Statistics, inverse problems, uncertainty quantification and data science
Our researchers combine statistical and mathematical models, data science and computational algorithms to solve real-world problems.
PhD projects
We welcome applications for PhD study in all areas of statistics, inverse problems, uncertainty quantification and mathematical aspects of data science.
PhD enquiries related to this theme can be directed to Dr Stefan Güttel (applied and numerical analysis projects) and Professor Korbinian Strimmer (statistics projects).
To tackle the complex challenges of modern society, and due to increases in available computing power and data, traditional disciplines in statistics and applied mathematics are merging into exciting new inter-disciplinary fields.
Building on a strong tradition of statistics and numerical analysis in Manchester, our researchers work in a range of inter-connected areas, combining statistics, mathematical models, data science and computational algorithms to solve problems arising in engineering, life sciences and public health.
