wiss. Mitarbeiter:in bei Technische Universität Dresden

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most
dynamic research institutions in the country. Founded in 1828, today it is a globally oriented,
regionally anchored top university as it focuses on the grand challenges of the 21st century. lt
develops innovative solutions for the world's most pressing issues. In research and academic
programs, the university unites the natural and engineering sciences with the humanities, social
sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
and transfer of science to society. As a modern employer, it offers attractive working conditions to all
employees in teaching, research, technology and administration. The goal is to promote and develop
their individual abilities while empowering everyone to reach their full potential. TUD 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. Accordingly, we welcome all applicants who would like to commit themselves, their
achievements and productivity to the success of the whole institution.

At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology,
the Chair of Information Theory and Machine Learning invites applications for a position as

Research Associate (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

starting as soon as possible. The position is limited until September 30, 2026 with the option of
extension. The period of employment is governed by the Fixed Term Research Contracts Act
(Wissenschaftszeitvertragsgesetz – WissZeitVG). The position offers the chance to obtain further
academic qualification (e. g. PhD / habilitation thesis).

Tasks: As part of the DFG Priority Program “Resilient Worlds”, the research activities are in the area of
resilience and trustworthiness of future communication systems with a particular focus on
information and communication theory, automated verification of resilience and trustworthiness,
resilience-by-design, and security and privacy of information systems. Your tasks include:

• development of information and coding theory for wireless communication systems under

• analysis of automated verification of resilience and trustworthiness based on Turing machines

• development of novel concepts that realize resilience and trustworthiness in future

All tasks are carried out in cooperation with partners from the DFG Priority Program “Resilient Worlds”,
in particular with the Chair of Theoretical Information Technology, Technische Universität München.
The field of activity also includes the supervision of student work related to the research topics. The
results of the work are to be published at international conferences and in recognized journals.

Requirements: above-average university and, if applicable, PhD degree in the field of electrical
engineering, communications engineering or information systems engineering, computer science,
mathematics, physics or similar; profound knowledge of wireless communications, communications
engineering, information theory; independent, goal- and solution-oriented approach; confident
command of written and spoken English. Knowledge of programming languages such as Matlab,
Python, C++, or TensorFlow is a plus.

More details about the DFG Priority Program “Resilient Worlds” are given under https://www.resilient-
worlds.org/.

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.

Please submit your comprehensive application including the usual documents by February 15, 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 rafael.schaefer@tu-dresden.de or to: TU D