"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.gonzales@lip6.fr with your CV.
_______________________________________________
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.gonzales@lip6.fr with your CV.
_______________________________________________
__._,_.___
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