Data science for plant pathology

HboWo Bergschenhoek

What you tell your friends you are doing

“I develop an app for quickly recognizing diseases in plants.”

What you are going to do

As an intern for data science, you will be working with disease recognition and disease quantification application development. You will design and develop digital workflow solutions that help automate imaging data related to plant disease. Next to that you will be developing an app that enables pathology research users to explore, analyze and visualize their imaging data. You will contribute to ongoing plant imaging experiments in pathology, with the use of coding, modeling and the exploration of 3D images. This helps to recognize diseases in plants.

Natural talent

  • A graduate Bsc or MSc student.
  • Experience and knowledge with data handling, coding (Python, R, C++).
  • High interest to work with imaging data.
  • A desire to attain applied research experience.
  • Strong communication- and computer skills.
  • Fluency in English, written as well as spoken.
  • Self-motivated, innovative, independent and results oriented networker.
  • Available from september 2020, for a period of 6 months.

About Bayer Crop Science 

Bayer is an innovative life science company. At Bayer, they seek breakthrough solutions to some of the greatest challenges of our time: good health for all and enough food for a fast-growing world population. In the Benelux, more than 2.300 employees work at 10 different sites.

The division Crop Science focuses on seeds, crop protection and non-agricultural pest control. This is divided into crop protection/seeds and environmental Science. Crop Protection/Seeds has a wide range of high-quality seeds and innovative chemical and organic crop protection products. In addition, they also offer a comprehensive service to support modern and sustainable agriculture. Environmental Science focuses on non-agricultural applications with a wide range of pest control products and support services, both for home/garden and for forestry.

Take your chance

Interested? Apply online. If you would like to have more information feel free to contact Luuck van Kooten via Luuck.vankooten.ext@bayer.com.