Research Associate (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 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. It
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 Vodafone Chair of Mobile Communications Systems offers a position as
Research Associate (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E13 TV-L)
starting at the earliest possible date. The position is limited to 18 months 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.
The Vodafone Chair for Mobile Communications Systems offers the opportunity to help shape the
development of future mobile communication systems in a prosperous and dynamic environment, to
gain valuable project experience and to establish and deepen contacts with innovative companies.
Further information on the Vodafone Chair can be found at https://mns.ifn.et.tu-dresden.de/. The
research at the Vodafone Chair runs within the scope of DFG, EU and BMBF projects as well as within
the framework of an ERC Synergy Grant.
Tasks: You will conduct research in the field of wireless communications technology on one of the

following topics:

• development and evaluation of resilient wireless systems for

o spectrum sensing, channel modeling, radio resource management, anti-jamming
o machine learning and digital twinning

o applications in industry and medicine

• Transmission and signal processing techniques for joint communication and sensing,

including waveform and frame design, parameter estimation algorithms, and applications of

sensing such as localization.

• beamforming architectures and techniques for massive ultrawideband MIMO
• Gearbox PHY concept: design of multi-gear radio interface, and optimization of the operation

using AI/ML techniques for gear switching and dynamic reconfiguration

• Physical layer design for ultra-energy-efficient wireless spike-based sensor node

communication, including optimized spike modulation, stochastic modeling of a spike-based

signal processing chain, and task-based communication.

• Algorithm design for innovative quasi-optical terabit/sec wireless communications systems

with energy-efficient oversampled 1-bit quantization: digital baseband design including the

study of optimal modulation, channel estimation, and receiver synchronization algorithms

• Field testing with our own 5G SA Campus Networks including ORAN
• Mobile network measurements with best-in-class equipment and process automation
• Airborne RF measurements using 5G connected drones
• Communications and control co-design for wireless-networked control systems
• Reduction of latency requirements for cyber-physical systems using model-based prediction

and estimation

• Learning for dynamical systems and control using data-driven/ML techniques.

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 distinguished journals.
Requirements: an above-average university degree in the field of computer science, electrical
engineering, communications engineering or information systems engineering; profound knowledge
of wireless communications, communications engineering and digital signal processing; independent,
goal- and solution-oriented approach; integrative and cooperative behavior with very good
communication and social skills; confident command of written and spoken English.
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 detailed application with the usual documents by June 10, 2024 (stamped arrival
date of the university central mail service of TUD applies) stating the Job-ID: w24-172 to:
jobs@ifn.et.tu-dresden.de (Please note: We are currently not able to receive electronically signed
and encrypted data.) or to: TU Dresden, Fakultät Elektrotechnik und Informationstechnik,

Please refer the Job description for details