Responsibility

  • Elaborate the fundamentals for bearing condition monitoring (e.g., reasonable parameters and measurement systems for condition detection)
  • Develop a comprehensive testing strategy for the experimental investigation of bearings in different environments (bearing test rig and different engine test rigs) by employing approaches such as design of experiments
  • Generate a comprehensive database with help of the experimental investigations
  • Identify and evaluate data-driven approaches which serve to establish bearing condition monitoring applications
  • Interact closely within the LEC’s research team and with key persons from industry project partners
  • Communicate the project results in regular internal meetings and to project partners
  • Disseminate the project results in the form of scientific publications and elaborate a doctoral thesis

Your profile

  • Qualified degree (MSc, Dipl.-Ing) in mechanical engineering, electrical engineering or similar
  • Good analytical skills combined with problem-solving orientation
  • Interest in AI and in particular in ML techniques
  • Experience in data analysis using Python, R or similar
  • Interpersonal skills with initiative and perseverance
  • Collaborative work in a multidisciplinary team
  • Not afraid of technical writing
  • Fluent in English, German is a plus

Our offer

  • Possibility to elaborate a PhD thesis within an exciting research project
  • Availability of outstanding research infrastructure at the Graz University of Technology campus
  • Excellent possibilities for further personal and professional development
  • Full-time position with a monthly gross salary of € 3.277,-
  • Option to work part-time from home
  • Earliest starting date: February 1st, 2023

 

The LEC supports equal opportunities and diversity. We are looking for dedicated and motivated individuals with research talent.

Kontakt:

Herlinde Kohlmaier
Email: career@lec.tugraz.at