Position: Opening a fully-funded Ph.D. student position in Machine Learning and Information Theory with applications to data security and privacy at the University of Texas at Arlington, TX under the supervision of Dr. R. Chou.
With a global enrollment of approximately 60,000 students, The University of Texas at Arlington is one of 131 universities nationwide to receive the R-1: Doctoral Universities—Very High Research Activity designation by the Carnegie Classification of Institutions of Higher Education, the definitive list for the top doctoral research universities in the United States. In 2021, UTA received the Texas Tier One designation reserved for the state’s top institutions for academic and research excellence.
Candidate profile: An MSc/BSc degree or equivalent in one of the following areas is required: information theory, signal processing, machine learning, applied mathematics, or mathematics.
How to apply: To be considered for the position, please attach your CV, your transcripts, and contact information for references that could write a recommendation letter for you (past advisors). Contact: uta2023applications@gmail.com.
Deadline: Screening of applicants will start immediately and the positions remain open until filled. The anticipated start date is Spring 2025.
