SCHAUFLER KOLLEG@TU DRESDEN
The Schaufler Kolleg@TU Dresden provides a unique forum at TU Dresden for interdisciplinary graduate education in the humanities and social sciences on the societal dimension of science and technology. The PhD students are actively involved in shaping the thematic focus of the Lab and play a pivotal role in communicating its topics to the University and the wider society.
SCHAUFLER KOLLEG@TU DRESDEN
Apart from financial coverage for their doctoral project, the Schaufler Kolleg@TU Dresden offers talented young scholars from the humanities and social sciences close exchange with both fellow Kolleg students and artists working on related topics, access to a variety of event formats as well as to the established scientific landscape at TUD and to other partners in the network of DRESDEN-concept e.V., such as art and cultural institutions and other research facilities in the State Capital of Dresden.
In the Schaufler Kolleg@TU Dresden, the doctoral candidates work on their dissertation projects, which are in line with the main research topic of the respective phase. The fellows are actively involved in shaping the thematic focus of the Lab and play a pivotal role in communicating its topics to the University and to society.
All of the PhD candidates receive support for their doctoral thesis by two supervisors on equal terms from two different disciplines. The participants are offered differentiated continuing education. It comprises a general qualification programme that supports the early career researchers in successfully mastering their doctoral phase and preparing specifically for the next steps in their career. In addition, a special continuing education programme linked to the main research topic provides in-depth specialist knowledge from the STEM subjects.
In the first project phase, researchers of the Cluster of Excellence Center for Tactile Internet (CeTI), and the Scads.AI - Center for Scalable Data Analytics and Artificial Intelligence offered a structured course on the fundamentals of AI Computer Science and technical applications. Moreover, in the framework of internships, doctoral students had the opportunity to participate in the development of AI solutions and their application in engineering, and to develop and implement projects together.