MOBILITY IS YOUR PASSION AND WORKING INDEPENDENTLY IS YOUR STRENGTH? DO YOU WANT TO USE AND EXPAND YOUR PROGRAMMING SKILLS AND YOUR MACHINE LEARNING ABILITIES IN PRACTICE? THEN COME START YOUR CAREER WITH US AT FRAUNHOFER IVI BY WRITING A
Thesis (Master): Person recognition and anonymization

At the Fraunhofer Application Center »Connected Mobility and Infrastructure«, we investigate and develop concepts to design the mobility of the future in a safer, more efficient and resource-saving way. We are dedicated to current research questions on automated and cooperative driving and combine a wide range of competencies in the fields of sensor technology, communication and artificial intelligence. In the process, we use synergies with local industry and work closely with the city of Ingolstadt and its partners.

For our current research projects, we are looking for motivated students who would like to write their final thesis in the field of machine learning / computer vision.

Within the scope of the thesis(es), algorithms for the accurate and reliable anonymization of persons and personal data are to be developed and adapted. Furthermore, reliable object and person recognition should be achieved and completed by project-relevant deep learning applications. The work is highly relevant to us due to its focus on reliable anonymization, especially with regard to the data protection laws currently in force in Germany, and thus represents important building blocks for research and development in the field of autonomous mobility.

What we expect from you

  • enrolled in one of the following or related fields of study: Data Science, Electrical and Information Engineering, Physics, Aeronautical and Automotive Engineering, Computer Science, Mathematics or Mechanical Engineering
  • strong background in machine learning, deep learning and/or computer vision
  • good programming skills in Python (and C++)
  • experience with Tensorflow, Pytroch, object recognition and classification (including theoretical background)
  • desirable: initial experience with algorithms such as Mask R-CNN, RMPE, OpenPose or similar
  • motivation and ability to work in a team
  • initiative and creativity
  • very good grades

What you can expect from us

  • versatile and practical projects
  • professional supervision
  • motivated teams in an open-minded working atmosphere
  • a modern research infrastructure and
  • flexible working hours

In case of identical qualifications preference will be given to severely disabled candidates.
We would like to point out that the chosen job title also includes the third gender.
The Fraunhofer-Gesellschaft emphasises gender-independent professional equality.

Fraunhofer is Europe’s largest application-oriented research organization. Our research efforts are geared entirely to people’s needs: health, security, communication, energy and the environment. As a result, the work undertaken by our researchers and developers has a significant impact on people’s lives. We are creative. We shape technology. We design products. We improve methods and techniques. We open up new vistas.

Henri Meeß
henri.meess@ivi.fraunhofer.de
Phone +49 (0) 172 5169897

Fraunhofer Application Center »Connected Mobility and Infrastructure«

Visting address
Stauffenbergstraße 2a
85051 Ingolstadt

Postal address
Technische Hochschule Ingolstadt
Esplanade 10
85049 Ingolstadt

Job Reference: IVI-HIWI-00666 Closing Date:
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