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

Applications are now open for the Bloomberg Data Science Ph.D. Fellowship for the 2027–2028 academic year, an opportunity designed to support exceptional doctoral students conducting advanced research in data science, artificial intelligence, machine learning and related technical fields.

Bloomberg is inviting outstanding Ph.D. students working in relevant areas of study to apply for the fellowship. The program connects doctoral researchers with Bloomberg’s AI and machine learning research community, where researchers and engineers work on complex scientific and engineering challenges associated with Bloomberg technology and the Bloomberg Terminal.

The Bloomberg Data Science Ph.D. Fellowship provides a comprehensive package of financial and professional support. Selected fellows receive 100% tuition coverage, a USD 45,000 stipend, mentorship from Bloomberg professionals, career support and a paid 14-week research internship at Bloomberg. Fellows may also have an opportunity to renew their fellowship annually for up to three years, subject to Bloomberg’s discretion.

Applications, including all required documents and reference letters, must be submitted by Friday, September 25, 2026, at 11:59 PM Anywhere on Earth (AoE).

About the Bloomberg Data Science Ph.D. Fellowship

The Bloomberg Data Science Ph.D. Fellowship is an academic engagement initiative aimed at supporting Ph.D. candidates whose research can contribute to advances in data science, artificial intelligence, machine learning and other areas relevant to Bloomberg’s technology and research ecosystem.

The fellowship’s broader goal is to encourage doctoral researchers to produce meaningful research outputs. Bloomberg specifically highlights groundbreaking research publications, open-source contributions and other forms of research dissemination as outcomes that the fellowship is intended to encourage.

Rather than offering financial support alone, Bloomberg combines funding with professional and research development opportunities. Fellows receive mentorship, career counseling and access to research internships, creating opportunities to connect academic research with practical technical challenges.

Bloomberg has operated previous cohorts of its Data Science Ph.D. Fellowship, including cohorts for the 2018–2019 through 2024–2025 academic years.

Research Areas and Topics of Interest

Applicants should be pursuing doctoral research relevant to Bloomberg’s areas of interest.

For the current call, Bloomberg has identified a broad range of research topics. The list is not necessarily exhaustive, meaning applicants working in closely related fields may also have research that fits the program.

The stated topics of interest include:

1. Agentic AI, Tool Use and Agent Infrastructure
   Research involving autonomous or semi-autonomous AI agents, the tools used by AI systems and the infrastructure required to develop and operate agent-based systems.
2. Agent Evaluation and LLM Judges
   Research exploring methods for evaluating AI agents and the use, reliability and development of large language models as evaluators.
3. Code Generation, Semantic Parsing and Text-to-API
   Work involving AI-assisted programming, translation of natural language into structured representations and systems that convert textual instructions into API interactions.
4. Efficient Models, Distillation and Inference
   Research focused on improving the efficiency of machine learning models, model compression and distillation, and efficient inference techniques.
5. Human-AI Collaboration, Data Annotation and Data-Centric AI
   Research examining how people and artificial intelligence systems interact, methods for improving data annotation and approaches that prioritize the quality and management of data used in AI development.
6. Information Retrieval, RAG and Agentic Search
   Research covering information retrieval, retrieval-augmented generation and advanced AI-driven search systems.
7. Information Synthesis, Summarization and Generation
   Work examining how AI systems can identify, combine, summarize and generate useful information from different sources.
8. Knowledge Graphs, Structured and Neuro-symbolic Reasoning
   Research involving structured knowledge representations and systems that combine neural methods with symbolic reasoning.
9. LLM Post-training, Domain Adaptation, Reasoning and Alignment
   Research exploring how large language models can be improved after initial training, adapted to particular domains, enhanced in their reasoning capabilities and aligned for intended uses.
10. Multimodal Models and Document Intelligence
    Research involving models capable of processing multiple forms of information and technologies for understanding complex documents.
11. Time-series Modeling, Forecasting and AI for Finance
    Research involving temporal data, predictive modeling, forecasting and applications of artificial intelligence within financial contexts.
12. Trustworthy, Responsible and Secure AI
    Research addressing the reliability, responsibility, security and trustworthiness of artificial intelligence systems.

These research areas make the fellowship particularly relevant to doctoral researchers working at the intersection of computer science, data science, artificial intelligence, machine learning, natural language processing, information retrieval and related disciplines.

Bloomberg Data Science Ph.D. Fellowship Benefits

One of the major attractions of the Bloomberg Data Science Ph.D. Fellowship is its combination of academic funding and professional research experience.

Selected fellows will receive the following benefits:

1. 100% Tuition Coverage

Bloomberg states that the fellowship will cover 100% of the recipient’s tuition.

This provides substantial financial support for doctoral candidates during the fellowship period and allows selected researchers to focus more extensively on their academic and research responsibilities.

