The Bloomberg Data Science Ph.D. Fellowship is a prestigious program designed to support and encourage exceptional doctoral students who are conducting groundbreaking research in areas relevant to Bloomberg. The fellowship aims to foster collaboration between academia and industry, empowering students to produce high-impact research publications and open-source contributions.
Fellows receive funding and are paired with a mentor from Bloomberg’s Data Science team, providing a unique opportunity to apply their academic research to real-world challenges.
Financial Benefits
- Generous Stipend: A significant stipend to support living and research expenses for one academic year.
- Tuition and Fees: A grant to cover university tuition and fees.
- Conference Travel: Funding for travel to present research at academic conferences.
- Bloomberg Mentor: Direct mentorship from a senior data scientist at Bloomberg who will provide guidance and support.
- Internship: A paid summer internship at a Bloomberg office is a key component of the fellowship.
Eligibility Criteria
- Enrollment: Must be a full-time Ph.D. student at an accredited university.
- Research Area: Research must be in a relevant field, such as Natural Language Processing (NLP), Machine Learning, Information Retrieval, Data Mining, or a related area.
- Timeline: Students should have at least one full academic year remaining in their Ph.D. program at the start of the fellowship.
- Publications: A strong record of research and publications is highly valued.
Application Process
Application Deadline: December 14, 2025.
The application requires a CV, a research statement, up to three publications, and letters of recommendation, including one from your Ph.D. advisor. Applications are submitted through Bloomberg’s online portal.
Application Link:
For complete details on research areas and to submit your application, please visit the official fellowship page.
Click here to apply for the Bloomberg Data Science Ph.D. Fellowship
