Postdoctoral Researcher in Environmental Data
vor 2 Wochen
In the project ODER~SO, an interdisciplinary team of researchers investigates manifold aspects of the environmental catastrophe which occurred in the Oder River during summer of 2022, when a toxic algal bloom severely impacted the aquatic communities and had devastating consequences for the river ecosystem. The project aims to assess the current state of the Oder River, develop precautionary measures, and identify resilience factors that will be critical for the future protection of the ecosystem. This position is dedicated to the synoptic analysis of a large and diverse dataset obtained in the course of the project - satellite earth observation data, water quality and pollution data, in situ sensor time series, biological data - to reconstruct ecological boundary conditions and derive concepts for the identification of critical thresholds.
**Your tasks**:
- Monitoring the dynamics of potentially toxic algal blooms in the Oder River and connected water bodies through the processing and analysis of Earth observation satellite data (e.g. Sentinel-2).
- Multivariate analysis of long-term data, e.g. water chemistry and hydrology, using statistically robust trend and pattern recognition in time series analysis
- Synoptic evaluation of data collected in the ODER~SO project: in situ water quality monitoring, ex situ lab data, remote sensing data, with varying spatial and temporal resolution.
- Work closely with other members of the project team to provide scientific concepts for the knowledge and information platform on the development of algal blooms and water quality in the Oder River Network.
- Publication of results in peer-reviewed scientific journals
- Contributions to the overall scientific activities, publication and communication activities of the project
**Your profile**:
- A PhD in mathematics, data science, computer science, environmental science, or a related field.
- Excellent experience in working with earth observation data, and large, multiscaled and multivariate data sets, descriptive and analytical statistics, time series analysis.
- Strong experience in GIS and/or experience in spatially explicit modelling of e.g. water quality, hydrology, or watersheds.
- Strong coding skills in R and preferably one of the following languages: Python, Julia, C.
- Experience and interest in ecological and interdisciplinary research.
- Strong publication record, commensurate with career stage.
- Strong English language skills in oral and written communication.
- Willingness to work in an international, diverse project team.
**Our offer**:
We offer an exciting position in an international and dynamic scientific environment including excellent equipment and technical support. We foster your **career development** by providing qualification and training opportunities. We actively support the reconciliation of **work and family life**.
Salary is paid according to the German salary scheme for the public sector (TVöD Bund E13). It is a full-time position with 39 working hours per week, fixed-term for 2 years. The position is principally suited for part-time work.
**Are you interested?**:
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