The UKRI Centre for Doctoral Training (CDT) in the ‘Application of Artificial Intelligence to the study of Environmental Risks’ (AI4ER) will, through several multi-disciplinary cohorts, train researchers uniquely equipped to develop and apply leading edge computational approaches to address critical global environmental challenges by exploiting vast, diverse and often currently untapped environmental data sets.
Embedded in the outstanding research environments of the University of Cambridge and the British Antarctic Survey (BAS), the AI4ER CDT will address problems that are relevant to building resilience to environmental hazards and managing environmental change. The primary application areas will be:
The AI4ER CDT is offering at least 10 UKRI fully-funded PhD studentships to start in October 2020.
Students in the CDT cohorts engage in a one-year Master of Research (MRes) course with a taught component and a major research element, followed by a three-year PhD research project. Students will receive high-quality training in research, professional, technical and transferable skills through a focused core programme with an emphasis on development of data science skills through hackathons and team challenges. Training is guided by personalised advice and the expertise of a network of partners in industry, government, the third sector and beyond.
For further information regarding the programme see our website: ai4er-cdt.esc.cam.ac.uk
Applicants should ensure they read the information provided on the following links for application requirements and clarification on funding eligibility.