Young scientists

Open Positions


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, application@mathinf.uni-heidelberg.de. Inquiries about orientation and institutional strategy can be addressed to schnoerr@math.uni-heidelberg.de.

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 www.uni-heidelberg.de/en/job-market.

Dated: 2023-03-31, sig.: Dekan

Job market

PhD and Postdoctoral positions

Please apply directly to the PI of interest. Judging by past experience, those applications that comment intelligently on, or suggest improvements on, recent publications of that lab have the largest chance of success.

PhD Position in “Operator Surrogates for Model-Based AI” at Heidelberg University

The Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University is seeking a highly motivated PhD candidate in applied mathematics to join the Carl-Zeiss Foundation funded project "Model-Based AI: Physical Models and Deep Learning for Imaging and Cancer Treatment".

The focus of the CZS Heidelberg Center for Model-Based AI is on developing methods for parameter inference in the context of medical imaging and cancer treatment. A key challenge in this area is to accurately and efficiently merge data with models in order to make accurate predictions and inform treatment decisions. To address this challenge, this subproject will explore the use of techniques such as low-rank tensor methods, sparse-polynomial methods, and operator surrogates to construct cheap and accurate surrogates for evaluating the underlying physical models. These surrogates will allow for faster and more efficient inference, enabling the development of more effective and personalized treatment strategies.

At Heidelberg University, we are committed to fostering a diverse and inclusive community. We encourage applications from women and individuals from underrepresented groups and strive to create a supportive and welcoming environment for all members of our community.

We welcome applicants with a Master's degree in mathematics or a related field. To apply, please send a CV, transcript of records, and the names of two referees to Herta Fitzer at herta.fitzer@uni-heidelberg.de until January 31, 2023. For more details on the scientific part, please contact project supervisors Prof. Robert Scheichl (r.scheichl@uni-heidelberg.de) and JProf. Jakob Zech (jakob.zech@uni-heidelberg.de).