Bloomberg invites exceptional Ph.D. students working in broadly-construed data science, including natural language processing, machine learning, and artificial intelligence to apply for the Bloomberg Data Science Ph.D. Fellowship for the academic year of 2020-2021 (read about our Ph.D. Fellows from 2018-2019 and our current group of 2019-2020 Ph.D. Fellows). The goal of this fellowship is to provide support and encouragement of groundbreaking publications in both academic journals and conference proceedings.
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 USD 5,000 to attend professional conferences.
- Recipients will have Bloomberg mentors and will have to complete a 12-week summer internship at Bloomberg.
- Recipients will be given the opportunity to renew their fellowship annually, for up to three years total.
Applicant Eligibility Criteria
- Applicants must be full-time students during the 2020-2021 academic year, with an expected Ph.D. graduation date in or before 2023.
- 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 week each fall at Bloomberg Headquarters in New York. Bloomberg will bear all expenses for this week.
- Recipients must complete a 12-week summer internship in New York or London, and be eligible to work in this capacity. This is a research internship and the application process will be research-focused.
Applications to the Bloomberg Data Science Ph.D. Fellowship will consist of the following documents:
- Applicant’s curriculum vitae with links to publications (if available)
- A two-page research proposal (incl. footnotes/references), composed of the following:
- Title: Please provide names, contacts, and affiliations of you and your collaborators, along with the proposal title. If any Bloomberg employees were consulted in preparing the proposal, please provide their names as well.
- Technical Details: The bulk of the proposal should be directed at a technical data science audience, but we also ask that it include one or two paragraphs making the case to a non-expert. A typical proposal will contain:
- Abstract: problem statement and the applicant’s ideas
- Description: describe the proposed work and expected results
- Data Policy: Please briefly state the means by which the results produced by this funding will be disseminated (e.g., open source software, open access journals, conferences, and/or presentations).
- Applicants may submit up to three reference letters supporting the applicant; however, a reference letter from the applicant’s Ph.D. advisor or proposed advisor is mandatory (these must be submitted by the application deadline)
- (Optional) One-page resume of the applicant’s Ph.D. advisor
Please upload your proposal here with all the necessary documents by April 12, 2020 (11:59 PM EDT). Winners will be announced by May 22, 2020.
If you have questions about the program or how to construct your proposal, you can contact the Bloomberg Data Science Ph.D. Fellowship grant program review team via email at firstname.lastname@example.org.