Junior Researcher Computational Analysis of Historical Images and Films (f/m/d) (30-40 h)

What you will be working on

  • You are part of an excellent doctoral training programme of TU Wien and FH St. Pölten with the highest standards
  • You conduct innovative applied and basic research on interactive analysis, exploration, and presentation of historical visual media collections
  • You design, implement, and evaluate methods in computer vision in interdisciplinary problem settings of film studies and art history
  • You develop methods for the automated analysis, retrieval, and classification of image and film collections
  • You write scientific publications, give presentations, and conduct scientific outreach activities
  • Further details on the research topics: visual-heritage.at/research-topics 

What we expect from you

  • University degree (Master level) in computer science (or comparable technical degree) or digital humanities
  • Expertise in visual computing with a particular focus on at least one of the following areas: computer vision, machine learning, visual analytics
  • Excellent programming skills, especially in computer vision/machine learning
  • Excellent command of English and willingness to learn/improve your German language skills (for non-natives)
  • Curiosity, independent working style, and interest in questions from cultural heritage and the digital humanities
  • Strong ambition for a PhD, writing papers, and scientific discourse

What we offer

  • Exciting and challenging interdisciplinary research on computer vision in cultural heritage
  • Work in an innovative, open-minded, and internationally oriented environment 
  • Flexible working hours and the possibility to work from home
  • A total gross monthly salary of at least EUR 3,286 (14x/year; basis: 40h/week; according to Austrian Science Fund)
  • Please indicate your preferred research topics in your application documents (first and second choice): www.visual-heritage.at/research-topics 

Please note that your application documents will be forwarded to our cooperation partner, the TU Wien, for the purpose of processing your application.