Client:
eawag
Location:
Job Category:
Customer Service
Job Reference:
3c34fe838c0f
Job Views:
2
Posted:
17.04.2025
Expiry Date:
01.06.2025
Job Description:
The aim of this position is to explore large Earth observation product archives and investigate variables featuring signals of shifts in aquatic ecosystems, as well as shifts in environmental variables in the catchment that impact remotely sensed water quality variables.
The European Space Agency’s Climate Change Initiative has compiled high-quality datasets for a large number of Essential Climate Variables (ECV) for lakes and various other ecosystem types. In our project, an international and interdisciplinary team of Earth observation experts and limnologists performs research on spatio-temporal features and environmental implications of ecosystem tipping points using these ECV datasets and complementary model simulations and observations. During two years, our team will implement two case studies on selected lake regions, while interacting with experts that implement comparable studies for other ecosystem types.
We are looking for a motivated person at the post-doc level who will be involved in the following tasks:
1. Implementation and application of Earth observation algorithms
2. Investigate and estimate Earth observation product uncertainties
3. Data analysis, interpretation and interdisciplinary communication
4. Conducting and supporting two jointly designed case studies
The successful candidate will have a PhD in remote sensing, environmental science, or similar. He/she will have an in-depth understanding of statistical analysis and excellent programming skills (e.g. Python, Matlab). Proficient spoken and written English, good organizational skills and an independent working style are required.
Applications are reviewed on an on-going basis until the position is filled. Applications must include a motivation letter, a CV and two letters of recommendation. The period of appointment is 12 months with the option to extend by another 12 months, starting as agreed upon.
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