Master Thesis in Environmental Modeling

Helmholtz Centre for Environmental Research (UFZ)

Leipzig, , DE

Your tasks:

The discharge of untreated and/or non-adequately treated wastewater is still a major source of the pollution of surface and sub-surface water bodies. Treatment wetlands have become an increasingly recognized nature-based technology for wastewater treatment. The system analysis of this technology using process-based numerical modeling is an important method to gain a deeper system understanding and to further optimize treatment efficacy. Unfolding the full potential of this method requires workflows that allow to conduct the numerous computer simulations and required pre- and post-processing steps involved in an efficient and user friendly way.
This project will, therefore, focus on the extension and application of an existing open-source modeling workflow for treatment wetlands. The candidate will further develop an interface of our in-house software OpenGeoSys with the R statistical software environment. The interface is then to be used to adapt an existing transport model to different wetland technologies.

Specific tasks are:

  • Extension of the existing modeling workflow in R and OpenGeoSys
    • Software development of the interface R2OpenGeoSys using the R statistical software environment
  • Application of the workflow (pre-processing, simulation, post-processing) to calibrate and validate transport models of experimental pilot-scale wetlands 

According to the candidates interests and capabilities, modification of the topic towards more method development or application is possible.

Your profile:

  • Student of environmental informatics, applied informatics, environmental engineering, environmental sciences, hydrology or related discipline
  • Self-sufficiency and reliability
  • Basic experience with R is mandatory
  • Experience with numerical transport modeling, Python and/or OpenGeoSys are an asset

We offer:

• A close and good care
• Exciting insights into the work of a leading institute
• Excellent technical facilities which are without parallel
• Work in inter-disciplinary, multinational teams
• The possibility to introduce your own ideas and impulses from the beginning




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