En el marco de la colaboración que tiene CONACYT con el Instituto Internacional para el Análisis de Sistemas Aplicados (IIASA, por sus siglas en inglés), se anuncia esta comunicación referente a una posición de Becario de Investigación postdoctoral en el modelado de los recursos hídricos mundiales que está ofreciendo el Programa de Agua del IIASA (WAT) en el marco de las iniciativas: Los futuros de agua y soluciones (WFAS) y las soluciones integradas para Agua, Energía y Tierra (ISWEL). La convocatoria se encuentra abierta y cerrará hasta que la plaza sea ocupada.
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Dear Council Members and NMO Secretaries,
As part of the Water Futures and Solutions (WFaS) and the Integrated Solutions for Water, Energy, and Land (ISWEL) initiatives, IIASA's Water Program (WAT) is offering a position as a post-doc in global water resources modeling.
Tasks:
Assist in developing the WAT Community Water Model (CWatM) Develop groundwater flow module and water allocation module within CWatM Assist in the development and analysis of databases of river discharge, groundwater heads, soil moisture worldwide Assist developing methods for scaling and incorporating policy and management options into macro-scale hydrological models Perform statistical analysis of the gridded output of global hydrological model(s). Publish relevant results of own research in peer-reviewed journals and participate in scientific conferences and workshops.
Skills and Qualifications:
PhD degree in hydrology, environmental science, engineering or a related field Proven analytical skills and ease in manipulating large data sets and complex modeling systems Experience with both river basin scale and global scale spatial hydrological models Strong interest and background in integrative systems analysis and development of tools to support water management decisions Experience with global circulation data, hydrological model data and climate change impact assessments Experience with global, multi-model intercomparison initiatives (ISI-MIP) Ability to write reports independently, complying with donor requirements. Programming knowledge and proficiency (Python, Fortran, C/C++, or Java) Experience with programming libraries to handle large datasets (e.g. Netcdf) or hydrology (PCRaster) Experience with geographic information systems (ArcGIS, or QGIS) Fluency in English.
Full details about this opportunity and how to apply can be found here
Please assist us in soliciting as many suitable applications as possible by distributing this information to all potentially interested parties.