Agricultural land management is increasingly dependent on models and data from sensors, satellites and other sources, to ensure that soil, crops and livestock are managed at a very fine scale to enable precise management of nutrients and pesticides, whilst enhancing ecological processes that support agriculture.
You will develop new understandings of flows of nutrients between the soil and plants, to enable more precise approaches to soil management and fertiliser use, using experiments in controlled environments, field plots, farms and broader landscapes as appropriate. You will draw upon investments in data, analytical systems and sequencing that offer a revolution in our mechanistic understanding of those processes that underlie agriculture, especially at critical interfaces, such as the rhizosphere and livestock digestive tracts. You may also draw upon the soil instrumentation networks being installed at the University of Leeds Farm and elsewhere.
You will have experience of using advanced sensing and analytical skills, ideally to investigate biological problems in addition to a coherent vision for the development of your research within the context of sustainable agriculture and should work closely with specialists in agricultural, plant sciences, ecology, geography, informatics and engineering, as well as within regional, national and international networks.
A proven record of achievement in international quality publications is essential to contribute to the University’s ambition to excel at REF2020. In addition, the candidate will provide research supervision and attract research students to the University and undertake a teaching load deemed appropriate by the Head of School, which will be significantly reduced in the first years of the fellowship.
University Grade 8 (£38,511 to £45,954)
For informal enquiries about the role please contact Professor Brendan Davies, tel: +44 (0)113 343 3123, email: B.H.Davies@leeds.ac.uk.