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Facebook AI Research Residency Program for International Students in USA, 2019

Facebook AI Research Residency Program for International Students in USA, 2019

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 in machine learning research.

The FAIR Residency Program is now available for international students. This is a full-time program that cannot be undertaken in conjunction with a university study or a full-time job.

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Fantastic pogram for international students.

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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.

Application Deadline: January 31, 2020

Eligibility 

Applicants must have a bachelors 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.
  • 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.
  • 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.
  • The program is open to study the research degree in machine learning.

How to Apply

To apply to the 2020 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
  4. Note: All materials must be in PDF format.

Applicants whose first language is not English are usually required to provide evidence of proficiency in English at the higher level required by the University.

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