The energy transition in Germany relies on large-scale deployment of renewable energy. However, disruptive events caused by environmental or climate-related factors may significantly affect resource availability and infrastructure. This thesis will explore how disruptive scenarios impact renewable energy potentials across Germany, by combining Python-based GIS workflows with energy system optimization. The aim is to quantify vulnerable regions and evaluate the resilience of the energy system under such conditions. Your tasks:
- Process regional-scale renewable energy potential datasets based on existing data
- Develop Python-based GIS workflows (geopandas, shapely) to identify renewable sites/potentials within environmentally constrained areas and to quantify affected renewable potential areas under disruptive environmental events at regional scale
- Analyze the implications of reduced renewable potentials on system design, storage, and resilience
Table of Content
Summary
Subscribe for Scholarship Alert!
Benefits
- MEANINGFUL TASKS: Your thesis deals with a future-oriented, socially relevant topic with direct practical relevance in an international environment
- PRACTICAL RELEVANCE: With us, you will gain valuable practical experience alongside your studies and actively participate in interdisciplinary projects
- SCIENTIFIC ENVIRONMENT: You can expect excellent scientific equipment, modern technologies, and qualified support from experienced colleagues
- ONBOARDING & TEAMWORK: You can look forward to working in a dedicated, international, and collegial team. It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https://go.fzj.de/welcome
- WORK-LIFE BALANCE: We offer flexible working hours to help you balance your professional and personal life. You also have the option of flexible working (in terms of location), which is generally possible after consultation and in line with upcoming tasks and (on-site) appointments
- FLEXIBILITY: Flexible working hours make it easier for you to balance work and study
- FAIR REMUNERATION: We will pay you a reasonable remuneration for your thesis
- FIXED-TERM: The position is initially for a fixed term of 6 months.
Requirements
- You are a Master student in engineering, renewable energy, sustainable energy systems, environmental engineering or a related field
- Strong skills in Python
- Experience with energy system optimization modeling (e.g. Pyomo or similar)
- Experience in geospatial analysis (e.g., geopandas) is highly advantageous
- Fluent speaking and writing skills in English
- A high degree of autonomy and commitment
- A thorough and reliable working style
Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
Forschungszentrum Jülich on www.fz-juelich.de to apply
For more information, kindly visit FZ Julich scholarship webpage.
