Job
- Level
- Experienced
- Job Field
- IT, Embedded, Security
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Bremerhaven
- Working Model
- Onsite
Job Summary
In this role, you will research innovative decision-making methods for autonomous systems. You will develop and test techniques both in models and in practice to ensure safety and reliability within networks of unmanned vehicles.
Job Technologies
Your role in the team
- 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 pursue a PhD using these topics.
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Our expectations of you
Education
- A completed scientific university degree (Master's / University Diploma) in Computer Science or another relevant field
Qualifications
- Good knowledge of software development, i.e., various programming languages (imperative, object-oriented, functional; at least C++ as well as Java or Python), 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, virtualization (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
Experience
- 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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What we offer
- Remuneration is based on qualifications and assigned duties, up to pay grade 13 under the TVöD (German Civil Service Remuneration Act).
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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
Workingconditions
4.2Career Growth
2.8Engineering
3.1Culture
3.5
Computer Scientist - Decision-making in autonomous vehicles
- Location
- Bremerhaven
- Working Model
- Onsite
- Diversity
- Open for all genders
