**Job Description**
This position involves developing automated and large-scale approaches for the provision and integration of energy systems data and models. The role requires applying data science methods to facilitate transparent energy system analyses. Key tasks include processing and semantically enriching data using developed methods, integrating it into a knowledge graph-based metadata platform, and collaborating with energy research stakeholders to enhance data and software interoperability. The successful candidate will design scalable, transparent, and interoperable interfaces aligned with FAIR and Linked Open Data principles to enable seamless processing of big data in AI-driven energy systems research.
**Skills & Abilities**
• Huge interest in data science and energy technologies
• Basic knowledge of artificial intelligence and data analysis methods
• Programming skills, ideally in Python
• Independent and analytical way of working
• Reliable and thorough working style
• Fluent written and spoken English; German language skills are advantageous
**Qualifications**
Required Degree(s) in:
• Computer science
• Data science
• Natural sciences
• Economics
• Engineering
• Mathematics or a related field of study
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