PhD Position in Machine Learning and Simulation-based Analysis for Smart Grids
University of Luxembourg
Esch-sur-Alzette, Luxembourg
il y a 6j

About the SnT

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.

The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners.

For further information you may check : and

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!

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 , 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 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 , 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 (supervisor) : 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 :

  • Machine learning
  • Simulation-based analysis
  • Multi-objective optimization
  • Smart energy grids
  • Software engineering
  • Data collection and storage pipeline
  • Strong software development skills are mandatory, including the ability to develop quality front end and back end.

    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 : Fixed Term Contract 36 Month (extendable up to 48 months if required)
  • Work Hours : Full Time 40.0 Hours per Week
  • Starting date : As soon as possible
  • Location : Kirchberg
  • Employee and student status
  • Job Reference : UOL04807
  • The yearly gross salary for every PhD at the UL is EUR 37.101,36 (full time)

    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

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