Research scientist in Software Engineering for data-intensive systems
Université du Luxembourg
Luxembourg, Luxembourg
il y a 1 mois

Your Role

The successful candidate is expected to assume a leading role in defining, acquiring, managing, and scientifically contributing to projects in the areas covered by the SerVal group, and more specifically software engineering of data-

intensive systems. Data-intensive systems include any system that collects continuously data from diverse sources for advanced analysis (recommendation, decision-

making, simulation, prediction) : IoT, Industry 4.0, Fintech analytics, smart grid and smart systems. Currently these research collaborations involve companies such as CREOS (smart grid), Cebi (Industry 4.

0), Paul Wurth (smart building), BGL-BNP Paribas (Fintech). The missions are to :

  • Publish research results in top conferences / journals
  • Contribute to the supervision of the PhD students and junior research associates.
  • Contribute to industry partners acquisition and industry-projects management
  • Prepare and contribute to European and National research proposals to support the research effort of the Serval Group.
  • In short, lead a subgroup and its projects portfolio, with constructive interactions with the rest of SerVal group, with a vision, research agenda and publication strategy.
  • The candidate will work closely with Prof. Yves Le Traon and the team members of the Security, reasoning and Validation (SerVal) group.

    He will support the activities of the group, including research dissemination and if needed teaching. English is the working language of this international laboratory.

    The lab is engaged in a number of European projects and conducting research in close collaboration with the industry partners.

    For inquiries, please contact : Professor Yves Le Traon, yves.letraon uni.lu

    Your Profile

    PhD in Computer Science with at least 3 years of experience after the thesis.

    Familiar with at least one area mentioned : IoT, Industry 4.0, Fintech analytics, smart grid and data-intensive systems in general.

    Knowledgeable on data analytics, multi-criteria decision making / recommendation systems. Being familiar with model-driven engineering or networking (interoperability, etc.

    and related technologies is a plus as well as the use of machine learning or multi-criteria / search-based approaches. Being knowledgeable in software testing and other key topics of the group, is a plus but not mandatory.

    Excellent publication record in top-tier conferences and journals.

    An experience in or with industry is required.

    Track record in carrying a leading role in research project acquisition and / or entrepreneurship experience

    Fluent written and verbal communication skills in English are mandatory.

    Commitment, team working and critical mind.

    We offer

    The university offers the selected candidate a permanent research scientist appointment. 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 research centre.

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