Numerical analysis and scientific computing
Our researchers develop and analyse algorithms that compute numerical approximations and apply them to real-world problems.
We welcome applications for PhD study in all areas of numerical analysis and scientific computing.
PhD enquiries related to this theme can be directed to Dr Stefan Güttel.
Numerical analysis is the branch of rigorous mathematics that deals with the development and use of methods for solving problems in computational science and engineering. It is a broadly based discipline that sits at the interface between mathematical analysis and scientific computing.
Computational science is commonly accepted to be a third mode of science, complementing experimentation/observation and theory.
Scientific computing is the study of the techniques that underpin discipline-specific fields of computational science. The fundamental requirement is to enhance computational efficiency without compromising accuracy.
From core methodological research to the development of open-source software, our researchers have expertise in the following areas:
Our staff, students and postgraduate researchers have access to a fantastic range of facilities across the University.
Find the Department's recent publications in the University's database.
Discover the PhD opportunities available in the Department of Mathematics.