Postdoctoral Researcher

Postdoctoral Researcher 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. Experience with 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 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. 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, and 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. 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, and 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. Benefits and Compensation 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 such as 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 optimise 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 Postdoctoral level. 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. 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 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 Ability to work in a collaborative software development environment as well as working independently with minimal supervision and direction. Ability to learn new tools and technologies. Self‑motivation and good organizational, communication, and teamwork skills. 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. Contact Please contact Jess Tate (View email address on click.appcast.io) for further information. Application Details Requisition Number: PRN45463B Full Time Work Schedule: Expected to attend meetings and be otherwise communicating during standard business hours. Location: Campus Pay Rate: $60,000 to $70,000 Close Date: 9/24/2026 To apply, visit jeid-1941b6f69d8b0540b2c892f53bf9b0be #J-18808-Ljbffr