Open Opportunities

Here you can find open opportunities including open positions (including PhD positions), projects and potential thesis topics.

Open Position (closing date: 30.09.2021)

PhD Position: we have an open PhD position. The position will develop efficient networks that can be deployed on robots operating in the field. State-of-the-art vision systems predominantly rely on deep learning techniques, however, deploying efficient deep learnt models on robotic platforms is challenging and adaptability to the available resources plays a key role. The candidate will develop accurate and efficient deep learning approaches which are able to adapt to the available resources.

The ideal candidate will have a strong interest in state-of-the-art vision systems and seeing their work deployed on platforms operating in challenging conditions in the field. The candidate should also have strong programming skills (Python or C/C++) and have some experience in Computer Vision/Deep Learning; ROS experience is also considered a plus (but not mandatory).

REQUIREMENTS:

  • Relevant Master’s degree
  • Very good English language skills

HOW TO APPLY: All applications should be sent to cmccool@uni-bonn.de. The application should include:

  • your CV,
  • short letter of motivation,
  • transcripts of records,
  • relevant links (e.g. own website, github, Google Scholar, etc.),
  • link to the PDF file of your MSc thesis, and
  • name/email/phone number of two referees which we can contact.

OTHER INFORMATION AND LINKS

  • Agricultural Robotics Lab: http://agrobotics.uni-bonn.de/
  • Cluster of Excellence PhenoRob: https://www.phenorob.de/
  • University of Bonn: https://www.uni-bonn.de/en?set_language=en
  • Bonn, Germany: https://en.wikipedia.org/wiki/Bonn
  • Salary calculator (in German): http://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2020&g=E_13&s=1&zv=VBL&z=100&zulage=&stj=2020&stkl=1&r=0&zkf=0&kk=15.5%25

Projects

We are running several projects this year. Unfortunately, all of these have now been allocated. These projects include:

  • developing an orchard surveillance robot;
  • plant detection, segmentation and area estimation;
  • fruit tracking and counting;
  • weak learning to enable rapid deployment of vision systems to novel environments; and
  • developing a camera adapted to agricultural applications.