Postdoctoral Researcher

We are seeking a highly talented postdoctoral researcher with experience and interest in state-of-the-art AI technologies, data science, and research software engineering. 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.

About the role

The project will explore conceptual frameworks and system architecture to support data trust in the context of AI-enabled science workflows. Experience 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 project, this project will explore approaches to discovering 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.

About the 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 visualization, simulation, and modeling.

Research focus

This position centers on the design and development of systems that enable discovery and analysis of AI models used in scientific research publications. The 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.

Professional development

Through the Cyberinfrastructure Professionals (CIP) Cooperative at the SCI Institute, the successful candidate will access a strong community of research computing and data experts. 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 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, 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

Requirements

• PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely related area, or equivalent research experience
• Demonstrated potential ability to perform the essential functions of the job

Skills

Strongly preferred:

• 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, bugs, and devising solutions
• Experience with GitHub Actions, GitLab CI, or similar CI/CD systems

Preferred:

• 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:

• Able to work in a collaborative software development environment as well as independently with minimal supervision
• Able to learn new tools and technologies
• Self-motivated with good organizational, communication, and teamwork skills
• Willingness and ability to collaborate in a highly diverse, multidisciplinary environment
• Excellent oral and written communication 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

Pay

$60,000 to $70,000