Enrique Zuazua
4 days ago
Postdoctoral Researcher in Applied Mathematics Friedrich-Alexander-Universität Erlangen-Nürnberg in Germany
Degree Level
Postdoc
Field of study
Deep Learning
Funding
Available
Deadline
Oct 30, 2026
Country
Germany
University
Friedrich-Alexander Universität Erlangen-Nürnberg

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About this position
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is advertising a Postdoctoral Researcher in Applied Mathematics within the Chair for Dynamics, Control, Machine Learning, and Numerics (FAU DCN-AvH) in Erlangen, Bavaria, Germany.
The position is hosted by the team led by Prof. Enrique Zuazua and is part of the ERC Advanced Grant CoDeFeL — Control for Deep and Federated Learning. The appointment is strongly research-oriented and focuses on applied mathematics topics related to control, dynamical systems, machine learning, numerical analysis, and the mathematics underlying deep and federated learning.
This is a full-time postdoctoral post, initially for two years with the possibility of extension. The role is funded through the ERC/Horizon Europe framework and pays according to the German public-sector salary scale TV-L E13. The expected starting date is flexible, preferably before 1 January 2027.
Applicants should hold a PhD or equivalent in applied mathematics or a closely related field and should have good English proficiency. The post is suitable for early-stage, recognised, or established researchers who want to contribute to an active ERC team and participate in the scientific activities of the chair.
The application deadline is 30 October 2026 at 23:59 (Europe/Berlin). Applications should be submitted through the FAU careers page, and further details are available via the additional job information link.
Funding details
Available
What's required
A PhD or equivalent in mathematics or a closely related field, specifically applied mathematics, is required. Applicants should have good English proficiency. The role is research-oriented and suited to candidates with interest or experience in control, dynamical systems, machine learning, and numerical methods.
How to apply
Apply via the official FAU careers page using the provided application link. Submit the application before 30 October 2026 at 23:59 Europe/Berlin. Check the additional job details page for further instructions and updates.
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