Innovative. Open-minded. Responsible.

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 continu-ing academic education.

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-19/08)

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 28. February 2019 to For further information contact Prof. Dr. Gordon Elger (


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

Service Personal/ Organisation
Johannes Reile (Leitung)
Telefon 0841 9348–5230

Service Personal/ Organisation
Verena Krauß
Telefon 0841 9348–5110