University Professorship

The Koblenz Campus of the University of Koblenz-Landau will become an independent
university on 01.01.2023. As the interdisciplinary university in northern Rhineland-Palatinate, it
will live the _knowledge - transformation - innovation_ paradigm in its profile areas “Education”,
“Computer Science”, “Culture and its Mediation” as well as “Material and Environment” and
launch cutting-edge initiatives for teacher training and the region. This is your chance to help
shape the future University of Koblenz right from the start

Waiting to be filled in the **Faculty 3: Mathematics/Natural Sciences** at the **Koblenz Campus**
is the appointment to a permanent

**university professorship (W3 per LBesG)**

with civil service status for **Data-Driven Scientific Computing (M/F/d)**

at the **Mathematical Institute** at the next possible date.

The Faculty 3: Mathematics/Natural Sciences works on its leading research theme "Material &
Environment" in the three main topics "Material Properties and Functional Surfaces", "Modeling,
Simulation and Optimization", and "Biodiversity and Ecosystems". By the thereby related
research activities the faculty provides the augmentation of scientific knowledge and solutions
for regionally, nationally and internationally relevant mathematical and scientific questions.

The Mathematical Institute offers bachelor and master programs (B.Sc./M.Sc.) with a focus on
mathematical modeling, simulation and optimization, but also participates in study programs
(B.Ed./M.Ed.) training teachers for primary, secondary and vocational schools. The main
research topics of the institute are applied mathematics with a main focus on modeling,
simulation and optimization as well as didactics of mathematics. Research is conducted in
cooperation with national and international partner institutions as well as with the local teacher
training colleges.

The professorship for data-driven scientific computing is expected to strengthen and
complement the simulation expertise of the Mathematical Institute in its key research topics in
modeling, simulation and optimization, and should be able to establish joint research activities
with the Faculty 4: Informatics.

**Key responsibilities**:
on data-driven scientific computing in research and teaching.

He/She should have an outstanding track record data-driven scientific computing.

Research is expected to focus on modern aspects in at least one of the fields continuous system
simulation, numerical data-based prediction, uncertainty quantification or machine learning. In
addition, contributions to current research topics are expected.** **Applicants should also be able
to relate their own research to the faculty's profile area "Anthropogenic Stressors in
Ecosystems" with its interdisciplinary topic "Water" or to the profile area "Health Data
Intelligence" of Faculty 4: Informatics.

In addition, active engagement in the acquisition of third-party funding will be expected.***

The position holder’s responsibilities will include actively recruiting and developing young
scientists.***

The teaching load is currently nine hours per week per semester.

programs and the discipline units of the teacher training degree programs.

Assisting with examinations in all degree programs of the Mathematical Institute is also
expected.

The willingness to cooperate across and within disciplines and in general is a prerequisite,
particularly in the context of the Center of Teacher Education.

It is also expected that the position holder will take on responsibilities in academic self
- government.

The position holder will be expected to play a significant role in shaping the Mathematical
Institute through her/his own ideas and emphases, and actively generate initiatives that
contribute to the development of the offered study programs.

**Recruitment requirements**:
The recruitment requirements of Section 49 of the Higher Education Act (HochSchG) of the
State of Rhineland-Palatinate apply. The statute requires a completed higher education, a
qualified doctorate in mathematics,** **pedagogical aptitude and additional scientific
achievements.

Experience in acquiring and managing externally funded projects is expected to be
documented with an overview of past third-party funding activities. A research concept must
also be presented.

Both good German and good English language skills are required, as courses are offered in
both languages.

Special didactic skills and teaching experience are required and must be demonstrated by
presenting a teaching concept.

The State of Rhineland-Palatinate and the University of Koblenz-Landau advocate a concept of
intensive student mentoring and therefore expect a high face-to-face presence at the
university.

by individuals from different backgrounds.

Women with equivalent aptitude, competence and professional performance are given
preferential consideration in hiring, to the extent that as longs as there is an under
gender equality