Erstellt am 31. Mai 2026
Postdoctoral Researcher (f/m/d) in Numerical Analysis and PDEs (ID 20260529)
Technische Universität München
München, Bavaria 80333, Germany
Vollzeit
Reference: 1116537306
Postdoctoral Researcher (f/m/d) in Numerical Analysis and PDEs (ID 20260529)
29.05.2026, Academic staff
This is a fully funded, project-independent research position without teaching obligations, offering substantial academic freedom and the opportunity to develop an independent research profile within an interdisciplinary and international environment. The position is initially limited to two years, with the possibility of extension.
Ever heard of concepts like model order reduction, nonlocal PDE operators or OpenMP/MPI/CUDA parallelization? If such terms are familiar for you - and if you are excited by the mathematical analysis, development, and rigorous understanding of numerical methods for PDEs beyond their sole application - then please be informed that we are seeking a highly motivated postdoctoral researcher to join the group of Prof. Dr. Barbara Wohlmuth at the Chair of Numerical Mathematics at the TUM School of Computation, Information and Technology.
We strongly encourage applications from women and individuals currently underrepresented in mathematics and computational sciences.
This is a fully funded, project-independent research position without teaching obligations, offering substantial academic freedom and the opportunity to develop an independent research profile within an interdisciplinary and international environment. The position is initially limited to two years, with the possibility of extension.
Research Environment
Our research combines rigorous mathematical analysis with modern scientific computing and interdisciplinary applications. We are particularly interested in candidates with a strong foundation in mathematical theory and analytical reasoning for PDE-based models and numerical methods.
Research areas within the group include:
• Analysis and numerics of nonlinear PDEs
• Development and analysis of solver and coupling methods
• Mathematical modeling and simulation
• Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods)
• High-dimensional algorithms and high-performance computing
• Interdisciplinary applications ranging from biomechanics and geophysics to fluid and polymer models
Further information can be found here:
https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/
Typical responsibilities:
• Development and analysis of PDE-based mathematical models
• Derivation, analysis, and implementation of numerical methods and simulation algorithms
• Rigorous mathematical analysis and proofs (e.g. convergence, existence, uniqueness, stability)
• Scientific computing and efficient implementation in research software frameworks beyond commercial solvers
• Interdisciplinary collaboration with researchers from applied sciences
• Publication and presentation of research results at international venues
• Optional: co-supervision of Bachelor's and Master's theses
What you bring:
• An excellent PhD degree in Applied Mathematics or a closely related field with substantial training in rigorous mathematical analysis beyond the regular higher mathematics and numerical methods classes
• A strong theoretical background in functional analysis, PDE theory, and the mathematical analysis of numerical methods
• Demonstrated ability and interest in theorem-oriented research, including rigorous derivations, proofs, and analytical reasoning
• Experience in mathematical modeling and the development or analysis of numerical methods for PDEs
• Strong scientific programming skills in C/C++ and Python for the implementation and investigation of mathematical models and numerical methods
• Ability to work independently and collaboratively in an interdisciplinary research environment
• Enthusiasm for mathematically challenging research questions motivated by real-world applications
Please note that this position is primarily aimed at candidates with a strong background in rigorous applied mathematics and mathematical research. In particular, we are seeking applicants interested in the analytical and numerical foundations of PDE-based modeling and simulation, including theorem-oriented work such as derivation, analysis, and mathematical justification of methods. The position is therefore less suited to applicants whose background is primarily focused on the application of commercial simulation software or purely application-driven engineering workflows.
What we offer
• A supportive, international, and interdisciplinary research environment
• Collaboration opportunities with leading academic and industrial partners
• Access to modern computational infrastructure, including GPU clusters and supercomputers
• Scientific freedom and excellent development opportunities
• Salary according to the German public service pay scale TV-L E13 (depending on qualifications and experience)
TUM aims to increase the proportion of women in research, and therefore explicitly encourages applications from women. The position is also suitable for individuals with severe disabilities. Applicants with severe disabilities will be given preferential consideration if they are equally qualified in terms of suitability, competence, and professional performance.
Application deadline: 10 July 2026
Please send us the following documents:
• A compelling cover letter
• An Up-to-date CV
• Final transcript of records from your Master's and PhD degree
• Name, institution, and email address of one or more professors who are willing to directly provide a letter of recommendation upon request. Please do not submit recommendation letters as part of the application.
• If you have relevant publications (including your PhD thesis) that should be considered as part of the application, feel free to share them with us, preferably with a link to the publication.
Application via email:
Please send your documents combined in a single PDF file to: [email protected] with the subject "Application for Research Position NM".
Application by mail: Please send the above-mentioned documents to:
Charlotte Rasmussen
Chair office of Numerical Mathematics (M2)
TUM School of Computation, Information and Technology
Boltzmannstraße 3, D-85748 Garching, Germany
Please do not submit original documents! We kindly inform you that submitted documents will not be returned after the completion of the application process, but will be destroyed in compliance with data protection regulations.
