The Bloomberg Data Science PhD Fellowship offers full funding, a USD 45,000 stipend, and paid internships for exceptional PhD students in AI and data science. Learn eligibility, benefits, key dates, and how to apply for the Bloomberg Data Science PhD Fellowship 2026–2027.Designed to empower exceptional PhD candidates, the fellowship provides financial support, world-class mentorship, and access to Bloomberg’s cutting-edge research environment.
For students who want to pioneer groundbreaking ideas and publish impactful scientific work, the Bloomberg Data Science PhD Fellowship stands out as a transformative career opportunity.
About the Bloomberg Data Science PhD Fellowship
The Bloomberg Data Science PhD Fellowship aims to support PhD students who are ready to produce high-impact research through publications, open-source contributions, and innovative technological solutions. Bloomberg’s AI/ML researchers and engineers collaborate with fellows to solve complex, real-world challenges that power the Bloomberg Terminal and global financial markets.
Fellows benefit from academic support, industry mentorship, career guidance, and opportunities for research internships that bridge academia and industry. Past cohorts from 2018–2025 have produced influential work in AI, agentic systems, data science, and computational finance.
Topics of Interest for the Bloomberg Data Science PhD Fellowship
Each year, the fellowship highlights priority research areas where innovation is highly encouraged. For 2026–2027, the Bloomberg Data Science PhD Fellowship is seeking proposals in fields including:
- Agentic AI and LLM reasoning
- Information retrieval and conversational AI systems
- Code generation, semantic parsing, and Text2API
- Human-AI interaction and data annotation
- Knowledge graphs and structured reasoning
- Time-series modelling and AI for finance
- Trustworthy AI, interpretability, and model alignment
- Multi-modal models for document understanding
- Summarization and content-generation systems
- Agent evaluation and LLM judges
These topics cover both foundational AI and applied machine learning research, offering candidates broad flexibility to propose innovative work.
Grant Benefits of the Bloomberg Data Science PhD Fellowship
The Bloomberg Data Science PhD Fellowship is fully funded and offers generous financial and professional support:
- 100% tuition coverage for the duration of the fellowship
- USD 45,000 annual stipend for living costs, conference travel, and research-related expenses
- 14-week paid summer internship at Bloomberg (required each year of the fellowship)
- Access to Bloomberg research mentors, industry experts, and career development resources
- Renewability for up to three years based on performance and Bloomberg’s discretion
- This level of support allows fellows to focus entirely on producing groundbreaking research without financial stress.
Eligibility Criteria for the Bloomberg Data Science PhD Fellowship
To qualify for the Bloomberg Data Science PhD Fellowship, applicants must:
- Be full-time PhD students during the 2026–2027 academic year
- Expect to graduate no later than 2029
- Remain continuously enrolled as full-time doctoral candidates
- Attend an annual kickoff event at Bloomberg Headquarters in New York (with travel fully sponsored)
- Complete a paid 14-week internship in New York, London, or Toronto each summer
- Not hold another industry-sponsored fellowship concurrently
- Have appropriate self-sponsored work authorization (Bloomberg does not provide visa sponsorship)
– Students with non-industry funding may still be considered on a case-by-case basis.
How to Apply for the Bloomberg Data Science PhD Fellowship
The application package for the Bloomberg Data Science PhD Fellowship requires:
- Curriculum vitae
- A two-page research proposal, following the official Overleaf formatting guidelines
- Reference letter(s) from the advisor or proposed advisor—submitted before the deadline
– Apply HERE
Applicants must ensure that referees submit their letters on time. Incomplete applications will not be reviewed.
Key Dates for the Bloomberg Data Science PhD Fellowship
Application Deadline: December 14, 2025 (11:59 PM AoE)
Notification of Results: February 9, 2026
Candidates are strongly encouraged to prepare early and follow all formatting instructions carefully.
Why Apply to the Bloomberg Data Science PhD Fellowship?
The Bloomberg Data Science PhD Fellowship is ideal for ambitious researchers aiming to contribute to the future of AI and data science. It offers unmatched exposure to high-impact problems, research excellence, global collaboration, and lucrative professional growth opportunities.
With generous funding, mentorship, and internships, fellows gain both academic prestige and industry-ready experience.
For more information, click HERE
