Major centre for doctoral training

Training a new generation of environmental scientists to become interdisciplinary experts with strong quantitative skills, creative thinkers, and leaders in sustainability and inclusivity. Such knowledge and skills are critical in delivering the ambitious Net Zero, adaptation and restoration plans adopted by governments and businesses worldwide.

Funded opportunities are currently available.

Following the successful FoodBioSystems Doctoral Training Partnership, the DLA is developing bioscientists with in-depth knowledge and technical expertise of food systems and biological processes across the agri-food system, from pre-farm to post-fork, to transform the food value chain and address sustainability challenges.

Funded opportunities are available for 2025; details will be announced soon.

Providing excellent training in quantitative environmental science, to ensure our students become the independent thinkers that our society needs to understand the interactions between people and environmental change, and to evaluate and manage environmental risk and sustainability.

Funded opportunities are no longer available.

Enhancing our capabilities in global data assimilation, simulation and analysis to deliver a new class of accurate, reliable and usable forecasts, with a wide range of novel scientific and societal applications.

Funded opportunities are currently available.

The AI for Unlocking Datasets for Biodiversity Assessment and Prediction (AI-INTERVENE) DFA is training a new generation of AI-empowered data scientists. They will be equipped with the required AI and data science tools, ecological knowledge and wider interdisciplinary skillset to unlock the full potential of the wealth of existing and emerging sources of biodiversity data.

Funded opportunities are currently available.

Training highly skilled mathematicians to become future leaders in innovative research, developing environmental prediction technologies, interpreting very large datasets relating to the Earth system, and modelling risk associated with extreme weather and climate change.

Funded opportunities are currently available.