We apply state-of-the-art artificial intelligence and machine learning techniques, including deep learning and reinforcement learning, to solve challenging and impactful computational problems in complex cyber-physical systems, such as transportation and power systems, focusing on sequential decision-making under uncertainty and combinatorial optimization.
Campus(es):
University Park, University Park - IST
Work Setting(s):
On campus, Remote
Area(s):
Engineering, Information Technology and Computer Science
Mentor:
Description of undergraduate’s responsibilities:
This research requires a solid background in artificial intelligence and machine learning, including both theoretical foundations and practical frameworks.
Minimum Expectations:
- Programming experience (preferably in Python)
- Foundations of machine learning and data sciences
- High GPA
Position Type(s):
Credit, Volunteer
How to Contact:
Please e-mail your interests and CV to aql5923@psu.edu