38928: Research scientist in Geosciences - Remote sensing & energy system analysis in urban environments (75% part time)

German Aerospace Center (DLR)

Oldenburg, Germany

Work group:

Institute of Networked Energy Systems



Area of research:

Scientific / postdoctoral posts



Job description:

The DLR Institute of Networked Energy Systems with currently around 150 employees in Oldenburg develops technologies and concepts for future energy supply based on renewable energy sources. The major challenge is how to form stable and efficient energy systems from weather-dependent decentralised production units. The research for this transformation process follows a D3 approach (D3 = Decarbonisation, Decentralisation, Digitalisation).


The department of Energy System Analysis conducts research in the fields of energy meteorology, technology assessment, grid and system modelling. It develops models, methods and algorithms for the simulation and optimisation of networks and energy systems on the basis of fluctuating, decentralised generation. Our research group Energy Meteorology is primarily concerned with research on the availability and prediction of the variable power generation from renewable energies. Data from geostationary satellites and ground-based sky imaging systems are used in combination with numerical methods for applications in solar energy.


Your responsibilities:


you participate in a DLR internal project ‘Digital Atlas’ and work at the interface of land surface remote sensing, atmospheric remote sensing, and energy system analysis you develop methods to integrate existing data on land cover/land use, three-dimensional urban models, urban structure parameters and solar irradiance into the existing energy system model FlexiGIS you develop methods to quantify the solar irradiance variability and how to forecast variability for the upcoming hours you analyse such innovative information sources with respect to requirements from the energy system analysis point of view. You develop use cases as example applications and generate show cases for the use of such data. You provide critical feedback to the remote sensing community you report on your results in scientific journals, on scientific conferences, and during project meetings the planned activities are suitable to be used in a PhD program

The position corresponds to 75% of a full position.



Please apply via recruiter’s website.

Quote Reference: 38928

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