TU Wien Informatics

20 Years

Official Opening of the Cooperative Doctoral Program

  • 2024-02-01
  • Doctoral

Join the ceremonial opening of the cooperative doctoral program “Visual Heritage: Visual Analytics and Computer Vision Meet Cultural Heritage”

Official Opening of the Cooperative Doctoral Program
Picture: VectorLM / stock.adobe.com

  • TU Wien, Campus Getreidemarkt
    Konferenzsaal TUtheSky
  • 1060 Vienna, Getreidemarkt 9
    Bauteil BA (Hoftrakt), 11. Stock, Raum BA11B07


We kindly request a registration for the event (until Jan 24) at this link.

We are delighted to invite you to the ceremonial opening of our innovative doctoral program “Visual Heritage”, a unique collaboration between the St. Pölten University of Applied Sciences and TU Wien.

This program, supported within the framework of the FWF’s doc.funds.connect program and in cooperation with the CDG, will explore the interfaces between visual analytics, computer vision, and cultural heritage over a period of four years.


10:00 Welcome

10:05 Greetings and Statements

10:20 Presentation of the Doctoral Program and PhD Students

  • Wolfgang Aigner (Coordinator of the Doctoral Program)
  • PhD Students: Tingyu Lin, Nidham Tekaya, Michaela Tuscher, Markus Passecker

10:45 Keynote Lecture: The power of big data of the past – Let’s build a Time Machine!

  • Thomas Aigner (Vice-President of the Time Machine Organisation)

11:15 Get Together with Fingerfood and Drinks


We kindly request a binding registration for the event (until no later than January 24, 2024) at the following link.


The possibilities for preserving our cultural heritage have made enormous progress through digital technologies. Visual media such as historical photographs and amateur films are important components of the media collections created by digitization. To capture the contents of these collections and gain new insights, it takes methods that combine efficient automated data analysis with the expertise of specialists. Our joint doctoral program explores approaches to automatic image analysis and visualization to access historical media collections and make them accessible to a wide range of users. The central aspect here is the interdisciplinary approach between computer science and the humanities.

The program offers a unique opportunity for doctoral students to perform problem-driven research. The topics complement each other in terms of visual and computational methods, focused on content creation, exploration, and experience. They aim to facilitate the preservation of cultural heritage by making data more accessible through metadata, enabling rich analysis for historians, and creating engaging ways to make the knowledge gained accessible to expert and lay users. Each topic is supervised by a team of researchers, including both applying institutions as well as an associate faculty member. A comprehensive education and training program spanning both institutions is provided. The core faculty, the associate faculty, and the scientific advisory board contribute domain expertise in visual computing as well as cultural heritage. Each student will spend at least six months at the other institution to immerse themselves in different research organizations on a daily basis.

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