Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Bremerhaven
- Working Model
- Onsite
Job Summary
In this role, you will develop innovative methods for fusing underwater acoustic data with vessel movement data to detect security anomalies early and create a comprehensive situational picture.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- A completed academic degree (Master's / Diploma) in Computer Science, Software Engineering or another relevant discipline.
Qualifications
- 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.
Experience
- 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).
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What 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.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Deutsches Zentrum für Luft- und Raumfahrt eV.
As one of the leading research centers in the field of aerospace in Germany, DLR offers its approximately 8,700 employees the unique diversity of topics in aviation, spaceflight, energy, traffic, security and digitalization.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Agriculture, Silviculture
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.4
Career Growth
2.8Workingconditions
4.2Engineering
3.1Culture
3.5
Computer Scientist - Real Time Data Fusion
- Location
- Bremerhaven
- Working Model
- Onsite
- Diversity
- Open for all genders
