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With 5800 students in economics and technology and 600 employees, we are shaping the future. We are driven by success in practice-oriented teaching, applied research and continuing academic education.

Create this future with us as a 

Research Associate (m/f/d)

Predictive Health Monitoring of Electronic Systems
(fulltime PhD position)

Centre for Applied Research / Institute for Innovative Mobility

(Reference number P-19141/THI/02)

Electronic systems like optoelectronic sensors, control units and high performing supercomputers are key components for autonomous driving. To guarantee failure free performance of safety relevant components state monitoring and prognostic health management will become a key enabler. The research team “microelectronic packaging” of the Institute of Innovative Mobility at the Technische Hochschule Ingolstadt (THI) focuses on reliability of electronics for automotive application. Important research fields of the team are non-destructive test method development, realization of test systems for combined accelerated stress testing with state monitoring for reliability assessment. In addition to the analysis of the physical failure modes and their modelling for lifetime prediction artificial intelligence, e.g. data driven analysis and machine learning, gains more and more importance. The vision of the team is to realize pre-dictive health monitoring based on the remaining useful life assessment for the electronic components which is obtained by hybrid prediction models.     

Your responsibilities:

  • Development of approaches for lifetime prediction and predictive health monitoring of automotive electronics
  • Concept and use-case evaluation for predictive health monitoring of optoelectronic sensor using calibration algorithms based on data fusing
  • Failure analysis of sensors
  • Evaluation of KI and big data approaches for lifetime prediction (Remaining Useful Time, RUL)
  • Development of hybrid models (combined physics of failure and data driven models for lifetime prediction 

Your profile:

  • Master’s degree in electrical engineering, physics, mathematics, microsystem technology, mechatronics, mechanical engineering, information technologies or similar subjects
  • Experiences in signal processing, data evaluation, mathematical modelling and ideally also experiences in artificial intelligence
  • Experience in sensor technology and sensor design
  • Experiences in programming languages (ideally C++, Python)
  • Self-driven, creative, ambitious, proactive, team orientated

This is a temporary full-time position initially limited until 30. September 2022. The remunera-tion shall be in line with the German industrial agreement TV-L salary group 13. An extension of the position is aspired. The possibility of a cooperative doctorate will be supported.

We offer:

  • a modern workplace in central location
  • family-friendly working conditions with flexible working hours
  • an exciting and lively working environment
  • extensive learning an training opportunities

Part-time work is basically possible for all our positions if these are staffed full-time through job-sharing. 

Individuals with disabilities of the same suitability will be favoured for these positions. We expressly welcome applications from women (Section 7 Subsection 3 BayGIG (Bavarian Women’s Equality Law)).

Electronic applications are requested. Please send your detailed portfolio (Curriculum Vitae, copies of certificates and supporting documents about former employment) stating the reference number as a PDF file by 20. September 2019 to For further information contact Prof. Dr. Gordon Elger (