Phd/doctoral Erlangen, Germany Apply
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
Dynamics, Control, Machine Learning, and Numerics – AvH
Cauerstraße 11
91058 Erlangen
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The "Chair for Dynamics, Control, Machine Learning, and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH)," led by Professor Enrique Zuazua, invites applications for two (02) open postdoctoral research positions at the ERC CoDeFeL, Control for Deep and Federated Learning project.

Context of the ERC-CoDeFeL project

CoDeFeL seeks to make a breakthrough that takes the mathematical foundations of Machine Learning beyond their present frontiers, through the systematic development of new ideas and methods inspired by control theory.

Position Details

• Duration: Initially limited to up to three (3) years, with the possibility of extension.
• Starting Date: To be adapted to the availability of selected candidates (preferably on September 1, 2024).
• Salary: Competitive international annual gross salary following the German TV-L (E 13) scale.
• Location: The positions are based in Erlangen – Bavaria, Germany.

While the primary focus is on research, collaboration with the Chair activity and mentoring is encouraged.

Application Instructions

Your profile. Requested background knowledge

• PhD in Applied Mathematics or Machine Learning
• High level/experience in Control and/or Machine Learning
• Proven experience in Partial Differential Equations and Numerical Analysis
• Computational skills to develop computational codes (Python and MATLAB)
• Ability to work independently and collaboratively in an international and interdisciplinary team
• Excellent knowledge of English (oral/written)

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Contact Person
Ms. Darlis Bracho-Tudares