Controls & Optimization Research Engineer

Cyber-Physical Systems group is seeking an applied research scientist in the area of control, machine learning, modeling, and optimization. The ideal candidate will have both strong mathematical and algorithmic skills and strong implementation skills, with experience developing principled solutions to challenging problems.

Responsibilities:

Participate in research projects as an expert in their field, but with a willingness to stretch and learn to fulfil other roles as needed
Research, design, develop, and implement innovative approaches, methods, and algorithms
Work with internal and external collaborators to formulate problems and define requirements
Develop research plans and write proposals
Develop academic publications and intellectual property
Contribute to various projects within org

Skills needed:

Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related discipline
Demonstrated expertise in control, machine learning, modeling and simulation, and optimization (both traditional and AI-inspired), e.g. strong publication record
Experience with real-world applications is a plus
Demonstrated implementation skills, including expertise in Python and Matlab
Research mindset and ability to contribute to writing proposals