The Faculty of Science and Technology at Umeå University invites applications for a tenure track position as Assistant Professor in Machine Learning. The primary focus for this position is research on advanced machine learning techniques, with focus on computational and method-oriented research and/or theory development.

Core areas:
  • Data representation learning
  • Explainability and interpretability of AI/ML systems
  • Incremental learning and multi-task/transfer learning
  • Interaction between AI, machines, humans and society
  • Learning methods for estimating robustness, stability and reliability of AI/ML systems
  • Learning with non-convexity (e.g., GANs, sequential learning, reinforcement learning)
  • Statistical learning


  • Applicant must have been awarded a PhD, or equivalent academic competence.
  • Preference should be given to those who were awarded a PhD or attained equivalent research competence no more than five years prior to the expiry of the application period for the position as assistant professor.
  • A person who has been awarded a doctoral degree or has achieved equivalent expertise at an earlier date may, however, be considered in special circumstances.
  • A high level of proficiency in both spoken and written English is a requirement.


  • Apply online
—————–Quick Overview————-
Organization Umeå University
Country Sweden
Fellowship Level Faculty
Subject areas Engineering
Fellowship amount Varies
Eligibility Open to all nationalities
Deadline September 7, 2020

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