PhD Position in Machine Learning and Simulation-based Analysis for Smart Grids

Updated: about 14 hours ago
Deadline:

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

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