Two doctoral reasearchers on urban modelling

Universität Heidelberg, Germany
Closing date: 1 November 2021

About the first position:
The position is adverted within the research group “Simulation of greenhouse gases in the atmosphere”. The doctoral researcher will utilize the high-resolution model GRAMM/GRAL to simulate CO2 concentrations in the urban atmosphere and infer CO2 fluxes. The simulation as well as flux estimation will be improved using machine-learning methods.

Your tasks:

  • Dynamic simulation of CO2 using GRAMM/GRAL model
  • Application of machine learning methods for model improvement and emission estimation
  • Collaboration with IWR (Interdisciplinary Center for Scientific Computing) for application of machine-learning algorithms

Your profile:

  • Completed master′s degree in physicsor similar
  • High interest in environmental physics contexts
  • Programming skills (ideally in python and C++)
  • Knowledge of machine learning and special lectures in environmental physics are an advantage
  • Ability to work independently
  • Ability to work in a team

Uni Heidelberg offers:

  • Varied work in a dynamic and communicative team
  • Possibility for personal further education

More information

About the second position:

The position is adverted within the research group “Simulation of greenhouse gases in the atmosphere”. The doctoral researcher will couple the high-resolution model GRAMM/GRAL with output from the Weather Research and Forecast (WRF) Model and include anthropogenic as well as biogenic CO2 emission estimates. The goal is to obtain a dynamic simulation of CO2 concentrations in the urban atmosphere. An Observation System Simulation Experiment (OSSE) will be performed in a prototype region to optimize the design of an urban monitoring network.

Your tasks:

  • Development of the GRAMM/GRAL model for pilot region
  • Coupling of WRF model with GRAMM/GRAL model
  • A priori CO2 emission estimation of biogenic and anthropogenic fluxes
  • Collaboration with the department of geoinformatics for incorporation and validation of emission inventories into the model
  • Performing an OSSE for design of urban monitoring network

Your profile:

  • Completed master′s degree in physicsor similar
  • High interest in environmental physics contexts
  • Programming skills (ideally in python and C++)
  • Experience in handling geodata is an advantage
  • Ability to work independently
  • Ability to work in a team

Uni Heidelberg offers:

  • Varied work in a dynamic and communicative team
  • Possibility for personal further education

More information


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