March 21, 2018
Faculty Members Affiliated With Machine Learning at CMU Win Google Faculty Research Awards 2017
Google Research just completed another round of their prestigious Google Faculty Research Awards. Virginia Smith, Ameet Talwalkar, David Held and Katerina Fragkiadaki faculty members affiliated with the Machine Learning Department at Carnegie Mellon University won Google Research Awards in Machine Learning and Machine Perception.
Google’s goal is to identify and strengthen long-term collaborative relationships with faculty working on problems that will impact how future generations use technology. Google Faculty Research Awards are structured as seed funding (up to $150,000 USD) to support graduate students for one year and are awarded as an unrestricted gift. The award is highly competitive - only 15% of applicants receive funding - and each proposal goes through a rigorous Google-wide review process.
Google is committed to developing new technologies to help our users find and use information. While we do significant in-house research and engineering, we also maintain strong ties with academic institutions worldwide pursuing innovative research in core areas relevant to our products and services. As part of that vision, the Google Faculty Research Awards Program aims to recognize and support world-class, permanent faculty pursuing cutting-edge research in areas of mutual interest.
On this round, Google received 1033 proposals covering 46 countries and over 360 universities. After expert reviews and committee discussions, Google decided to fund 152 projects. As an institution we are incredibly fortunate to have amazing faculty members working to tackle Machine Learning problems.
Congratulations to the well-deserving recipients of this round’s awards. If you are interested in applying for the next round (September 2018 deadline), please visit Research at Google's website for more information.
Machine Learning Department - firstname.lastname@example.org