The University of Wuppertal is a dynamic, networked and research-oriented campus university. Collectively, more than 25,000 researchers, academic staff and students face the challenges of science, education, culture, economics, society, technology and the environment.
The University of Wuppertal invites applications for a professorship in randomised algorithms. The position will be based in the School of Mathematics and Natural Sciences. We are looking for an outstanding personality who will continuously develop this area in research and teaching.
Through the institutes IZMD (Interdisciplinary Centre for Machine Learning and Data Analytics), IMACM (Institute for Mathematical Modelling, Analysis and Computational Mathematics), PHI (Port-Hamiltonian Institute), and the theoretical particle physics group we offer an excellent environment for challenging research projects and collaborations.
DUTIES AND REQUIREMENTS
- Relevant, internationally visible research on randomised algorithms at the interplay between theoretical computer sciences (e.g., approximation algorithms for NP-hard problems, or theory of machine learning), practical computer sciences (e.g., asynchronous parallel programming), and applied mathematics (e.g., numerical linear algebra or optimisation).
- Clear connections to other research areas within the research group of Mathematics and Computer Sciences and the IZMD.
- In teaching, the professor will serve and complement the offer in the field of computer sciences, mainly in the undergraduate computer science degree programmes, but also including service lectures. We expect participation in the continuous development of the Computer Sciences curricula.
- Participation in academic self-administration is considered a matter of course.
- Experience in developing new areas of application is desirable.
Start
01 April 2027
Salary grade
W3 LBesG NRW
Reference code
P26007
Contact person
Dean Prof Dr Francesco Knechtli
Applications via
stellenausschreibungen.uni-wuppertal.de
Application deadline
29 June 2026
Formal requirements
§ 36 Section 1 HG NRW
QUALIFICATIONS
- Completed degree (master or equivalent from university or university of applied sciences) in Computer Sciences or in a related field.
- Special aptitude for academic work, usually demonstrated by the quality of a doctorate, a topic relevant to the advertised position is desirable.
- Further relevant scientific achievements performed during a first professorship include junior professorships, habilitations, employment as a research assistant at a university or at a non-university research institution and scientific positions in business, in administration or another social field in Germany or abroad.
- Pedagogical aptitude, which is proven by appropriate previous experience or, exceptionally, demonstrated in the appointment procedure.
- Experience with the successful acquisition of third-party funding is expected.
- You are expected to achieve adequate German language skills within the first two years, within the first year at level B2 and at level C1 within two years at the latest.
You are able to demonstrate your qualification for the position by international, peer-reviewed journal and highly-ranked conference publications, relevant teaching experience, international collaborations, and successful acquisition of third-party funding. Your contributions cover the theoretical analysis of algorithms as well as their implementation in the context of – potentially interdisciplinary – applications. Please enclose relevant certificates and supporting documents with your application.
At the University of Wuppertal, we appreciate individual and cultural differences of our employees and support gender equality, equal opportunities, reconciliation of family and working life. Applications from persons of any gender and persons with disabilities as well as persons with an equivalent status are highly welcome. In accordance with the Gender Equality Act of North Rhine-Westphalia, women will be given preferential consideration unless there are compelling reasons in favour of an applicant who is not female. The same applies to applications from disabled persons, who will be given preference in the case of equal suitability.
