The Department of Computer Science at TU Dortmund University is offering the following position (starting at
the earliest possible date):
Professorship (W1) with W2 tenure track
Automated machine learning and optimization
The professorship is part of the Lamarr Institute for Machine Learning and Artificial Intelligence
Our profile
Comprising 17 departments in the natural and engineering sciences as well as the humanities and social
sciences, TU Dortmund University is a dynamic university with a strong profile in research, teaching, promotion
of young scientists and transfer.
The Department of Computer Science at TU Dortmund University is one of the largest in Germany and has
particular strengths in research. Among similar institutions, it is distinguished by a combination of
fundamental research on formal methods with the development of practical applications. Research focuses on
Algorithmics, Data Science, Cyber-Physical Systems and Software and Service Engineering. The Lamarr
Institute, as a leading international center for Machine Learning, focuses on the value-based research and
development of high-performance, trustworthy, and resource-efficient applications of Machine Learning and
Artificial Intelligence (AI). It establishes internationally competitive research that sustainably strengthens
Germany and Europe as leading locations for research, education, and technology transfer in AI. Along the
central research paradigm of „Triangular AI“ (AI3), Lamarr scientists are laying the foundations for the next
generation of Artificial Intelligence, which uses data, knowledge and context of intelligent systems on an equal
footing.
Profile of the professorship
You represent the area of automated machine learning (AutoML) and optimization in research and further
develop this with international visibility. The professorship is part of the Lamarr Institute and aligns in
research, teaching, and transfer with the five core and five interdisciplinary research areas of the Institute.
There, you will establish a new expert group on machine learning equipped with two scientific staff positions
for both scientific and application-oriented ML research at TU Dortmund University. In doing so, you participate
in a vivid research network and cooperations within and beyond the Lamarr Institute, TU Dortmund University,
and its AI ecosystem (https://ai.tu-dortmund.de/). You are committed to applying for third-party funding as
well as promoting early career researchers, and you participate appropriately in the teaching activities of the
department.
The appointment is initially for a period of three years as a temporary civil servant. In the course of the third
year, this status will be reviewed and may be extended for a further three years depending on performance. At
the end of this six-year assistant professorship at the latest, the tenure track will lead to continued
employment as a tenured W2 professor, provided that the necessary aptitude, competence and academic
performance have been demonstrated and that the legal requirements pertaining to Section 38 of the North
Rhine-Westphalia Higher Education Act (Gesetz über die Hochschulen des Landes Nordrhein-Westfalen, HG
NRW) are met. The teaching load of the assistant professorship is four hours per week in each of the first three
years. In the case of a positive review, it will increase to five hours per week in each of the last three years.
Your Qualifications
You will have obtained an excellent doctorate and already demonstrated initial experience in the dissemination
of your research in the field of the professorship through international publications in recognized peerreviewed
venues. Possible research fields may include but are not limited to automated selection of model
families, hyperparameter optimization, fine-tuning of models, evaluation of models, automated optimization of
neural network topologies, especially in deep learning, reinforcement learning, explainable AI and large
language models. The research focus can be both on mathematical modeling and the application of AutoML in
various domains. Experience in obtaining competitively awarded external funding /participation in research
projects is desirable. Additionally, you will have the potential for teaching excellence. Social and leadership
skills and the willingness to participate in academic self-administration will complete your profile. Moreover,
the recruitment requirements in Section 36 and 37 HG NRW apply.
Attractive environment
We offer an excellent academic
environment and attractive cooperation
opportunities with renowned
international, national, and regional
partners. The metropolitan Ruhr Area with
the University Alliance Ruhr (UA Ruhr)
guarantees short distances to a diversity
of partners from science and industry.
With our Dual Career Service, we support
your partner in finding professional
opportunities in the region, if desired. We
will be happy to provide information about
housing and living in Dortmund and help
you find childcare options. If you are
coming to us from abroad, our Welcome
Service will support you upon your arrival
in Germany.
Diversity welcome
A central goal of TU Dortmund University
is to promote diversity and equal
opportunities. We strive to significantly
increase the percentage of women in
research and teaching and therefore
welcome applications from female
academics. We give preference to severely
disabled applicants if their qualifications
meet the requirements. We support the
compatibility of family and career and
promote gender equality in academia and
research.
Your application
lf you are interested in the position,
please submit your application by
29.05.2024 via our application portal.
Details on the application process and
the preparation of application documents
can be found here:
berufung.tu-dortmund.de/en/application
Questions will be answered by the Dean
of the Department of Computer Science:
Professor Dr.-Ing. Gernot A. Fink
tel: +49 231/755-6151 or
dekan.cs@tu-dortmund.de
Further information about the
Lamarr-Institut and the Department of
Computer Science can be found
at
lamarr-institute.org and at
cs.tu-dortmund.de
Apply now >>