We are one of the largest and oldest universities in Europe and one of the most important employers in our region.
Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne
make us attractive for students and researchers from around the world. We offer a wide range of career opportunities in
science, technology, and administration.
The research focus of the Chair of “Numerical Mathematics
and Scientific Computing” is the development, application,
and parallel implementation of methods for the numerical
solution of partial differential equations. We develop efficient
solvers, particularly domain decomposition and multilevel
methods, as well as numerical homogenization methods.
Furthermore, we are working on accelerating or improving
the aforementioned methods through the use of machine
learning, for example, in domain decomposition methods
or in the development of data-driven and physics-based
surrogate models.
YOUR TASKS
» Collaboration and doctoral studies in a research project
» Development of new hybrid methods for the efficient
numerical solution of partial differential equations, i.e.,
numerical methods accelerated or optimized by machine
learning
» Parallel implementation of the new hybrid approaches in
common, efficient scientific computing software pack-
ages (PETSc, Trilinos, etc.)
» Application of the developed methods in various fields of
medicine or materials science, for example, in the simu-
lation of problems in fluid dynamics or solid mechanics
» Participation in teaching activities in German (3 semes-
ter hours per week)
YOUR PROFILE
» Very good university degree (Master’s or Diploma) in
mathematics, business or industrial mathematics
» Very good knowledge of the discretization of partial
differential equations
» Very good knowledge of iterative solvers and precondi-
tioners
» Good knowledge in machine learning
» Proficient knowledge in C/C++, Python, and common
machine learning libraries (TensorFlow, PyTorch, etc.)
» Solid command of German and English, both written and
spoken
» Good communication and teamwork skills
WE OFFER
» A diverse working environment with equal
opportunities
» Support in balancing work and family life
» Flexible working time models
» Extensive advanced training opportunities
» Occupational health management offers
» Opportunity to work remotely
The University of Cologne promotes equal opportunities and
diversity. Women will be considered preferentially in accor-
dance with the Equal Opportunities Act of North Rhine-
Westphalia (Landesgleichstellungsgesetz – LGG NRW).
We also expressly welcome applications from all suitable
candidates regardless of their gender, nationality, ethnic and
social origin, religion, disability, age, sexual orientation and
identity.
The positions are available from 1 September 2025 on a
part-time basis (29,87 hours per week). The position is to
be filled for a fixed term until 31 August 2028. If the appli-
cant meets the relevant wage requirements and personal
qualifications, the salary will be based on remuneration
group 13 TV-L of the pay scale for the German public
sector.
Please apply online with proof of the required qualifications
(letter of motivation, CV, list of publications, copies of certi-
ficates) without a photo under: https://jobportal.uni-koeln.de.
The reference number is Wiss2505-15.
The application deadline is 30 June 2025.
For further inquiries, please contact
Professor Dr. Axel Klawonn
(stellenausschreibung-klawonn@uni-koeln.de) and take a
look at our FAQs.
Doctoral student in Applied Mathematics (f/m/x)
Faculty of Mathematics and Natural Sciences
Department of Mathematics and Computer Science/Division of Mathematics