NIST PREP Research Associate in Computer Science and AI
SURA is a nonprofit consortium of 57 member universities that advances collaborative scientific research and education, operates research programs and staffing initiatives, and participates in operating Jefferson Lab through the SURATech joint venture.
About Southeastern Universities Research Association
Established in 1980 to pursue construction and operation of the Continuous Electron Beam Accelerator Facility, SURA now supports large-scale scientific collaboration, talent development, space-science programs, NIST research opportunities, and the operation of Jefferson Lab through SURATech with Virginia Tech.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop, deploy, maintain, and evaluate AI and machine-learning systems for the NIST GenAI evaluation series. You will curate datasets, build evaluation infrastructure and metrics, develop baseline algorithms and agent architectures, manage data, and contribute to technical reports.
Requirements
- Proficiency in a mainstream scientific or networking programming language
- Knowledge of networking technologies and REST-based applications
- Proficiency in shell scripting
- Knowledge of virtualization and cloud technology stacks
- Knowledge of computer vision and signal processing
- Knowledge of scientific data visualization and analysis
- Experience with agentic design patterns and orchestration frameworks
- Familiarity with JSON Schema, dynamic tool interfaces, and Model Context Protocol
- Familiarity with agentic evaluation frameworks and benchmarks
Responsibilities
- Install, develop, and deploy AI and machine-learning software on GPU-accelerated clusters
- Conduct image, audio, and video evaluation series
- Design experiments and curate datasets
- Develop generative AI baseline algorithms
- Maintain and improve GenAI software and evaluation infrastructure
- Manage and translate data formats and specifications
- Design and deploy agentic AI evaluation metrics and frameworks
- Develop standardized baseline agent architectures