Student Aerospace Engineering, Mechanical Engineering, Computer Science or similar (f/m/x)

Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Details

Braunschweig
500 - 1500 € / Monat (geschätzt)

Auf einen Blick

Tätigkeit: Forschungsprojekt zur Verbesserung der Flugleistung durch formverändernde Flügel.
Arbeitgeber: Innovatives Forschungsprojekt mit Schwerpunkt auf fortschrittlicher Luftfahrttechnologie.
Benefits: Möglichkeit zur Mitarbeit an bahnbrechenden Technologien und Forschungsprojekten.
Wieso dieser Job: Arbeite an der Spitze der technologischen Entwicklung mit Fokus auf Nachhaltigkeit und Effizienz.
Qualifikationen: Studium in Luft- und Raumfahrttechnik, Maschinenbau, Informatik oder ähnlichem erforderlich.
Was du noch wissen solltest: Erfahrung mit Flugdynamiksimulationen und Programmierkenntnisse sind vorteilhaft.

Das voraussichtliche Gehalt liegt zwischen 500 - 1500 € pro Monat.

The interdisciplinary research project „morphAIR“ aims to enhance flight performance through shape-changing wings and determine their contribution to improving the efficiency of fixed-wing aircraft. While morphing technologies have been explored extensively in ground and wind tunnel tests, key measurements such as fuel consumption and changes in flight characteristics, which can only be assessed through flight tests, are missing. Furthermore, the integration of AI-based control with morphing technologies remains relatively unexplored but holds significant potential for advancements in flight control and performance.

To achieve these scientific objectives while minimizing risk, scaled flight tests with an unmanned aerial system (UAS) are planned. The test vehicle, designated „Proteus,“ features a wingspan of 2.95 m, a maximum take-off weight of approximately 70 kg, and a maximum flight speed of around 300 km/h. Modifications include variable shape leading and trailing edges using compliant mechanisms, hybrid composite materials, and active material systems. Unconventional shape changes, such as alterations to the wing area, wingspan, winglet position, and aspect ratio, will be designed and tested in the laboratory for potential follow-up projects.

We offer opportunities for student research projects in the following areas:

Modeling:

Extension of the flight dynamics model with faster or higher fidelity methods

Development of a VLM model for morphing wing aerodynamics
Modeling of wind/turbulence/gust effects
Modeling of RC size turbojet
Modeling of sensor noise/drift/etc., from flight experiment data

Simulation:

Extension of the flight simulation with additional functionalities

Development of an HIL interface to connect the simulation environment with physical hardware components
Improvement of the visualization framework
Improvement of computational performance
Validation and verification against other flight simulations

Reinforcement learning based controller:

Development of a reinforcement learning (RL) controller for a UAV with morphing wing shape

Safe learning: Ensure safe operations within defined safety constraints and introduce safety layers to maintain stability
Robustness: Handling of uncertainties with regards to measurements, actuators, and environmental conditions
Energy consumption: Optimized control strategies to reduce induced drag
Training and transfer learning: Development of suitable training environments and scenarios as well as transferring trained RL models from simulation to real-world UAVs

current enrollment in a Bachelor’s or Master’s program in Aerospace Engineering, Mechanical Engineering, Computer Science, or a related field strong interest in flight dynamics, control systems, and artificial intelligence experience with simulation tools and software for flight dynamics good programming skills, particularly in Python or C++ experience with flight control systems, particularly Ardupilot and PX4 ability to work independently and as part of an interdisciplinary team

Payment

Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe XX TVöD.

Informationen zum Bewerbungsverfahren

Gibt es im Bewerbungsprozess ein Assessment Center? : nein

Fähigkeiten der besten Bewerber

Python
C++
Maschinelles Lernen
Künstliche Intelligenz (KI)
Simulation
Modellierung

Student Aerospace Engineering, Mechanical Engineering, Computer Science or similar (f/m/x) Arbeitgeber: Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Unser Projekt bietet eine einzigartige Gelegenheit, an der Spitze innovativer Luftfahrtforschung zu arbeiten. Wir bieten Zugang zu modernsten Technologien und die Chance, in einem dynamischen, interdisziplinären Team bedeutende Fortschritte in der Luftfahrttechnik zu erzielen.