PhD position with research focus on condition monitoring of key power unit components using acoustic emissions and machine learning (m/f/d)

The operational safety, efficiency and emissions of large internal combustion engines (ICE) in power generation and transportation applications depend greatly on the reliable operation of key power unit components such as hydrodynamic sliding bearings. To avoid out-of-spec function, catastrophic failure or unforeseen engine downtime, it is therefore vital to continuously assess the condition of components or the entire engine. Acoustic emission (AE) analyses have been demonstrated to yield valuable insights in a non-invasive manner. However, these analyses present a significant challenge. For the research area “Simulation-based Development”, we are therefore seeking a motivated and innovative PhD student to develop data-driven strategies for condition monitoring of key power unit components in large ICEs using AE analyses, in particular by employing advanced methods from the field of artificial intelligence (AI) and its subfield machine learning (ML).

Responsibility

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 from 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

Your profile

Qualified degree (MSc) in mechanical engineering, electrical engineering, physics 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

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 € 3,578.80 (14 times p.a.)

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