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- Aufgaben: Join our team to develop cutting-edge navigation algorithms for space missions and spacecraft.
- Arbeitgeber: The Institute of Space Systems in Bremen is a leader in spacecraft design and analysis.
- Mitarbeitervorteile: Enjoy opportunities for international collaboration, research projects, and hands-on experience in advanced technologies.
- Warum dieser Job: Be part of exciting projects like ReFEx and CALLISTO, shaping the future of space exploration.
- Gewünschte Qualifikationen: Master's degree in aerospace engineering, control engineering, or related fields; programming skills in C/C++ and MATLAB.
- Andere Informationen: Fluency in English is required; knowledge of German is a plus.
Das voraussichtliche Gehalt liegt zwischen 48000 - 72000 € pro Jahr.
- Development of strapdown integration algorithms for inertial measurements in scenarios such as space transportation, operation in the vicinity of Earth and other planetary bodies, and landing on the Moon, Mars, and asteroids.
- Development of navigation filters/data fusion algorithms with the focus on the combination of inertial measurements and measurements of GNSS receivers, cameras, star trackers, altimeters, Sun sensors, etc.
- Development of algorithms and procedures for post-processing of mission data and for health monitoring of sensors and navigation systems.
- Modelling of realistic environments, dynamics, and sensor signals.
- Full characterization of inertial sensors.
- Integration and utilization of sensors such as cameras, IMUs, etc. in a real-time environment.
- Project/activity results documentation, presentation, and publication.
- Commitment to group activities such as maintenance and development of laboratories, development and improvement of procedures, knowledge management, or acquisition of external funding.
successfully completed university degree on master\’s level or equivalent (according to § 7 II Tarifvertrag über die Entgeltordnung des Bundes – TV EntgO Bund) in the domain of aerospace/space engineering, control engineering, mathematics, computer science, or similar practical experience in methods of sensor data fusion and state estimation (Kalman-Filter) knowledge in the area of inertial navigation and GNSS navigation good programming skills in C, C++, MATLAB/Simulink fluent in written and spoken English, ideally with work experience abroad experience with scientific publications (articles in peer-reviewed journals, conference contributions, etc.)
Gewünschte Qualifikationen
conformance with the personal requirements for handling of export controlled goods and information according to German, European and American export control laws willingness to domestic and international travels on official business practical experience with methods of inertial navigation is desired (e.g. modelling of space vehicle dynamics; modelling of inertial sensors; strapdown integration algorithms in different types of reference frames; estimation of sensor parameters) experience in modelling complementary sensors such as GNSS receivers, cameras, star trackers, altimeters, Sun sensors is a plus experience in methods of parameter estimation is advantageous experience in handling hardware is ideal PhD in the area of INS/GNSS navigation is an advantage supervision of Bachelor or Master theses desirable mastery of written and spoken German is an advantage
Payment
Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe 13 TVöD.
Engineer Aerospace/Space Engineering, Control Engineering, Mathematics or similar (f/m/x) Arbeitgeber: Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Kontaktperson:
Deutsches Zentrum für Luft- und Raumfahrt (DLR) HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Engineer Aerospace/Space Engineering, Control Engineering, Mathematics or similar (f/m/x)
✨Tip Number 1
Fokussiere dich auf deine praktischen Erfahrungen mit Sensorfusion und Zustandsabschätzung. Bereite konkrete Beispiele vor, die zeigen, wie du Kalman-Filter oder ähnliche Methoden in Projekten angewendet hast.
✨Tip Number 2
Zeige dein Interesse an internationalen Projekten, indem du dich über die aktuellen Forschungsprojekte wie ReFEx oder CALLISTO informierst. Das zeigt, dass du proaktiv bist und dich für die Arbeit im internationalen Kontext interessierst.
✨Tip Number 3
Betone deine Programmierkenntnisse in C, C++ und MATLAB/Simulink. Wenn du an relevanten Projekten gearbeitet hast, sei bereit, diese Erfahrungen zu teilen und zu erläutern, wie du diese Fähigkeiten in der Praxis eingesetzt hast.
✨Tip Number 4
Wenn du wissenschaftliche Veröffentlichungen hast, bereite eine kurze Zusammenfassung deiner Arbeiten vor. Dies kann dir helfen, deine Forschungskompetenz zu demonstrieren und zeigt, dass du in der Lage bist, komplexe Themen verständlich zu kommunizieren.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Engineer Aerospace/Space Engineering, Control Engineering, Mathematics or similar (f/m/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the specific tasks and qualifications required for the position. Tailor your application to highlight relevant experiences and skills that align with the responsibilities of the role.
Highlight Relevant Experience: In your CV and cover letter, emphasize any practical experience you have in sensor data fusion, state estimation, and programming skills in C, C++, or MATLAB/Simulink. Provide concrete examples of projects or research that demonstrate your expertise in these areas.
Showcase Your Research Skills: If you have experience with scientific publications, make sure to mention it. Include details about articles you've written or conferences you've contributed to, as this will show your ability to communicate complex ideas effectively.
Tailor Your Application Documents: Customize your CV and cover letter for this specific position. Use keywords from the job description and ensure that your documents reflect your understanding of the GNC Systems Department's focus areas and projects.
Wie du dich auf ein Vorstellungsgespräch bei Deutsches Zentrum für Luft- und Raumfahrt (DLR) vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in C, C++, and MATLAB/Simulink. Highlight any relevant projects or experiences where you applied these skills, especially in the context of sensor data fusion and state estimation.
✨Demonstrate Your Knowledge of Navigation Systems
Familiarize yourself with inertial navigation and GNSS navigation concepts. Be ready to explain how you've applied these methods in past projects or studies, and discuss any experience you have with Kalman filters.
✨Discuss Your Research Experience
If you have experience with scientific publications, be sure to mention it. Talk about any articles you've written or conferences you've attended, as this shows your commitment to the field and your ability to communicate complex ideas.
✨Prepare for Practical Scenarios
Think about real-world applications of your skills, such as modeling space vehicle dynamics or integrating sensors in a real-time environment. Be ready to discuss specific scenarios where you've successfully implemented these techniques.
