Technische Universität Berlin - Faculty III - Institute of Energy Systems / Digital Transformation in Energy Systems
Research Assistant - salary grade E13 TV-L Berliner Hochschulen - 1st qualification period (PhD candidate)
part-time employment may be possible
Do you want to put your analytic skills in the service of the energy transition? In this position you will research the most cost-effective pathways for the reduction of greenhouse gas emissions in the European energy system, while ensuring that these pathways also enjoy the broad support of society. Whether it’s the expansion of electricity grids to integrate wind and solar power, the conversion of fossil gas grids to hydrogen, or the decarbonisation of industry, conflicts always arise between cost-effectiveness and public acceptance. These conflicts threaten to slow the energy transition down. The goal of our research is to find compromises that allow fast implementation of decarbonisation strategies that are both socially and economically acceptable. For this purpose, we develop detailed energy system models that capture the interactions between European energy markets, land use, local grid bottlenecks (whether in electricity or gas) and the different energy sectors.
Your work will lie at the interface between engineering, economics and computer science. You will present your research results at national and international conferences, and publish in scientific journals. Teaching is also an important part of the position, in the form of preparing tutorials and seminars. In our research we publish all software, input data and results under open source licences to guarantee full transparency, and you will help contribute towards these efforts, in particular to the further development of “Python for Power System Analysis“ (PyPSA).
We offer you a young, international and inter-disciplinary working environment at a leading research institute in the heart of Berlin. You will have the chance to make a high impact on the research and debate surrounding the energy transition.
The position is set to pursue a PhD, whose topic we will tailor together to your interests.
Successfully completed university degree (Master, Diplom or equivalent) in engineering, mathematics, economics, physics or computer science. You have excellent analytical skills, experience in mathematical optimisation, some knowledge of economics (ideally energy economics), good programming experience, as well as excellent English and good German (for teaching). You are both personally highly motivated and work well in a team.
Ideally you have experience in the programming language Python and have already worked with the energy system model PyPSA. Knowledge about load flow modelling and optimisation would be helpful, as well as knowledge of the international research landscape.
How to apply:
Please send your application with the reference number and the usual documents (combined in a single pdf file, max. 5 MB) by email to Prof. Dr. Thomas Brown (firstname.lastname@example.org).
By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guarantee for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.
Technische Universität Berlin - Der Präsident - Fakultät III, Institut für Energietechnik, FG Digitaler Wandel in Energiesystemen, Prof. Dr. Thomas Brown, Sekr. TA 8, Einsteinufer 25, 10587 Berlin