Mark Zuckerberg Scholarship for International Students


Facebook scholarship for students and fellowship program is intended to encourage and support promising doctoral students who participate in innovative and relevant research in the fields of computer science and engineering at an accredited university.

The program is open to students of every doctoral year. We also encourage people with different backgrounds and experiences to apply, especially those from traditionally underrepresented minority groups. Applications will be assessed based on the strength of the research declaration, the publication protocol, and the student’s recommendation letters.

Winners are entitled to two years of tuition and fees, an annual $ 42,000 allowance to cover travel and conference expenses, a paid visit to Facebook headquarters for the annual scholarship summit, and various ways to interact with Facebook researchers.


Mark Zuckerberg students Facebook scholarship and fellowship Award Includes

  • Tuition fees and other fees for the academic year (up to two years / four semesters)
  • An annual allowance of $ 42,000 to cover travel and living expenses.
  • Paid visit to the Facebook headquarters for the annual scholarship summit

Eligibility Criteria

  • Applicants must be full-time PhD students who are currently involved in ongoing research and are enrolled at an accredited university in any country.
  • Student work must be linked to one or more relevant disciplines (see research areas below).
  • Students must be enrolled in the academic year or years in which the scholarship is awarded
  • Students should not apply for Facebook scholarships if they are actively funded by Facebook through other sponsors or collaborations and / or if they are actively supervised (or supervised) by a Facebook researcher. If in doubt, send an email to Academicrelations@fb.com.

Mark Zuckerberg students Facebook scholarship Application

  • 500-word research summary that clearly identifies the area of ​​interest, relevance to the area, and applicability of Facebook’s research planned during the fellowship (see Research Areas below)
  • Curriculum vitae or resume with e-mail, telephone and postal address and the corresponding commented course
  • Two letters of recommendation. Please provide reference email addresses. A reference must come from an educational advisor

Research Areas for Mark Zuckerberg Facebook Scholarship for Students

Applications for the will be accepted from students with research in one of the following areas listed below:

Applied Statistics

They want to support students working on new statistical modeling and inference techniques. Research areas include, but are not limited to, large-scale inference, causal inference, graphical models, multi-arm bandits, deficiency and compression detection, change detection and forecasting, and time series analysis, optimization, regression, classification, grouping, graphic partitioning, entity binding, and entity deduplication. Applications of interest include, but are not limited to, user models, violation detection, experimentation, investigation, and efficient scanning.


AR/VR Photonics and Optics

They want to support students who are passionate about developing photonics and optics technologies that can be applied to visual VR and AR systems. Interesting topics include functional planar optical elements, highly efficient light sources, optical and photonic imaging devices as well as unique optical materials and structures.

AR/VR Privacy and Ethics

They want to support students whose research is at the interface of future technologies (especially augmented reality and virtual reality) and data protection and / or ethics. We also consider candidates who have established research programs for augmented reality, virtual reality or video presence technologies in a broader sense (either as a field of concentration or as methodological support). This includes research into the integration of new technologies into everyday life and the workplace.


Blockchain and Cryptocurrency

Mark Zuckerberg students Facebook scholarship for students want to support students who are working on new techniques to build decentralized databases with programmable resources. Interesting topics include all areas related to high security, scalability and security of technology, especially blockchain, intelligent contracts, finance and payment technologies, transactions, distributed systems and competition and formal methods.

Computational Social Science

Mark Zuckerberg students Facebook scholarship for students would like to support students working on advanced social science research with computer approaches. Interesting topics include theoretical and practical models and analyzes of social networks, information and influence cascades, causal inference in networks, computer communication in dyads and groups, norms and trust, political participation, social networks that are aware of the location and mobility, social processes after natural disasters and crises, well-being, social support and support for mental health.


Computer Graphics

They want to help students advance the state of the art in computer graphics and effective real-time rendering for augmented and virtual reality. Topics of interest include, but are not limited to, machine learning applications, ray tracing and ray tracing devices, basic physical shading, geometric processing and compression, image and video compression, perceptual rendering, high quality avatars, global lighting, scene pre-filtering and reduction the complexity of the representation.

Computer Vision

We would like to support students in advancing the state of the art in image processing. Interesting topics include image and video recognition (classification, recognition and segmentation), vision and language (visual answer to questions and visual dialogue) as well as visual thinking (prediction) directly, understanding of physics and understanding of skills). paid), extensive, poorly monitored learning and human understanding (posture estimation and action recognition).

Compute Storage and Efficiency

Mark Zuckerberg students Facebook scholarship for students also want to help students work on new techniques to improve the efficiency of large systems such as databases, file systems, caching systems, pubs / subsystems. This includes new scanning techniques to change calculation, memory and storage to optimize energy consumption and / or costs.

Distributed Systems

Mark Zuckerberg students Facebook scholarship for students want to support students who work on a variety of topics related to all types of distributed systems, including but not limited to fault tolerance, reliability, system administration, scaling, performance, efficiency, and security.

Economics and Computation

Mark Zuckerberg students Facebook scholarship for students support students who are passionate about theoretical or applied work in the areas of game theory, optimization, operational management and econometrics. Examples of particularly relevant research topics are the design of advertising auctions, the design of mechanisms for social welfare, large-scale combinatorial and convex optimization applications as well as the interface of econometrics and learning automatically, but we encourage and welcome inquiries from researchers working on other topics in the above mentioned disciplines work.

Instagram / Facebook application well-being and security

Mark Zuckerberg students Facebook scholarship for students want to help working students understand how social technology experiences play a role in the well-being and security of communities and societies. This includes, but is not limited to, research that helps us understand the problematic problems facing our communities, develop better content guidelines, evaluate possible interventions to protect our communities, or identify mechanisms (e.g. social support, social comparison) ), through which the technology to be used directly affects well-being.

Machine Learning

Facebook also want to support students who are working to advance the state of machine learning. Interesting topics include reinforcement learning, deep learning, causality, non-convex optimization, multitasking, curriculum learning, integration and metrics learning, speech recognition, cost-sensitive learning and structured prediction.

Natural Language Processing

Mark Zuckerberg students Facebook scholarship for students would like to support students with interesting topics, including: machine translation, multilingual learning, learning through representation, recognition of named entities, text classification, semantic analysis, summary, dialog systems.


They will also be supporting students who are active in the research and development of a scalable, efficient, reliable and secure cable network infrastructure in data centers, large areas (IP and optical) and Internet connections. Network technologies cover the entire network stack (L1-L7); They range from the hardware design of chips / interfaces / systems to distributed systems for control, data and management plans. And covers the entire network lifecycle, from planning / design / analysis to deployment / implementation / migration to monitoring / troubleshooting / visualization. It also includes applications from related disciplines such as machine learning, optimization and algorithmic theory, as well as formal verification of the network domain.

Privacy and Data Use

They want to help working students understand privacy and usage, especially how to make data more transparent to users and how to give people more control over their data. This includes researching the transparency of online behavioral advertising.

Programming Languages

Applications from students interested in the design and implementation of programming languages ​​and related tools are welcome. Interesting topics include: type systems, static analysis, optimization of compilation, execution times, formal specification and verification as well as high support for functional levels such as competition, confidentiality of data, control of secondary and probabilistic and differentiable programming effects.


They want to support students with an established command of the field and a passion for solving complex security problems. Interesting topics include: systems, software and network security; Privacy; Cryptography; Detection and mitigation of malware; Authentication and authorization.

Social and Economic Policy

Mark Zuckerberg students Facebook scholarship for students want to support students who are working to advance relevant research in the areas of social science policy, policy analysis and legal analysis. People who conduct research using qualitative and quantitative methods are encouraged to apply. Interesting topics include online security for children and adults, relationships between online communities and international security and foreign policy issues, the role of social media and technology in political, economic and social systems and the possible impact of information (or Misinformation) on health and well-being.

Spoken Language Processing and Audio Classification

They want to support students working in speech and audio processing, especially those who advance the state of the art in human-computer interaction, human-human interaction and content understanding video. Interesting topics include speech recognition and synthesis, understanding of the spoken language, dialogue systems, analysis of the hearing scene, detection of acoustic events and audiovisual modeling and mood analysis.

Structured Data Stores

They welcome applicants working on new techniques to improve the efficiency and reliability of large systems such as databases, key / value stores, file systems, and caching systems. Pubs / subsystems and storage security. This includes researching new techniques to switch work between processor, memory and memory to optimize power consumption, cost or developer efficiency.

Systems for Machine Learning

They accept applications from students working in interdisciplinary research to support machine learning on a large scale. Research topics of interest include but are not limited to, hardware and software techniques to improve the inference of machine learning and training in data centers or peripherals. Examples of projects include research on specializing materials for machine learning, compilation technologies for deep learning platforms, and distributed training/learning techniques. We are also interested in research that focuses on workload characterization and performance analysis of real machine learning applications.

Contact for Application

If you have any questions, suggestions, or you want to apply for the Mark Zuckerberg students Facebook scholarship for a student, please contact facebookfellowship@fb.com


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