Junior Research Group Leaders (m/f/x)

at  LeibnizInstitut fr Polymerforschung Dresden e V

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most
dynamic research institutions in Germany. It embodies a university culture that is characterized by
cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity
is an essential feature and a quality criterion of an excellent university. At TUD ScaDS.AI (Center for
Scalable Data Analytics and Artificial Intelligence) is part of the newly established CIDS (Center for
Interdisciplinary Digital Sciences). It is one of the permanently established national centers for artificial
intelligence, financed by the federal government and the Free State of Saxony and located at TUD und
the University of Leipzig. For TUD diversity is an essential feature and a quality criterion of an excellent
university. Accordingly, we welcome all applicants who would like to commit themselves, their
achievements and productivity to the success of the whole institution. At the TUD part of the center,
we will establish up to two new
Junior Research Group Leaders (m/f/x)
(subject to personal qualification employees are remunerated salary group up to E 15 TV-L)
working on AI methods. Applications are invited for a junior research group that shall start in 2024
with a duration of 12 to 36 months. The period of employment is governed by the Fixed Term Research
Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). An extension after a positive evaluation
for up to 36 months is possible. A junior research group consists of a junior research group leader
and research assistants. Depending on the duration of the group and the quality of the research
proposal, up to two additional positions for research assistants will be funded by ScaDS.AI. Research
assistants (PhD or postdoc level) are paid at the TV-L level 13.
In the medium term, ScaDS.AI Dresden will bring together more than 200 staff members at TUD
closely collaborating with other departments advancing research in the field of digitization. Its
members are active in various research areas working on the fundamentals and applications of data
science and artificial intelligence. In addition, service-oriented solutions are developed and there is
close cooperation with a large number of partner organizations from science and industry. The center
offers an excellent working environment with access to state-of-the-art technologies and an
outstanding high-performance computing infrastructure. To promote research excellence in the field
of AI and data science, ScaDS.AI supports early career research group leaders in this field that
complement and extend our current research areas.

experience and teaching experience

• CVs of research assistants (if applicable)
• 2 to 3 letters of reference

The junior research group leader (principal investigator) is responsible for the establishment and

management of the junior research group with the following tasks:

• Methodological basic research which strengthens and complements the research focus of

ScaDS.AI in the field of artificial intelligence (e.g. in machine learning, computer vision, language

models, robotics and explainability).

• Independent and internationally visible research on Data Science and AI methods with

publication of research results at TOP conferences and in journals of the AI and Data Science

communities, respectively

• Scientific support for the development of international excellence
• Exchange of competencies and research results with national AI centers and interdisciplinary

cooperation with non-university research partners.
Requirements: university degree and an additional PhD degree. Outstanding post-doctoral
researchers with a proven research track record in data science and AI including current junior
professors or group leaders. ScaDS.AI Dresden/Leipzig is characterized by the interdisciplinary
collaboration of international scientists. We therefore particularly invite applicants with an
international background to apply and become a part of our team.
TUD strives to employ more women in academia and research. We therefore expressly encourage
women to apply. The University is a certified family-friendly university and offers a Dual Career
Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be
equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
IX (SGB IX) will receive priority for employment.

Your application should contain:

• Cover Letter
• Scientific proposal of about 5 pages for the time period planned at ScaDS.AI
• Detailed CV, including list of publications, work in progress, research service, mentoring

experience and teaching experience

• CVs of research assistants (if applicable)
• 2 to 3 letters of reference.

ScaDS.AI implements a selection committee that consists of a number of PIs from the two locations
of ScaDS.AI (Dresden/Leipzig). This involves the research area leads and additionally one PI from each
research area. Additionally, an equal opportunities officer will be part of the committee. Based on the
application suitable applicants will then be invited for an interview.
Please submit your detailed application with the documents, indicating the reference code “JRG
ScaDS.AI”, by May 31, 2024 (stamped arrival date of the university central mail service or the time
stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal
https://securemail.tu-dresden.de by sending it as a single pdf file to zih@tu-dresden.de or to: TU
Dresden, ZIH, Prof. Dr. Wolfgang E. Nagel, Helmholtzstraße 10, 01069 Dresden, Germany. Please
submit copies only, as your application will not be returned to you. Expenses incurred in attending
interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed,
as well as further information about data protection is available to you on the website: https://tu-
dresden.de/karriere/datenschutzhinweis.