NIST PREP Student Software Engineer
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 deepfake-generation and benchmarking pipelines, metadata and dataset-validation tools, and baseline detection algorithms. You will build reproducible evaluation infrastructure, deploy tools on Linux and GPU systems, and create a secure web platform with authentication, controlled dataset access, and administrative capabilities.
Requirements
- Senior undergraduate or graduate student in Computer Science, Software Engineering, or a related field
- Strong Python proficiency
- Linux and Bash scripting experience
- Background in audio, image, or video processing and analysis
- Ability to work independently and in collaborative research environments
Responsibilities
- Develop deepfake and synthetic-data generation pipelines
- Implement metadata handling and dataset-validation tools
- Build deepfake media benchmarking infrastructure
- Implement baseline deepfake detection algorithms
- Deploy detection tools on Linux servers and GPU clusters
- Implement evaluation metrics and reproducible evaluation pipelines
- Conduct quantitative performance analysis
- Design, implement, and maintain a secure evaluation web platform
- Build authentication, controlled dataset access, and administrative functionality