Student Research

If you are interested in writing a thesis with a topic from the area of aeronautics, aviation, systems engineering, machine learning or space sysems, consider writing your thesis at our institute. In projects with our partners from the industry, public funded projects and DFG financed research we cover a broad spectrum of topics and are always looking for student assistance.

Current tenders 🖊️

  • Integration of anomalies into a UAV simulation environment

    2026/05/21

    Masterthesis, Advanced Design Project (ADP)

    Unmanned Aerial Vehicles (UAVs) operate (autonomously) in unpredictable environments, where unexpected faults can compromise safety and mission success. Traditional monitoring relies on labeled fault data, which is difficult to obtain due to the rarity and variety of real failures. As UAVs integrate high-dimensional sensors, manual inspection and rule-based methods can no longer capture subtle, evolving anomalies. With longer autonomous missions, early detection of abnormal behavior is essential to prevent catastrophic outcomes and ensure reliable UAV operation.

    Supervisor: Florian von Beren Coors, M.Sc.

    Announcement as PDF

  • Systematic literature review on state of the art methods to interpret machine learning algorithms

    2026/05/20

    Masterthesis, Bachelorthesis

    Unmanned Aerial Vehicles (UAVs) operate (autonomously) in unpredictable environments, where unexpected faults can compromise safety and mission success. Traditional monitoring relies on labeled fault data, which is difficult to obtain due to the rarity and variety of real failures. As UAVs integrate high-dimensional sensors, manual inspection and rule-based methods can no longer capture subtle, evolving anomalies. With longer autonomous missions, early detection of abnormal behavior is essential to prevent catastrophic outcomes and ensure reliable UAV operation.

    Supervisor: Florian von Beren Coors, M.Sc.

    Announcement as PDF

  • Systematic literature review on self supervised learning in context of unmanned aerial vehicles and beyond

    2026/05/20

    Masterthesis, Bachelorthesis

    Unmanned Aerial Vehicles (UAVs) operate (autonomously) in unpredictable environments, where unexpected faults can compromise safety and mission success. Traditional monitoring relies on labeled fault data, which is difficult to obtain due to the rarity and variety of real failures. As UAVs integrate high-dimensional sensors, manual inspection and rule-based methods can no longer capture subtle, evolving anomalies. With longer autonomous missions, early detection of abnormal behavior is essential to prevent catastrophic outcomes and ensure reliable UAV operation.

    Supervisor: Florian von Beren Coors, M.Sc.

    Announcement as PDF

  • Systematic Literature Review on identification and isolation techniques for data based anomaly detection algorithms in complex systems

    2026/05/20

    Masterthesis, Bachelorthesis

    Unmanned Aerial Vehicles (UAVs) operate (autonomously) in unpredictable environments, where unexpected faults can compromise safety and mission success. Traditional monitoring relies on labeled fault data, which is difficult to obtain due to the rarity and variety of real failures. As UAVs integrate high-dimensional sensors, manual inspection and rule-based methods can no longer capture subtle, evolving anomalies. With longer autonomous missions, early detection of abnormal behavior is essential to prevent catastrophic outcomes and ensure reliable UAV operation.

    Supervisor: Florian von Beren Coors, M.Sc.

    Announcement as PDF

For many of the work carried out by us there is no prefabricated task but we assign them individually: After your inquiry we can find a task in a personal conversation that fits your interests. Contact us – contact information of the respective contact persons can be found on the pages about our research fields.

In individual cases we also supervise bachelor and master theses in cooperation with our partners from industry. Prerequisites for the performance of such work can be found in this summary (PDF file) (opens in new tab). If you are planning an external thesis please contact us with sufficient lead time so that we can review your request.

ADPs/ ARPs are usually carried out in a team of 4 to 8 students and with a task set in cooperation with one of our partners from industry. You can contact us as a team or as an individual in response to our calls for proposals presented above. Contact information can be found in the respective calls for proposals.

More information about ADPs