Machine Learning of Clues to New Cyberattacks from Honeypots and other Forensic Data

About this program

The Naval Postgraduate School, in collaboration with the National Academies of Science, Engineering, & Medicine, offers a fellowship focused on developing machine learning methods to detect new cyberattacks using honeypots and forensic data. The project emphasizes analyzing network traffic from cyber-physical system simulations and exploring adversarial machine learning techniques. Eligibility is open to U.S. citizens, permanent residents, and postdoctoral and senior applicants, with stipends starting at $67,000 plus a $3,000 travel allotment, and higher rates for experienced postdoctoral and senior associates.