Jan Glaubitz
Assistant Professor and Docent
Department of Mathematics
Linköping University
SE-581 83, Linköping, Sweden
Email: jan.glaubitz@liu.se
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Short Bio
Welcome! I am an Assistant Professor and Docent at Linköping University and the PI of a VR Starting Grant. My research lies at the intersection of numerical analysis, Bayesian inverse problems, and uncertainty quantification. I develop hierarchical Bayesian learning and data assimilation methods, as well as structure-preserving numerical methods for hyperbolic conservation laws. Before joining Linköping University in 2024, I held postdoctoral positions at MIT, where I was part of Youssef Marzouk’s UQ Group, and at Dartmouth College, where I was mentored by Anne Gelb. I earned my Dr. rer. nat. at TU Braunschweig under the supervision of Thomas Sonar, with a thesis on shock capturing and high-order methods for hyperbolic conservation laws.
News
I will offer a PhD course on Computational and Bayesian Inverse Problems from October 26 to 30, 2026. I am grateful to the SeSE initiative for supporting the course with 160K SEK.
Together with Yiqiu Dong (DTU) and Lassi Roininen (LUT University), I organized the StanCon 2026 workshop Bayesian Inference for Sparsity-Promoting and Edge-Preserving Priors in Probabilistic Programming on August 21, 2026, in Uppsala.
Jan Habscheid joined the team as a PhD student in June 2026. Welcome, Jan!
My VR Starting Grant project, Beyond polynomials: Summation-by-parts operators for general function spaces (4.8M SEK ≈ 445K EUR, 11% approval rate), has been selected for funding.
I have been awarded a Zenith Career Development Grant (3M SEK ≈ 280K EUR, 16% approval rate).