2 Wiss. Mitarbeiter:innen - Dresden, Deutschland - Technische Universität Dresden

Technische Universität Dresden

Geprüftes Unternehmen

Dresden, Deutschland

vor 1 Woche

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,
the
Chair of Information Theory and Machine Learning, the
6G-life Research-Hub "Digital

Transformation and Sovereignty of Future Communication Networks" offers two positions as

Research Associate (M/F/x)***starting
as soon as possible. The positions are limited until August 14, 2025. The period of
employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz

WissZeitVG). The positions offer the chance to obtain further academic qualification.

Tasks:
The research activities are in the area of wireless communications for future communication
systems of the 6th generation (6G) with a particular focus on information and communication theory,
machine learning for communications, and security and privacy of information systems. Possible

topics are:
- information theoretic analysis of communication beyond the Shannon approach (Post-Shannon

communication or semantic communication),
- novel security concepts such as physical layer security,
- novel communication and security approaches based on machine learning.

All tasks are carried out in cooperation with partners from industry and science. 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 degree in the field of electrical engineering, commu
- nications 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 machine learning and 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.

documents by
July 14, 2023 (stamped arrival date of the university
central mail service applies), preferably via the TU Dresden SecureMail

und 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,
- **.