dynamical systems.
• Programming expertise in Python or Julia.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Requirements:

• Successful background check.

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! For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location: Pittsburgh, PA

Job Function: Researchers

Position Type: Staff – Fixed Term (Fixed Term)

Full Time/Part time: Full time

Pay Basis: Hourly

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.