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23 PhD Positions within DETECT

21.01.2022 - Rheinische Friedrich Wilhelms University Bonn and Forschungszentrum Jülich, Germany

The Collaborative Research Center 1502 (SFB 1502) on Regional Climate Change: Disentangling the Role of Land Use and Water Management (DETECT) has recently been awarded funding by the Deutsche Forschungsgemeinschaft (DFG) and is looking to recruit several PhD Students starting as soon as possible. All positions are fixed-term, initially until December 31st, 2025, with the possibility of an extension.

DETECT is a research network of hydrologists, meteorologists, land-use modellers, geodesists, data assimilation and remote sensing specialists, data scientists, agricultural economists, and social scientists from the Faculties of Agriculture and Mathematics and Natural Sciences of the Rheinische Friedrich Wilhelms University Bonn, the Universities of Cologne and Göttingen, the Forschungszentrum Jülich and the Deutscher Wetterdienst.
Projects within DETECT will investigate how land-use and water management lead to persistent modifications in the coupled water and energy cycles of land and atmosphere (‘drying’ and ‘wetting’); and thus disentangle the role of these drivers of regional climate change from radiative forcing. They will develop evidence-based sustainability criteria for climate-smart land and water use. The SFB 1502 is well embedded in the excellent research infrastructure of the participating institutions and offers access to state-of-the-art technologies and a vibrant scientific community.


We are are offering the following PhD positions

  • PhD student (75%*) at FZJ (IBG-3) in the field of physical geography or soil science for project A02, with an interest in soil hydrology, quantitative data analysis, laboratory as well as field work
  • PhD student (75%*) at FZJ (IBG-3) in the field of micro-meteorology and water stable isotope ecohydrology for project A03, with a background in soil-plant-atmosphere interactions and process-based modelling.
  • PhD student (75%*) at UB in the field of agricultural economics for project A05, with a background in production economics, econometrics, efficiency analysis, and interest in behavioral experiments
  • PhD student (75%*) at UB trained in applied or agricultural economics and related fields for project A06. We look for expertise in theories of land system change, econometrics, spatial analysis.
  • PhD student (100%*) at UB in the field of geodesy for project B01, with a background in geodesy, hydrological modelling and satellite altimetry, programming, GIS and modelling experience
  • PhD student (100%*) at UB in remote sensing and data science for project B03, with a background in machine learning, and land use and land cover remote sensing
  • Two PhD students (75%*) at UB in the field of agricultural economics for project B04, with some experience in quantitative analysis/data science and an interest in (Bayesian) Econometrics/Machine Learning
  • PhD student (75%*) at UG in the field of agronomy for project B05, with a background in crop modeling, land surface modeling or irrigation science and skills in programming
  • PhD student (100%*) at UB in the field of remote sensing and subsurface hydrology for project C01, with a background in hydrological modelling, data assimilation and strong programming skills
  • PhD student (75%*) at FZJ (IBG-3) in the field of remote sensing and surface hydrology for project C01, with a background in hydrological modelling, and data assimilation with strong programming skills
  • PhD student (75%*) at UB in the field of soil and crop modelling for project C02, with a background in Crop Science or Agronomy and, ideally, experience in the use of crop models
  • PhD student (75%*) at FZJ (IBG-3) in the field of land surface modelling for project C03, with a background in hydrology and/or ecology, modelling experience and a good background in statistics
  • PhD student (75%*) at UB in the field of soil science for project C03, with a background in soil ecology or soil biochemistry for analysing climatic and land-use effects on C-balance
  • PhD student (100%*) at UB in the field of geodesy for project C03, with a background in GRACE data analysis. Skills in spatial statistics and/or machine learning techniques would be an asset
  • PhD student (75%*) at FZJ (IBG-3) in the field of remote sensing and snow hydrology for project C04, with a background in remote sensing, hydrological modeling, data assimilation and strong programming skills
  • PhD student (75%*) at UB in the field of long-run Computable General Equilibrium modelling for project D01, with a background in agricultural economics or related fields and preferable modelling experience
  • PhD student (75%*) at FZJ (IBG-3) in the field of terrestrial simulations for project D02, with a background in earth system modelling and strong programming skills
  • PhD student (100%*) at UB in the field of physical oceanography and/or meteorology in project D02. Strong programming skills (Python, Fortran) and a background in numerical modeling are desired
  • PhD student (75%*) at FZJ (IBG-3) in the field of data assimilation for project D03, with a background in hydrology and/or ecology, modelling and programming experience and good background in statistics
  • PhD student (75%*) at UB in the field of meteorology for project D03, with a background in soil hydrology, earth system modelling and strong programming skills
  • PhD student (75%*) at UB in the field of meteorology for project D04, with a solid background in dynamical meteorology and statistical modelling and good programming skills
  • PhD student (100%*) at UB in the field of computer vision for project D05, with a background in deep learning
  • PhD student (100%*) at UB in the field of geodesy, meteorology, or hydrology, for project D07, with a background in analysing remote sensing observations and modelling results

For all further information and how to apply see the job description (pdf).


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