Postdoctoral researcher in Software Verification

at  Universit du Luxembourg

Luxembourg, Canton Luxembourg, Luxembourg -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate16 Sep, 2024Not Specified17 Jun, 2024N/ASoftware Systems,Machine Learning,Cyber Physical Systems,Formal Verification,Software Verification,Deep LearningNoNo
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Description:

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.
We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, under the supervision of Dr. Maxime Cordy. You will contribute to research work in the area of Software Verification. Such research concerns the development of theories, techniques and tools to ensure that software systems behave according to their expected requirements. More specifically, the verification topics that may be explored include (but are not limited to):

  • statistical model checking
  • improving verification with deep learning
  • completeness and consistency of formal specifications
  • verification for variability-intensive software systems
  • verification for cyber-physical systems
  • verification for AI system

Responsibilities:

As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, under the supervision of Dr. Maxime Cordy. You will contribute to research work in the area of Software Verification. Such research concerns the development of theories, techniques and tools to ensure that software systems behave according to their expected requirements. More specifically, the verification topics that may be explored include (but are not limited to):

  • statistical model checking
  • improving verification with deep learning
  • completeness and consistency of formal specifications
  • verification for variability-intensive software systems
  • verification for cyber-physical systems
  • verification for AI systems

The results of the project are expected to apply to multiple use cases, e.g., automotive systems, satellite, smart grids, smart factories, etc., in collaboration with partners of the group. Depending on your profile, the project can focus more on theory, development and/or applications. However, all three aspects are expected to be covered during the project.

The Supervision Team You Will Be Working With Is

  • Maxime Cordy: supervisor
  • Yves Le Traon: head of SerVal

You Will Be Required To Perform The Following Tasks

  • Carrying out research in the predefined areas
  • Disseminating results through scientific publications in top software engineering and formal methods venues
  • Communicate with industry partners to collect requirements and report results
  • Implement proof-of-concept software tools
  • Prepare research proposals to acquire public fundings and/or industry partnerships
  • Manage research projects and prepare project deliverables
  • Provide guidance to PhD students working in the same area

For further information, please contact us at maxime.cordy@uni.lu or yves.letraon@uni.lu


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Phd

Proficient

1

Luxembourg, Luxembourg