PhD position

The University of Bonn is an international research university with a wide education and research profile. With a 200-year history, approximately 31,500 students, more than 6,000 staff, and an excellent reputation at home and abroad, the University of Bonn is one of the most important universities in Germany and is recognized as a university of excellence .

The Crop Science Group within the Institute of Crop Science and Research Conservation (INRES) at the University of Bonn is offering a

PhD position (f/m/d)

The Cluster of Excellence “Pheno Rob:
Robotics and Phenotyping for Sustainable Crop Production” () is devel-oping novel ways for growing crops and managing fields. Pheno Rob aims at reducing the environmental footprint of crop production, to maintain the quality of soil and arable land, and to analyze different pathways to improve the adoption of new technologies.

Conceptualizing, implementing and testing a novel crop disease model for integration into the crop growth modelling framework SIMPLACE,

Contributing to field experiments to detect crop diseases based on UAV imagery and machine learning approaches for model calibration and validation,

Supervising graduate and/or under-graduate students on topics related to crop growth modelling, crop disease modelling, or similar approaches,

Publishing results in peer reviewed journals and presenting at conferences,

Cooperation with other projects within Pheno Rob.

Active participation in the international research hub The Cluster of Excellence “Pheno Rob”,

An open, supportive, and stimulating work environment promoting interdisciplinary research,

The opportunity of conducting innovative research in the domain of digital agriculture,

Remuneration in accordance with TV-L pay grade 13.

An excellent MSc degree in agricultural sciences or related disciplines, preferably with a focus on crop diseases, and interest in conducting innovative research on digital agriculture and food security,

Preferable experience and skills,

developing and/or applying crop growth and/or crop disease models,

spatial data analysis with GIS,

experience with programming languages (e.g., Python, R)

Machine learning and/or GPU computing would be an additional asset,

Willingness to travel occasionally within Germany for field measurements.

The University of Bonn is committed to diversity and equal opportunity. It is certified as a family-friendly university . It aims to increase the proportion of women in areas where women are under-represented and to promote their careers in particular. It therefore strongly encourages women with relevant qualifications to apply. Applications will be handled in accordance with the Landesgleichstellungsgesetz (State Equality Act).

Applications from suitable individuals with a certified serious disability and those of equal status are particularly welcome.