Facebook Fellowship for graduate students

Every day Facebook confronts among the most complex technical problems and we believe that close relationships with the academy will enable us to address many of these problems at a fundamental level and solve them. As part of our ongoing commitment to academic relations, we are pleased to announce the creation of a Facebook Fellowship program to support graduate students in the 2010-2011 school year.

We are interested in a wide range of academic topics, including the following topical areas:

• Internet Economics: auction theory and algorithmic game theory relevant to online advertising auctions.
• Cloud Computing: storage, databases, and optimization for computing in a massively distributed environment.
• Social Computing: models, algorithms and systems around social networks, social media, social search and collaborative environments.
• Data Mining and Machine Learning: learning algorithms, feature generation, and evaluation methods to produce effective online and offline models of behavioral signals.
• Systems: Hardware, operating system, runtime, and language support for fast, scalable, efficient data centers.
• Information Retrieval: search algorithms, information extraction, question answering, cross-lingual retrieval and multimedia retrieval

• Full-time Ph.D. students in topical areas represented by these fellowships who are currently involved in on-going research.
• Students must be in Computer Science, Computer Engineering, Electrical Engineering, System Architecture, or a related area.
• Students must be enrolled during the academic year that the Fellowship is awarded.
• Students must be nominated by a faculty member.

www.facebook.com/careers/fellowship.php