Are you interested in creating intelligent systems that provide people with timely, relevant and reliable information? Systems that collaborate with users to better understand their needs, systems that analyze, represent and understand data in all formats and modalities, and learn how to best retrieve, summarize and communicate information to users? Are you passionate about research and education?

The IRLab is seeking a tenure track assistant professor interested in the development of intelligent information retrieval and recommender systems. Relevant experience includes, but is not limited to, search and ranking, content recommendation and analysis, machine learning for IR, semantics, dialogues, human factors, and evaluation.

Please check out the official ad at the university’s vacancy site for details about the application procedure. The deadline is September 30, 2021.