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Faculty of Business, Economics and Informatics

Professorship in Artificial Intelligence for Cyber-Physical Systems

Professorship in Artificial Intelligence for Cyber-Physical Systems 100 %

The Faculty of Business, Economics, and Informatics of the University of Zurich invites applications for a Professorship in Artificial Intelligence for Cyber-Physical Systems


The position can be filled at any level (Assistant with Tenure Track, Associate, or Full Professor), starting at the earliest in. Candidates applying for Assistant Professorship shall hold a Ph.D. degree in computer science, electrical engineering, mechanical engineering, or related areas with a specialization in machine learning, mobile robotics, or perception, and shall have an excellent record of academic achievements in the relevant fields. Candidates applying for Associate or Full Professorship shall have an excellent research record in machine learning, mobile robotics, or perception and strong teaching skills both at the undergraduate and graduate levels.

The successful candidate is expected to perform research in any (but not limited to) of the following areas:

  • Multi-modal, multi-task, embodied AI,
  • Learning from past experiences, auto reconfiguration, and adaptation,
  • Robust and intelligent perception,
  • Human imitation (e.g., learning prediction and action from large unlabeled videos of humans),
  • Robot learning.

The performance evaluation will be undertaken in line with DORA and the Open Science Policy of the University of Zurich.

Through its educational and research objectives, the University of Zurich attracts leading international researchers who are willing to contribute to its development and to strengthen its reputation as a future-oriented university with excellence in research, promotion of young researchers, and innovative research-based teaching. The University of Zurich is an equal-opportunity employer and in particular, strives to increase the percentage of women in leading positions. Therefore, qualified female researchers are encouraged to apply.

Please submit your application including a motivation letter, CV, publication list, research, and teaching statement as well as a diversity and inclusion statement, and a list of references here.

Documents should be addressed to Prof. Dr. Harald Gall, Dean of the Faculty of Business, Economics and Informatics, University of Zurich, Switzerland.

To apply for this job please visit www.glassdoor.com.

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