Thesis (Master) algorithm development for in-field sharpness measurement using traffic signs

TN Germany; Ingolstadt; Vor Ort; EUR 20.000 - 30.000; Vollzeit

Zusammenfassung

A leading research organization in Ingolstadt seeks motivated students for a master's thesis in algorithm development for sharpness measurement using traffic signs. The role involves machine learning and computer vision, contributing to future mobility solutions. Candidates should have a strong academic background and programming skills.

Leistungen

Professional supervision

Flexible working hours

Modern research infrastructure

Qualifikationen

• Enrolled in relevant fields of study.
• Strong background in machine learning and computer vision.
• Good programming skills in Python and C++.

Aufgaben

• Develop an algorithm for evaluating image sharpness of traffic signs.
• Work on machine learning and computer vision projects.
• Collaborate with teams on practical research.

Kenntnisse

Machine Learning

Deep Learning

Computer Vision

Programming

Ausbildung

Data Science

Electrical and Information Engineering

Physics

Aeronautical and Automotive Engineering

Computer Science

Mathematics

Mechanical Engineering

Tools

Python

C++

Jobbeschreibung

Social network you want to login/join with:

Thesis (Master) algorithm development for in-field sharpness measurement using traffic signs, Ingolstadt

col-narrow-left

Client:

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

4a572e4c3cc9

Job Views:

1

Posted:

11.05.2025

Expiry Date:

25.06.2025

col-wide

Job Description:

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«

Fraunhofer Institute for Transportation and Infrastructure Systems IVI