Applications are currently being accepted for the 2021 Facebook Fellowship Program. This program was developed to support and encourage aspiring doctoral students who are involved in relevant, groundbreaking research in areas such as engineering and computer science.

These awards are granted to students in any year of PhD study, and applicants may be from a long list of accepted universities. However, the award is designed to support minority groups who are traditionally underrepresented.

Each application will be evaluated based on the strength of the research statement, recommendation letters, and publication records, if available. Award winners will receive two full years of paid tuition and fees, along with a stipend of $37,000 and $5,000 in travel and conference support. Applicants will also have all of their expenses paid for a visit to Facebook headquarters during the yearly Fellowship summit.

To be eligible to apply, interested candidates must be full-time students currently enrolled in a Ph.D. program and an ongoing research study. Applicants from any accredited university in any country may apply. The research area must be relevant to a specific set of disciplines and research areas, and the candidate must be actively enrolled during the year in which the fellowship is awarded.

Acceptable research areas include Applied Statistics, AR/VR Privacy and Ethics, Ar/VR Photonics and Optics, Blockchain, Cryptocurrency, Computer Vision, Computer Graphics, Compute Storage and Efficiency, Computational Social Science, Distributed Systems, Instagram/Facebook App Well-being and Safety, Natural Language Processing, Machine Learning, Economics and Computation, Networking and Connectivity, Programming Languages, Privacy and Data Use, Security/Privacy, Social and Economic Policy, Structured Data Stores, Spoken Language Processing and Audio Classification, or Systems for Machine Learning.

To apply, candidates should submit a research summary of no more than 400 words. This should state the area of focus and indicate its importance to the field and Facebook during the anticipated research. Candidates should also submit a CV with relevant contact information and two letters of recommendation, one of which must be from an academic advisor.

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The Facebook Fellowship Program is designed to encourage upcoming doctoral students who are involved in research in relevant topics such as computer science and engineering. These fellowships support these students as they pursue new areas of inquiry and develop insightful solutions to real-world problems.

Applicants are invited from candidates in any year of PhD study, but because fellows with research and publication records are preferred, those who are further along in their courses of study will be given preference. Applicants who are less advanced in their fields, or those who possess the criteria of minority groups that are traditionally underrepresented in the technology sector, may also be evaluated for Emerging Scholar Awards.

Fellows should be currently involved in ongoing research and be enrolled in any accredited university in any country. Work must be related to one or more relevant disciplines. Relevant disciplines include Applied Statistics, AR/VR Photonics and Optics, CommAI, Computational Social Science, Computer Vision, Compute Storage and Efficiency, Distributed Systems, Economics and Computation, Hardware and Software Infrastructure for Machine Learning, Machine Learning, Natural Language Processing, Networking and Connectivity, Programming Languages, Security/Privacy, Spoken Language Processing and Audio Classification, and UX/Instagram Well-Being.

Each fellow will receive two years of full tuition and fee funding, as well as an annual stipend of $37,000 per year and $5,000 in conference travel support. All fellows will also receive paid visits to Facebook headquarters for the annual Fellowship Summit.

The application process will open on August 10, 2020 and end on October 2, 2020. To apply, candidates should submit a one- to two- page research summary which identifies the area of focus, as well as highlights its relevance to the field and to Facebook. Applicants must also submit a resume or CV with applicable contact information, as well as two letters of recommendation. One of these letters must be from an academic advisor. Questions about the application process or the program itself may be directed to facebookfellowship@fb.com.

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The Facebook Artificial Intelligence (AI) Research Residency Program seeks applicants for its 2018-2019 program. This one-year residency is designed to give candidates hands-on experience in machine learning research. Successful residents are paired with senior researchers or engineers, who will serve as mentors. Throughout the duration of the program, researchers will work to research a problem of mutual interest and incorporate new techniques to solve that problem.

Collaboration will occur both with the mentor and with other departments. Research will be communicated by the submission of papers to top academic venues, such as NIPS, ICML, ICLR, CVPR, and others, as well as open-source code releases. This is a full-time program that cannot be undertaken with any other employment or studies.

Upon completion of this residency, participants will be prepared for graduate programs in machine learning or to begin a successful research career in the field. Applications are encouraged from individuals with strong technical backgrounds who are passionate about AI research. Applicants with prior experience in machine learning are given preference, but this is not a requirement. Those with backgrounds in math, physics, finance, economics, linguistics, computational social science, and bioinformatics are encouraged to apply.

The successful applicant will have a Bachelor’s degree in a STEM field and coursework in Linear Algebra, Probability, and Calculus. He or she will also have coding experience in languages such as Python or C/C++. They will also have familiarity with platforms such as PyTorch, Caffee, Theano, or TensorFlow.

Residents will be based in Facebook Menlo Park and New York. If work visas are required, they may be obtained. Residents will learn how to perform research in deep learning and AI, and will understand prior work and existing literature. They will work with research mentors and translate ideas into code. They will also write up research results in academic papers.

Applicants should complete the online application and submit a CV/resume that includes links to GitHub, professional webpages, publications, or blog posts. They should also provide personal statements and academic transcripts.

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