[bull-ia] PhD position at CEA, Saclay (Paris area), France: “Combining Program Analysis and Machine Learning for Cybersecurity”

Dear all,
*PhD Position in Computer Science*: Combining Program Analysis and
Machine Learning for Cybersecurity


Keywords: computer science, machine learning, program analysis,
 software security, formal methods



The CEA LIST, Software Security Lab, has an open PhD position at the
crossroads of automated software security analysis, program analysis and
artificial intelligence, to begin as soon as possible in Paris-Saclay,
France. The position benefits from the collaboration between CEA,
Université of Montpellier and Simula.


— Context, goal and challenges

Binary-level security analysis is sometimes mandatory, e.g., malware or
vulnerability detection. Yet, such tasks are extremely hard to perform
manually and would greatly benefit from automation. While binary-level
program analysis is highly challenging, recent progress have been
recently obtained by adapting advanced methods from program analysis and
formal methods. But these logical methods also reach their
limits at some point. On the other hand, machine learning also starts to
be successfully applied to such problems. Interestingly, these two
families of approaches are complementary: program analysis can
prove facts while learning can infer facts.

The goal of this doctoral work is to understand how deduction-based
approaches (from program analysis) and learning-based approaches (from
AI) can be combined together for attacking hard challenges arising
from security-oriented program analysis — typically, code hardening,
vulnerability detection or reverse.

— Position and host institution

The position is 3-years long. The successful candidate will be hosted at
CEA LIST (Paris area, France) where he will be supervised by Sébastien
Bardin, in close collaboration with Arnaud Gotlieb (Simula)
and Nadjib Lazaar (Université de Montpellier).

— Requirements

We welcome curious and enthusiastic students with a solid background in
Computer Science — both theoretical and practical aspects. Candidates
should be familiar with at least one of the following topics:
program analysis or formal verification, machine learning, logic
(especially automated solvers). A good knowledge of functional
programming (OCaml) is a plus. Some experience in compiling, hacking or
security challenges would be great.

— Application

Applicants should send an email to Sébastien Bardin
sebastien.bardin@cea.fr – including CV, motivation letter and
references. deadline: please contact us as soon as possible, a first
round of selection takes place at the end of May. more information:
email, or http://sebastien.bardin.free.fr/