Both locations of our research center are each linked to their corresponding local universities: Leipzig University and the TUD Dresden University of Technology. This creates a close connection between our research activities and the education and teaching activities of the center. A multifaceted and high-quality teaching is a matter of great concern to us because it lays the foundation for future in-depth research and high-quality practice. Therefore, we try to offer our students a space for science and research at an early stage by offering, for example, internships or thesis supervision in addition to lectures and seminars. On the following sub-pages, you can learn more about our teaching activities.
Interested students can apply to write their final thesis at ScaDS.AI Dresden/Leipzig with our scientist’s supervision. Possible topics for final theses include:
An overview of current as well as already worked on topics can be found on our thesis subpage. We also welcome unsolicited applications for final theses regarding our research topics. If you are interested to write your final thesis at our center, please send an e-mail to study.scads.ai@tu-dresden.de.
You are an enrolled student who would like to start your career in the interesting field of Artificial Intelligence, Data Science, and Big Data? Join our team as a student assistant (SHK/WHK)!
At TU Dresden and Leipzig University, two master’s programs are offered in cooperation with ScaDS.AI Dresden/Leipzig:
Related to the master’s programs, ScaDS.AI Dresden/Leipzig has hosted two inter-university lecture series in the last years:
To support young scientists, ScaDS.AI Dresden/Leipzig has established a Graduate School in both Dresden and Leipzig. The main purpose of the Graduate School is to provide ScaDS.AI Dresden/Leipzig team members with a general framework for a well-structured PhD phase. This includes:
A part of the education program of ScaDS.AI Dresden/Leipzig are the international summer schools, which take place once a year. Those summer schools on current Big Data, Artificial Intelligence and Machine Learning topics bring together a broad and international audience as well as internationally renowned speakers.