Master of Science by Research in Agroecology, Water and Resilience

We are looking for exceptionally talented, motivated and creative scholars interested in a new generation of issues linked to the sustainable food supply for the planet, the governance of food systems, technical and social aspects of food production, hydrological processes and change, eco-hydrology, provision of clean water, and community resilience or adaption to climate change.The Centre for Agroecology, Water and Resilience (CAWR) is driving innovative, transdisciplinary research on the understanding and development of resilient food and water systems internationally.Food and water security is increasingly threatened by factors such as climate and environmental change, loss of biodiversity, conflict and market volatility. New knowledge, policies and technologies are needed to develop systems that are more resilient to change and which ensure the health of our food and water supplies. Resilient systems are better able to bounce back from stresses caused by longer-term change or short-term events - be it natural processes such as flooding, or human impacts such as war or water pollution incidents.Through its focus on food and water, the Centre’s research develops and integrates new knowledge in social, agroecological, hydrological and environmental processes, as well as the pivotal role that communities play in developing resilience. Unique to this Centre is the incorporation of citizen-generated knowledge - the participation of farmers, water users and other citizens in transdisciplinary research, using holistic approaches which cross many disciplinary boundaries. CAWR also aims to advance resilience science through creative work on a new generation of key issues linked to the governance of food systems, hydrological change, urban water, river processes, water quality and emerging pollutants.

Minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average.