Application Deadline:November 1, 2016, 6:00pm PST
The Facebook Fellowship Program is designed to encourage and support promising doctoral students who are engaged in innovative and relevant research in areas related to computer science and engineering.
Applications will be evaluated based on the strength of the student’s research statement, publication record, and recommendation letters. While open to students in any year of PhD study, heavy emphasis on research and publication record favors students who are further along in their course of study.
- Full-time PhD students who are currently involved in on-going research.
- Students work must be related to one or more relevant disciplines.
- Students must be enrolled during the academic year(s) that the Fellowship is awarded.
- The Fellowship Program is open to PhD students globally who are enrolled in an accredited university in any country.
- Winners of the fellowship are entitled to receive two years of tuition and fees paid, a stipend of $37,000 each year, and up to $5,000 in conference travel support.
- Tuition and fees will be paid for the academic year (up to two years).
- $37K grant (one-time payment during each academic year).
- Up to $5,000 in conference travel support.
- Paid visit to Facebook HQ to present research.
- Opportunity for a paid internship at Facebook.
Applications must include:
- 1-2 page research summary which clearly identifies the area of focus, importance to the field, and applicability to Facebook of the anticipated research during the award. Please reference the topical areas below.
- Student’s CV (with email, phone and mailing address). Please include applicable coursework.
- 2 letters of recommendation (one must be from an academic advisor).
We are accepting applications from students with research related to one of the following areas:
- Artificial Intelligence
- Computer Vision
- Connectivity Hardware
- Data Mining
- Distributed Systems, Networking & Operating Systems
- Economics & Computation
- Electrical Engineering
- Human-Computer Interaction
- Machine Learning
- Natural Language Processing & Speech Technologies
- Programming Languages & Compilers
- Security & Privacy
- Social Computing
- Software Engineering
For More Information: