Fully Funded Fellowships in Computer Science for Doctoral Students from Facebook in the US

Facebook is inviting promising doctoral students who are engaged in innovative and relevant research areas related to computer science and engineering to apply for The Facebook Fellowship Program and Emerging Scholar Awards.

Research areas:

[1] Applied Statistics: novel techniques in statistical modeling and inference.

[2] AR/VR Photonics and Optics: developing technology in Photonics and Optics that can be applied to VR and AR visual systems.

[3] Computational Social Science: advancing research in the social sciences with computational approaches.

[4] Computer Vision: advancing the state-of-the-art in computer vision.

[5] Compute Storage and Efficiency: novel techniques for improving the efficiency of large scale systems such as databases, file systems, caching systems, and pub/sub systems.

[6] Distributed Systems: to support students working on a broad set of topics related to all kinds of distributed systems, including but not limited to fault tolerance, reliability, system management, scale, performance, efficiency, and security.

[7] Economics and Computation: using mathematical and computational tools from the areas of game theory, optimization, operations management and econometrics.

[8] Hardware and Software Infrastructure for Machine Learning: interdisciplinary research to support machine learning at scale.

[9] Machine Learning: advancing the state-of-the-art in machine learning.

[10] Natural Language Processing: machine translation, multilingual learning, representation learning, named entity recognition, text classification, semantic parsing, summarization, and dialog systems.

[11] Networking and Connectivity: the research and development of scalable, fast, reliable, and efficient systems across all areas of networking.

[12] Programming Languages: the design and implementation of programming languages and related tools.

[13] Security/Privacy: solving complex security challenges.

[14] Spoken Language Processing and Audio Classification: speech and audio processing, particularly those advancing the state of the art in human-computer interaction, human-human interaction, and video content understanding.

[15] UX/Instagram Well-being: understanding how online communities and technology use play a role in well-being.

[16] Research outside the above: relevant work in areas that may not align with the research priorities highlighted above.

Eligibility criteria:

[1] Full-time PhD students who are currently involved in on-going research who are enrolled in an accredited university in any country

[2] Students work must be related to one or more relevant disciplines

[3] Students must be enrolled during the academic year(s) the Fellowship is awarded

[4] 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