At the Institute for AI Safety & Security, we research and develop AI-related methods, processes, algorithms, technologies and execution and system environments. Our focus is on safe and standard-compliant AI, cyber security in open data and service ecosystems and AI, as well as autonomous mobility and logistics facilitation.
The Institute for AI Safety and Security makes indispensable contributions to the responsible market launch of ambitious AI-based products, primarily for ground-based transport systems - road, rail and water - and beyond.
The future challenges for national and international economic actors in the field of mobility and transportation are inextricably linked to reliable and safe AI applications. One area of particular importance is the AI-based perception of the environment by automated vehicles, which is one of the foundations for safe and secure mobility systems. Equally important is the trustworthy consolidation of heterogeneous and distributed data sets from different actors in the fields of mobility, transport, energy and smart cities. Through this collaboration we enable intermodal mobility and logistics solutions that are essential for tomorrow's challenges.
What specialities are we looking for?
Computer science
Mathematics
Physics
Engineering sciences
Natural sciences
We offer a unique research environment where experts from different disciplines work together. Using large data sets from DLR's large-scale research facilities, researchers can develop innovative AI applications and help shape the future of mobility.
Our research ranges from security-critical data infrastructures to optimising human-AI interactions, and is organised around five key areas:
AI Engineering: focusing on increasing the resilience, cost-effectiveness and interactivity of AI systems.
Algorithms & Hybrid Solutions: Developing safe AI that balances society, people and technology.
Safety-critical Data Infrastructures: Requirements for secure data exchange and robust AI applications in industry and research.
Execution Environments & Innovative Computing Methods: Attack-proof and robust AI by securing the entire execution system
Business Development & Strategy: Interdisciplinary foundations for trustworthy AI, social acceptance and technology transfer.
As an employer, the Institute offers the opportunity to work at the forefront of AI research, to drive innovation and to contribute to the mobility of the future through interdisciplinary collaboration.
What drives us at the DLR Institute for AI Safety and Security
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What drives us at the DLR Institute for AI Safety and Security
