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Facebook AI Research Residency Program in USA, 2018

Scholarship Description: The new Facebook AI Research (FAIR) Residency Program is now available for international students. The Facebook AI Research (FAIR) Residency Program is a one-year research training program with Facebook’s AI Research group, designed to give you hands-on experience of machine learning research.

The AI research residency experience is designed to prepare you for graduate programs in machine learning or to kickstart a research career in the field. This is a full-time program that cannot be undertaken in conjunction with university study or a full-time job.

Degree Level: This is a one-year research training program.

Available Subject: The residency is ideal preparation for applying to top graduate programs in machine learning. Exceptional performers are welcome to interview for full-time positions at Facebook.

Scholarship Benefits: Residents will be paid a competitive salary.

Eligible Nationalities: International students are eligible to apply for this program.

Entrance Requirements: Applicants must have a

  • Bachelor’s degree in a STEM field such as Mathematics, Statistics, Physics, Electrical Engineering, Computer Science, or equivalent practical experience.
  • Completed coursework in Linear Algebra, Probability, Calculus, or equivalent.
  • Coding experience in a general-purpose programming language, such as Python or C/C++.
  • Familiarity with a deep learning platform such as PyTorch, Caffe, Theano, or TensorFlow.
  • Ability to communicate complex research in a clear, precise, and actionable manner.

Preferred Qualifications

  • Research experience in machine learning or AI (as established for instance via publications and/or code releases).
  • Significant contributions to open-source projects, demonstrating strong math, engineering, statistics, or machine learning skills.
  • A strong track record of scholastic excellence.

Application Procedure: To apply to the 2018 Facebook AI Residency Program, you will need to complete the application and submit the following items:

  1. CV/Resume (including links to GitHub, professional web pages, publications, or blog posts as applicable)
  2. Personal statement
  3. Academic grade transcript

Note: All materials must be in PDF format.

Scholarship Link

Deadline: January 26, 2018

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