Vacancies

AI-REEFSHIELD Thesis Topics

Ausschreibungen Abschlussarbeit

Artificial oyster reef monitoring in underwater environments is crucial for assessing ecosystem restoration efforts that are needed to compensate for building offshore windfarms. Autonomous monitoring by a lightweight AUV remains a technically demanding task. Harsh visibility conditions, varying currents, and limited data availability pose major challenges to both navigation and perception tasks.

Figure 1: AI-Reefshield targets an informed explainable active perception monitoring framework.

Traditional learning approaches generally rely on large amounts available data, require high domain knowledge as well as fast and accurate simulators yet still often fail to generalise sufficiently well and provide uninterpretable black box models.
These and more challenges will be tackled in the research project AI-REEFSHIELD allowing several exciting possibilities for bachelor and master theses in the following fields:

  • Reinforcement Learning
  • Computer Vision/Perception
  • Explainable AI

If you are interested in preparing your thesis on one of these general topics within the AI-REEFSHIELD project, please do not hesitate to reach out to Rebecca Adam (rebecca.adam[at]dfki.de) and Melvin Laux (melvin.laux[at]uni-bremen.de).
 

Contact:
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Robotics Innovation Center
Robert-Hooke-Str. 1
28359 Bremen, Germany
www.dfki.de/ric
Rebecca Adam
rebecca.adam[at]dfki.de

Universität Bremen
Melvin Laux
laux[at]uni-bremen.de

 

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last updated 02.10.2025