Virginia Tech
4 days ago
PhD Positions in Information Theory, Machine Learning, and Scientific AI at Virginia Tech Virginia Tech in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Country
United States
University
Virginia Tech

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About this position
Virginia Tech is advertising PhD positions in Information Theory, Machine Learning, and Scientific AI through Wireless@Virginia Tech at the Institute for Advanced Computing in Alexandria, Virginia, USA.
The research focus is on the mathematical foundations of learning under finite data, compute, and model capacity, including rate-distortion theory, statistical learning, neural scaling laws, and scientific data compression. The environment is described as being near Washington, D.C., with a large wireless/signal processing/systems faculty community.
Eligible applicants should have an M.S. in EE, CS, Math, Stats, Applied Math, or a related field. Helpful preparation includes stochastic processes, linear algebra, calculus, and Python; Lean is mentioned as a plus.
To apply, email Dr. Lingjia Liu and Dr. Sujata Sinha with a research statement, CV including publications and GPA, and 2-3 referees. The post says the positions are open until filled.
Funding details
Available
What's required
Applicants should have or be pursuing an M.S. in Electrical Engineering, Computer Science, Mathematics, Statistics, Applied Mathematics, or a related field. Desired preparation includes stochastic processes, linear algebra, calculus, and Python; Lean is listed as a plus. Candidates should submit a research statement, CV with publications and GPA, and 2-3 referees.
How to apply
Email Dr. Lingjia Liu and Sujata Sinha with a research statement and CV including publications and GPA, plus 2-3 referees. The post says the positions are open until filled.
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