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: [email protected]
More Information
https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/
Titelbild Titelbild, Titelbild (Type: image/png, Size: 336.9 kB) Save attachment
29.05.2026, Academic staff
This is a fully funded, project-independent research position without teaching obligations, offering substantial academic freedom and the opportunity to develop an independent research profile within an interdisciplinary and international environment. The position is initially limited to two years, with the possibility of extension.
Ever heard of concepts like model order reduction, nonlocal PDE operators or OpenMP/MPI/CUDA parallelization? If such terms are familiar for you - and if you are excited by the mathematical analysis, development, and rigorous understanding of numerical methods for PDEs beyond their sole application - then please be informed that we are seeking a highly motivated postdoctoral researcher to join the group of Prof. Dr. Barbara Wohlmuth at the Chair of Numerical Mathematics at the TUM School of Computation, Information and Technology.
We strongly encourage applications from women and individuals currently underrepresented in mathematics and computational sciences.
This is a fully funded, project-independent research position without teaching obligations, offering substantial academic freedom and the opportunity to develop an independent research profile within an interdisciplinary and international environment. The position is initially limited to two years, with the possibility of extension.
Research Environment
Our research combines rigorous mathematical analysis with modern scientific computing and interdisciplinary applications. We are particularly interested in candidates with a strong foundation in mathematical theory and analytical reasoning for PDE-based models and numerical methods.
Research areas within the group include:
• Analysis and numerics of nonlinear PDEs
• Development and analysis of solver and coupling methods
• Mathematical modeling and simulation
• Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods)
• High-dimensional algorithms and high-performance computing
• Interdisciplinary applications ranging from biomechanics and geophysics to fluid and polymer models
Further information can be found here:
https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/
Typical responsibilities:
• Development and analysis of PDE-based mathematical models
• Derivation, analysis, and implementation of numerical methods and simulation algorithms
• Rigorous mathematical analysis and proofs (e.g. convergence, existence, uniqueness, stability)
• Scientific computing and efficient implementation in research software frameworks beyond commercial solvers
• Interdisciplinary collaboration with researchers from applied sciences
• Publication and presentation of research results at international venues
• Optional: co-supervision of Bachelor's and Master's theses
What you bring:
• An excellent PhD degree in Applied Mathematics or a closely related field with substantial training in rigorous mathematical analysis beyond the regular higher mathematics and numerical methods classes
• A strong theoretical background in functional analysis, PDE theory, and the mathematical analysis of numerical methods
• Demonstrated ability and interest in theorem-oriented research, including rigorous derivations, proofs, and analytical reasoning
• Experience in mathematical modeling and the development or analysis of numerical methods for PDEs
• Strong scientific programming skills in C/C++ and Python for the implementation and investigation of mathematical models and numerical methods
• Ability to work independently and collaboratively in an interdisciplinary research environment
• Enthusiasm for mathematically challenging research questions motivated by real-world applications
Please note that this position is primarily aimed at candidates with a strong background in rigorous applied mathematics and mathematical research. In particular, we are seeking applicants interested in the analytical and numerical foundations of PDE-based modeling and simulation, including theorem-oriented work such as derivation, analysis, and mathematical justification of methods. The position is therefore less suited to applicants whose background is primarily focused on the application of commercial simulation software or purely application-driven engineering workflows.
What we offer
• A supportive, international, and interdisciplinary research environment
• Collaboration opportunities with leading academic and industrial partners
• Access to modern computational infrastructure, including GPU clusters and supercomputers
• Scientific freedom and excellent development opportunities
• Salary according to the German public service pay scale TV-L E13 (depending on qualifications and experience)
TUM aims to increase the proportion of women in research, and therefore explicitly encourages applications from women. The position is also suitable for individuals with severe disabilities. Applicants with severe disabilities will be given preferential consideration if they are equally qualified in terms of suitability, competence, and professional performance.
Application deadline: 10 July 2026
Please send us the following documents:
• A compelling cover letter
• An Up-to-date CV
• Final transcript of records from your Master's and PhD degree
• Name, institution, and email address of one or more professors who are willing to directly provide a letter of recommendation upon request. Please do not submit recommendation letters as part of the application.
• If you have relevant publications (including your PhD thesis) that should be considered as part of the application, feel free to share them with us, preferably with a link to the publication.
Application via email:
Please send your documents combined in a single PDF file to: [email protected] with the subject "Application for Research Position NM".
Application by mail: Please send the above-mentioned documents to:
Charlotte Rasmussen
Chair office of Numerical Mathematics (M2)
TUM School of Computation, Information and Technology
Boltzmannstraße 3, D-85748 Garching, Germany
Please do not submit original documents! We kindly inform you that submitted documents will not be returned after the completion of the application process, but will be destroyed in compliance with data protection regulations.
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: [email protected]
More Information
https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/
Titelbild Titelbild, Titelbild (Type: image/png, Size: 336.9 kB) Save attachment
