Tech At Bloomberg

Postdoc Research Fellowship

Bloomberg invites postdoctoral researchers worldwide to apply for a Bloomberg Postdoc Research Fellowship in order to collaborate with Bloomberg researchers and engineers and leverage Bloomberg’s unique, large datasets — as well as financial products and services — in the research areas of natural language processing, information retrieval, machine learning, quantitative finance, and deep learning.

Introduction

Bloomberg invites applications for the inaugural 2021 Bloomberg Postdoc Research Fellowship, which supports research in artificial intelligence and data science, focusing on the broad areas of natural language processing, information retrieval, machine learning, quantitative finance, and deep learning.

The goal of the Bloomberg Postdoc Research Fellowship is to provide an opportunity for successful applicants to further their research and careers by closely collaborating with Bloomberg researchers and engineers on the applicant’s proposed research agenda. Successful applicants (“Fellows”) will be hired by Bloomberg for a fixed period of time, and the collaboration will focus on scientific publications, open source contributions, and/or other forms of research dissemination. Fellows will have the opportunity to leverage Bloomberg’s unique, large datasets, as well as financial products and services in their research.

We expect successful applicants to be able to showcase a well-established scientific presence, and to independently define, communicate, and execute a clear and coherent research strategy.

Topics of interest

Topics of interest include, but are not limited to the following:

Machine learning, including deep learning, meta-learning and continual learning
Natural language processing
Quantitative finance
Human computation

ML/NLP applied to the legal, finance, or journalism domains
Speech
Data science for social good

Information retrieval
Knowledge graphs
Recommender systems

Machine learning, including deep learning, meta-learning and continual learning
Natural language processing
Quantitative finance
Human computation
Information retrieval

Knowledge graphs
Recommender systems
ML/NLP applied to the legal, finance, or journalism domains
Speech
Data science for social good

Machine learning, including deep learning, meta-learning and continual learning
Natural language processing
Quantitative finance
Human computation
Information retrieval
Knowledge graphs
Recommender systems
ML/NLP applied to the legal, finance, or journalism domains
Speech
Data science for social good

Postdoc research fellowship details

Fellowship recipients will work closely with a team of Bloomberg researchers and engineers, with expertise in their proposal area. They’ll have access to Bloomberg data and computing resources, along with the the opportunity to collaborate with other Bloomberg researchers, engineers, data scientists, and domain experts.

The fellowship will cover a collaboration with Bloomberg; recipients will be hired by Bloomberg for a 12-month fixed-term position. The fellowship may be extended annually, up to three years total, by mutual agreement.

In addition, Bloomberg will provide a stipend for conference travel and other expenses.

Applicant eligibility criteria

As a part of this postdoc research fellowship, applicants must:

Be graduated doctoral students (Ph.D., M.D., D.Phil., D.Prof., Eng.D., or equivalent), who have obtained or will obtain their doctorate between August 2018 and August 2021, inclusive.
Attend an annual event each fall at Bloomberg Headquarters in New York (unless the event takes place online). Bloomberg will bear all expenses for this event.
Be able to be hired in a fixed-term position at the Bloomberg offices in either New York or London, and be eligible to work in this capacity.

Application details

Applications to the Bloomberg Postdoc Research Fellowship will (at a minimum) consist of your curriculum vitae, research proposal, and an optional reference letter from referee(s).

Here are some additional details about the research proposal and reference letter:

Research proposal

Your research proposal (excluding references) can be up to three (3) pages, and should contain the proposed work directed at a technical data science audience.

It should adhere to the formatting guidelines described in this this template on Overleaf. Failure to do so will result in the application not being reviewed.

Research proposal

Your research proposal (excluding references) can be up to three (3) pages, and should contain the proposed work directed at a technical data science audience.

It should adhere to the formatting guidelines described in this this template on Overleaf. Failure to do so will result in the application not being reviewed.

Reference letter

Your reference letter from referee(s) is optional.

As a part of this, you’ll:

Be prompted to provide the referee contact information at the time you submit your application.

The referee(s) will:

Upload these letters in the system no later than the application deadline, using the same system.
Receive a notification of this at the time of the application submission.

It’s the applicant’s responsibility to ensure the reference letter(s) are submitted by the application deadline.

Bloomberg will invite select candidates for interviews to learn more about their backgrounds and research proposals. Successfully completing these interviews is a condition for acceptance.

Application and deadlines

Please upload your proposal with all the necessary documents by June 15th, 2021 (11:59 PM AoE). Please note the reference letters should also be submitted prior to this deadline.

We will invite shortlisted candidates for interviews by July 16th, 2021, and aim to announce the award recipients by July 31st, 2021.

APPLY NOW

If you have questions about the process, you can contact the Bloomberg Postdoc Research Fellowship grant program organizers 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.