2023 Meta Research PhD Fellowship for Doctoral Students Worldwide
Deadline: September 20, 2022.
The Meta Research PhD Fellowship is a global program designed to encourage and support promising doctoral students who are engaged in innovative and relevant research in areas related to computer science and engineering at an accredited university.
The program is open to students in any year of their PhD study. We also encourage people of diverse backgrounds and experiences to apply, especially those from traditionally under-represented minority groups. Applications are evaluated based on the strength of the student’s research statement, publication record, and recommendation letters.
ELIGIBILITY
You are eligible to apply for the program as long as you are:
- Enrolled in a PhD program at an accredited university in the fall following the application cycle (i.e., Fall 2023)
- Engaged in research related to computer science and engineering in areas relevant to Meta, as specified in the Available Fellowships section
The program is open to students at all accredited universities around the world.
BENEFITS
Winners of the Fellowship are entitled to receive two years of paid tuition and fees, a $42,000 annual stipend to cover living costs, various opportunities to engage with Meta researchers, and an invitation to the annual Fellowship Summit.
APPLICATION
Applications Must Include
- CV or resume. There is no page limit to the resume or CV. In this case, it may be worthwhile to have a longer CV to complement your achievements or any publications you would like to share.
- Research statement. Statements of research should be 500 words or less and should clearly identify your area of focus, its importance to the field, and its applicability to Meta as it pertains to one of the Available Fellowships. Note that references or citations count toward the 500-word limit. To optimize the word count for research statements, references and citations should be added to CVs, which do not have a word or page limit.
- Two letters of recommendation. One of the letters of recommendation needs to come from a PhD advisor or a research advisor. The other may come from another professor or an industry contact.
