Vacancies


Postdoc in Machine Learning for Advanced Peatland Mapping

The Department of Agroecology at Aarhus University, Denmark, is offering a 2 year postdoctoral position in machine learning for advanced peatland mapping. The selected candidate will be part of the Pioneer Center Land-CRAFT at Aarhus University. The position focuses on unraveling the complex interactions within peatland ecosystems using advanced contextual spatial and temporal modelling approaches using multi-source data including field observations, laboratory measurements, environmental data, and drone- and satellite-based sensor data to enhance the prediction of peatland soil properties and functions across national, regional to local scales.

Candidates should hold a PhD in computer science, geoinformatics, geography, environmental science, or a related field, with documented experience in handling large datasets and applying machine learning or deep learning methods. Solid programming skills (e.g. Python, R), knowledge of GIS and remote sensing, and a strong publication record are required. Experience in AI (XAI), high-performance/cloud computing, and interdisciplinary collaboration is an advantage.

The position is full-time and will start on 1 December 2025 or as soon as possible thereafter, and is based primarily in Aarhus.

The application deadline is 1st of August 2025 at 23:59 CEST.

For more information on requirements, workplace, and application procedure, please follow this link.


Postdoc in Farm Scale Modelling within a Landscape Context

The Pioneer Center for Landscape Research in Sustainable Agricultural Futures, Land-CRAFT, at the Department of Agroecology, Aarhus University, Denmark, is offering a 2.5-year postdoctoral position in farm-scale modelling of nutrient flows. The position focuses on developing and integrating ecosystem and farm-scale models (e.g. LandscapeDNDC, FarmAC) to simulate nitrogen and carbon cycling, greenhouse gas fluxes, and management scenario impacts within agricultural landscapes.

Candidates should hold a PhD in agronomy, biology, engineering, or a related field, with proven experience in process-based modelling of biogeochemical flows at field and farm scale. Proficient programming skills (R, Python, C#), strong scientific writing abilities, and willingness to contribute to interdisciplinary team efforts are essential.

The position is full-time and will start on 15 December 2025 or as soon as possible thereafter, and is based primarily in Aarhus.

The application deadline is 4th of August, 2025 at 23:59 CEST.

For more information on requirements, workplace, and application procedure, please follow this link.