2. USD 45,000 Stipend

Each recipient will receive a USD 45,000 stipend.

Bloomberg states that the stipend can support:

• Living expenses;
• Attendance at professional conferences; and
• Research-related expenses, including computer hardware.

The ability to use the funding for professional conferences and research equipment gives fellows additional flexibility in supporting their academic development.

3. Bloomberg Mentorship

Recipients will be connected with Bloomberg mentors.

This mentorship component provides fellows with professional connections to individuals working within Bloomberg’s research and technology environment while they continue their doctoral research.

4. Paid 14-Week Summer Internship

Fellows are required to complete a 14-week paid summer internship at Bloomberg for every year in which they are a fellow.

For the incoming fellowship cohort, the internship requirement begins in Summer 2027.

The internship will be research-focused and may take place in:

• New York;
• London; or
• Toronto.

This component provides fellows with the opportunity to undertake practical research within Bloomberg while continuing to build their doctoral research experience.

5. Potential Fellowship Renewal for Up to Three Years

Recipients may have the opportunity to renew the Bloomberg fellowship annually for up to three years.

However, renewal is not automatic and remains at Bloomberg’s discretion.

Who Is Eligible for the Bloomberg Data Science Ph.D. Fellowship?

Bloomberg has established specific eligibility requirements that applicants should review carefully before preparing an application.

Full-Time Doctoral Student Requirement

Applicants must be full-time doctoral students during the 2027–2028 academic year.

They must also have an expected Ph.D. graduation date in or before the end of 2030.

Continued Full-Time Enrollment

Successful applicants must remain enrolled as full-time students throughout the duration of the grant.

Bloomberg states that if a fellow fails to maintain full-time student status, the remaining portion of the grant will be forfeited.

Academic Year Kickoff Event

Recipients are required to attend the fellowship’s academic-year kickoff event each fall at Bloomberg Headquarters in New York, unless Bloomberg conducts the event entirely online.

Bloomberg will cover expenses associated with the fellow’s attendance at this event.

Mandatory Summer Research Internship

Recipients must complete a 14-week summer internship during each year of their Bloomberg fellowship.

Internships may take place in:

• New York;
• London; or
• Toronto.

Bloomberg states that these are paid, research-focused internships.

Restrictions on Other Industry Fellowships

Recipients cannot simultaneously receive support from another industry fellowship during the Bloomberg fellowship.

However, Bloomberg indicates that non-industry funding may be permitted on a case-by-case basis.

Outside Employment Restrictions

Fellows may not be employed outside their university during the fellowship unless they have received explicit permission from Bloomberg.

These requirements mean applicants should carefully review any existing funding arrangements, employment responsibilities or external fellowship commitments before applying.

Important U.S. Visa and Work Authorization Requirement

International applicants should pay particular attention to Bloomberg’s visa policy.

Bloomberg will not provide sponsorship for any U.S. visa for this fellowship.

Applicants who already possess self-sponsored work authorization covering the full internship or fellowship period may be eligible. Bloomberg provides examples including F-1 OPT or another Employment Authorization Document (EAD).

Because the fellowship requires an internship and may involve activities in the United States, prospective international applicants should carefully assess whether they can meet the applicable work authorization requirements before submitting an application.

Required Application Documents

Applications for the Bloomberg Data Science Ph.D. Fellowship must contain several documents.

Applicants need to prepare:

1. Curriculum Vitae

A current curriculum vitae (CV) must be submitted.

Applicants should ensure that their CV accurately presents their academic background, doctoral research, research experience, publications and other relevant academic or technical accomplishments.

2. Research Proposal

Applicants must submit a two-page research proposal, excluding references.

The proposal should describe the applicant’s proposed work and must be written for a technical audience.

Importantly, Bloomberg requires applicants to follow the formatting guidelines provided in its designated Overleaf application template.

Failure to comply with these formatting requirements will result in the application not being reviewed.

Applicants should therefore treat the formatting requirements as mandatory rather than optional.

3. Reference Letter

Applicants must obtain a reference letter from their:

• Current advisor; or
• Proposed advisor.

Applicants may also include an additional referee if desired.

During the application process, applicants will be asked to provide their referee’s contact information. The referee will subsequently receive an invitation allowing them to upload their recommendation letter through the application system.

All reference letters must be uploaded by the application deadline.

Bloomberg explicitly states that ensuring the reference letters are submitted on time is the applicant’s responsibility.

Incomplete Applications Will Not Be Considered

Applicants should carefully check their submissions before the deadline.

Bloomberg states that incomplete proposals will not be considered.

Candidates should therefore allow sufficient time before the deadline to:

• Finalize their research proposal;
• Check the required formatting;
• Update their curriculum vitae;
• Enter referee information;
• Confirm that reference letters have been submitted; and
• Complete the online application.

