Welcome to StatML

StatML is a Centre for Doctoral Training (CDT) based at Imperial and Oxford.

The Modern Statistics and Statistical Machine Learning CDT is a four-year PhD/DPhil research programme (or longer if studying part-time). It will train the next generation of researchers in statistics and statistical machine learning, who will develop widely-applicable novel methodology and theory and create application-specific methods, leading to breakthroughs in real-world problems in government, medicine, industry and science.

The CDT will provide students with training in both cutting-edge research methodologies and the development of business and transferable skills – essential elements required by employers in industry and business.

Each student will undertake a significant, challenging and original research project, leading to the award of a PhD/DPhil.

The studentships are fully funded for the four years and come with a generous allowance for travel, equipment and research costs. The next cohort of CDT students will start in September 2023 with applications being invited now. Around 15 studentships are available, covering maintenance at an enhanced rate (currently £18,062 per year) plus tuition fees.

Studentships are open to all nationalities and we are particularly keen to receive applications from women, minority groups and members of other groups that are underrepresented in technology. Applicants in possession of other funding scholarships or industry funding are also welcome to apply – please provide details of your funding source on your application.

We would like to receive applications from individuals who hold (or expect to receive) a masters level degree (or equivalent) in mathematics, statistics, physics, computer science, engineering, or in a closely related subject.