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.

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 (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 held as block events in a team of up 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 below. Contact information can be found in the respective calls for proposals.

Current tenders

  • Alternate recommendation for an AI based assistant in reduced crew operations

    2023/09/11

    Masterthesis

    Background

    Today's aircraft contain a steadily increasing number of highly automated systems. The cockpit crew must have in-depth knowledge about modes of operation of these highly complex systems in order to interact safely in the event of disruptions. At the same time, the range of tasks for today's pilots is expanding beyond safety towards a systems manager and mission optimizer. In this context a reduced cockpit crew also leads to a bottleneck in the information acquisition and processing. The ongoing ViCKI project addresses this challenge through the conceptual realization and demonstration of a virtual crew assistant supported by methods of Artificial Intelligence (AI).

    Supervisor: Johannes Kleudgen, M.Sc.

    Announcement as PDF