NIST PREP Student Software Engineer

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.

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

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