- Using biodiversity data provided in the BioDT project (and beyond) on spatial distribution and partly on temporal dynamics
- Collating environmental data on climate, land use and management from online sources and also make use of remote sensing data, where appropriate
- Assisting in and conducting the development of appropriate automated work-flows from the different biotic and abiotic data sources to the model
- Develop spatio-temporal models for different aspects of biodiversity based on predefined Use Cases
- Assist in implementing such models at a European GPU-based supercomputer
- PhD in Biostatistics, Ecology, Biology, Geo-ecology, Geography, Mathematics or similar
- Sound knowledge in species-distribution modelling and modelling of spatial dynamics
- Experience in Bayesian hierarchical modelling
- Preferably knowledge in ‘joint species distribution modelling (jSDM)’
- Advanced knowledge of scientific Python, R and Git.
- Basic understanding of parallel and distributed computing preferred.
- Ecological knowledge in at least one taxonomic group
- Communication skills in English and willingness to work in an interdisciplinary team with international partners. Traveling is foreseen.
- Present and publish results at scientific conferences and high impact peer-reviewed scientific journals.
- Excellent technical facilities which are without parallel
- The freedom you need to bridge the difficult gap between basic research and close to being ready for application
- Work in inter-disciplinary, multinational teams and excellent links with national and international research networks
- A vibrant region with a high quality of life and a wide cultural offering for a balance between family and professional life
- Interesting career opportunities and an extensive range of training and further education courses
- Remuneration up to the TVöD public-sector pay grade 13 including attractive public-sector social security benefits
Working in the European Union funded project “BioDT: a Digital Twin prototype to help protect and restore biodiversity”, limited to 29 months, starting 1 January 2023, working time: 100% (39 hours/ week)
This position is subject to the approval of the third party funder