Doctoral Researcher, Computational Uncertainty Quantification, Faculty of Science

Doctoral Researcher

Faculty of Science, Mathematical Sciences – Faculty of Science, Research Unit of Mathematical Sciences – University of Oulu, Finland.

Overview
The position is part of the SPARSe Academy Fellowship project: “Strategic Planning and Analysis for Reduced Sensing in Inverse Problems” and is connected to the FAME Flagship – Flagship of Advanced Mathematics for Sensing, Imaging and Modelling.

Project

Inverse problems arise in many areas of science and technology, including medical imaging, geophysical imaging, industrial sensing, and astronomical imaging. Traditional approaches usually reconstruct a full image or field first, and then extract the relevant information in a post‑processing step. This project takes a different approach: instead of reconstructing everything, we aim to infer the Quantity of Interest directly from sparse and strategically selected measurements. The central idea is that many relevant quantitie...