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Your Job: In an interdisciplinary team, you will implement approaches for the automated, large-scale availability and integration of energy system data and models, applying data science methods
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sensing data as appropriate. ● Demonstrated experience using generative AI tools (e.g., large language models) effectively, including prompt design, evaluation of outputs, and responsible use in
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, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and
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enterprise data into usable models (Snowflake preferred). Experience working with large-scale administrative systems such as Banner, Workday, Salesforce, or ServiceNow. Effective analytical thinking and
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integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and agentic workflows. *Applicants
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, and curated semantic datasets for analytics and downstream consumption. Develop scalable transformation and modeling layers using dbt (or equivalent) and data modeling best practices (Kimball
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informatics, clinical data modeling, interoperability standards, and methods for transforming EHR and operational data into actionable knowledge. Appointees may pursue methodological work in semantic data
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University of Angers. More information here: https://www.univ-angers.fr/en/research/funding-and-projects/cap-europe/… Keywords: Computer Science – Semantic Web – Ontologies - Data mining - Data Integration
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Enablement • Collaborate with SSA analysts, data scientists, and functional partners to support complex analyses and reporting needs. • Develop and maintain data tables, views, and semantic layers that support
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named Penn one of America’s Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access