Position in Computational Ecology - Statistical modelling

Your tasks:

  • 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

Your profile:

  • 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.

We offer:

  • 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
Position in Computational Ecology - Statistical modelling
UFZ Helmholtz

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

Closes On: