Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Bremerhaven
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In diesem Job entwickelst du innovative Methoden zur Fusion von akustischen Unterwasserdaten mit Bewegungsdaten von Schiffen, um Sicherheitsanomalien frühzeitig zu erkennen und ein umfassendes Situationsbild zu schaffen.
Job Technologien
Deine Rolle im Team
- As a new team member in the Situational Awareness and Cybersecurity Group within the Maritime Security Technologies Department, you will research and develop innovative methods for fusing underwater acoustic data from fibre-optic sensors (DAS) with vessel movement data from AIS, satellites, drones and radar systems.
- Your work will aim to detect security anomalies in the maritime domain at an early stage and integrate these into a combined surface and underwater situational picture.
- You will plan and implement research projects to develop and evaluate AI-based algorithms for anomaly detection in heterogeneous, spatially and temporally distributed sensor data.
- In doing so, you will utilise unsupervised learning, autoencoders, isolation forests and active learning to identify even unknown threat patterns in near real time.
- Through your work, you will actively contribute to the creation of a robust, adaptive and decision-supporting situational awareness system for maritime infrastructure - directly linking fundamental research, technological innovation and practical application.
- We would be happy to offer you the opportunity to use these topics for a PhD.
Unsere Erwartungen an dich
Ausbildung
- A completed academic degree (Master's / Diploma) in Computer Science, Software Engineering or another relevant discipline.
Qualifikationen
- Strong knowledge of machine learning, particularly unsupervised learning, anomaly detection, time series analysis and their application to sensor data, for example data from DAS or other hydroacoustic systems.
- Initial scientific publications or presentations in the field of AI and data fusion.
- Good written and spoken English, as well as the ability to communicate complex research findings clearly and precisely.
Erfahrung
- Experience in developing efficient algorithms and data structures for data-intensive real-time applications.
- Practical experience in sensor data fusion, the analysis of large, heterogeneous datasets, and the integration of geodata and time series into geographic information systems (GIS) or real-time data pipelines.
- Programming skills in C++ and Python, as well as experience with data structures, algorithms, software architectures and development tools (e.g. CMake, Git, Docker, CI/CD).
Unser Angebot
- 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.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Deutsches Zentrum für Luft- und Raumfahrt eV.
Das DLR ist das führende Forschungszentrum für Luft- und Raumfahrt sowie die Raumfahrtagentur der Bundesrepublik Deutschland. Rund 8.700 Mitarbeiterinnen und Mitarbeiter forschen gemeinsam an einer einzigartigen Vielfalt von Themen in Luftfahrt, Raumfahrt, Energie, Verkehr, Sicherheit und Digitalisierung.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Land-, Forstwirtschaft
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Computer Scientist - Real Time Data Fusion
- Ort
- Bremerhaven
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
