PhD Researcher in Physical Lake Modelling

vor 1 Tag

Magdeburg, Sachsen-Anhalt, Deutschland Helmholtz Centre for Environmental Research Vollzeit
About the Job

The Helmholtz Centre for Environmental Research (UFZ) is seeking a talented and motivated PhD Researcher to join our team in physical lake modelling. As part of a large coordinated project, you will be responsible for analysing the potential ecological impacts of hydrothermal use of lakes and reservoirs.

Key Responsibilities
  • Generate a national inventory of standing waters (lakes and reservoirs)
  • Apply 1D physical lake models to explore thermal dynamics and their modifications by hydrothermal use
  • Evaluate ecological impacts on lakes including potential future climatic changes
  • Framing rules for allowable heat extractions in cooperation with the project team
  • Quantification of a nationwide hydrothermal usage potential from standing waters
What We Offer
  • Excellent supervision and optimal professional and interdisciplinary qualification through our HIGRADE graduate programme
  • The freedom to master even the most demanding challenges between basic research and practical application
  • The opportunity to work in interdisciplinary, international teams and benefit from a wide range of perspectives
  • First-class integration into national and international research networks to work together on global challenges
  • Excellent research infrastructure and research data management to optimally support your work
  • A wide range of options for balancing care responsibilities and work through our family office
  • Competent support and advice for international colleagues arriving at the UFZ from the 'International Office'
  • Special annual payment, capital-forming benefits and subsidised Deutschland-Job-Ticket
  • A workplace in a vibrant region with a high life quality and social and cultural diversity
Requirements

You should have knowledge in lake physics and limnology documented by a Masters degree in limnology, physics, environmental sciences or related disciplines, programming skills and experience in dynamic models as well as GIS and good communication abilities.

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