Professorship (W2) in Statistical & Machine Learning in Life Sciences + Research Group Lead

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 of LMU Munich and the Helmholtz Zentrum München – German Research Center for Environmental Health – invite applications for a

Professorship (W2) (5 years/tenure track)
of Statistical and Machine Learning in the Life Sciences,
combined with the lead of a research group
Computational Statistics & Dynamical Systems for Life Sciences
at Helmholtz Zentrum München

commencing as soon as possible.

The W2-professorship is based at the Department of Statistics within the Faculty of Mathematics, Informatics and Statistics and is linked with the leadership of a research group Computational Statistics & Dynamical Systems for Life Sciences at the Institute of Computational Biology (ICB) at Helmholtz Zentrum München (Helmholtz Munich).

The professorship’s responsibilities include teaching and research in the area of statistical methods and machine learning with applications in the life sciences. Close integration of research topics between Helmholtz Munich and the Department of Statistics at LMU Munich is expected. This includes, in particular, work in modeling biological time series, statistical inference of dynamic systems from biological datasets, and interpretability of these methods.

The professorship is also expected to enhance and expand the teaching program in statistics and data science in the life sciences at LMU Munich. Involvement in the Munich School for Data Science (MUDS) and the Munich Center for Machine Learning (MCML) is expected. Cooperation with the Department’s consulting centers (Statistical Consulting Laboratory, Machine Learning Consulting Unit) is also desired.

LMU Munich and Helmholtz Munich seek to appoint a highly qualified junior academic to this professorship and, therefore, especially encourage early-career scholars to apply. Prerequisites for this position are a university degree and a doctoral degree or a comparable specific qualification. With an excellent record in research and teaching to date, prospective candidates will have demonstrated the potential for an outstanding academic career.

The future holder of this position will be appointed to LMU Munich as a university professor (pay grade W2) under the terms of a private-law contract and will be granted leave of absence in order to be employed by Helmholtz Munich as the head of the research group Computational Statistics & Dynamical Systems for Life Sciences at the ICB.

The initial appointment will be for five years. After a minimum of three years, it can be converted into a permanent position pending a positive evaluation of the candidate’s performance in research and teaching as well as his or her personal aptitude and if all legal conditions are met.

For more information regarding the scientific focus of the position, please contact Prof. Dr. Göran Kauermann, Ludwig Maximilian University of Munich ([email protected] ), or Prof. Dr. Dr. Fabian Theis, Helmholtz Zentrum München ([email protected] ).

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

LMU Munich and Helmholtz Munich are equal opportunity employers. They continue to be very successful in increasing the number of female faculty members and strongly encourage applications from female candidates. LMU Munich and Helmholtz Munich intend to enhance the diversity of their 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 as well as a list of publications only in electronic form as a single pdf-file, not larger than 10MB to the Dean of the Faculty of Mathematics, Informatics and Statistics, Ludwig-Maximilians-Universität München, using the following link https://www.efv.verwaltung.uni-muenchen.de/md3 no later than 7st October 2026, and also sent in electronic form only to the Scientific Managing Director of Helmholtz Zentrum München, Prof. Dr. Dr. h.c. mult. Martin Hrabě de Angelis, Helmholtz Zentrum München, P.O. Box 11029, 85758 Neuherberg ([email protected] ).

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