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We create the future with 5.800 students in economics and technology and 600 employees. Success in application oriented education, research and executive education is our incentive.

Create this future with us as a 

Research Associate (m/f/d) Predictive Reliability Monitoring of Automotive Electronic Systems (fulltime PhD position)

Centre for Applied Research / Institute for Innovative Mobility

(Reference number P-19/54)

Your responsibilities:

  • Development of approaches for predictive reliability monitoring of automotive sensors
  • Concept and use-case evaluation for predictive reliability monitoring and interactive sensor self-calibration
  • Set-up of measurement system for combined accelerated testing with sensor function monitoring
  • Failure analysis of sensors
  • Development of physics of failure and data driven models for reliability 
  • Analysis of KI and big data approaches for predictive reliability monitoring

Your profile:

  • Master’s degree in electrical engineering, physics, microsystem technology, mechatronics, mechanical engineering, information technologies, math or similar subjects
  • Experiences in signal processing, data evaluation, mathematical modelling and ideally also first 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. November 2021. The remuneration 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
  • a 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 7. May 2019 to For further information contact Prof. Dr. Gordon Elger (


Technische Hochschule Ingolstadt
University of Applied Sciences
Postfach 21 04 54
85019  Ingolstadt

Service Recruiting und Personalentwicklung
Verena Krauß
Telefon 0841 9348–5110

Service Recruiting und Personalentwicklung
Julia Schmidt
Telefon 0841 9348–5088