Tech At Bloomberg

Bloomberg Data Science Ph.D. Fellowship

Bloomberg’s AI/ML researchers and engineers work on tough problems for the Bloomberg Terminal, bringing together scientific analysis and engineering firepower.

Bloomberg invites exceptional Ph.D. students working in relevant fields of study to apply for the Bloomberg Data Science Ph.D. Fellowship for the academic year of 2024-2025.

Introduction

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.

Read about our past Data Science Ph.D. Fellowship cohorts awarded in:

Topics of interest

Specific topics of interest for this year’s call include, but are not limited to (in alphabetical order):

AI Safety
Controllable summarization
Conversational search systems
Domain adaptation of pretrained models
Evaluation of generative models

Generative Information Retrieval
LLMs for planning and reasoning
Multimodal models for document understanding
Neural semantic parsing
Retrieval augmented generation

Reward modeling and alignment
Scalable and efficient LLM Inference
Time-series modeling

AI Safety
Controllable summarization
Conversational search systems
Domain adaptation of pretrained models
Evaluation of generative models
Generative Information Retrieval
LLMs for planning and reasoning

Multimodal models for document understanding
Neural semantic parsing
Retrieval augmented generation
Reward modeling and alignment
Scalable and efficient LLM Inference
Time-series modeling

AI Safety
Controllable summarization
Conversational search systems
Domain adaptation of pretrained models
Evaluation of generative models
Generative Information Retrieval
LLMs for planning and reasoning
Multimodal models for document understanding
Neural semantic parsing
Retrieval augmented generation
Reward modeling and alignment
Scalable and efficient LLM Inference
Time-series modeling

Ph.D. Grant Details

The fellowship will cover 100% of the recipient’s tuition.
Recipients will be given a stipend of USD 42,000 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 2025.
Recipients have the opportunity to renew their fellowship annually, for up to three years, at Bloomberg’s discretion.

Applicant eligibility criteria

Applicants must be full-time doctoral students during the 2024-2025 academic year, with an expected Ph.D. graduation date in or before the end of 2027.
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 or London 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 details

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.

Incomplete proposals will not be considered.

Important application dates and deadlines

Please upload your proposal here with all the necessary documents by May 30, 2024 (11:59 PM AoE). Please note the reference letters should also be submitted prior to this deadline (see above).

The recipients of the award will be informed by July 15, 2024.

APPLY NOW

If you have questions about the process, you can contact the Bloomberg Data Science Ph.D. Fellowship grant program organizers via e-mail at rdml@bloomberg.net.

Due to the volume of submissions, we cannot guarantee that we will provide individual feedback on your proposals.