Mathematikon Entrance

Our Faculty is the academic home of researchers, teachers, and students of Mathematics and Computer Science. Its institutes and facilities are housed in the Mathematikon, pleasantly located on the Campus Neuenheimer Feld of Heidelberg University. Welcome!

Mathematikon Staircase

The Doctorate signifies a proven ability to conduct independent scientific research. Under the auspices of the Combined Faculty of Mathematics, Engineering and Natural Sciences, we confer the academic degree Dr. rer. nat. in the subjects of mathematics and computer science.

Mathematikon Library

Students interested in Mathematics, Computer Science, or an interdisciplinary field, pursuing a B.Sc., M.Sc., or M.Ed., and aiming for a career in research, teaching, or the private sector, will find here in Heidelberg a full range of first-class courses for a challenging and enriching educational experience in an intellectually stimulating environment with historical cachet.

Mathematikon Lobby

We seek to promote the interest in mathematics and computer science by organizing events for schools and for the broader public. Alumns and newcomers join in and contribute to shared knowledge and contacts.

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Mathematics and Computer Science — Open Position

Full Professorship (W3) for "Mathematical Foundations of Machine Learning" (f/m/d)


The Institute for Applied Mathematics in the Faculty of Mathematics and Computer Science at Heidelberg University invites applications for a

Full Professorship (W3) for

"Mathematical Foundations of Machine Learning" (f/m/d)

to be filled from the winter semester 2023/2024 or later.

Candidates are expected to actively research theoretical problems of machine learning and to have achieved internationally recognised contributions to establishing corresponding mathematical foundations.

The well-endowed professorship will strengthen the research initiative “complex systems and data analysis” at the novel Mathematical Institute, to be established in spring 2023. It is expected to shape fundamental research of machine learning in the cluster of excellence STRUCTURES and to support the development of innovative methods of machine learning at the Interdisciplinary Center for Scientific Computing (IWR). The position is part of the strategy of the Heidelberg University to form a center for machine learning. We expect an active participation in these initiatives as well as in forthcoming research projects of the faculty.

Participation in academic self-governance and teaching, including basic mathematics courses and the projected master’s course “Mathematics of Machine Learning and Data Science”, is required.

Our comprehensive university offers a vibrant scientific environment, with outstanding students and continuous stimulation of basic problems of machine learning through excellent research in the natural and life sciences.

Evidence of methodological expertise includes a strong record of publications and publication venues.

Prerequisites for an application are a university degree, a qualified Doctorate, successful teaching experience and (in accordance with Article 47, Paragraph 2 of the Higher Education Law of the Federal State of Baden-Württemberg) a habilitation, a successfully evaluated junior professorship, or equivalent qualifications.

Applications including the CV, the list of publications, a research plan, documentation on teaching and an annotated list of up to five publications considered as most important, are solicited by March 31, 2023, as single PDF file and quoting the keyword MGML, to the Dean of the Faculty of Mathematics and Computer Science at Heidelberg University, Prof. Christoph Schnörr, Inquiries about orientation and institutional strategy can be addressed to

Heidelberg University stands for equal opportunities and diversity. Qualified female candidates are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection of personal data are available at

Dated: 2023-03-31, sig.: Dekan
Last updated on Feb 22, 2023 at 1:10 PM