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.
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.
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.
Scholarship Description:
- Application
deadline: January
26, 2018 - Course
Level:
This is a one-year research training program. - Study
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
Award:
Residents will be paid a competitive salary. - Nationality:
International
students - Number
of Scholarships: Numbers not given. - Scholarship
can be taken in
USA (Facebook Menlo Park and New York locations)
Eligibility for the Scholarship:
Eligible
Countries: International
students are eligible to apply for this program.
Countries: International
students are eligible to apply for this program.
Entrance
Requirements: Applicants
must have a
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
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.
English
Language Requirements: 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.
Language Requirements: 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.
Application Procedure:
How
to Apply: To
apply to the 2018 Facebook AI Residency Program, you will need to complete the
application and submit the following items:
to Apply: To
apply to the 2018 Facebook AI Residency Program, you will need to complete the
application and submit the following items:
- CV/Resume
(including links to GitHub, professional web pages, publications, or blog
posts as applicable) - Personal
statement - Academic
grade transcript
Note:
All materials must be in PDF format.
All materials must be in PDF format.
