Research assistant position in “PDE and Machine Learning”
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
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 research assistant position.
Position Details
• Duration: Initially limited to up to two (2) years, with the possibility of extension.
• Starting Date: To be adapted to the availability of selected candidates (preferably on January 15, 2026).
• Salary: Competitive international annual gross salary following the German TV-L (A13 / E 13) scale.
• Location: The position is based in Erlangen, Bavaria, Germany.
While the primary focus is on research, collaboration with the Chair activity and mentoring is required. The position is funded by the state of Bavaria and comes with some teaching duties.
Your profile
Desirable 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 and written)
Application Procedure
Application Deadline: Interested candidates are invited to submit their applications via email to dcn-jobs[at]fau.de by January 7, 2026.
Applicants should provide the following information:
a) Cover Letter:
• Brief description of the topic and results of your PhD thesis.
• Brief description of your previous postdoctoral activities (if applicable).
• Description of your expectations for the PhD/postdoctoral position in our research group.
b) Curriculum Vitae:
• Including a list of publications and preprints.
c) Reference Information:
• List of 2-3 professors (with contact information) who can provide a reference letter. Explain your connection to them. No recommendation letters are required at this stage.
d) Tentative Research Proposal:
• One-page proposal aligned with the ERC CoDeFeL project research scope.
Please send a single PDF file (titled FAU_ERCassis2026_candidateNameLastname.pdf) with the required information via email to dcn-jobs[at]fau.de with the following information
* Subject of Email: FAU Assistant 2026
Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for an interview, either in person or online.
Institutional Values
FAU Erlangen-Nürnberg is committed to international standards, transparent performance agreements, equal opportunity, inclusivity, support for underrepresented groups, an inclusive culture, and diversity. The university also prioritizes the needs of dual career couples and is recognized as a family-friendly employer.
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