Are you enthusiastic about energy research and would like to make your contribution to climate protection? Are you interested in modeling and statistical methods? Then join our team and work on a cutting-edge research project for the rapid energy characterization and analysis of buildings for the transformation of the heat supply and the use of flexibility in the energy grid.
In the research group “Building and Districts, we are developing methods to quickly and precisely examine the energy efficiency of existing buildings. To this end, we use innovative sensor technology, evaluate data sets ranging from satellite to cadastral data and apply modern data science methods for statistical analyses and model generation.
The Institute of Solar Research conducts research for a sustainable and CO2-free energy supply from solar energy. Our research focuses on concentrating solar technologies that convert sunlight into heat, electricity and fuels. We also conduct research in related areas: we use sensor technology and data analysis to evaluate the energy efficiency of buildings and develop renovation strategies. We develop systems for solar power plants and photovoltaic systems to measure and predict solar radiation data. Other important areas of research include quality assurance for solar thermal power plants and photovoltaic systems and the decarbonization of the chemical industry.
You will be working on a project with researchers from several areas of energy research at DLR. The aim of the project is to further develop evaluation, modeling and optimization methods for the transformation to a decentralized energy supply of buildings. Your task is to develop methods for the energy characterization of buildings on the scale of districts and municipalities. You will use open data sets such as 3D models from surveying offices and OpenStreetMap as well as real measurement data on the energy consumption of buildings. A central element is the creation of heat demand models, taking into account measurement on-site data on energy consumption and heat losses. Statistical methods of artificial intelligence are used as well as physically motivated modeling.
Your place of work is Jülich. With generous arrangements for mobile working, we contribute to your personal flexibility and the compatibility of career and family.