SECS Micro-Intern: Academic Research

Position is part of the Micro-internship program in the School of Engineering and Computer Science

Must be Freshman or Sophomore Standing

• The role will include a research project in the Mechanical Engineering Department.
• This project will develop an interpretable energy management strategy for a Series Electric-Hydraulic Hybrid Vehicle (SEHHV) by extracting simple control rules from existing Dynamic Programming (DP) results using machine-learning-based shallow decision trees. 
• The student will use MATLAB to train and evaluate the AI-based decision model and compare its performance with the original optimal DP policy.

Duration: 40 hours

Majors: Electrical Engineering, Industrial and Systems Engineering, Mechanical Engineering, Mechatronics and Robotics Engineering

Format: In person

Start: Fall 2026