Ph.D. Opportunities in Real-Time Computing and Planning with Edge Devices
The Autonomous Intelligent Mobile Systems (AIMS) Lab at Middle Tennessee State University (MTSU) is actively recruiting Ph.D. students to join our research team under the supervision of Dr. Junlin Ou.
Research Focus Areas May Include:
Designing machine learning and optimization algorithms for planning and control
Developing CPU+GPU computing algorithms for real-time robotics applications
Creating control frameworks for various robotic platforms
Preferred Qualifications (One or More):
Solid foundation in control theory, linear algebra, and computational mathematics/mechanics
Hands-on experience with Python, MATLAB, C/C++, or other object-oriented programming languages
Familiarity with embedded systems and edge-computing platforms such as NVIDIA Jetson series, Intel NUC, Raspberry Pi, or Arduino
Strong motivation to tackle real-world engineering challenges and publish impactful research
To apply, please email your cover letter and CV as a single PDF (for Ph.D. applicants, transcripts, and GRE scores are also required) to Dr. Junlin Ou (junlin.ou@mtsu.edu) with the subject line: "Ph.D. Position Application".
Undergraduate Research Opportunities
The AIMS Lab also welcomes motivated undergraduate students interested in robotics, control, or intelligent systems to join as research volunteers or assistants. Students will gain valuable hands-on experience by supporting graduate projects and conducting independent research under guidance. Most roles begin on a volunteer basis, but hourly compensation may be available based on performance and commitment.
To apply, please email your cover letter and CV as a single PDF to Dr. Junlin Ou (junlin.ou@mtsu.edu) with the subject line: "Undergraduate Position Application".