Computer scientist, electrical engineer or similar (f/m/x) - Computer vision for sonar data

German Aerospace Center (DLR); Bremerhaven; Vor Ort; EUR 52.452 - 71.424; Vollzeit

Benefits dieser Stelle

PhD support

TVÖD 13 remuneration

Zusammenfassung

The Institute for the Protection of Maritime Infrastructures at the German Aerospace Center (DLR) in Bremerhaven invites you to join a team developing advanced AI methods to strengthen maritime infrastructure resilience. You will work on generative models and deep learning to analyze underwater acoustic sensor data, and participate in measurement campaigns to validate your methods in real-world conditions.

The role offers opportunities to publish findings, collaborate with researchers and

Qualifikationen

• Completed scientific university degree in IT/Engineering/Physics or related field.
• Experience developing deep learning models in computer vision (e.g. object detection or image generation).
• Knowledge/experience in acoustics, sonar, radar or similar areas.
• Initial publication experience in scientific venues.
• Proficiency in written and spoken English.

Aufgaben

• Develop generative models for simulation of underwater acoustic sensor data and compare with existing approaches.
• Develop deep learning methods for evaluating underwater sensor data and compare with existing approaches.
• Plan and execute measurement campaigns to record datasets for validation of methods.
• Integrate your work into the maritime situational awareness system.

Kenntnisse

Deep learning knowledge

Computer vision/data analysis

English proficiency

Team collaboration

Scientific publishing experience

Ausbildung

Master’s degree in IT/Engineering/Physics

Tools

Python

TensorFlow/PyTorch

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 make them adaptable, safe and sustainable. In close cooperation with partners from research, industry and other maritime security stakeholders, we combine technological innovation with practical expertise and offer you the opportunity to work on pioneering projects.

What To Expect

Are you ready to immerse yourself in a world where your passion for cutting‑edge technology meets the urgent need to protect our maritime world? The Institute for the Protection of Maritime Infrastructure is on a mission and we are looking for brilliant minds like you to join us! Become part of a team dedicated to developing technologies to protect the maritime domain. We work hard to develop new concepts that keep everything from harbours to offshore wind farms secure. As a member of our Maritime Security Technologies team, you can explore innovative solutions that matter to everyone. Today, research in the field of artificial intelligence is essential for analysing sonar data. Here you will develop deep learning methods that improve the evaluation of data from state‑of‑the‑art underwater sensors, as well as generative models for the synthesis of sonar data in order to optimise the training process. You will also be able to test the methods you have developed in a practical environment as part of measurement campaigns. Results from this work will also be integrated into a maritime situational awareness system, ensuring important results are easily available to end users – a major step forward in maritime security. Perhaps you are also thinking about performing PhD studies? At DLR we also support you on your academic path!

Your tasks

• development of generative models for the simulation of data from underwater acoustic sensors, including comparison with existing approaches
• development of deep learning methods for the evaluation of data from underwater acoustic sensors, including comparison with existing approaches
• planning and execution of measurement campaigns to record data sets from underwater sensors needed for validation of the developed methods
• integration of your work into our maritime situational awareness system

Your profile

• completed scientific university degree (university diploma or Master’s degree) in an information technology field (e.g. computer science), engineering field (e.g. electrical engineering), a natural science field (e.g. physics) or other degree programs relevant to the job
• experience in development of deep learning models from the field of computer vision (e.g. object detection or image generation)
• knowledge and experience in acoustics, sonar, radar or expertise in similar areas
• first experiences in publication of scientific findings
• proficiency in written and spoken English

Remuneration is up to the German TVÖD 13 depending on qualifications and assigned tasks.

We look forward to getting to know you! If you have any questions about this position (Vacancy-ID 5623) please contact: Dr. Maurice Stephan Tel.: [phone] Sarah Barnes Tel.: [phone]