Post-Doctoral Research on Inference Enterprise Modeling at The George Mason University

The George Mason University C4I and Cyber Center anticipates the need for a post-doctoral researcher to support a new project in inference enterprise modeling. The purpose of the research is to develop models to predict the performance of enterprises devoted to detecting insider threats. Current approaches to insider threat detection and mitigation are largely reactive and lack rigorous evaluation methodology. The anticipated research will address this deficiency by developing a multi-modeling framework and testbed to aggregate predictions of multiple models. The framework and testbed will be applied to a series of challenge problems to predict the performance of real-world inference enterprises at detecting insider threats.
We seek information about potential candidates, in expectation that research will begin sometime in the Spring of 2016. The successful candidate will have completed or be nearing completion of a PhD degree in systems engineering, computer science, computational science, machine learning, operations research, cyber security, or a related field. Desirable methodological background includes systems engineering, system architecture, enterprise modeling, information technology, machine learning, Bayesian inference, artificial intelligence, semantic technology, discrete event modeling, and decision theory. Experience in cyber security and insider threat detection is beneficial.
Interested candidates should send a curriculum vitae to:
Kathryn Blackmond Laskey
Associate Director, C4I and Cyber Center
Systems Engineering and Operations Research Department
George Mason University
Fairfax, VA 22030
klaskey-AT-gmu.edu