PhD position with research focus on condition monitoring of key power unit components using acoustic emissions and machine learning
LEC GmbH
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published on
Feb 11, 2025 05:28 PM
- Get familiar with large ICE condition monitoring processes
- Develop in-depth knowledge of acoustic emission analysis and related AI/ML techniques
- Gain practical knowledge of how to obtain acoustic emission or similar data experimental investigations or engine tests
- Support in generating a comprehensive database
- Identify and evaluate data-driven approaches which serve to establish condition monitoring applications
- Analyze the data obtained and realize data-driven approaches for condition monitoring of key power unit components
- 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
- 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
- Qualified degree (MSc) in mechanical engineering, electrical engineering, physics or similar
- Availability of outstanding research infrastructureat the Graz University of Technology campus
- Option to work part-time from home

- Employment type
- full time
- Start of work
- starting immediately / by arrangement
- Fixed term
- unbefristet
- Wages
- 3,714.8 EUR / month
- Hours per week
- 40.0
- First and last name
- Helga Kalunder-Woltsche
- Organization
- LEC GmbH
- helga.kalunder-woltsche@lec.tugraz.at
- Street
- Inffeldgasse 19
- City
- 8010 Graz
- Phone number
- 031687330105
- Homepage
- https://www.lec.at