Bloomberg invites exceptional Ph.D. students working in broadly-construed data science to apply for the Bloomberg Data Science Ph.D. Fellowship for the academic year of 2021-2022. Topics of interest include, but are not limited to:
- Data Science for Social Good
- Human Computation / Annotation
- Information Retrieval / Extraction
- Knowledge Graph
- Machine Learning
- Natural Language Processing
- Quantitative Finance
- Recommender Systems
The goal of this fellowship is to provide support and encouragement for a successful Ph.D. candidate, including groundbreaking publications in both academic journals and conference proceedings, application development, open source contributions, and/or other forms of research dissemination. In addition to the financial benefits, Bloomberg Ph.D. Fellows will also be supported through mentorship, career counseling, and research internships.
Read about our past Ph.D. Fellowship awardees starting in:
Ph.D. Grant Details
- The fellowship will cover 100% of the recipient’s tuition.
- Recipients will be given a stipend of USD 35,000 for their living expenses.
- Recipients will be given up to USD 5,000 to attend professional conferences.
- Recipients will have Bloomberg mentors and are required to complete a 14-week paid summer internship at Bloomberg starting in Summer 2022.
- 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 students during the 2021-2022 academic year, with an expected Ph.D. graduation date in or before the end of 2024.
- Applicants must attend a school in the United States of America, Canada, EU, EEA, UK or Switzerland during the duration of the award.
- Recipients must remain enrolled as full-time students for the duration of the award. If this status is not maintained, the remainder of the award will be forfeited.
- Recipients must attend the academic year kickoff event each fall at Bloomberg Headquarters in New York (unless the event only takes place online). Bloomberg will bear all expenses for this event.
- Recipients must complete a 14-week summer internship in New York or London, and be eligible to work in this capacity. This is a research internship and the project will be research-focused.
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 data science 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 the referee contact information at application submission time.
- The referee(s) should upload their letters in the system no later than the application deadline.
- The referee(s) should upload their letter to the same system and will be notified of this 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.
Please upload your proposal here with all the necessary documents by April 30, 2021 (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 announced by June 15, 2021.
If you have questions about the process, you can contact the Bloomberg Data Science Ph.D. Fellowship grant program organizers via e-mail at firstname.lastname@example.org. Due to the volume of submissions, we cannot guarantee that we will provide individual feedback on your proposals.