Elsevier is seeking a data science student to work on a hands-on research project at the intersection of large language models, knowledge graphs, and scientific information retrieval. You will apply AI to problems across chemistry, life sciences, and biomedical content, and help improve products researchers rely on daily.
You will ground LLM outputs with ontologies and knowledge graphs, perform information extraction and entity linking, and contribute to improved search and ranking.
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Data Science Intern: LLMs, Knowledge Graphs, Flexible Hours employer: Elsevier B.V.
Elsevier B.V. is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Oxford. With a strong focus on employee growth, team members are encouraged to develop their skills through continuous learning opportunities while working on cutting-edge technology in an Agile environment. The company offers competitive benefits and a supportive atmosphere, making it an ideal place for those seeking meaningful and rewarding employment.
