Doctoral and Postdoctoral Positions in Applied and Numerical Analysis
The Chair of Applied and Numerical Analysis at the Technical University of Munich (TUM), led by Prof. Massimo Fornasier, is seeking outstanding candidates to join the newly established research team for the ERC Advanced Grant project “Nonlinear Evolutions and Iterative Algorithms: Optimization and Control.”
The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear
evolutions of various kinds and consider their training as appropriate mean-field control problems. A
special focus is given to the global optimization of nonconvex problems.
We invite applications for Doctoral Researchers (Ph.D. Candidates) and/or Postdoctoral Researchers.
These full-time positions (100%) are initially offered for two years, with the possibility of extension up to a
maximum of five years, depending on performance and project needs.
Responsibilities include collaborative research within the team and with external partners, contribution to
teaching activities, and active engagement in the broader academic life of the group.
Qualifications
- For Doctoral Candidates: Master’s degree in Mathematics.
- For Postdoctoral Researchers: Ph.D. in Mathematics, ideally with a background in one or more of
the following areas: Mathematical Analysis / Numerical Analysis / Theoretical Machine Learning.
Please note: applications from candidates with degrees in other disciplines (e.g., Computer Science,
Engineering) will not be considered.
Applicants must demonstrate:
- An excellent academic record, including top grades and, where applicable, peer-reviewed
publications. - Strong motivation, intellectual curiosity, and the ability to work independently and collaboratively.
- Solid English communication skills (spoken and written). Proficiency in German is not required.
Employment Conditions
- Start date: flexible, from January 2026 onward
- Salary: Based on the German public sector pay scale TV-L E13, commensurate with experience and
qualifications. - Generous funding (> 8k€/year) for travel & participation in international conferences, workshops etc.
The successful candidates will join a dynamic, interdisciplinary, and international research community at
the TUM Garching Research Campus. The TUM Department of Mathematics is part of the TUM School of
Computation, Information and Technology. More information is available on our website: https://www.math.cit.tum.de/en/math/home/
As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from
women as well as from all others who would bring additional diversity dimensions to the university's
research and teaching strategies. Preference will be given to candidates with disabilities who have
essentially the same qualifications.
Application Procedure:
The review of applications will begin September 15th 2025 and will continue until the positions are filled.
To apply, please submit the following documents via AMS mathjobs.org here: https://www.mathjobs.org/jobs/list/26826
- Motivation letter
- Curriculum Vitae, including academic transcripts and a list of publications (if applicable)
- Research statement outlining your interests and goals. Clearly specify your intended focus area:
- Mathematical Analysis
- Numerical Analysis
- Theoretical Machine Learning
- 2–3 academic reference letters (to be submitted directly through MathJobs)
Contact:
For all enquiries regarding the positions, please contact:
Prof. Massimo Fornasier – massimo.fornasier@ma.tum.de
