Publisher
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University of Göttingen

PhD Scholarship in Crop Modelling, Plant–Pathogen Interactions, and Ecological Dynamics at University of Göttingen University of Göttingen in Germany

Degree Level

PhD

Field of study

Environmental Science

Funding

The position offers a four-year PhD scholarship funded by the DFG MultiStress Research Unit. It includes excellent supervision, training opportunities, access to unique experimental datasets and high-performance computing infrastructure, and opportunities for international collaboration and conference participation. Specific stipend amount and tuition coverage are not mentioned.

Deadline

Expired

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Country

Germany

University

University of Göttingen

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Keywords

Environmental Science
Agriculture
Biology
Systems Biology
Ecosystem Dynamics
Plant-pathogen Interaction
Maize
Biotic Stress

About this position

The University of Göttingen's Institute of Tropical Plant Production and Agricultural Systems Modelling (TROPAGS) is offering a four-year PhD scholarship under the DFG-funded MultiStress Research Unit (RU 6101). This opportunity is primarily directed toward students from East Africa but is open to all qualified candidates. The research focuses on process-based crop modelling of biotic–abiotic stress interactions in maize, including crop modelling, plant–pathogen interactions, and ecological dynamics. The project aims to improve understanding and prediction of crop performance under complex stress environments, specifically investigating how maize responds to multiple stress factors such as drought, nitrogen deficit, and disease (Setosphaeria turcica).

Main tasks include developing and implementing new routines for disease effects on maize physiological processes, integrating and testing these within the MultiStress crop model, calibrating and validating the model using experimental data, analyzing model outputs, and collaborating with other subprojects. The position offers dynamic, interdisciplinary research training, access to unique datasets, high-performance computing, and opportunities for international collaboration and conference participation.

Applicants must have a Master's degree in a relevant field (Crop Science, Agronomy, Agricultural or Environmental Sciences, Plant Pathology, Systems Biology), strong interest in quantitative crop modelling, programming and data analysis skills (R, Python), and experience with process-based models is advantageous. Excellent English skills and the ability to work in an international team are required.

To apply, candidates should send a single PDF (motivation letter, CV, certificates) to Prof. Reimund Rötter at [email protected] by 04 January 2026. Interviews will be held on 15, 19, or 20 January 2026, with invitations sent on 12 January 2026. For further information, contact Prof. Rötter or Dr. Munir Hoffmann.

Funding details

The position offers a four-year PhD scholarship funded by the DFG MultiStress Research Unit. It includes excellent supervision, training opportunities, access to unique experimental datasets and high-performance computing infrastructure, and opportunities for international collaboration and conference participation. Specific stipend amount and tuition coverage are not mentioned.

What's required

Applicants must hold a Master's degree (or equivalent) in Crop Science, Agronomy, Agricultural or Environmental Sciences, Plant Pathology, Systems Biology, or a related field. Strong interest in quantitative crop modelling and the interaction between plant physiology, environment, and disease is required. Solid skills in programming and data analysis (e.g., R, Python) are expected. Experience with process-based models, experimental datasets, or parameter estimation is an advantage. Ability to work independently and collaboratively in an interdisciplinary and international team is necessary. Applicants must have a very good command of English, both written and spoken.

How to apply

Send your application (motivation letter, CV, certificates) as a single PDF to [email protected] by 04 January 2026. Interviews will be held on 15, 19, or 20 January 2026. You will receive an invitation on 12 January 2026. For further information, contact the supervisors via email.

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