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University of Utah

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Postdoctoral Research Associate in Tile-Based Programming and Adaptive Mesh Refinement University of Utah in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

1-year postdoctoral researcher appointment, renewable up to 4 years. Salary range is $63,000 to $73,000 depending on experience, with additional benefits.

Deadline

Nov 13, 2026

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Country

United States

University

University of Utah

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Keywords

Computer Science
Electrical Engineering
Mathematics
High Performance Computing
Gpu Computing
Post Doc

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About this position

The Kahlert School of Computing at the University of Utah is inviting applications for a 1-year postdoctoral researcher position, renewable up to 4 years, focused on interdisciplinary high-performance computing research.

The project applies tile-based programming abstractions to adaptive mesh refinement (AMR) computation and involves development of the HashBrick open-source framework. The work includes CUDA-based implementation, one-sided communication for scalability, benchmarking studies, communication optimizations, and code generation strategies for an exascale platform using an AMD MI300A GPU+CPU supercomputer.

Applicants should have strong interests or experience in performance analysis and optimization, GPU architecture, and code generation. The position also mentions opportunities for teaching training and experience, and the successful candidate will work with PhD students and external collaborators under faculty mentorship.

Funding: Salary is listed at $63K–$73K depending on experience, with additional benefits.

Location: Salt Lake City, Utah, United States.

Deadline: Close date is 2026-11-13.

How to apply: Contact Prof. Mary Hall for further information and submit applications to both Prof. Hall and Chris Coleman via the posting link.

Funding details

1-year postdoctoral researcher appointment, renewable up to 4 years. Salary range is $63,000 to $73,000 depending on experience, with additional benefits.

What's required

PhD required/expected for a postdoctoral researcher. Strong ability to work with minimal supervision and with PhD students and external collaborators. Experience in performance analysis and optimization, GPU architecture, and code generation is highly valuable. Teaching training and experience are available as an opportunity.

How to apply

Send all applications to Prof. Mary Hall and Chris Coleman. Contact Prof. Mary Hall by email for further information before applying.

More information can be found here

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