PhD Candidate in Software and System Verification

vor 4 Wochen


Mettlach, Saarland, Deutschland Université du Luxembourg Vollzeit
About the SnT

The University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT) is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play a key role in Luxembourg by driving innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

Your Role

As a PhD 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 the VARIANCE project, funded by the Luxembourg National Research Fund. The project focuses on the development of novel verification methods to effectively support the design process of cyber-physical systems. You will work on representing a large set of design alternatives in a concise model with a well-defined semantics and applying efficient verification techniques to assess the performance of these designs with regard to different indicators and objectives.

Key Responsibilities
  • Carrying out research in the predefined areas
  • Surveying the scientific literature in the relevant research domains
  • Disseminating results through scientific publications
  • Communicating with stakeholders to collect requirements and report results
  • Implementing proof-of-concept software tools
Requirements

The ideal candidate should possess an MSc degree in computer science with strong programming skills and good knowledge of verification methods. Experience in most of the following topics is also desirable:

  • Programming (ideally C/C++)
  • Variability-intensive software systems (software product lines, configurable systems)
  • Model checking
  • Software engineering
  • Graph theory
  • Metaheuristics
  • Probability theory
  • Sampling and simulations
  • Embedded systems (automotive, satellite...)
  • Machine learning
What We Offer
  • A stimulating learning environment with access to top-notch research facilities
  • Exciting opportunities for collaboration and knowledge sharing with international researchers
  • A competitive salary package, including meal vouchers and health insurance
  • Professional development opportunities and a chance to work on impactful projects
  • A multicultural and inclusive work environment
How to Apply

To apply, please submit your application through the HR system, including your CV, research statement, and contact information for three referees. We look forward to receiving your application.


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