Monocular Depth Estimation Expert for Autonomous Drones

vor 4 Wochen


Ingolstadt, Bayern, Deutschland Fraunhofer-Gesellschaft Vollzeit

The Fraunhofer Application Center for Connected Mobility and Infrastructure at the Technische Hochschule Ingolstadt focuses on current and future topics of automated and cooperative driving. Our research combines diverse competences in the fields of sensor technology, communication, and artificial intelligence, fostering synergies with the local industry and aiming for close cooperation with the city of Ingolstadt and its partners.

We are looking for excellent students who would like to write their thesis in the area of Computer Vision and Deep Learning. The thesis will develop cutting-edge methods for monocular depth estimation, which will be applied in the environment perception of autonomous drones.

Key responsibilities include:

  • Developing advanced methods for monocular depth estimation
  • Applying deep learning techniques to improve environment perception
  • Collaborating with our research team to integrate the developed methods into autonomous drones

Requirements:

  • Student of Computer or Data Science, Mathematics, Physics, Electrical and Information Engineering or similar
  • Strong background in Deep Learning and Computer Vision
  • Excellent academic performance
  • Very good programming skills in Python
  • Experience with frameworks like PyTorch and/or TensorFlow

We offer:

  • Challenging tasks in cutting-edge and application-relevant subject areas
  • Interdisciplinary research on promising technologies
  • Professional supervision
  • Adequate remuneration
  • A modern research infrastructure
  • Flexible working hours
  • A young, dynamic team in an open and friendly working environment

Fraunhofer is Europe's largest application-oriented research organization. Our research efforts are geared entirely to people's needs: health, security, communication, energy, and the environment. We are creative, shape technology, design products, improve methods and techniques, and open up new vistas.



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