Facebook Fellowship Program 2024-2025 is a fully funded scholarship for international students. This scholarship is offered for doctoral research studies. The scholarship covers two years of study and fees, an annual stipend, and conference travel aid.

The fellowships are offered in computer science, computer engineering, or a related area. The winners of the fellowship are entitled to receive two years of study and fees, an annual stipend, and conference travel aid.

Facebook Fellowship Program provides the recipient with the following benefits:

• $42,000 grant (one-time payment during each academic year)
• Tuition and fees will be paid for the academic year (up to two years/four semesters)
• Up to $5,000 in conference travel support
• Paid visit to Facebook headquarters for the annual Fellowship Summit
• Tuition money will be paid directly to the school, the stipend will be sent directly to the fellow, unless otherwise specified. Stipends are taxable based on local law.

To be eligible for the Facebook Fellowship Program, applicants must meet the following criteria:

• Required Language: English
• Eligible Countries: All world countries
• Students work must be related to one or more relevant disciplines (see research areas above)
• Full-time PhD students who are currently involved in ongoing research who are enrolled in an accredited university in any country
• Students must be enrolled during the academic year(s) the Fellowship is awarded
• First or second-year PhD students who fit the criteria of a minority group that is under-represented* in the technology sector have the option of being evaluated for an Emerging Scholar Award.
• Applications will be evaluated based on the strength of the student’s research statement, publication record, and recommendation letters.
• Also, read the Terms and Conditions for the Facebook Fellowship program.

Courses Offered

• Applied Statistics
• AR/VR Computer Graphics
• AR/VR Photonics and Optics
• AR/VR Future Technologies
• Blockchain and Cryptoeconomics
• Computational Social Science
• Computer Vision
• Database Systems
• Distributed Systems
• Economics and Computation
• Energy Efficient Video
• Compression
• Instagram/FB App Well-being and Safety
• Machine Learning
• Natural Language Processing
• Networking Applied Statistics
• Privacy and Data Use
• Programming Languages
• Security and Privacy
• Social and Economic Policy
• Spoken Language Processing and Audio Classification
• Systems for Machine Learning

For more information on our topical areas of interest please visit the website here.