Facebook Fellowship Program

Facebook Fellowship Program
Name	Facebook Fellowship Program
Founder	Meta Platforms, Inc.
Formed	2013
Purpose	Graduate research support in computer science, electrical engineering, data science
Headquarters	Menlo Park, California
Region served	Worldwide

Facebook Fellowship Program

The Facebook Fellowship Program is a graduate research fellowship established by Meta Platforms, Inc. to support doctoral students pursuing research in areas related to artificial intelligence, computer vision, natural language processing, human–computer interaction, systems engineering, and related fields. The program provides multi-year financial support, networking opportunities, and collaboration pathways with researchers at Meta Platforms, Inc. research labs such as Facebook AI Research and regional offices including Menlo Park, California, London, and Paris. Recipients have included students from institutions like Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, and University of Cambridge.

Overview

The program funds doctoral candidates advancing work aligned with priorities at research centers such as Facebook AI Research, Meta Reality Labs Research, and teams affiliated with projects like PyTorch and Graph Neural Networks. It bridges academic environments at universities including Carnegie Mellon University, University of Toronto, ETH Zurich, and Tsinghua University with industrial research groups including DeepMind-adjacent collaborations and partnerships seen in initiatives with OpenAI-adjacent communities. The Fellowship emphasizes research topics spanning from machine learning-driven approaches to problems in computer vision, speech recognition, robotics, and privacy engineering.

Eligibility and Application Process

Eligible applicants are enrolled PhD students or prospective doctoral candidates at institutions such as Harvard University, Princeton University, University of Oxford, Imperial College London, and Peking University who are conducting research in areas relevant to Meta’s research labs. Applicants supply materials including a research proposal, curriculum vitae, letters of recommendation from faculty at places like University of Illinois Urbana-Champaign or University of Washington, and samples of publications in conferences such as NeurIPS, ICML, ICLR, CVPR, ACL, and SIGCHI. The timetable aligns with academic calendars of institutions including Columbia University and University of Michigan, with submission windows promoted through academic networks and conferences such as SIGGRAPH and AAAI.

Funding and Benefits

Fellowship benefits commonly include multi-year stipend support comparable to awards like the NSF Graduate Research Fellowship and tuition coverage similar to institutional fellowships at Gates Cambridge Scholarship-host universities. Additional resources often comprise travel grants for conferences such as NeurIPS and ICML, internship opportunities at Meta research sites including Menlo Park, California and Seattle, Washington, and mentorship from researchers affiliated with groups like Facebook AI Research and collaborators from labs at University of Toronto or Allen Institute for AI. Fellows may receive cloud credits interoperable with platforms used by teams such as Google Research and Microsoft Research for large-scale experiments.

Selection Criteria and Evaluation

Selection hinges on demonstrated research excellence as evidenced by publications in venues such as NeurIPS, ICML, CVPR, ACL, SIGIR, and KDD; letters of recommendation from advisors at institutions including Stanford University and Massachusetts Institute of Technology; and a research proposal that addresses challenges recognized by communities in machine learning and computer vision. Committees composed of researchers from Facebook AI Research, partner labs, and academic reviewers assess technical merit, originality, potential impact, and alignment with topics pursued at centers like Meta Reality Labs Research and laboratories at Carnegie Mellon University. Diversity and inclusion considerations draw on models used by programs such as the Fulbright Program and institutional initiatives at universities like Yale University.

Notable Recipients and Impact

Recipients have included doctoral students who later joined research groups at Meta Platforms, Inc., academic faculties at institutions such as University of California, Berkeley and Princeton University, or industry labs including Google Research, Microsoft Research, and DeepMind. Work supported by the fellowship has contributed to publications at NeurIPS, ICML, CVPR, and ACL and to open-source frameworks used across communities including PyTorch and projects inspired by Graph Neural Networks. The program’s influence parallels the effects of fellowships like the Schmidt Science Fellows and the NSF Graduate Research Fellowship in creating pipelines between top-tier universities and industrial research labs.

Program History and Evolution

Launched in 2013 by Meta Platforms, Inc. amid rapid growth of interest in deep learning and large-scale systems, the fellowship evolved to encompass new domains such as augmented reality and virtual reality in coordination with efforts at Meta Reality Labs Research. Over time the program adapted application processes to align with conference cycles at venues like NeurIPS and ICML and expanded global outreach to students at institutions including Tsinghua University, National University of Singapore, and University of Tokyo. The trajectory reflects broader trends in collaborations among organizations such as Microsoft Research, Google Research, OpenAI, and academic centers across North America, Europe, and Asia.

Category:Scholarships