Professorship in Mathematics and Mathematical Methods of Data Science

Montanuniversität Leoben | Leoben

Classification:

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.

Last updated: 3 December 2021

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