PhD : Assimilation of satellite images of soil moisture in a pesticide transfer model in a small ag
- Employer
- Global Academy Jobs
- Location
- France
- Closing date
- Mar 20, 2019
View more
- Sector
- Science, Environmental Sciences, Social and Behavioral Sciences, Geography, Veterinary Medicine
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
Job Details
The first major part of the thesis will focus on research and methodological development of soil moisture image assimilation (satellite and EM measurements), which is an original and very recent problem in data assimilation. The second part will evaluate this method, and gradually integrate in situ data (pesticide concentrations at the outlet or at certain points in the basin), until the optimal quantity and distribution of these measurements are determined to reasonably reduce model uncertainty. The methods will be tested on the Morcille watershed, on which the team has a very rich database in hydrology and water quality, and which will make it possible to test many hypotheses, in particular on the spatial and temporal availability of the in situ data to be assimilated. However, the thesis will focus on developing a framework for PeshMelba with the condition that it must be applicable and easily adaptable to any change: new watershed, new data, new landscape elements or processes.
Eligibility Criteria
- Applicants must have a Masters degree or equivalent qualification when the contract is signed.
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The doctoral student will have an engineering or university degree in applied mathematics and/or environmental sciences, with strong programming skills (Python, R and/or Fortran).
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Experience and/or sensitivity to environmental protection will be appreciated.
Company
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