[aims-announce] Open positions in Network Security at Inria, France (PhD and postdoc)

[Jérôme François]

Dear colleagues,

Three positions in network security are open at Inria Nancy Grand Est in France:

*1) PhD Position: Hybrid Neural Networks for Anomaly Detection in Cyber Physical 
Systems*

Recently, machine learning and deep learning algorithms are applied to detect such 
anomalies and attacks. However, most of the applied methods only rely on the cyber 
part of these systems and on the data that describe their behavior without 
considering their physical models. The PhD candidate will investigate how to 
employ hybrid machine learning technique, in particular to apply neural networks 
to detect anomalies in CPS while considering its physical model.

Details and application: https://jobs.inria.fr/public/classic/fr/offres/2020-02466

*2) Postdoc: AI-guided assessment of IoT security*

The goal of the project is to automatically prevent intrusions by identifying IoT 
devices, extract relevant information about their vulnerabilities and assess the 
overall risk. We can thus summarize the global process as follows: (1) 
identification of the IoT deployment through topology discovery and 
fingerprinting, (2) mapping vulnerability to atomic elements of the IoT deployment 
based on public documentations (3) evaluation of the overall risk.

Details and application: https://jobs.inria.fr/public/classic/fr/offres/2020-02463

*3) Postdoc:  Automated configuration of network security in Industrial Control 
Systems*

With the evolution of ICSs highlighted below such as the integration of many (IoT) 
devices in smart environments, their complexity make the full knowledge of normal 
communications almost impossible. In particular, it may also depend of the system 
states or external events even in the case of M2M communications. Therefore, the 
objective of the postdoc is to propose and evaluate new solutions that will 
automatically learn profile of M2M communications in a first step by using 
different techniques (such as machine learning) before transforming them into 
dynamic SDN policies.

Details and application: https://jobs.inria.fr/public/classic/fr/offres/2020-02462
*
**Contacts for all positions: jerome.francois at inria.fr and 
abdelkader.lahmadi at loria.fr*


Jérôme François
Inria Nancy Grand Est
RESIST research team
https://team.inria.fr/resist/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.ifi.uzh.ch/pipermail/aims-announce/attachments/20200327/59345892/attachment.html>