Wiss. Mitarbeiter:in - Dresden, Deutschland - Technische Universität Dresden

Technische Universität Dresden

Geprüftes Unternehmen

Dresden, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Technische Universität Dresden (TUD), 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,

Research Associate (M/F/x)***starting
as soon as possible. The position is limited to three years 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

jamming and adversarial attacks
- analysis of automated verification of resilience and trustworthiness based on Turing machines

as well as neuromorphic or analog hardware concepts
- development of novel concepts that realize resilience and trustworthiness in future

communication systems directly at the physical layer; so-called resilience-by-design.
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.

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

equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
IX (SGB IX) will receive priority for employment.

(stamped arrival date of the university central mail service applies), preferably via the TU Dresden

Informationstechnik, Institut für Nachrichtentechnik, Professur für Informationstheorie und

maschinelles Lernen, Herrn Prof. Dr. Rafael Schaefer, Helmholtzstr. 10, 01069 Dresden,
incurred in attending interviews cannot be reimbursed.

Reference to data protection:
Your data protection rights, the purpose for which your data will be processed,