Ying-Kuan Tsai

Fully funded PhD opportunities are available in Mechanical Engineering at Texas State University with Dr. Ying-Kuan (Rick) Tsai, who will join as an Assistant Professor in Fall 2026. The research group focuses on AI-enabled digital twins , machine learning , optimization , control co-design , reinforcement learning , and uncertainty quantification , with applications in advanced manufacturing , autonomous systems , robotics , aerospace , and smart materials . Students will work at the intersection of AI/ML , digital twins, design optimization, control systems, and data-driven modeling for dynamic engineering systems. The post highlights topics such as real-time decision-making, model predictive control, system-of-systems digital twins, federated learning, and physics-based simulation. Funding: the positions are described as fully funded and include a tuition waiver , monthly stipend , and insurance . Eligibility: applicants should have a B.S. or M.S. in Mechanical Engineering, Computer Science, Aerospace, Applied Mathematics, or a related field, along with a strong academic record and good written and verbal English communication skills. Preferred experience includes PyTorch, TensorFlow, JAX, scikit-learn, Python, MATLAB, C++, control systems, optimization, dynamics, and academic publishing. Application window: start dates are listed for Fall 2026 , Spring 2027 , or Fall 2027 . Applications are reviewed on a rolling basis until the positions are filled. How to apply: email the PI with a CV/resume, a one-page summary of research experience and interests, and unofficial transcripts.