Research Scientist in Sugar Beet Research

Georg-August University Institute of Sugar Beet Research

Research Scientist (PhD-student) (m/f/d)

Einrichtung: Institute of Sugar Beet Research (IfZ) (ID 15984)

Ansprechpartner: Prof. Dr. Anne-Katrin Mahlein

Besetzungsdatum: 01.02.2022

Veröffentlichungsdatum: 10.01.2022

The Institute of Sugar Beet Research (IfZ) associated with the Georg-August University is a nationally and internationally active research institution in Germany and aimed at developing concepts for sustainable sugar beet production.

Within the cluster of excellence PhenoRob ( funded by the German research foundation, we are seeking for a

Research Scientist (PhD-student) (m/f/d)

for employment (65%) limited to three years, beginning February 1st, 2022 / as soon as possible. Payment will be according to TV-L 13. The successful candidate obtains the chance to perform PhD-studies within the project.

The research project aims to perform below- and above ground phenotyping of multiple stress in sugar beet by an integrated approach of MRI and PET imaging with hyperspectral imaging and machine learning. Sugar beet plants will be exposed to biotic stress by the disease syndrome basses richesses and as abiotic stress to drought. The physiological response and crop-stress interaction will be assessed by innovative sensor technologies.
In the cluster of excellence PhenoRob, the research project is in collaboration with the Research Centre Jülich and the Machine Learning and Artificial Intelligence Lab of the University of Bonn. Within this context collaboration with colleagues and research groups from different disciplines will promote the project. PhenoRob offers an extensive training programme.

Your task:
- planning, survey and analysis of greenhouse trials with sugar beet under biotic and abiotic stress
- developing of stress protocols and measuring setups
- hyperspectral imaging and analysis of sensor data
- scientific interpretation with project partners
- writing of scientific manuscripts and reports, presenting results on scientific conferences

Your profile:
- excellent Master graduation in agriculture, geography, computer science or related disciplines
- fundamental scientific understanding in phytopathology
- interests in digital technologies, imaging sensors, and automatization
- prerequisites are experience in statistics (machine learning, programming; R, Phyton)
- a very good command of spoken and written English (German would be desirable)
- driving license class B and willingness to travel

We offer:
- being part of our dedicated scientific team and international network
- interdisciplinary research and intercultural work environment
- participation in an extensive training programme
- flexible working hours with the possibility of working partly in home office

For more detailed information about the research project please contact Prof. Dr. Anne-Katrin Mahlein (

Please submit your application, including a motivation letter, detailed curriculum vitae and official academic transcripts to Institut für Zuckerrübenforschung, Holtenser Landstraße 77, D-37079 Göttingen or as a pdf attachment until 15.02.2022