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

German Aerospace Center (DLR); Bremerhaven; Vor Ort; EUR 18.000 - 24.000; Teilzeit

Zusammenfassung

German Aerospace Center (DLR) in Bremerhaven is seeking a motivated student to work on AI and computer vision for maritime video analysis. You will develop and evaluate state-of-the-art methods, implement object detection, segmentation and uncertainty quantification, and assess performance in challenging maritime conditions.

The role is ideal for combining work with a Bachelor's or Master's thesis. Ideal candidates are enrolled in a relevant program, proficient in Python and PyTorch, comfortable

Qualifikationen

• 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.

Aufgaben

• Develop and evaluate AI methods for real-world maritime video.
• Implement and benchmark approaches for object detection, segmentation and uncertainty quantification.
• Analyze performance under challenging maritime conditions.

Kenntnisse

Python

PyTorch

Computer vision

Linux

English (B2)

Ausbildung

Currently enrolled student (Bachelor/Master)

Tools

Vision foundation models

Image processing

Jobbeschreibung

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 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.: [phone]