Phd/doctoral Erlangen, Germany Apply
Friedrich-Alexander-Universität Erlangen-Nürnberg
Applied Mathematics (Continuous Optimization)
Cauerstraße 11
91058 Erlangen

The project is the mathematical part within an interdisciplinary transfer project of the Collaborative Research Centre 814 “Additive Manufacturing” at the FAU involving researchers from Mathematics, Engineering as well as Industry. In this interdisciplinary research project thin structures in 3D printed components are investigated. For this, we seek to establish and analyze a novel material model, taking geometrical effects in elastic behavior into. In contrast to classical linear elasticity models, the material coefficients are instantiated in a nonlinear and nonlocal way. By this, boundary effects (e.g. surface roughness) due to the printing process can be approximated. The model will be implemented in a topology optimization framework and software. As the presence of thin structures implies rather fine resolutions, also HPC aspects are involved.

Our team: Chair of Applied Mathematics (Continuous Optimization) Prof. Dr. Michael Stingl. Currently 1 professor, 2 postdocs and 7 doctoral candidates. Focus in both, applied mathematics as well as computational engineering. Our division has many interdisciplinary collaborations inside FAU and beyond.


  • M.Sc. or PhD in mathematics or a related subject with strong mathematical focus
  • Profound knowledge in ideally all three fields optimization, PDE numerics and analysis
  • Programming skills in MATLAB/ Python and ideally in C++
  • Structured and independent working practice, good communication skills in English and ideally German

Additional comments

  • Project start: May 1st 2021 or earlier
  • The duration of the project is 3 years (can be extended)
  • The project is funded by Deutsche Forschungsgemeinschaft (DFG) - Collaborative Research Centre 814

Application Instructions

Applications should be submitted via e-mail as a single pdf file to Prof. Michael Stingl ( before February 15th 2021 and must include:

  • informative and concise letter of motivation
  • short CV
  • master degree including academic transcripts
  • statement of research interests

If you have further questions, you may contact us via

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Contact Person
Prof. Michael Stingl