Research Associate 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 Deutsche Telekom Chair of Communication Networks offers a project position under the
BMWK project DymoBat as

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

starting January 1, 2024. The position is limited until September 30, 2026. The period of employment
is governed by § 2 (2) Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz –
WissZeitVG).

The purpose of this project is to increase the use of renewable energies to reduce CO2 emissions. This
goal faces multiple challenges, both on the user and utility side (e.g., demand-supply balancing, use
of energy storage, etc.). By extending 5G-based ultra-reliable and low-latency communications, with
new technologies such as IoT remote monitoring infrastructures, wireless mesh networking and AI
models, and bidirectional EV charging (V2G), the energy system as a whole can be optimized. This will
enable a significant increase in the share of renewable energy in future energy systems. In this
context, ComNets leads the efforts in network-level optimization. The project will be carried out in
cooperation with industrial partners and the City of Dresden. TUD is project leader.

Tasks: The successful candidate will join a team working on developing and implementing a combined
network communication and load management solution for V2x applications. The goal is to use the
storage capacity of BEVs to stabilize the power network and optimize internal power consumption
after the meter for large industry plants to small households (V2H). Machine learning approaches will
be used in the project DymoBat, funded by the German Federal Ministry of Economic Affairs and
Climate Action.

Under the assumption of two-way charging operations between electric cars and the power grid, a
decentralized combined approach for communication network cells and electric micro/small cells, will
enable mobility of the future, including mobility of people, energy and communication. The envisioned
dynamic control of the two-way charging networks and the communication networks can, for
example, be tackled using multi-agent reinforcement learning. To ensure seamless compliance with
the requested quality of service of all users, a predictive engine may also be part of the overall system.
All parts of the charging and communication networks will be covered, especially the communication
interfaces between electric cars, charging points and the decentralized charging point and
communication management instances. The project leaves much space for creativity and the
implementation of the candidates’ interests.

A successful candidate will be required to perform the following tasks:

• design, build up, attach and optimization a testbed at TU Dresden for proof-of-concept studies

for intelligent load management using current and future real-time communication
technologies

• carry out research in combining and converging energy and communication networks,

including 5G campus networks, mesh networks, artificial intelligence for charge point and
communication network optimization

• design of a combined power and communication network simulator, that will be integrated

into real systems a