We plan to recruit several Ph.D. and master students for Jan 2024 and Sep 2024 (with full funding support, and decent computation support) on the following directions.
- Industrial Applications of Large Language Models
- Foundation Models for Reinforcement Learning (Safety, Generalization)
- AI/RL for Energy/Sustainability
- Time Series Forecasting (Non-stationary environment and limited resource/data)
We also welcome visiting scholars. It will be nice if the candidates can have a strong background in machine learning/control. If you are interested in joining our lab or collaborating on potential projects, please write (with a detailed CV and indicating clearly the English test score, e.g., TOEFL/IELTS/GRE) to Professor Wu (firstname.lastname@example.org) and cc Professor Boulet (email@example.com). Please check this link for basic admission requirements first.