PhD Position in Machine Learning and Simulation-based Analysis for Smart Grids
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg
Luxembourg, Luxembourg
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source : Euraxess

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.

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 (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 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 :

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

    Language Skills : Fluent written 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!

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  • Complete picture of the perks we offer

    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
  • Work Hours : Full Time Hours per Week
  • Number of positions : 2
  • Location : Kirchberg
  • Employee and student status
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