PhD in Risk Analysis of Software Requirements Specification (m/f)
Université du Luxembourg
Luxembourg, Luxembourg
il y a 6j

Your Role

Full time PhD students are intended to work on the RASoRS project.

The subject of the thesis will be aligned with the project as he / she will carry out most of its parts. Therefore, the thesis PhD subject will be Automated scalable techniques for goal-conflict identification and resolution , with supervisors Dr.

Mike Papadakis and Dr. Renzo Degiovanni. Successful PhD candidates will extensively explore and develop software engineering techniques that include the feasibility, practicality and success evaluation of prototype implementations.

The team you will be working with :

  • Yves Le Traon : Group Leader
  • Renzo Degiovanni : Co-advisor
  • Mike Papadakis : Primary advisor
  • PhD Student Role : Under the direction of a professor, the candidate will carry out research activities and write a thesis with the main goal of obtain a PhD in the area of Software Engineering.

  • This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required;
  • planning, executing, and analyzing experiments and simulations; conducting joint and independent research activities; contributing to project deliverables, milestones, demonstrations, and meetings;
  • disseminating results at international scientific conferences / workshops and peer reviewed scientific publications.

    For further information, please contact us at ,

    Qualification :

  • Bachelor in Computer Science or related
  • Master on a subject related to Informatics, or Software Engineering, or Computer Science, or Information Technology
  • Strong background in software testing and formal methods applied to software engineering, such as, propositional / temporal logic, sat solving, model checking, etc.
  • Strong analytical skills
  • Industry experience in information and communication technology will be considered as an advantage
  • Commitment, team working, a critical mind, and motivation are skills that are more than welcome
  • Optional : knowledge of machine learning, metaheuristics, statistics, and text analysis
  • Language Skills : Fluent written and verbal communication skills in English are required.

    We offer

    The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created university.

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