Your tasks:
- Developing generic analysis workflows within a given case study
- Geospatial (big) data processing using open-source software (e.g., GDAL, GRASS GIS) and their integration to other programming languages in a cloud-optimized way
- Communicating with and supporting researchers in project case studies across Europe
- Preparing documentation and basic teaching material of the VRE
- Contribution to the research group's R package "hydrographr" and the "Hydrography90m" and "GeoFRESH" databases, and porting their data and functionality to cloud-based workflows
Your profile:
- You hold a completed academic degree in freshwater ecology, spatial ecology, geoinformatics (or equivalent) with a background in spatial freshwater biodiversity science
- Essential is experience and interest in spatial freshwater biodiversity science
- Essential is experience in open-source GIS programming, Open Science practices, and FAIR Data
- Essential is an excellent knowledge in R at the level of package development and maintenance in Linux and Windows
- Essential is a very good understanding of PostgreSQL. Knowledge of extensions, such as pgRouting, is an advantage
- Essential is a strong knowledge of the Linux environment and experience in High-Performance-Computing and Big Data
- Experience in OGC geospatial APIs, e.g. GeoServer, and geodata management, e.g. GeoNode is beneficial
- The successful candidate is expected to have strong collaborative skills to foster collaboration with other research groups within the project, including excellent English communication and version control skills (git)
- Experience in communicating software to end-users is beneficial
Our offer: We offer an interesting position in an international and dynamic scientific environment. We foster flat hierarchies and active participation. We allow maximum individual freedom, enabling everyone to develop and use their creativity to the best of their abilities.