Non-tenure-track/postdoctoral Erlangen, Germany Apply by
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Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
Cauerstraße 11, 91058 Erlangen
91058 Erlangen
Germany
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Postdoctoral Researcher in Applied Mathematics

Control, Dynamical Systems and Machine Learning

ERC Advanced Grant CoDeFeL
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Erlangen, Germany
Deadline: Friday, October 30, 2026

The Chair for Dynamics, Control, Machine Learning, and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH), led by Prof. Enrique Zuazua, invites applications for a postdoctoral researcher position in applied mathematics within the ERC Advanced Grant CoDeFeL – Control for Deep and Federated Learning.

We seek outstanding researchers with strong expertise in an area of applied mathematics, including partial differential equations, control theory, dynamical systems, optimization, numerical analysis, scientific computing or the mathematical foundations of machine learning.

Strong expertise in one relevant area is sufficient. Prior experience combining control and machine learning is not required.

The position offers the opportunity to develop your own research and explore new connections with control, dynamical systems and machine learning. Interdisciplinarity can grow through collaboration within the group.
 

Position Details

• Employment: Full-time
• Duration: Two years initially, with the possibility of extension
• Application Deadline: Friday, October 30, 2026
• Starting Date: Flexible, preferably before 1 January 2027
• Salary: German public-sector salary scale TV-L E13
• Location: Erlangen – Bavaria, Germany
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Find more details about this open position at FAU DCN-AvH Careers page

FAU DCN-AvH website: dcn.nat.fau.eu

 


Application Instructions

Find more details about this open position at FAU DCN-AvH Careers page


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Contact Person
Ms. Darlis Bracho-Tudares