PostDoc in Microclimate mapping of soil moisture 80-100%

Vor 2 Tagen


Birmensdorf ZH, Schweiz TN Switzerland Vollzeit

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PostDoc in Microclimate mapping of soil moisture 80-100% (f/m/d), Birmensdorf

Client: WSL

Location: Birmensdorf

Job Category: Other

Job Reference: ef29d660b01d

Job Views: 10

Posted: 22.01.2025

Expiry Date: 08.03.2025

Job Description:

The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards.
The Research Unit Forest Soils and Biogeochemistry investigates the impacts of climate change on soil biodiversity, soil functions, and ecosystem processes. The Research Group Biogeochemistry is looking for a PostDoc in Microclimate mapping of soil moisture 80-100% (f/m/d) for the duration of 2 years. Extremely dry and hot summers are becoming more frequent in Switzerland and will change water availability, so a better understanding of soil moisture patterns is needed. The project SMURF aims to improve soil moisture mapping and monitoring, which is crucial for understanding climate and ecosystem dynamics in Swiss forests. SMURF will focus on grassland-forest transitions and reveal microclimatic soil moisture patterns. It will fill gaps in existing climate grids by integrating in-situ observations, vegetation structure, and novel radiative transfer modeling. The project addresses the lack of microclimate mapping for soil moisture and aims to provide comprehensive monthly soil moisture maps at a 5-meter resolution. These maps will improve drought monitoring and inform climate resilience strategies. The successful candidate will help coordinate a soil moisture measurement campaign and combine these measurements with spatial predictor variables to develop and apply a predictive model for soil moisture. You hold a PhD in meteorology, hydrology, environmental sciences, or a related field. Further, you have a strong background in spatial mapping using, amongst others, machine learning methods and excellent programming skills in R or Python. Additionally, you are experienced in handling and interpreting environmental datasets such as soil moisture measurements. Good skills in scientific writing are essential. You are committed, accustomed to working independently with a high standard of structure and attention to detail, and you possess a high level of self-motivation and strong team spirit.

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