- Puesto: Técnico en gestión del agua
- País: Inglaterra
- Localidad: Wallingford
- Empresa: NERC – Centre for Ecology & Hydrology,
- Salario: 22,224£
CEH is looking to recruit an enthusiastic and committed hydrological modeller to work in our Water Resources Science Area. The post-holder will focus on water resources management from field to global scales, applying a range of CEH models to understand the hydrology of catchments in the UK and abroad. Within the role you will develop broad hydrological expertise with a specialisation in water resources modelling.
You will contribute effectively to a variety of current and planned projects that involve hydrological modelling, including those in the UK (for example, under the NERC funded DRY project investigating drought) and India (as part of the UPSCAPE project focusing on the Cauvery basin in southern India) and sub-Saharan Africa.
You will work on developing and applying some of CEH’s hydrological models, with a focus on our DiCaSM catchment scale model and GWAVA (Global Water AVailability Assessment) model. They will tackle issues such as integrating climate and hydrological data to better understand water availability and improving estimation of water demands and abstractions from both surface water and groundwater sources.
- water resources hydrology (including advanced knowledge of, catchment water balance components, hydrological process understanding, hydrological estimation)
- hydrometeorological measurement and observations (hydrometric and meteorological in-situ measurements; remote sensing/earth observations; remote data acquisition methods)
- hydrometeorological data processing, management and analysis (automated and manual quality control methods, data visualisation, statistical data analysis using scripts, handling and interpretation of large, high-frequency datasets)
- application of software programming languages (Visual Basic, Python or Fortran), GIS, R statistics and relational database management systems, to development and implementation (calibration and validation) of stochastic and deterministic hydrological models at a variety of temporal (from near-real time to long-term average) and spatial-scales (from field to regional-scale)
- scenario development and testing
- the evaluation of uncertainty and error propagation in hydrological models
- improved research skills in communication, stakeholder engagement, networking and scientific project planning.