AI is revolutionizing multiple areas of software development including writing computer software and finding bugs in both AI and conventional software. For example, modern frontier AI models can autonomously analyze massive codebases and identify subtle vulnerabilities and potential exploits. Because systems with this level of capability pose significant security risks, leading AI labs enforce strict access controls on them. Despite these advancements, there remains a critical need for more capable AI-based bug finders, as current models are still unable to find many complex vulnerabilities. In addition, there is a need for cost-efficient bug finders that software vendors can use. NIST is developing test material to measure the efficacy of AI-based bug finders to support the training, understanding and responsible use of the tools for more secure software.
Knowledge, skills, and interest in the research and evaluation of AI-based bug finders and software vulnerabilities.
This opportunity is to be an associate researcher in the NIST Software Security Group for a term of 2 years, with options to renew and/or pursue longer term federal employment. Associate researchers are NOT Federal Employees, but they will work alongside NIST researchers. Relocation expenses will not be provided.
Candidates who meet all of the required qualifications are invited to express their interest in the position by sending an updated CV to daisy.barba [at] nist.gov (daisy[dot]barba[at]nist[dot]gov) and vadim.okun [at] nist.gov (vadim[dot]okun[at]nist[dot]gov).