"Probabilistic graphical model-based security for SCADA critical infrastructures" Fully funded PhD position at University Pierre and Marie Curie (UPMC).
We are seeking for highly creative and motivated candidates for a PhD position at the UPMC's computer science laboratory (LIP6). The goal of the PhD is to exploit probabilistic graphical model technologies to detect possible intrusions or cyber-attacks in SCADA systems. The latter are exploited to control many industrial processes, including in critical infrastructures like energy and water distribution, nuclear plants, etc. The PhD is funded as part of H2020 European project SCISSOR. The prospective PhD student will first work on the learning of the probabilistic graphical models from data acquired from the SCADA system. Here, the challenges are fourfold: i) SCADA systems are temporal and their different parts have quite different dynamics, in particular they evolve at different time granularities; ii) SCADA systems are very heterogeneous by nature, which implies that learning must be performed on NoSQL databases (containing both continuous and discrete random variables); iii) data are acquired in a streaming mode and their amount is expected to be high; iv) the system is non-stationary: it evolves over time. Once the models will be learnt, the PhD will have to develop efficient inference algorithms to detect intrusions and attacks as quickly as possible. The PhD student will work on the necessary theoretical concepts and methodologies to design these algorithms and will also implement them in C++ into the aGrUM graphical model library (http://agrum.lip6.fr). Requirements to candidate include a good mathematical background and excellent programming skills in C++. A good experience in probabilistic graphical models is also a requirement. The candidate should be able to work both independently and in collaboration with others. If interested, please e-mail christophe.gonza...@lip6.fr with your CV. _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
