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 continuing academic education.

Create this future with us as a 

Research Associate (m/f/d)

Data Fusion
(fulltime PhD position)

Centre for Applied Research / Institute for Innovative Mobility

(Reference number P-19/12)

Your responsibilities:

  • Development of new approaches for environment perception
  • Cooperative and competitive data fusion of sensors (lidar, radar, camera)
  • Evaluation of central and decentral data fusion on different data levels (object list and raw data based)
  • Evaluation and testing of new sensors 

Your profile:

  • Master’s degree in electrical engineering, information technologies, mathematics, physics, or similar subjects
  • Experience in digital signal processing and statistics
  • Experiences in programming languages (ideally C++, Python)
  • Experience in sensor technology and sensor design
  • Experiences in modelling of complex application
  • Ideally experiences in Roboter Operating System (ROS)
  • Ideal but not mandatory would be experience in machine learning
  • Self-driven, creative, ambitious, proactive, team orientated
  • Structured work methods and scientific approach
  • English fluently (written and spoken) and ideally also German

This is a temporary full-time position for three years starting 01. April 2019. 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. The position can only be filled depending on the approval of project funding.

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