Waiting until the final hours could create unnecessary risks, particularly because reference letters must also be received before the deadline.

Bloomberg Data Science Ph.D. Fellowship Application Deadline

The application deadline for the Bloomberg Data Science Ph.D. Fellowship is:

Friday, September 25, 2026, at 11:59 PM Anywhere on Earth (AoE).

Applicants must upload their proposal and all necessary documents before this deadline.

Importantly, reference letters are subject to the same deadline and must also have been submitted before applications close.

When Will Successful Applicants Be Announced?

Bloomberg expects to inform fellowship recipients by:

Friday, December 18, 2026.

Applicants should therefore monitor the contact details used in their applications for communications relating to the outcome of the selection process.

How to Apply for the Bloomberg Data Science Ph.D. Fellowship

Applications are submitted online through Bloomberg’s designated fellowship application platform.

Applicants should:

1. Review the fellowship eligibility criteria carefully.
2. Confirm that they will be a full-time doctoral student during the 2027–2028 academic year.
3. Confirm that their expected Ph.D. graduation date is no later than the end of 2030.
4. Review Bloomberg’s listed research topics and assess the relevance of their proposed research.
5. Prepare an updated curriculum vitae.
6. Develop a two-page technical research proposal.
7. Format the research proposal according to Bloomberg’s required Overleaf template.
8. Identify an advisor or proposed advisor who can provide the required reference letter.
9. Provide the referee’s contact details through the application system.
10. Complete and submit the online application.
11. Follow up with the referee to ensure the recommendation letter is uploaded before the deadline.
12. Ensure the complete application is submitted no later than September 25, 2026, at 11:59 PM AoE.

Application portal: https://softconf.com/p/Bloomberg2027/

The source page contains an inconsistency worth noting: the detailed deadline section directs applicants to the Bloomberg2027 submission portal, while some “Apply Now” buttons shown elsewhere on the page link to a Bloomberg2026 portal. Because the 2027–2028 fellowship deadline section specifically directs candidates to Bloomberg2027, applicants should carefully verify the correct portal on Bloomberg’s official fellowship page before submitting.

Questions About the Application Process

Applicants with questions about the fellowship application process can contact the Bloomberg Data Science Ph.D. Fellowship grant program organizers at:

rdml@bloomberg.net

Bloomberg also notes that because of the volume of applications received, it cannot guarantee individual feedback on submitted proposals.

Why the Bloomberg Data Science Ph.D. Fellowship Is a Significant Opportunity

For doctoral researchers working in artificial intelligence, machine learning, data science and related disciplines, this fellowship offers more than conventional research funding.

The combination of full tuition funding, a USD 45,000 stipend, mentorship and a paid research internship creates a program that supports both academic progress and professional development.

The opportunity may be especially valuable to researchers interested in translating academic research into practical applications. Bloomberg’s areas of interest encompass several rapidly developing areas of AI and machine learning, ranging from agentic AI and large language models to multimodal systems, information retrieval, trustworthy AI and AI applications for finance.

The potential to renew the fellowship for up to three years also makes it particularly noteworthy for eligible doctoral researchers seeking longer-term research support, although continued funding remains at Bloomberg’s discretion.

Key Dates at a Glance

• Academic year: 2027–2028
• Application deadline: Friday, September 25, 2026
• Deadline time: 11:59 PM Anywhere on Earth (AoE)
• Reference letter deadline: September 25, 2026, before the application closes
• Award notification: By Friday, December 18, 2026
• First required summer internship: Summer 2027
• Internship duration: 14 weeks
• Potential fellowship duration: Renewable annually for up to three years at Bloomberg’s discretion.

APPLY NOW

Conclusion

The Bloomberg Data Science Ph.D. Fellowship 2027–2028 provides an outstanding funding and professional development opportunity for full-time doctoral students conducting research relevant to data science, artificial intelligence, machine learning and Bloomberg’s broader areas of technical interest.

Selected fellows will benefit from 100% tuition coverage, a USD 45,000 stipend, Bloomberg mentorship and a paid 14-week research internship, with the possibility of annual fellowship renewal for up to three years at Bloomberg’s discretion.

Applicants should pay particular attention to the program’s eligibility conditions, including continued full-time doctoral enrollment, restrictions on other industry fellowships and outside employment, the mandatory internship requirement and Bloomberg’s policy that it will not sponsor U.S. visas.

Candidates should also begin coordinating with their referees well before the deadline because recommendation letters must be received as part of the completed application.

The final deadline to submit a complete application is Friday, September 25, 2026, at 11:59 PM AoE. Eligible Ph.D. researchers interested in advancing research in AI, machine learning, data science and related fields should carefully review the requirements and prepare their applications ahead of the closing date.

Visit the OFY website for more Fellowship Opportunities.