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. 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. 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.
 
Important Dates:
 August 1, 2016: 2016 Fellowship program application open
 November 1, 2016, 6:00pm PST: Completed applications with reference letters due
 
Fellowship Award includes:
 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.
 
Eligibility Criteria:
 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.
 
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.
 Resume or CV with email, phone and mailing address, along with applicable coursework noted
 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
 Databases
 Distributed Systems, Networking & Operating Systems
 Economics & Computation
 Electrical Engineering
 
 
 
 
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