Doctoral Candidate (PhD student Position) in Machine Learning for Industry 4.0

Updated: about 11 hours ago
Deadline: 28 Feb 2020

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 Ceratizit Luxembourg SARL, a worldwide leader in carbide product manufacturing. The topic of the project is “Automated Defect Recognition in Carbide Products” and it concerns the application of machine learning (in particular, image recognition) techniques and tools to detect defects in products manufactured by Ceratizit, at different stages of the fabrication process. The project also investigates scalable solutions to support the reliable deployment of related techniques (AutoML, image enhancement, data augmentation, feedback loops …) in the industrial settings of Ceratizit Luxembourg. The project is held in close collaboration with Ceratizit and, as the successful candidate, you will be expected to spend an appreciable amount of your time in their Luxembourgish HQ and factory (located in Mamer).

The supervision team you will be working with is:

  • Dr. Maxime Cordy: research scientist
  • Dr. Jérémy Robert: research associate
  • Prof. Yves Le Traon: head of SerVal

You will be required to perform the following tasks:

  • Carrying out research in the predefined areas
  • Disseminating results through scientific publications
  • Participating in research project proposal drafting
  • Assisting in the organization of relevant workshops

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