Research Assistant

• Design of the GNC systems for rendezvous and docking with main focus on the navigation part
• Development of visual-based navigation algorithms and implementation of flight software code
• Validation and verification of GNC software by software- and hardware-in-the-loop testing
• Development, validation and operations of rendezvous and docking GNC testing in our facility including an air-bearing table, two robotic arms and reproduction of in-orbit-representative lighting and background conditions
• Supervision of students in the context of student projects as well as final theses
• Contributing to proposal preparations for third party-funded projects
• Writing project documentation and scientific publications

• Successfully completed scientific university studies (Diplom, Master or equivalent) in the STEM field dealing with space formation flying and visual-based navigation
• Experience in designing and implementing algorithms for visual-based navigation, including feature detection, image processing, pose estimation and tracking techniques using visual data from cameras or other sensors
• Experience with state estimation algorithms and Kalman filters for spacecraft navigation
• Experience in development and testing of guidance, navigation, and control systems
• Proficiency in C/C++ software development and testing
• Good knowledge of German and/or English required; willingness to learn either German or English is expected
• Solid hands-on project experience on visual-based navigation desirable
• Experience in setting up and running a laboratory is a plus
• Familiarity with Python and ROS software development and testing, and embedded programming is a plus
• Experience in supervising or contributing to student projects is a plus

Please send your application, stating the reference number, with the usual documents (summarized in a PDF document, max. 5 MB) exclusively by e-mail to: Prof. Dr. Enrico Stoll via sergio.de.florio@tu-berlin.de.

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.