PhD Position in software engineering for machine-learning systems with application to Smart Grids
University of Luxembourg
Alphonse Weicker, Luxembourg
il y a 18h

Your Role

As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, headed by Prof.

Yves Le Traon. You will contribute more specifically to a partnership project with Creos S.A., the major energy network manager in Luxembourg.

The topic of the project is Secure, Reliable and Predictable Smart Grids and it concerns the application of machine learning and simulation techniques to predict the impact of customers’ consumption on the Luxembourgish smart grid.

The project involves (1) building decision making systems suggesting, based on consumption-related predictions, relevant actions to preserve the stability of the energy network, (2) designing methods to simulate worst-case scenarios (such as incidents) assessing the resilience of the grid to extreme conditions.

The project is held in close collaboration with Creos S.A. and, as one of the successful candidates, you will be expected to program prototype tools showcasing the practical benefits of your research outcomes.

The supervision team you will be working with is :

  • Dr. Maxime Cordy : research scientist
  • Prof. Yves Le Traon : head of SerVal
  • You will be required to perform the following tasks :

  • Carrying out research in the predefined areas
  • Survey the scientific literature in the relevant research domains
  • Disseminating results through scientific publications
  • Communicate with the partner to collect requirements and report results
  • Implement proof-of-concept software tools
  • Your Profile

    Qualification : The candidate should possess an MSc degree (or equivalent) in Computer Science, or in Electrical Engineering with strong programming skills and good knowledge of computer science in general.

    Experience : The ideal candidate should have some knowledge and / or experience in a number of the following topics :

  • Software engineering for machine-learning systems
  • Machine learning
  • Simulation-based analysis
  • Multi-objective optimization
  • Smart energy grids
  • Data collection and storage pipeline
  • Strong software development skills are mandatory.

    Language Skills : Fluentwritten and verbal communication skills in English are required. French is a plus.

    Here’s what awaits you at SnT

  • A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
  • Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
  • The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners
  • Multiple funding sources for your ideas . The University supports researchers to acquire funding from national, European and private sources
  • Competitive salary package . The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating
  • Be part of a multicultural family . At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more
  • But wait, there’s more!

  • Complete picture of the perks we offer
  • Discover our Partnership Programme
  • Download the brochure : Why choose SnT for your PhD?
  • Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.

    In Short

  • Contract Type : Contrat à durée déterminée 36 Mois - extendable up to 48 months if required
  • Work Hours : Temps plein 40.0 Heures par Semaine
  • Start date : between 1st of October 2021 and 1st of January 2022, upon agreement
  • Employee and student status
  • Location : Kirchberg
  • Internal Title : Doctoral Researcher
  • Job Reference : UOL03747
  • Further Information

    Applications should be submitted online and include :

  • Full CV, including list of publications and name (and email address, etc) of three referees
  • Transcript of all modules and results from university-level courses taken
  • Research statement and topics of particular interest to the candidate (300 words)
  • Motivation letter
  • All qualified individuals are encouraged to apply.

    Early submission is encouraged, applications will be processed upon arrival and closed as soon as relevant candidates are retained (regardless of the desired starting date).

    Please apply formally through the HR system. Applications by email will not be considered.

    The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

    About the University of Luxembourg

    The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character .

    It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education.

    The University s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.

    Further information

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

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