Scholarship: Fully-funded
Degree: Bachelor，Master
Nationality: International Students
Location: USA
Application deadlines: fall 2022
Scholarship Description:
Dr. Qingyun Wu is looking for self-motivated Ph.D. students to work on exciting research problems in machine learning starting from fall 2022 in the College of Information science and technology at Penn State University (https://ist.psu.edu/). Specifically, the lab will be working on research directions including (1) machine learning and optimization for adaptive planning and online decision-making, such as reinforcement learning, multi-armed bandits, and online optimization; and (2) various aspects of automated machine learning, for example, resource-frugal hyperparameter optimization and adaptive model selection, which may have a substantial impact in building practical machine learning systems that can solve real-world problems
Available Subjects:
Machine learning.
Eligibility criteria:
Any student with a strong background in software/AI/systems/networking research ,especially practical and inverse Students with a Bachelor’s or Master’s degree in computer science, electrical engineering, mathematics, or other related disciplines are welcome to apply. In particular, we are looking for students who (1) are passionate and self-motivated to do important/revolutionary work in the aforementioned research directions; (2) have a strong mathematical background; and (3) have good programming skills (students who have experience working on open-source projects are especially preferred). Admitted Ph.D. students will be fully funded through a research assistantship or teaching assistantship.
Application Process
If you are interested, please send an email to [email protected] with a short introduction of your research interests, CV, and transcripts.
