We are seeking a candidate of international scientific reputation, who will promote the subject area of
mathematics and mathematical methods of data science in research and teaching.

The preferred research specialization shall be from the fields of discrete mathematics in a broad sense
including mathematical methods of data science, such as combinatorics with its stochastic and statistical
aspects, algorithmic number theory, applied algebra including geometrical and topological methods, or
the mathematical analysis of algorithms.

Montanuniversität Leoben is in the process of implementing a new architecture of the bachelor program
as of the winter semester 2022/23. The new professor is expected to contribute to that reform process
with a modern teaching concept. Undergraduate courses in mathematics and statistics including
mathematical methods of data science are to be held both in German and English. A particular focus is
on the first year of study which is common to all bachelor programs at the Montanuniversität. The
teaching duties also include the supervision of scientific projects.

The requirements for employment are a university degree and a doctorate in a relevant field as well as a
habilitation in the field of mathematics or an equivalent scientific qualification. Further prerequisites are a
very good command of the German and English language, pedagogical and didactical skills including
experience in the use of modern teaching methods and leadership qualities.

Experience in acquiring and conducting research projects on the national as well as international scale is
of high importance.

http://napps2.unileoben.ac.at/napps/public/mbl.nsf/13db8d6a0d8d1372c1256dac0053f561/f51f3848cc1df787c125879d0049c1e2/$FILE/MBL%20352122%20-%20Ausschreibung%20Professur%20Mathematics%20and%20Mathematical%20Methods%20of%20Data%20Science_EN.pdf