PhD opportunity in Bayesian Computational Mathematics

We invite applicants for one fully funded PhD position (5 years) in Bayesian Computational Mathematics under the supervision of Prof. Jan Glaubitz (https://www.janglaubitz.com) at the Division of Applied Mathematics, Linköping University, Sweden. The position includes research (80%) and teaching (20%) in English and is compensated with a competitive salary and high job security. The research project is at the intersection of inverse problems, Bayesian learning, and uncertainty quantification and will address fundamental questions about trustworthy uncertainty quantification in science, engineering, and machine learning. For further details and to apply: https://liu.se/en/work-at-liu/vacancies/28185 Application deadline: March 2, 2026 Anticipated start date: Summer 2026 (flexible) Contact: Please don't hesitate to contact Jan Glaubitz (jan.glaubitz@liu.se) with any questions