PDRA Land Surface Modeller - Dynamical Modelling- 18 months
Maynooth University, , Ireland
Apply before: 23 May 2021

Terrain-AI (T-AI) is a collaborative research project coordinated by Maynooth University, and supported by Science Foundation Ireland’s Strategic Partnership Programme involving Teagasc, TCD, UCD, UL and DCU together with primary Industry partner Microsoft. T-AI’s core R&D activity revolves around improving our knowledge and understanding of Land Use activity - as this relates to Climate Change. Expanding global populations, agricultural intensification and climate change are increasing pressures on natural and managed environments. To maximise sustainable land use, it is essential that we develop tools and information services that can inform more effective and sustainable management practices.

A critical component to the success of Terrain-AI is the implementation of a suite of model based approaches to improve our understand of the exchanges of energy, water and gases that occur between the land surface and the atmosphere. This exciting role will focus on the implementation of a dynamical land surface model, incorporating multiple components, including: 1) the use of data integration/assimilation techniques, 2) the representation of biogeochemical and climate interactions, 3) the incorporation of dynamic land cover (e.g. vegetation) and land use (e.g. management activities), necessary to develop state of the art simulations of surface and sub-surface (e.g. soil moisture) fluxes across a range of land cover and land use types (e.g. grassland, cropland, forest, urban etc). The candidate, who will be joining a multi-disciplinary team, will work very closely with the broader land surface modelling team, and specifically the dynamical land surface modelling component in University College Dublin, as well as ecosystem, land use, soil and climate experts.

This is an exciting opportunity for someone to work as part of a larger team and within a dynamic research project.

Details on the post can be found at: and

Closing Date: 23 May 2021

Of interest for:
  • Terrestrial Working Group
  • Hydrology Focus Research Group
  • Human Dimensions Focus Research Group
  • Ecosystem Dynamics Focus Research Group