Computer Scientist (f/m/x) - Decision-making in autonomous vehicles

German Aerospace Center (DLR); Bremerhaven; Vor Ort; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

The German Aerospace Center (DLR) in Bremerhaven is seeking a researcher to develop innovative decision-making methods for autonomous unmanned vehicles. You will work on integrating these methods into a situational awareness system for maritime infrastructures.

The ideal candidate holds a Master's degree in Computer Science and has robust knowledge in software development, programming languages, and embedded systems. This position offers the possibility of pursuing a PhD.

Qualifikationen

• Completed scientific university degree in Computer Science or relevant field.
• Good knowledge of software development across various programming languages.
• Experience in setting up and configuring embedded systems.
• Initial experience in designing databases for geodata processing.
• Knowledge of computer networks and networked systems for real-time data.
• Good written and spoken English communication skills.

Aufgaben

• Model decision-making processes of autonomous systems for robustness in operation.
• Implement scientific prototypes of developed methods for sensor-carrying systems.
• Integrate prototypes into mission planning and situational awareness systems.
• Test developed prototypes in laboratory and field environments.

Kenntnisse

C++

Java

Python

Software development

Embedded systems

CI/CD

Geodata processing

Networking

Multi-agent systems

Communication

Ausbildung

Master’s / University Diploma in Computer Science or relevant field

Tools

CMake

Gradle

Cargo

Git

KVM

Docker

Jobbeschreibung

Overview

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 You Can Expect

As a new team member in the Situational Awareness and Cyber Security Group within the Maritime Security Technologies Department, you will research innovative methods for decision-making in autonomous unmanned vehicles on land, at sea and in the air (UxVs). These methods enable reliable and safe operation within networks of systems, even when knowledge of the global state is limited. You will initially develop and test your methods using models, and later using real sensor-carrying systems. To this end, you will also make use of joint testing missions with our partners. By integrating your work into our mission planning and situational awareness system, you will enable the control of the systems and access to the available sensors. This allows for the automatic, reliable and safe execution of data collection missions.

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 are happy to offer you the opportunity to use these topics for a PhD.

Your Tasks

• You will model individual decision-making processes of autonomous systems and, based on this, develop methods for decision-making with a focus on their robustness in operation within a network of systems under conditions of limited knowledge.
• You will implement scientific prototypes of the developed methods for use on various sensor-carrying systems on land, at sea and in the air.
• You will integrate the developed prototypes into our mission planning and situational awareness system and support their further development.
• You will test the developed prototypes in the laboratory and in the field, including as part of joint testing campaigns with our partners.

What You Bring To The Role

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

Remuneration is based on qualifications and assigned duties, up to pay grade 13 under the TVöD (German Civil Service Remuneration Act).

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5185) please contact:

Dr. Jannis Stoppe
Tel.: [phone]

Dr. Maurice Stephan
Tel.: [phone]