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Restricted Call: Google PhD Fellowship 2020

Closing date: 
Tuesday, 1 September 2020

Google has announced funding call for Google PhD Fellowships. Students receive named Fellowships which include a monetary award. The funds are given directly to the university to be distributed to cover the student’s expenses and stipend as appropriate. The funds are given as an unrestricted gift, and it is Google’s policy not to pay for overhead on unrestricted gifts. In addition, the student will be matched with a Google Research Mentor. There is no employee relationship between the student and Google as a result of receiving the fellowship. Fellowship recipients are not subject to intellectual property restrictions unless they complete an internship at Google. Fellowship recipients serving an internship are subject to the same intellectual property and other contractual obligations as any other Google intern. If a Fellowship student is interested, an internship at Google is encouraged, but not guaranteed or required.

The opportunity is open to full-time graduate students pursuing a PhD. Students must remain enrolled full-time in the PhD Programme for the duration of the Fellowship. Students cannot apply directly; they have to be nominated by their host university.

The Fellowships are awarded to students who represent the future of research in the following fields:

  • Algorithms, Optimizations and Markets
  • Computational Neuroscience
  • Health Research
  • Human-Computer Interaction
  • Machine Learning
  • Machine Perception, Speech Technology and Computer Vision
  • Mobile Computing
  • Natural Language Processing (including Information Retrieval and Extraction)
  • Privacy and Security
  • Programming Languages and Software Engineering
  • Quantum Computing
  • Structured Data and Database Management
  • Systems and Networking

 

More information on the call can be found here.

Internal deadline 1 September 2020

Funder deadline 30 September 2020

 

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

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  • Builds research capacity in data science and AI to tackle complex issues 
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  • Serves as a gateway for external organisations 

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