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Pu Jiao

6 months ago

PhD Student Position in High-Performance Computing, Scientific Data Compression, and GPU Computing at University of Texas Rio Grande Valley University of Texas Rio Grande Valley in United States

Degree Level

PhD

Field of study

Computer Science

Funding

The position is described as fully funded, with full tuition coverage and a competitive stipend.

Deadline

Expired

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Country

United States

University

The University of Texas Rio Grande Valley

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Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Statistical Analysis
Parallel Computing
Data Compression
Gpu Computing

About this position

PhD student position available at the University of Texas Rio Grande Valley (UTRGV) in the Department of Computer Science. The post is from Pu Jiao, who states they will join UTRGV as a Tenure-Track Assistant Professor starting Fall 2026 and is recruiting self-motivated PhD students for a new research group.

Research interests include High-Performance Computing (HPC), scientific data compression, GPU computing, parallel algorithms, and large-scale scientific data management and analysis. This opportunity is especially relevant for students interested in computer science, scientific computing, and performance-oriented data systems.

Funding is described as full tuition coverage plus a competitive stipend, indicating a fully funded PhD opportunity. The post does not mention a formal application deadline.

Eligibility highlights: a Bachelor's degree or above is required; no specific major is required, though a relevant background is welcome. Strong programming skills are expected, and applicants should be highly motivated to do research and learn independently. Applicants without a CS-related degree may be asked to take the GRE according to university policy.

To apply, email Pu Jiao at [email protected] with the subject line format provided in the post and include a personal statement, CV/resume, academic transcripts, and any additional materials such as TOEFL/GRE scores or publications.

Funding details

The position is described as fully funded, with full tuition coverage and a competitive stipend.

What's required

Applicants should have a Bachelor's degree or above; no specific major is required, but a relevant background is welcome. Solid programming skills are required, along with strong motivation for research and the ability to learn independently. Applicants without a CS-related degree may be required to take the GRE per university policy. TOEFL/GRE scores and other materials may be submitted if available.

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