Bloomberg Data Science Ph.D. Fellowship
Forecasted
Bloomberg Data Science Ph.D. Fellowship supports doctoral researchers with funding, mentorship, and research internships to advance AI and data science through publications and open-source contributions.
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Funder: Bloomberg L.P.
Due Dates (Anticipated): September 2027 (Application and reference letters)
Funding Amounts: 100% tuition coverage plus USD 45,000 annual stipend; renewable for up to three years at Bloomberg’s discretion
Summary: Supports doctoral research in AI and data science through financial support, mentorship, and paid research internships.
Key Information: Fellows must complete a 14-week paid summer research internship each year in New York, London, or Toronto.
Description
The Bloomberg Data Science Ph.D. Fellowship supports doctoral candidates producing groundbreaking research publications, open-source contributions, and other forms of research dissemination. Bloomberg’s AI and machine learning researchers and engineers work on challenges for the Bloomberg Terminal, combining scientific analysis with engineering. Fellows receive financial support, mentorship, career counseling, and research internships.
The program’s interests span agentic AI, agent evaluation, code generation, efficient models, human-AI collaboration, information retrieval and synthesis, and structured reasoning. It also welcomes research on language model post-training, domain adaptation, reasoning and alignment, multimodal models, document intelligence, time-series forecasting, AI for finance, and trustworthy, responsible, and secure AI. The listed topics are not exhaustive.
