Junior Researcher Visual Analytics
vor 9 Stunden
**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 visual analytics and/or computer vision in interdisciplinary problem settings of film studies and art history.
- You develop methods for the automatic analysis, retrieval, and classification of images and videos, as well as interactive visual interfaces for the analysis, exploration, and (situated) presentation of large visual media databases.
- 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, information visualization, immersive analytics (augmented reality / AR).
- Excellent programming skills, especially in visualization/user interfaces and/or 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 visual analytics & 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).
The variety and diversity of its staff members is the key to innovation, success, and further development.
Applications by qualified women are particularly welcome. In the case of equal suitability, we give precedence to
applicants with special needs. We explicitly invite persons with a migration background to apply.
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