Full Professorship (W3) of Statistical Learning and Data Science

Munich (Landkreis), Bayern (DE)
08 Aug 2019
End of advertisement period
29 Aug 2019
Contract Type
Full Time

As one of Europe’s leading research universities, Ludwig-Maximilians-Universität (LMU) in Munich is committed to the highest international standards of excellence in research and teaching. Building on its more than 500-year-long tradition, it offers a broad spectrum that covers all areas of knowledge within its 18 Faculties, ranging from the humanities, law, economics and social sciences, to medicine and the natural sciences. 

The Faculty of Mathematics, Informatics, and Statistics invites applications for a

Full Professorship (W3) of Statistical Learning and Data Science

commencing as soon as possible. 

As digitisation progresses, the need to use, analyse and extract information from newly available data is becoming more and more apparent. This is the core task of statistics, which is also referred to today as data science in the combination of statistics and computer science.  Statistical modelling and statistical learning is an important tool in this context. The professorship will represent this focus in teaching and research. 

We are looking for a personality who researches and teaches in the field of statistics, statistical learning and data science. The research focus should be on predictive modelling. This includes computer-driven methods such as decision and regression trees, random forests, gradient boosting, but also approaches on the meta level, especially model selection, pipeline configuration, Bayesian optimization and interpretable machine learning. The professorship is supposed to cover the whole area. The holder of the position should be broadly methodically founded in the mentioned areas and be able to represent the practical implementation of the mentioned approaches also in software. The professorship should function as a Ñmethodical bridgeheadì into computer science.

It is expected that there will be a proven and extensive acquisition of third-party funds. It should also be shown that research results can be transferred to other scientific areas in an interdisciplinary manner. Active participation in the elite Data Science course is expected, as is experience with modern teaching concepts such as inverted classrooms and e-learning.

Prerequisites for this position are a university degree, a doctoral degree or a comparable specific qualification, teaching skills at university level, excellent academic achievements and a productive and promising research program. 

LMU Munich makes a point of providing newly appointed professors with various types of support, such as welcoming services and assistance for dual career couples. 

LMU Munich is an equal opportunity employer. The University continues to be very successful in increasing the number of female faculty members and strongly encourages applications from female candidates. LMU Munich intends to enhance the diversity of its faculty members. Furthermore, disabled candidates with essentially equal qualifications will be given preference.

Please submit your application comprising a curriculum vitae, documentation of academic degrees and certificates, summary of teaching activities as well as a list of publications and invited lectures, a research summary and three to five relevant publications, only in electronic form as a single pdf-file that does not exceed 10 MB, to the Dean of the Faculty of Mathematics, Informatics and Statistics,, no later than 29 August 2019.