项目介绍

2025年4月19日

The position in the group of Prof. Dr. Barbara Wohlmuth is a project-independent research position without teaching obligations. It offers the opportunity to pursue project-independent research in one of the group’s numerous research areas, with a focus on Applied Mathematics, Numerical Simulation, and various interdisciplinary projects.

In line with our commitment to promoting gender equity in research, we are pleased to offer this outstanding position. This initiative aims to strengthen the representation of female scientists in our projects and to provide talented women with an xcellent opportunity to contribute to pioneering research in our field.

The position is initially limited to two years, with the possibility of extension.

Position and Research Overview:

The advertised position is a project-independent research position without teaching responsibilities. It allows for the autonomous selection of a specific research topic from the areas represented within the group. The group’s interdisciplinary focus includes not only classical topics in numerical analysis, such as the analysis of nonlinear PDEs, but also modeling and simulation aspects across a wide range of fields – from biomechanics and geophysics to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dimensional problems, alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing.

A selection of possible research areas can be found on our website: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/

Typical responsibilities you can expect:

• Mathematical derivation, analysis, and comparison of models, methods, and simulation approaches
• Formal proofs, e.g., for convergence, existence, and uniqueness of solutions
• Fast prototyping of new ideas in individual code
• Implementation of new models, methods, and algorithms into an existing framework, with a focus on efficiency
• Design and realization of relevant simulation pipelines: from real-world data to mathematically and (e.g., clinically) applicable results
• Publication of results in scientific outlets (journals, conference papers, lecture contributions, etc.)
• Active participation in academic self-governance, e.g., through co-supervision of Bachelor’s and Master’s theses

Requirements – What you bring:

• Master’s or PhD degree in Applied Mathematics, Computational Science and Engineering (CSE), or related fields with outstanding academic performance
• Strong programming skills and experience in languages such as C/C++, FORTRAN, Python, Julia, or MATLAB
• Knowledge in numerical methods and simulation, particularly for partial differential equations and finite element methods
• Basic understanding of mathematical modeling with and/or partial differential equations
• A team-oriented, structured, and organized work approach
• Enthusiasm for interdisciplinary projects
• Optional, but helpful for certain topics: experience with Lattice-Boltzmann methods and their implementation, High-Performance Computing experience, methods of Uncertainty Quantification

Offer – What you can look forward to:

• A dynamic, international team from various disciplines, with collaboration opportunities with international partners
• A young and motivated research environment at an internationally renowned university with strong connections to leading research institutes and industry partners
• A diverse range of activities in exciting, forward-looking, and varied research fields and projects, with numerous development opportunities
• Modern hardware and infrastructure at the workplace, from compute and GPU servers to supercomputers
• Opportunity for a PhD (Dr. rer. nat.) in one of the group’s diverse research areas
• Salary according to the public service pay scale (TV-L E13). The actual salary depends on academic experience, tax class, etc.

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.

Your Application:

If we have piqued your interest in the position, please apply referencing this job advertisement to Prof. Dr. Barbara Wohlmuth.

Application deadline: Wednesday, 14-th of May 2025

Please send us the following documents:

• A compelling cover letter
• Current CV
• Final transcript of records from your most recent academic degree (Bachelor’s/Master’s/PhD)
• 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 Master’s 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: office@nm.cit.tum.de with the subject “Application for Research Position“.

Application by mail: Please send the above-mentioned documents to:
   Prof. Dr. Barbara Wohlmuth, Chair of Numerical Mathematics (M2)
   TUM School of Computation, Information and Technology
   Boltzmannstraße 3, D-85748 Garching

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.

Internal reference number: 20250415_092016

Privacy Notice:
As part of your application for a position at the Technical University of Munich (TUM), you are providing personal data. Please take note of our privacy information in accordance with Article 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of ersonal data in the context of your application at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application, you confirm that you have acknowledged the TUM’s privacy notice.

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: Chair for Numerical Analysis, Prof. Dr. Barbara Wohlmuth: office@nm.cit.tum.de