PhD Candidate in Machine Learning applied to Predictive Vehicle Maintenance

Updated: 10 days ago
Deadline: ;

The successful candidate will join the 360Lab, led by Prof. Raphaël Frank and part of the SEDAN Research Group. More specifically, you will contribute to a partnership project with Motion-S (www.motion-s.com ), a mobility data analytics company. The topic of the project is “Predictive Maintenance for Vehicles”. The goal of the project is to do predictive analysis of both historical connected car and maintenance data for a relevant number of vehicles, with the goal of producing several predictive models for individual components and assessing the car wear as a whole. Moreover, the project will consider a set of mechanisms to allow continuous learning and improvement of the models based on live data. The project is held in close collaboration with Motion-S and, as the successful candidate, you will be expected to spend an appreciable amount of your time in their premises located in the southeast of Luxembourg (Mondorf-Les-Bains).

The supervision team you will be working with is:

  • Raphaël Frank, Senior Research Scientist at SnT
  • Sasan Jafarnejad, CTO at Motion-S
  • German Castignani, CEO at Motion-S

You will be required to perform the following tasks:

  • Carrying out research in the predefined areas
  • Disseminating results through scientific publications
  • Identifying potential intellectual property assets and supporting the project stakeholders on the intellectual property protection process (e.g., patents)
  • Communicate and interact with the partner’s team to collect requirements and report results
  • Implement proof-of-concept software tools

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