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 studying 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.
For more information about application/faculty nomination process visit: http://www.facebook.com/careers/fellowship.php