Publisher
source

Virginia Tech

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

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Country

United States

University

Virginia Tech

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Keywords

Computer Science
Electrical Engineering
Mathematics
Artificial Intelligence
Stochastic Processes
Wireless Communication
Python Programming
Linear Algebra
Data Compression
Statistics
ML

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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.

More information can be found here

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