Opening Ph.D. Positions
I am actively looking for Ph.D. students to join my group, starting in Spring/Fall 2026.
Requirements: The desirable candidates must have
- Strong background in calculus, linear algebra, probability and statistics;
- Strong background in communications engineering;
- Strong programming skills, for example, MATLAB, Python, or C/C++;
- Strong motivation and commitment to pursue Ph.D. research;
- Good/excellent command of English.
While not required, the following can strengthen your application:
- Good/strong publication(s);
- Solid background/experience in machine learning, estimation and detection theory, or optimizations;
- Master's degree in EECS, ideally with completed courses in wireless communications, machine learning, estimation and detection theory, optimizations, or a thesis in wireless communications.
Potential Research Topics: The potential research topics include, but not limited to, machine learning and statistical learning for wireless communications; MIMO, massive MIMO, cell-free massive MIMO, distributed MIMO; Integrated sensing and communications (ISAC); Millimeter wave and Terahertz communications; Non-terrestrial communications and networks.
How to Apply: If you are interested, please send your application including a
detailed CV, transcript(s), and a cover letter with your research interests, to my email: vanly.nguyen@ku.edu
Why the University of Kansas (KU)?
KU is a top-tier research institution, classified among “R1: Doctoral Universities—Very high research activity”. KU is also a member of the Association of American Universities (AAU)—a prestigious, invitation-only organization of leading public and private research universities in North America dedicated to advancing research and higher education.