Doctoral Researcher - AI-supported Integration of Heterogeneous Research Data in Energy System Models | Promotion (m/w/d)
Forschungszentrum Jülich GmbH
Job Summary
This role offers an exciting opportunity for a Doctoral Researcher to contribute to the future of energy systems by developing AI-supported solutions for integrating diverse research data. The successful candidate will work within an interdisciplinary team to create automated, large-scale data and model integration approaches for energy systems, leveraging data science methods for transparent analyses. Key responsibilities include expanding structured description formats for software interfaces, selecting AI algorithms for data annotation, ensuring data sustainability with knowledge graph structures, and developing interfaces for automated data integration into open-source energy system model workflows. This position is ideal for someone passionate about data science and energy technologies, looking to make a tangible impact on climate-friendly energy systems.
Required Skills
Education
Master's degree in Computer Science, Data Science, Natural Sciences, Economics, Engineering, Mathematics, or a related field
Experience
- Professional experience in data management and data analysis procedures (basic knowledge)
- Professional experience in programming, ideally in Python
- Professional experience in developing methods for data and software interoperability
- Professional experience in designing interfaces for big data processing
Languages
Additional
- Not specified
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