Graduate Research Assistant Jobs in Utah (NOW HIRING)

Announcement
Details
Open Date
06/24/2026
Requisition Number
PRN45460B
Job Title
Graduate Research Assist (RA)
Working Title
PhD Student in AI research
Career Progression Track
A00
Track Level
FLSA Code
Professional
Patient Sensitive Job Code?
No
Standard Hours per Week
20
Full Time or Part Time?
Full Time
Shift
Day
Work Schedule Summary
This position is expected to attend meetings and be otherwise communicating during standard business hours
VP Area
Academic Affairs
Department
00810 - Scient Comp & Imag Instit-Oper
Location
Campus
City
Salt Lake City, UT
Type of Recruitment
External Posting
Pay Rate Range
per TBP guidelines
Close Date
09/24/2026
Priority Review Date (Note - Posting may close at any time)
Job Summary
We are seeking a highly talented PhD Student with experience and interest in state-of-the-art AI technologies, data science, and research software engineering, a. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks and system architecture to support data trust in the context of AI-enabled sience workflows. Experience and developing and deploying software is desired.
We are extending and maintaining the National Data Platform to support a new generation of discovery capabilities targeting AI-enabled (agentic) science workflows. . Building on ideas pioneered by the Democratizing Data 1 2 project ( insights.ndp.utah.edu ) , this project will explore approaches to discovery data and models that are trusted and fit for use by leveraging contextual information about their use derived from a range of sources including published literature. The approach includes extracting, linking, and presenting evidence from records to help users understand where models are used, how they are applied, what tasks they support, and how they evolve across scientific domains.
The successful candidate will contribute directly to the research and implementation of workflows for AI model identification, publication mining, metadata engineering, search and retrieval, and interactive user-facing systems. The role includes support for integration, development, deployment, maintenance, UI/UX, containerization, automation, and system-level optimization.
Please contact Jess Tate (jess@sci.utah.edu) for further information.
The SCI Institute:
The SCI Institute is a world-class research institute located within the new Warnock Engineering Building on the University of Utah campus. We are a highly dynamic, driven group of over 170 faculty, staff, and students. The overarching goals of the SCI Institute's scientific computing research are to create new techniques, tools, and systems, by which scientists may solve problems affecting various aspects of human life. We believe that to advance the state-of-the-art and create meaningful computational solutions for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at http://www.sci.utah.edu/.
Research Focus of This Position
This position centers on the design and development of systems that enable discovery and analysis of AI models used in scientific research publications. Rather than cataloging datasets cited by papers, this effort focuses on identifying and organizing information about:
• AI models mentioned or used in publications
• model families, versions, checkpoints, and architectures
• tasks and scientific domains in which models are applied
• evidence of reuse, benchmarking, fine-tuning, and comparison
• links among papers, models, repositories, benchmarks, and supporting resources
• search, ranking, and visualization interfaces for model-centric scholarly exploration
This work sits at the intersection of AI/NLP, scholarly knowledge extraction, software engineering, data infrastructure, and human-centered discovery systems.
Opportunities for Professional Development
Through the Cyberinfrastructure Professionals (CIP) Cooperative (Co-Op) at the SCI Institute, the successful candidate will access a strong community of research computing and data experts working together to support and sustain SCI's world-class research efforts. SCI's CIPs perform a wide range of advanced services that positively impact research outcomes, improve researcher productivity, and strengthen the growing SCI research enterprise. The Co-Op provides faculty and research staff with a stable environment for mentoring, growth, training, communication, and planning across diverse research projects. This role offers exceptional opportunities to:
• contribute to high-impact interdisciplinary research
• publish and present work in relevant venues
• collaborate with experts in AI, data systems, and scientific computing
• gain hands-on experience with production-grade research software and infrastructure
• mentor students and junior developers
• shape the future of AI-ready scholarly discovery platforms
Work Environment
You will contribute to cutting-edge computational methods for AI-ready model discovery, research knowledge extraction, and scientific search systems.
We offer:
• flexible working hours
• professional career development opportunities
• collaboration with a multidisciplinary and research-driven team
• access to strong computing and research infrastructure
• a competitive benefits package through the University of Utah
Responsibilities
• Work with faculty, staff, and students in designing and developing computational tools in support of research projects.
• Aid in the specification of software requirements in coordination with faculty or team leads.
• Develop user interfaces, APIs with web front-end technologies like HTML5, SCSS, Vue, React, Typescript, D3.js, node.js, chart.js
• Back end server component development with technologies such as Flask, Django, CKAN, ArangoDB, PostgreSQL, MongoDB, Redis, and Elasticsearch.
• Create and maintain build, testing, and deployment systems with Git, Github, Slack, Docker, AWS, Circle-CI, webpack, npm and many others.
• Develop high quality and well documented code.
• Build CI/CD workflows to validate changes across multiple targets
• Profile and optimize performance for data throughput and latency
• Interface with collaboration partners and participate actively in a collaborative work environment to turn requirements into optimal solutions on a large scale.
• Contribute actively to team discussions on architectural design and solutions by continuously looking for improvements.
• Research and stay current with project-related scientific literature.
• Identify and implement creative solutions to overcome problems.
• Mentor postdocs, students, and junior software developers for best software practices.
• Support the end-user community by responding to user questions posted on the discussion list, fixing bugs, and incorporating feature requests.
• Help with the project website and discussion boards for user support, developer support, and announcements.
• Contribute to teaching activities by preparing and presenting educational seminars
Minimum Qualifications
Current University of Utah graduate student who is supported on the Tuition Benefit Program.
Preferences
Strongly Preferred Skills:
• Solid background and working knowledge of computer science fundamentals including algorithms, data structures, and object-oriented programming.
• Experience with HTML and web technologies.
• Good knowledge of server technology and databases.
• Working with large codebases
• Containerization (Docker) and building software for web deployment
• Strong understanding of Linux toolchains and debugging tools
• Debugging and critical thinking skills including identifying bottlenecks, and bugs and devising solutions to these problems.
• Experience with GitHub Actions, GitLab CI, or similar CI/CD systems
• PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely related area, or equivalent research experience.
Preferred skills and experience:
• Experience contributing to scientific computing frameworks
• Knowledge of RDMA, libfabric, or similar low-level communication APIs
• MCP and NLP integration
• UI/UX design
• Scientific visualization
• CyberSecurity and AAI (OAuth2, Keycloak, etc)
• Cloud deployment and Kubernetes
Non-Technical Skills
• Able to work in a collaborative software development environment as well as working independently with minimal supervision and direction.
• Able to learn new tools and technologies.
• Being self-motivated and having good organizational, communication, and teamwork skills is essential.
• Willingness and ability to collaborate in a highly diverse, multi-disciplinary environment.
• Excellent oral and written communication skills necessary to effectively work in a multidisciplinary team environment.
• Communication and presentation skills to engage technical and non-technical
• audiences.
• Strong interpersonal abilities and teamwork skills.
• Highly motivated to support research projects.
• Ability to manage time across simultaneous tasks.
Note: This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
Type
Benefited Staff
Special Instructions Summary
Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
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As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.