Research Group of Prof. Dr. Barbara Verfürth
Contact Information
Friedrich-Hirzebruch-Allee 7
53115 Bonn
Germany
Open position
In the research group, we currently have an open PhD position (3 years contract, 75% TV-L E13, possibility to earn a PhD is given, starting date October 1, 2025 or later). The envisioned topic is about numerical multiscale methods (e.g., Heterogeneous Multiscale Method) for linear elasticity with high-contrast coeffcients. We are looking for a candidate with a Master degree in mathematics, a strong background in numerical methods for PDEs and their theoretical error analysis (knowledge about multiscale method not necessary), and some programming knowledge. If you are interested, please contact Barbara Verfürth (ed tod nnob-inu tod sni ta htreufreva tod b@foo tod de) for further information and how to apply.
Research interests
- numerical methods for partial differential equations
- multiscale (finite element) methods
- (numerical) homogenization
- (time-harmonic) wave propagation: Helmholtz and Maxwell equations
- nonlinear PDEs (nonlinear diffusion, nonlinear Helmholtz,…)
Short CV
- since 10/2022: Professor at INS, University of Bonn
- 2020 – 2022: Junior research group leader and Tenure-Track-Professor at Karlsruhe Institute of Technology (KIT)
- 2018 – 2020: PostDoc at University of Augsburg
- 2015 – 2018: PhD at University of Münster
Teaching
Winter semester 2025/26
Summer semester 2025
Winter semester 2024/25
See teaching activities of the whole group.
Research Projects
Current
Numerical methods for nonlinear, random and dynamical multiscale problems
Project 496556642, DFG Emmy Noether.
Completed
TEEMLEAP - A new TEstbed for Exploring Machine LEarning in Atmospheric Prediction
KIT Future Fields.
See all projects of the group.
Publications
Preprints
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Articles
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TEEMLEAP - a new testbed for exploring machine learning in atmospheric prediction for research and education.
J. Wilhelm, J. F. Quinting, M. Burba, S. Hollborn, U. Ehret, I. P. Sanchez, S. Lerch, J. Meyer, B. Verfürth, and P. Knippertz.
Journal of Advances in Modeling Earth Systems, 17(7):e2024MS004881, 2025.
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preprint
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Two-step homogenization of spatiotemporal metasurfaces using an eigenmode-based approach.
P. Garg, A. G. Lamprianidis, S. Rahman, N. Stefanou, E. Almpanis, N. Papanikolaou, B. Verfürth, and C. Rockstuhl.
Opt. Mater. Express, 14(2):549–563, 2024.
See supplement https://doi.org/10.6084/m9.figshare.24849822.v2.
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Proceedings
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Computational multiscale method for nonlinear monotone elliptic equations.
B. Verfürth.
In Oberwolfach Reports, number 35. 2019.
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Thesis
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TEEMLEAP - a new testbed for exploring machine learning in atmospheric prediction for research and education. J. Wilhelm, J. F. Quinting, M. Burba, S. Hollborn, U. Ehret, I. P. Sanchez, S. Lerch, J. Meyer, B. Verfürth, and P. Knippertz. Journal of Advances in Modeling Earth Systems, 17(7):e2024MS004881, 2025. BibTeX DOI preprint
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Two-step homogenization of spatiotemporal metasurfaces using an eigenmode-based approach. P. Garg, A. G. Lamprianidis, S. Rahman, N. Stefanou, E. Almpanis, N. Papanikolaou, B. Verfürth, and C. Rockstuhl. Opt. Mater. Express, 14(2):549–563, 2024. See supplement https://doi.org/10.6084/m9.figshare.24849822.v2. BibTeX DOI
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Computational multiscale method for nonlinear monotone elliptic equations. B. Verfürth. In Oberwolfach Reports, number 35. 2019. BibTeX