Student of computer science, systems engineering, mathematics, or similar (f/m/x)

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DLR as an employer

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DLR as an employer

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Student of computer science, systems engineering, mathematics, or similar (f/m/x)

Job Description

Req ID: 6481

Place of work: Bremerhaven

Starting date: immediately

Career level: Student employment

Type of employment: Part time

Duration of contract: initially for a fixed term

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund).

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

At the Institute for the Protection of Maritime Infrastructures in Bremerhaven, we research and develop innovative solutions to strengthen the resilience of maritime infrastructures and to make them adaptable, secure, and sustainable. In close collaboration with partners from research, industry, and other stakeholders in maritime security, we combine technological innovation with practical expertise, offering you the opportunity to contribute to future-oriented projects.

What to expect

During your employment you will be working on a project that combines artificial intelligence, computer vision and maritime technology. You will work with vision foundation models, object detection, image segmentation and predictive uncertainty quantification. Depending on your interests and study program, the work can also provide a strong basis for a Bachelor's or Master's thesis.

We are looking for a person who will grow with us and will fit to our international, interdisciplinary .

Your tasks

Develop and evaluate state-of-the-art AI methods for real-world maritime video

Implement and benchmark approaches for object detection, segmentation and uncertainty quantification

Analyze how well these methods perform under challenging maritime conditions

Your profile

Currently enrolled student in a university or in a university of applied science in a relevant field

Python skills and an interest in AI and computer vision

Experience with PyTorch, computer vision algorithms and Linux are an advantage

Reasonable spoken and written skills in English – B2 level or higher

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 6481) please contact:

Prof. Dr. Frank Sill Torres

Tel.:

Apply now

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