Full Professor (W3) of “Machine Learning in Science”

Full Professor (W3) of “Machine Learning in Science”

University of Tübingen

Tübingen, Germany

The Computer Science Department of the University of Tübingen, Germany
invites applications for two positions:

Full Professor (W3) of “Machine Learning in Science”

The professorships are part of the new Cluster of Excellence “Machine Learning: New Perspectives for Science“. A successful candidate is expected to carry out internationally competitive research in the field of machine learning in science. The research focus can be in the area of machine learning itself or in its applications to a particular scientific application discipline. Possible research directions could be but are not limited to the following ones:

  • Probabilistic modeling, for example uncertainty quantification in
    scientific models, Bayesian active learning for experimental design, or
    Bayesian deep learning
  • Interactive and interpretable machine learning for science
  • Automated learning of scientific models, incorporating prior domain
    knowledge, discovery of
    latent variables, automatic model criticism, adversarial learning
  • Applications of machine learning methods to a specific scientific
    application domain such as physics, geoscience or social science.

The closing date for applications is January 10, 2019. For more
information, please visit http://www.ml-in-science.uni-tuebingen.de/

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Position

Full Professor (W3) of “Machine Learning in Science”