W3 Professorship in Data Driven Simulation and Analysis in Material Science Reference no.: W2379 in Saarbrücken bei Universität des Saarlandes

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Saarland University is a campus university with an international focus and a strong research profile characterized
by the three main research areas ‘Computer Science’, ‘NanoBioMed’ and ‘Europe’. With numerous internationally
respected research institutes situated in the vicinity of the university and dedicated support for start-up companies,
Saarland University is an ideal environment for research, teaching and innovation. The proportion of international
students studying at Saarland University is well above the national average and is testimony to the university’s
strong international focus. Saarland University has been an officially certified family-friendly university since 2004.
The subject area 'Materials Science and Engineering' ranges from basic research in the fields of materials and
materials engineering to application-driven collaborative research with regional, national and international industrial
partners. Core research areas include sustainable materials that are designed for use in the circular economy,
materials for the emerging hydrogen economy and the digitalization of materials and processes (creation of digital
twins for use in material design, material processing and process control. The German Research Center for Artificial
Intelligence (DFKI) is Germany's leading business-oriented research institute that is developing innovative AI-based
software technologies. DFKI is a highly respected centre of excellence within the international scientific community
and, in terms of staff numbers and external funding, is currently the world's largest research centre for artificial
intelligence and its applications. DFKI maintains close collaborative ties with national and international companies.

In cooperation with the German Research Center for Artificial Intelligence (DFKI), the Department of Materials
Science and Engineering in the Faculty of Natural Sciences and Technology at Saarland University in Saarbrücken
is inviting applications for the following position to commence at the earliest opportunity:

W3 Professorship
in Data Driven Simulation and Analysis
in Material Science
(m/f/x; Reference no.: W2379

This position is a permanent public sector appointment ('full tenure professorship') in combination with the role
of departmental head at DFKI.

The successful candidate will be expected to have excellent scientific credentials and the ability to drive interdisciplinary
research at the interface of material science, materials engineering and Artificial Intelligence. In addition to your
duties as a university professor, you will also be expected to work closely with the DFKI to establish a new research
area and to acquire significant external funding in this field. The main focus of your research will be on new
approaches to the data-driven characterization of materials and simulation-based material development. Other
avenues of research will explore how methods of artificial intelligence and machine learning can be used to analyse
experimental data (e.g. analytical image data) and will examine the cross-scale and correlative linking of such
methods. You will also contribute to research data management within the department as well as to Germany's
national research data infrastructure NFDI-MatWerk. Another key aspect of the role will involve close collaborative
interaction within the Department of Materials Science and Engineering and neighbouring departments in the
Faculty of Natural Sciences and Technology as well as with non-university research institutions on campus. It is
intended that the appointee will be co-opted to the Faculty of Mathematics and Computer Science.

The appointment will be made in accordance with the general provisions of German public sector employment
law. Candidates must have experience in and an aptitude for academic teaching. They will have a PhD or doctorate
in an appropriate subject and will have demonstrated a particular capacity for independent academic research,
typically by having obtained an advanced, post-doctoral research degree (Habilitation) or by having published an
equivalent volume of peer- reviewed research or by having been appointed to a junior professorship or a similar
position. The successful applicant will have a strong track record of sustained high-quality research in the area
of appointment and will have high international visibility in their field. You will have gained relevant experience
with externally funded national and international research projects and will be willing and able to engage in
interdisciplinary