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The Cornell Database Group is studying research questions that relate to all aspects of database management. This includes projects with the goal to make data processing more efficient (e.g., via better query optimization and tuning or via novel approximate processing techniques). It also includes projects with the goal to make data access more user-friendly (e.g., by enabling voice-based data access or via natural language query interfaces). Our projects are often situated at the intersection between data processing and other areas such as machine learning or natural language processing. We are always looking for outstanding students who combine a strong formal background with excellent implementation skills. If interested, send a mail to Immanuel Trummer to inquire about openings.
See the Cornell Database Group Homepage for recent news and projects or visit us on Twitter.