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Bloomberg Data Science Ph.D. Fellowship
Bloomberg Data Science PhD Fellowship in AI/ML and Data Science Bloomberg
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded fellowship with 100% tuition coverage, a $45,000 USD annual stipend for living expenses, research needs, or conference travel, and a paid 14-week summer research internship at Bloomberg in New York, London, or Toronto. Renewable for up to 3 years.
Deadline
Sep 25, 2026
Country
-
University
Bloomberg

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About this position
Applications are open for the Bloomberg Data Science Ph.D. Fellowship (2027–2028), a fully funded opportunity for full-time Ph.D. candidates working in Artificial Intelligence, Machine Learning, and Data Science.
This fellowship supports research in areas such as agentic AI, tool use and agent infrastructure, LLM evaluation, code generation, semantic parsing, text-to-API, efficient models and distillation, human-AI collaboration, data annotation, information retrieval, RAG, knowledge graphs, neuro-symbolic reasoning, LLM post-training, multimodal models, document intelligence, time-series modelling, forecasting, and AI for finance, as well as trustworthy and secure AI.
Funding includes 100% tuition coverage, a $45,000 USD annual stipend, and a paid 14-week summer research internship at Bloomberg in New York, London, or Toronto. The fellowship is renewable for up to 3 years.
Eligibility highlights include being a full-time Ph.D. candidate and being willing to complete the mandatory summer internship and attend the annual fall kick-off in New York.
Deadline: September 25, 2026.
Interested applicants should review the full application details and submit through the official link provided in the post.
Funding details
Fully funded fellowship with 100% tuition coverage, a $45,000 USD annual stipend for living expenses, research needs, or conference travel, and a paid 14-week summer research internship at Bloomberg in New York, London, or Toronto. Renewable for up to 3 years.
What's required
Applicants must be full-time Ph.D. candidates working on research in AI, machine learning, or data science. They must be willing to complete a mandatory 14-week summer internship at Bloomberg and attend the annual fall kick-off in New York. The fellowship is aimed at researchers in topics such as agentic AI, evaluation, code generation, efficient models, human-AI collaboration, retrieval, LLM post-training, multimodal models, time-series forecasting, and trustworthy AI.
How to apply
Review the full application details and guidelines at the provided application link. Prepare your PhD fellowship application and submit it before the deadline. Ensure you can commit to the summer internship and the fall kick-off in New York.
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