Jetzt bewerben: Professur (W3) für Digitale Bahnsysteme bei Technische Universität Dresden – Dein Traumjob wartet

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 "Friedrich List" Faculty of Transport and Traffic Sciences, the Institute of Railway Systems
and Public Transport invites applications for the

Chair (W3) of Digital Railway Systems

to be filled at the earliest possible date.

Deutsche Bahn AG will endow the chair for the first ten years. After the end of the funding period, the
endowed chair will be continued as a chair (W3) at TUD. The chair’s research focuses on command
control and signaling in the railway sector and related areas of digitalization. The aim is to advance
the development of methods for the analysis and targeted design of safe technical systems, taking
into account human and organizational factors, with a focus on the areas of safety and risk
assessments, end-to-end digital data management, technology and accident analyses as well as
approval and approval procedures in railway systems. Innovative methods from operations research,
formal methods, artificial intelligence, modeling or simulation shall be used.

You (m/f/x) will represent the scientific field of command control and signaling in railway systems in
teaching and research, including the further development of the chair’s safety technology laboratory
(SIL). You will have teaching obligations in the bachelor, master, and diploma degree programs at the
“Friedrich List” Faculty of Transport and Traffic Sciences and contribute to teaching export to other
faculties at TUD. We expect your participation in academic self-administration and your willingness to
teach in English and German. One of your main tasks will be the successful acquisition of third-party
funding from federal (DFG, BMBF et al.) or EU sources, as well as from industry partners. Therefore,
experience in externally funded research is required. Your willingness to cooperate with other chairs
of the “Friedrich List” Faculty of Transport and Traffic Sciences, other structural units at TUD, other
institutions within the DRESDEN-concept alliance and external stakeholders is essential.

We seek a dynamic and dedicated personality with an excellent national and international academic
track record in the field of command control and signaling in railway systems. We invite applications
with proven expertise in at least three of the following areas:

• Safety and risk analyses of technologies, processes and applications of control-command

• Specification, project planning (engineering and data preparation) and implementation of

• System design, integrated/continuous modeling, operational analysis and optimization of

• System integration and automated testing of digital control-command and signaling

• Digitalization and automation in planning or operation of command control and signaling,
• Statistical methods and simulation, artificial intelligence methods, cryptography or

cybersecurity for railway applications.

We are looking forward to your application if you hold a university degree in transportation science
or related relevant fields and have pedagogical aptitude and excellent capability for scientific work,
which you can prove by a doc