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Jieyang Chen

Jieyang Chen
Assistant Professor
Department of Computer Science
University of Oregon
Eugene, OR 97403
Email: jieyang AT uoregon DOT edu
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PhD Student Recruitment

Dr. Jieyang Chen is currently a tenure-track assistant professor in the Department of Computer Science at the University of Oregon. We are recruiting 1-2 Ph.D. students for Fall 2026 or Spring 2027 admission.

About Me

Dr. Chen received his Ph.D. in Computer Science and Engineering from the University of California, Riverside (UCR). During his doctoral studies, he conducted long-term collaborative research with Los Alamos National Laboratory (LANL) and Pacific Northwest National Laboratory (PNNL) under the U.S. Department of Energy. After graduation, he worked as a full-time researcher at Oak Ridge National Laboratory (ORNL).

Research Interests:

  • High Performance Computing/Distributed Computing
  • Large Language Models System Optimizations
  • GPU Computing and Optimizations
  • Extreme Scale Data Management
Dr. Chen has published more than 50 papers in leading conferences and journals in high-performance computing, including SC, ICS, PPoPP, IPDPS, HPDC, TPDS, TC, and JPDC.

About the University and CS Program

The University of Oregon, founded in 1876, is a top-tier public research university (R1) in the United States. It is a member of the Association of American Universities (AAU), an organization consisting of 71 leading research universities in the U.S. and Canada, focusing on research excellence and graduate education. The university has produced 3 Nobel Prize winners, 13 Pulitzer Prize winners, 19 Rhodes Scholars, and 5 Marshall Scholars The Computer Science program at the University of Oregon ranks #71 nationally (US News 2026). In distributed systems and high-performance computing (HPC)-Dr. Chen's research area-the program ranks #18 in the US (based on CSRankings 2016-2026 cumulative top-tier publication records).

What the Advisor Provides

All admitted PhD students will receive 5 years of full financial support (RA/TA), including:
  • Living stipend
  • Full tuition coverage
  • Health insurance
Students will also receive research equipment, including:
  • A latest-generation Mac laptop
  • External monitors
  • Access to lab GPU computing nodes equipped with NVIDIA H100 GPUs
Dr. Chen maintains long-term collaborations with multiple U.S. Department of Energy national laboratories, giving students access to world-leading exascale supercomputers for research. Outstanding students may also have opportunities to intern at national laboratories during the summer. Because Dr. Chen's research spans multiple areas of computer science, graduates from the group can pursue careers at major technology companies and national laboratories.

Expectations for PhD Students

Basic Requirements

Applicants should:
  • Have strong self-learning ability and logical thinking skills
  • Be persistent and motivated
  • Hold a Bachelor's degree in CS, EE, CE, or a related field
  • Meet English proficiency requirements: TOEFL >= 88 or IELTS >= 7 (Waived for applicants who obtained a degree in an English-speaking country)

Preferred Qualifications (Not Required but Highly Beneficial)

These will significantly strengthen an application:
  • Prior research experience (projects, publications, research reports)
  • Experience in one or more of the following areas:
    • Computer systems
    • Parallel computing (OpenMP, CUDA, MPI, etc.)
    • Machine learning (ML algorithms, DNN training, distributed learning, large language models)
    • Data science
  • A Master's degree
  • GRE scores: Verbal >= 153, Quantitative >= 154, and Analytical >= 3.0

How to Apply?

Please send the following materials to my email. Email subject line: PhD Hire + Your Name Required materials:
  • CV / Resume
  • Academic transcripts (Undergraduate + Graduate, if applicable)
  • English test scores
  • GRE scores (if you have them)
  • Any supporting materials (awards, publications, etc.)

Location and Regional Advantages

The University of Oregon is located in the tax-free state of Oregon, home to major technology and global companies such as Intel, Nike, and Columbia Sportswear. The campus is located in the scenic city of Eugene, the second-largest city in Oregon, with a population of nearly 200,000 residents.
  • Portland: 1.5-hour drive (shopping, food, entertainment)
  • Florence Coast: scenic Pacific coastline accessible via Highway 101
  • Cascade Mountains: including Hoodoo Ski Area for winter sports
  • McKenzie River Valley: ideal for fishing and rafting
Additionally, Eugene is conveniently located between two major U.S. tech hubs:
  • Seattle: 1 hour flight
  • San Francisco: 1.5 hour flight
This provides excellent opportunities for academic collaboration, internships, industry engagement, travel, and cultural experiences.

Last update: March 08, 2026