Deadline: December 14, 2025
Applications are open for the Bloomberg Data Science Ph.D. Fellowship 2026-2027. The goal of this fellowship is to support and encourage Ph.D. candidates to generate groundbreaking research publications, open source contributions, and/or other forms of research dissemination. Bloomberg fellows are supported both financially and through mentorship, career counseling, and research internships.
Specific topics of interest for this year’s call include, but are not limited to (in alphabetical order):
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- Agentic AI and LLM Reasoning
- Agent Evaluation and LLM Judges
- Code Generation, Semantic Parsing, and Text2API
- Human-AI Interaction and Data Annotation
- Information Retrieval and Conversational Systems
- Knowledge Graphs and Structured Reasoning
- LLM Post-training, Domain Adaptation, and Alignment
- Multi-modal Models for Document Understanding
- Summarization and Content Generation
- Time-series Modeling and AI for Finance
- Trustworthy AI and Interpretability
Benefits
- The fellowship will cover 100% of the recipient’s tuition.
- Recipients will be given a stipend of USD $45,000 to cover their living expenses and to attend professional conferences or for research expenses, such as computer hardware.
- Recipients will have Bloomberg mentors and are required to complete a 14-week paid summer internship at Bloomberg for each year that they are a fellow, starting in Summer 2026.
- Recipients have the opportunity to renew their fellowship annually, for up to three years, at Bloomberg’s discretion.
Eligibility
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- Applicants must be full-time doctoral students during the 2026-2027 academic year, with an expected Ph.D. graduation date in or before the end of 2029.
- Recipients must remain enrolled as full-time students for the duration of the grant. If this status is not maintained, the remainder of the grant will be forfeited.
- Recipients must attend the academic year kickoff event each fall at Bloomberg Headquarters in New York (unless the event takes place online-only). Bloomberg will bear all expenses related to the recipient attending this event.
- Recipients must complete a 14-week summer internship in New York, London, or Toronto for each year of their fellowship. This is a paid research internship and the project will be research-focused.
- Recipients may not be supported by any other industry fellowships for the duration of the Bloomberg fellowship. Non-industry funding may be permitted on a case-by-case basis.
- Recipients may not be employed outside of their university for the duration of the fellowship without explicit permission from Bloomberg.
- Bloomberg will not provide sponsorship for any U.S. visa. Those who have a self-sponsored work authorization (i.e., F-1 OPT or other EAD, etc.) covering the full internship or fellowship period are eligible to apply.
Application
Applications to the Bloomberg Data Science Ph.D. Fellowship will consist of the following documents:
- Curriculum vitae
- Research proposal
- A two-page research proposal (excluding references), which contains the proposed work directed at a technical audience.
- The research proposal should adhere to the formatting guidelines described in this Overleaf template. Failure to do so will result in the application not being reviewed.
- A reference letter from the applicant’s advisor or proposed advisor and, optionally, an additional referee.
- The applicant will be prompted to provide contact information of the referee at application submission time.
- The referee(s) should upload their letters in the system no later than the application deadline (they will receive an invitation at application submission time).
- It is the applicant’s responsibility to ensure the reference letter(s) are submitted by the application deadline.
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For more information, visit Bloomberg Data Science Ph.D. Fellowship.
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