Jobs:Job-00296
From CSDMS
Dynamical Land Surface Modeller
Maynooth University, , Ireland
Apply before: 17 January 2021
Apply before: 17 January 2021
|
Posting:
Position: (postdoctoral) research position
Apply before: 17 January 2021
Apply online:
|
Terrain-AI (T-AI) is a collaborative research project coordinated by Maynooth University (http://www.mu.ie), and supported by Science Foundation Ireland’s Strategic Partnership Programme involving Teagasc (Irish agricultural research body), Trinity College Dublin, University College Dublin, University of Limerick and Dublin City University, 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.
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. The main objective of the role is to investigate the role of land cover, land-use and land management on biogeochemical fluxes of carbon, specifically, but also other relevant gases. The outputs from this research will provide a basis to inform and guide more sustainable land use management and provide an evidence base for policy formulation.Of interest for: Terrestrial Working Group Hydrology Focus Research Group Ecosystem Dynamics Focus Research Group
