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agricultural or ecological settings. Experience with GIS (Geographic Information Systems) or spatial analysis for landscape-level studies. Experience with scientific writing in English You need to be able
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hydrological conditions is an advantage Experience with machine learning models and hydrologic/hydraulic modeling Strong familiarity with tools such as SWMM and GIS Proficiency in programming and data analysis
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engineering problems is highly desirable. Proficiency in programming languages such as Python, MATLAB, or R. Experience with digital tools for 3D modelling, GIS, or drone-based mapping. Ability to analyse
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strong advantage. Experience conducting fieldwork GIS skills Experience in teaching and/or mentoring Courses or other experience in social anthropology Good problem-solving skills Driver’s license class B
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meet the requirements for admission to the faculty of engineering's Doctoral Programme Good oral and written communication skills in English High level competency in GIS and Hydrology Field experience