Doctoral studies in Mathematics, Mathematical Statistics, and Computational Science and Engineering
Curious about mathematics research? PhD studies can be undertaken in the third-cycle subjects of Mathematics, Mathematical Statistics, and Computational Science. We currently have around 15 doctoral students, about a third of which are internationally recruited.
Research at the Department of Mathematics and Mathematical Statistics is mainly conducted in four research areas: computational mathematics, discrete mathematics, mathematical modelling and analysis, and mathematical statistics.
If you are interested in graduate studies, a good first step is to write a Master's thesis within the field of your interest. When you fulfil the general and specific entry requirements of one or more of our three PhD programs, specified in the general study plans, you may apply for the corresponding PhD positions the Department regularly advertises. The positions are normally connected to a specific supervisor and research project.
Our PhD students are active in internationally competitive research groups where, under supervision, they learn how to conduct research and how to present research results both orally and in written form. The doctoral studies also include one up to two years of doctoral courses. Moreover, most of our PhD students attend at least one international conference every year, all in order to develop their abilities to become independent and successful researchers.
PhD students normally take part in joint departmental activities such as seminar series, and regular PhD meetings. The associate research environments Computational Life Science Cluster (CLiC), UMIT Research Lab, and Integrated Science Lab (IceLab) offer additional activities. Some of our PhD students have their offices in these research environments, within which several successful researchers are affiliated.
If you are interested in PhD studies and research at the Department of Mathematics and Mathematical Statistics, please visit our website for more information: www.math.umu.se/english/