Computer Scientist - Decision-making in autonomous vehicles

Deine Rolle im Team

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Ausbildung

• A completed scientific university degree (Master's / University Diploma) in Computer Science or another relevant field

Qualifikationen

• Good knowledge of software development, i.e. various programming languages (imperative, object-oriented, functional; at least C++ as well as Java or Python), of data structures, algorithms, software architectures, software development processes and software development tools, in particular build tools (e.g. CMake, Gradle, Cargo), version control (Git), test environments, virtualisation (e.g. KVM, Docker), collaboration and CI/CD (e.g. GitLab)
• Knowledge of the technical and conceptual fundamentals of computer networks, as well as the development of networked systems for the processing of real-time data
• Knowledge of the mathematical and conceptual fundamentals of probabilistic, logic-based and data-driven methods for decision-making under uncertainty, as well as the technical and conceptual fundamentals of multi-agent systems
• Good written and spoken English, as well as the ability to communicate complex research findings clearly and precisely

Erfahrung

• Experience in setting up and configuring embedded systems, as well as in the design and implementation of software for safety-critical embedded systems, for example for UUVs or other UxVs, and in the administration of Linux systems
• Initial experience in the design and optimisation of databases for the processing of geodata

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