Bloomberg Data Science Ph.D. Fellowship 2027–2028 (Fully Funded with $45,000 Stipend, Full Tuition & Paid Internship)

Applications are now open for the Bloomberg Data Science Ph.D. Fellowship 2027–2028. This prestigious fellowship supports exceptional doctoral students conducting cutting-edge research in artificial intelligence, machine learning, data science, information retrieval, and related technical fields.

Bloomberg's AI and machine learning researchers work on complex scientific and engineering challenges that power products such as the Bloomberg Terminal. Through this fellowship, Bloomberg aims to support outstanding Ph.D. researchers whose work has the potential to advance both fundamental and applied research in data science.

Beyond generous financial support, the fellowship provides mentorship from Bloomberg researchers, career guidance, and a paid research internship, giving fellows the opportunity to collaborate with leading experts while continuing their doctoral studies. The programme is designed to encourage impactful research publications, open-source contributions, and other forms of research dissemination that advance the field of data science.

About the Fellowship

The Bloomberg Data Science Ph.D. Fellowship is one of Bloomberg's flagship academic engagement initiatives. It connects talented doctoral researchers with Bloomberg's global research community, creating opportunities to translate academic research into practical innovations.

Selected fellows remain enrolled at their universities while receiving funding and professional support from Bloomberg. Throughout the fellowship, participants engage with Bloomberg researchers and engineers working on state-of-the-art artificial intelligence systems, machine learning models, natural language processing, information retrieval, financial technologies, and large-scale data infrastructure.

In addition to financial assistance, Bloomberg provides structured mentorship, career counseling, and opportunities to participate in collaborative research. Fellows also complete a paid 14-week research internship where they work alongside Bloomberg's AI and machine learning teams on real-world research challenges.

Fellowship Benefits

Successful applicants will receive:

• Full tuition coverage.
• Annual stipend of USD 45,000.
• Paid 14-week research internship at Bloomberg.
• Individual mentorship from Bloomberg researchers.
• Career development and professional guidance.
• Opportunities to collaborate with leading AI and machine learning experts.
• Access to Bloomberg's research community.
• Potential annual renewal for up to three years, subject to Bloomberg's discretion.

The fellowship is designed not only to reduce financial barriers for doctoral students but also to provide valuable industry experience and long-term professional development.

Research Areas

Bloomberg welcomes applications from students conducting research in topics including, but not limited to:

• Agentic AI, tool use, and agent infrastructure.
• Agent evaluation and LLM judges.
• Code generation.
• Semantic parsing.
• Text-to-API systems.
• Efficient machine learning models.
• Model distillation.
• AI inference optimization.
• Human-AI collaboration.
• Data annotation.
• Data-centric AI.
• Information retrieval.
• Retrieval-Augmented Generation (RAG).
• Agentic search.
• Information synthesis.
• Text summarization.
• Natural language generation.
• Knowledge graphs.
• Structured reasoning.
• Neuro-symbolic reasoning.
• Large language models.
• Machine learning.
• Artificial intelligence.
• Data science.

Bloomberg encourages research that advances both theoretical understanding and practical applications in AI and data science.

Eligibility Criteria

Applicants must:

• Be enrolled as a full-time Ph.D. student during the 2027–2028 academic year.
• Expect to graduate on or before the end of 2030.
• Remain enrolled as a full-time doctoral student throughout the fellowship period.
• Conduct research in areas relevant to Bloomberg's data science interests.

In addition:

• Fellows may not simultaneously receive another industry-sponsored fellowship during the Bloomberg fellowship period.
• Non-industry funding may be permitted on a case-by-case basis.
• Fellows may not undertake outside employment during the fellowship without Bloomberg's explicit approval.

The fellowship welcomes outstanding doctoral researchers from universities around the world whose work aligns with Bloomberg's research priorities.

Required Application Materials

Applications typically include:

• Completed online application form.
• Curriculum Vitae (CV).
• Research statement.
• Research publications or preprints, where applicable.
• Academic transcripts.
• Recommendation letters.
• Additional supporting documents requested during the application process.

Applicants should carefully review the official application instructions to ensure all required materials are submitted before the deadline.

Selection Criteria

Applications will be evaluated based on:

• Academic excellence.
• Research quality and originality.
• Relevance of research to Bloomberg's focus areas.
• Publication record and research potential.
• Strength of recommendation letters.
• Potential to contribute to advances in AI and data science.

How to Apply

To apply:

1. Visit the official Bloomberg Data Science Ph.D. Fellowship application portal.
2. Review the fellowship eligibility requirements and research topics.
3. Complete the online application form.
4. Upload all required supporting documents.
5. Arrange for recommendation letters to be submitted before the deadline.
6. Review your application carefully.
7. Submit your application by September 25, 2026.