Research assistant position in “PDE and Machine Learning” (m/f/d)

Ihr Arbeitsplatz

Ihre Aufgaben

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.

Ihr Profil

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)

Wir haben einiges zu bieten: Unsere Benefits

• Regelmäßiger Stufenanstieg und steigendes Gehalt nach Tarifvertrag für den öffentlichen Dienst der Länder (TV-L) beziehungsweise Besoldung nach BayBesG sowie zusätzliche Jahressonderzahlung
  
• Urlaubsanspruch von 30 Tagen pro Kalenderjahr bei fünf Arbeitstagen pro Woche, mit zusätzlichen freien Tagen am 24. und 31. Dezember
  
• Betriebliche Altersversorgung sowie vermögenswirksame Leistungen

• Thorough onboarding process with a dedicated team
  
• Joint team activities
  
• Place of work within comfortable walking distance of public transport
  
• Family-friendly environment with childcare options, also during school holidays
  
• Flexible working hours
  
• A wide range of training courses and opportunities for professional development

Stellenzusatz

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.




This call at FAU DCN-AvH's website: dcn.nat.fau.eu

See open positions at

See the of this open call

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