Job Summary

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

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 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 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.

Please contact Jess Tate (jess@sci.utah.edu) for further information.

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.

Responsibilities

• Work with faculty, staff, and students in designing and developing computational tools in support of research projects.
• 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.
• Mentor postdocs, students, and junior software developers for best software practices.

Minimum Qualifications

Postdoc. Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.

Preferences

Strongly Preferred Skills: Solid background and working knowledge of computer science fundamentals including algorithms, data structures, and object-oriented programming. PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely related area, or equivalent research experience.