University of Utah
2 weeks ago
PhD Student in AI Research and Scholarly Discovery Systems University of Utah in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Pay rate is per Tuition Benefit Program guidelines. The post also mentions a competitive benefits package through the University of Utah.
Deadline
Sep 24, 2026
Country
United States
University
University of Utah
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About this position
PhD Student in AI research at the University of Utah, working with the SCI Institute on AI-ready scholarly discovery and research infrastructure.
The project focuses on AI, data science, research software engineering, scholarly knowledge extraction, metadata engineering, search and retrieval, and human-centered discovery systems. The successful candidate will help extend and maintain the National Data Platform to support AI-enabled science workflows, including model identification, publication mining, evidence extraction, linking papers to models and repositories, and building search, ranking, and visualization interfaces.
Responsibilities include developing web interfaces and APIs, backend services, CI/CD workflows, deployment and maintenance, containerization, performance optimization, and support for user-facing systems. The role also includes collaboration with faculty, staff, students, and software engineers, plus opportunities to publish, present, mentor, and contribute to interdisciplinary research.
Eligibility: current University of Utah graduate student supported on the Tuition Benefit Program. Preferred background includes computer science fundamentals, web technologies, databases, Docker, Linux, debugging, and CI/CD. A PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely related area is preferred, or equivalent research experience.
Funding: pay rate per TBP guidelines, with a competitive benefits package.
Location: Campus, University of Utah, United States.
Deadline: 2026-09-24.
Funding details
Pay rate is per Tuition Benefit Program guidelines. The post also mentions a competitive benefits package through the University of Utah.
What's required
Current University of Utah graduate student supported on the Tuition Benefit Program. Strongly preferred: background in computer science fundamentals including algorithms, data structures, and object-oriented programming; experience with HTML and web technologies; knowledge of server technology and databases; experience with large codebases, Docker, Linux toolchains, debugging, and CI/CD systems. Preferred: PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely related area, or equivalent research experience. Candidates should also have strong communication, teamwork, and self-motivation skills.
How to apply
Apply through the University of Utah posting linked in the announcement. Use the provided application portal and submit before the close date. For questions, contact Jess Tate at [email protected].
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