Open Faculty Position in Computer Science Machine Learning

  • Professional
  • Boulder, CO
  • Posted 3 weeks ago
  • Expires on: November 26, 2019

University of Colorado Boulder
Department of Computer Science

The Department of Computer Science at the University of Colorado Boulder is currently seeking applications for a faculty position in the area of Machine Learning. The position is open rank: Assistant, Associate, or Full Professor. This position is part of the long-term growth plans for the College of Engineering and Applied Science (CEAS), and we are especially interested in qualified candidates who can contribute, through their research, teaching, and service, to the diversity and excellence of our academic community. Within Machine Learning, we are particularly interested in candidates who develop novel algorithms and architectures, with potential application areas including, but not limited to, Computer Vision, Robotics, Data Science, and Natural Language Processing. Our primary consideration is the originality, intellectual diversity, and promise of the candidate’s work.

Candidates will be expected to engage in undergraduate and graduate teaching, contribute professional service, and develop vigorous, externally funded research programs in their technical areas. Candidates whose expertise cuts across engineering and related disciplines are especially encouraged to apply. Potential faculty members applying to the Department of Computer Science at the University of Colorado Boulder should describe their plans to develop a recognized research program based on scholarly work in their particular field, their ideas for interdisciplinary collaboration, their experience and interests in teaching undergraduates and graduates, and their future plans for inspiring diverse students to conduct research.

The position will remain open until filled, though for full consideration applications should be received by December 1, 2019. Note: Application materials will not be accepted via email. For consideration, applications must be submitted through