Jobs:Job-00160: Difference between revisions
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|State member=NO STATE | |State member=NO STATE | ||
|MOI meeting country=France | |MOI meeting country=France | ||
|JOB application_deadline=2020 | |JOB application_deadline=2020-06-30 | ||
|JOB begin review process=No | |JOB begin review process=No | ||
|JOB file description=PhD offer UMR LISAH Montpellier-2020.pdf | |JOB file description=PhD offer UMR LISAH Montpellier-2020.pdf | ||
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* collaborate with other researchers and PhD students of his working team and develop national or international partnerships. | * collaborate with other researchers and PhD students of his working team and develop national or international partnerships. | ||
For more information, see uploaded document: https://csdms.colorado.edu/ | For more information, see uploaded document: https://csdms.colorado.edu/csdms_wiki/images/PhD_offer_UMR_LISAH_Montpellier-2020.pdf | ||
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Latest revision as of 18:11, 14 October 2021
Apply before: 30 June 2020
Posting:
Position: PhD Position
Apply before: 30 June 2020
See attached file:
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To answer this general challenge, the PhD project aims (i) at assessing the performance of application of a mechanistic landscape model of pesticide transfer in catchments with limited data and (ii) at developing a simplified mathematical form of the mechanistic model by a meta-modelling approach.
Specific objectives
The PhD project aims to
- evaluate a hydrological model of pesticide transfer, MHYDAS-Pesticides, developed within the LISAH laboratory, under optimal conditions, using long-term data from a long term observatory (OMERE),
- to evaluate the potential use of MHYDAS-Pesticides in the context of reduced data, according to different modelling objectives, and
- to build and test a simplified numerical format of the MHYDAS-Pesticides model for different landscape and pedoclimatic configurations using metamodelling techniques.
Organization of the PhD thesis
The PhD project is expected to last 3 years. It will take advantage (i) of the database of the OMERE environmental research observatory, including the catchments of Roujan (Hérault) and Kamech (Cap Bon, Tunisia), and of (ii) of the OpenFLUID platform for modelling landscape flows, both managed by the LISAH, and (iii) of computing resources at the Meso@LR intensive computing mesocenter. The project is also part of a scientific and industrial partnership for the development of operational approaches to diagnose the pressure-impact relationship on the scale of watersheds through collaboration with the Envilys company (http://www.envilys.com).
The responsabilities of the PhD student during this project will be to:
- operate mechanistic modelling of hydrological pesticide and apply numerical methods for sensitivity analysis, model calibration and meta-modelling
- disseminate results via peer-review publications and attendance of international conferences
- collaborate with other researchers and PhD students of his working team and develop national or international partnerships.