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.

What you will do

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. The primary goal of this master’s thesis is to

develop an algorithm that can accurately and efficiently evaluate the sharpness of images captured by

automotive cameras, with focus on traffic signs. Given the increasing reliance on car cameras for

applications ranging from autonomous driving to traffic surveillance, ensuring optimal image clarity is

crucial. Traffic signs, with their standardized design and critical importance for navigation, are ideal

reference points for this process.

What you bring to the table

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++)

basic knowledge of optics including concepts like PSF, MTF, sharpness, aberrations etc.

motivation and ability to work in a team

initiative and creativity

very good grades

What you can expect

versatile and practical projects

professional supervision

motivated teams in an open-minded working atmosphere

a modern research infrastructure and

flexible working hours

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. We are creative.

We shape technology. We design products. We improve methods and techniques. We open up new vistas.

At the institute’s sites in Dresden, Ingolstadt and Berlin, Fraunhofer IVI’s researchers are developing

technologies and concepts for mobility, energy, as well as safety and security – from forward-looking

preliminary research to practical applications in everyday use. The institute collaborates closely with

TU Dresden, TU Bergakademie Freiberg and Technische Hochschule Ingolstadt.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you!

If you have any questions, please contact us stating the reference number IVI-Hiwi-00714.

Contact

Fraunhofer Application Center »Connected Mobility and Infrastructure«

Visiting address

Stauffenbergstrasse 2a

85051 Ingolstadt

Postal address

Technische Hochschule Ingolstadt

Esplanade 10

85049 Ingolstadt

Fraunhofer Institute for Transportation and Infrastructure Systems IVI

Requisition Number : IVI-Hiwi-00714              Application Deadline :