Programme

From the simulation of complex systems, through the design and automation of laboratory experiments, to the analysis of small and large-scale data, computational methods are at the heart of 21st Century biomedical research. Biomedical research is therefore dependent as never before on research software.

The EPSRC & MRC CDT in Sustainable Approaches to Biomedical Science: Responsible and Reproducible ResearchSABS:R3, will address this need. It consists of a consortium of internationally leading, computational biomedical researchers drawn from the University of Oxford, and 24 industrial and institutional partners. The doctoral research projects undertaken each year will be industrially-derived and sponsored, and will have joint industrial and academic supervision in the areas of:

  • computational approaches to structural biology;
  • physiological modelling; and,
  • medical imaging.

SABS:R3 graduates will not only be trained to be first-rate biomedical research scientists, but will also be:

  • equipped with the skills needed to transform their research by the creation of innovative, re-usable computational tools and solutions;
  • trained in best-practices in sustainable software engineering;
  • fully-versed in current and emerging technologies and hardware paradigms;
  • trained in the ethical, legal, and technical landscape of open and sustainable software; and,
  • prepared for the challenges and opportunities provided by the standards-based but non-traditional routes of academic research dissemination that are emerging.

Scientists with this combination of skills are in great demand, in both academia and industry, but are in scarce supply.

If you're interested in cutting-edge, systems approaches to biomedical research, in learning about advanced practices in software engineering, and want to have an impact on industrially-relevant challenges, you should apply to the Sustainable Approaches to Biomedical Science: Responsible and Reproducible Research (SABS R³) Centre for Doctoral Training.

We encourage applications from students from a wide range of academic backgrounds, including:

  • Mathematics
  • Computing
  • Statistics
  • Chemistry
  • Biochemistry
  • Physics
  • Biology 
  • Pharmacology
  • Engineering