This project aims to build a replicable framework that supports circular economy strategies in the solar sector. By identifying regions where photovoltaic (PV) module reuse has high social return and where recycling is logistically efficient, the model supports both environmental and equity goals in energy transitions. The work will be carried out in cooperation with the team "High Throughput Characterization and Modelling for PV" at Helmholtz-Institute Erlangen-Nürnberg (HIERN) in Erlangen, enabling you to build an interdisciplinary network for your professional career.
You are part of the Spatial Economics team, which conducts research in the field of economics and social sciences on the transformation of the energy system, and support the research assistants in the following activities:
- You carry out literature research and summarize it orally and in writing
- You research, describe, and analyze regional (economic) data
- You design optimization models/regional econometric models with our support
- You present your results to the team
- You take part in team meetings and project meetings
Table of Content
Summary
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Benefits
- We work on cutting-edge, innovative topics and offer you the opportunity to play an active role in shaping change. We offer you:
- An interesting and socially relevant topic in an interdisciplinary, well-networked project team
- Ideal conditions for practical experience alongside your studies
- An international, committed, and collegial working environment
- Excellent scientific equipment and the latest technology
- Qualified supervision by academic colleagues
- The opportunity to work flexibly (in terms of location), e.g. in a home office
- Flexible working hours and appropriate remuneration
In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits.
Requirements
- You are completing a Master`s degree in the field of economics, data science, or in a related field
- Interest in the challenges of the energy transition and its economic consequences
- You have a quick grasp and the ability to analyze and creatively implement complex issues
- You are proficient in the use of statistical and geoinformation software (e.g., Python, R, QGIS)
- You have a high degree of team spirit
- Excellent knowledge of English (German is a plus but not mandatory)
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
If your questions have not yet been answered via our FAQs , please send us a message via our contact form.
For more information, kindly visit Forschungszentrum Jülich scholarship webpage.
