We are seeking a highly motivated and detail-oriented Ph.D. student to join our dynamic team in the area of optimal control.
Requirements:
- Master’s degree in mechanical engineering, industrial engineering, or a related field with a background in optimal control, parameter estimation, or reinforcement learning.
- Proficient in programming languages such as Python, MATLAB, or C++.
- Strong analytical skills.
- A good understanding of heat transfer and fluid mechanics is desirable.
We support full tuition and offer a competitive salary and benefits package. The Ph.D. student will have the opportunity to work with a multidisciplinary team of faculty and students having diverse technical backgrounds in computational modeling, manufacturing control, and agricultural engineering.
If interested, please submit a curriculum vitae to Prof. Cheol Lee (cheol@umich.edu). For Winter 2025 admission, all application materials should be submitted to the on-line application system at the UM-D by August 1, 2024.
ABOUT CECS at UM-D
The University of Michigan-Dearborn (UM-D) is located in an industrially rich area and in the center of a hub of the American automotive industry. The College of Engineering and Computer Science (CECS) at the UM-D works very closely with the industrial community through various collaboration and partnerships. The CECS is a vibrant and diverse community that includes more than 1800 undergraduates, 1200 graduate students, and over 80 tenured and tenure-track faculty across a wide-array of disciplines.
