PhD Fellowship available for research on integrated water resources data in supporting decisions
Earth2Observe
This project, "Global Earth Observation for integrated water resource assessment", or Eath2Observe in short has the objective to integrate global Earth Observations (EO), in-situ datasets and models to develop a comprehensive global water resources re-analysis dataset. Within the project a team of some 29 leading universities and research institutes from across Europe as well as internationally will work on testing new EO data sources, extending existing processing algorithms and combining data from multiple satellite missions in order to improve the overall resolution and reliability of EO data. These data will be combined with terrestrial and model data to establish a global water resources re-analysis dataset, which will be disseminated through an open data Water Cycle Integrator portal and contribute to the GEOSS platform.
Error characteristics of the datasets will be established, as well as how these errors propagate through large scale water resource models that provide datasets used in supporting water resources decisions. The usability and operational value of the datasets developed in supporting decisions will be verified in selected case studies across the world, including the Mediterranean and Baltic regions, Ethiopia, Morocco, Colombia, Australia, New Zealand and Bangladesh. These case studies will be conducted together with local end-users and stakeholders.
Description of PhD Research
Requirements
- MSc degree (average mark of 80% or above) in a discipline relevant to the topic (e.g. Hydrology, Water Resources Management, Environmental Sciences, Civil Engineering)
- Experience in hydraulic / hydrological modelling, water resources modelling, statistics and uncertainty analysis. Experience with economic valuation methods would be an asset.
- Well developed IT skills, includng computer codes such as Python, R, Matlab, as well as hydrological and water resources models.
- A high proficiency in English (written and spoken). Candidates with proficiency in Spanish will have an advantage
- Motivation to work in a multidisciplinary and multicultural environment