Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 2 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html.
If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email.
Research Topic Description, including Problem Statement:
Cyber defense is currently based on resilience: matching known attacks with proven defenses. Adaptation and improvement are only possible using human intervention to inject innovation after the fact.
The concept of Antifragility was suggested by Taleb (2012) . This creates the possibility of using machine learning to create self-healing systems within a cycle of continual improvement. Antifragile cyber systems are therefore systems that are sufficiently resilient to survive preliminary attack, can learn from this experience, and can self-improve. In other words, antifragile systems gain in resilience the more that they are attacked. The technology for achieving this does not yet exist, however, recent encouraging developments in robotics could be used to make progress.
The main challenge is establishing an AI that has sufficient self-awareness to interpret the attack experience and innovate improved defensive measures to itself. Specifically, the AI will need:
Detailed challenges include:
 Nassim Nicholas Taleb (Author), Antifragile: Things that Gain from Disorder, Random House; Illustrated edition (27 Nov. 2012), ISBN-13: 978-1400067824
 Nehaniv, C.L. & Dautenhahn, K., The Correspondence Problem in Social Learning: --What Does it Mean for Behaviors to Match Anyway, 2002, Procs of Perspectives on Imitation: from Cognitive Neuroscience to Social Science, http://hdl.handle.net/2299/1790
Key Words: Cyber Defense, Antifragility, Cyber Systems, Artificial Intelligence, Machine Learning