Doctoral Researcher in Computational Uncertainty Quantification (Faculty of Science) University of Oulu in Finland

The University of Oulu invites applications for a Doctoral Researcher position in Computational Uncertainty Quantification within the Faculty of Science. This opportunity is part of the SPARSe Academy Fellowship project, focusing on strategic planning and analysis for reduced sensing in inverse problems, and is closely connected to the FAME Flagship for Advanced Mathematics for Sensing, Imaging, and Modelling. The position is based in the Research Unit of Mathematical Sciences, renowned for its international profile in inverse problems, applied mathematics, computational mathematics, and uncertainty quantification.

The research project addresses inverse problems that arise in diverse fields such as medical imaging, geophysical imaging, industrial sensing, and astronomical imaging. Unlike traditional approaches that reconstruct full images or fields, this project aims to infer the Quantity of Interest directly from sparse and strategically selected measurements. The central concept is that many relevant quantities in inverse problems possess low-dimensional geometric structures—curves, surfaces, or interfaces—which can be described using manifold-based models, Bayesian uncertainty quantification, and computational methods for partial differential equations.

The doctoral researcher will contribute to the development of mathematical and computational methods for direct inference of low-dimensional Quantities of Interest, uncertainty quantification for manifold-based models, sparse and optimal measurement strategies, numerical algorithms for Bayesian inverse problems, and applications in X-ray computed tomography and/or seismic imaging. The project integrates applied mathematics, numerical analysis, probability, inverse problems, and computational modelling, with strong links to real-world applications in medical and geophysical imaging.

Supervision will be provided by Assistant Professor Babak Maboudi Afkham in the Inverse Problems Group at the University of Oulu. The research environment is active, international, and collaborative, offering expertise in inverse problems, uncertainty quantification, computational mathematics, mathematical imaging, and applied analysis. The project includes opportunities for collaboration with national and international partners in applied mathematics, medical imaging, and geophysics.

The position offers a clear three-year PhD project, supervision in an internationally active research group, access to modern computational resources including national high-performance computing infrastructure, opportunities to contribute to open-source scientific software, and a supportive and flexible working culture. Additional staff benefits include access to sports, culture, and well-being programs (ePassi).

Oulu, Finland, provides an excellent environment for international researchers, combining a strong technology and research ecosystem with a calm, safe, and nature-rich lifestyle. The city offers extensive cycling routes, public sports facilities, easy access to forests, lakes, and the sea, and a vibrant international community.

Applicants must hold a Master’s degree in applied mathematics or a closely related field, awarded before the start of the contract. Required skills include linear algebra, numerical analysis, applied mathematics, and scientific computing. Advantageous skills include partial differential equations, inverse problems, Bayesian methods, uncertainty quantification, probability theory, functional analysis, optimization, finite element methods, spectral methods, numerical methods for PDEs, computational geometry, and manifold-based modelling. Programming experience is expected; proficiency in Python, Matlab, Julia, or similar scientific computing languages is beneficial. Candidates should demonstrate mathematical foundation, curiosity, independence, and motivation.

The position is fixed-term for 3 years, starting as of 01.09.2026 or as soon as possible thereafter. The starting gross salary is approximately 2600–2800 € per month (before taxes), based on Finnish university demand level chart (levels 2–4) plus up to 50% personal performance component. A trial period of 6 months applies. Staff benefits include access to sports, culture, and well-being programs.

To apply, submit your application online through the University of Oulu recruitment system by 1 June 2026. The application should be written in English and include a cover letter, CV (per Finnish Advisory Board guidelines), certificates/diplomas, and contact information for two referees. Eligible applicants will be invited to an interview, and all applicants will be notified during the selection process. The University of Oulu welcomes applicants from all backgrounds.

For further information, contact Assistant Professor Babak Maboudi Afkham ([email protected]).