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- Luxembourg Institute of Socio-Economic Research (LISER)
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Field
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to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging through health, retail, mobility, energy and communications. Using GI infections as a case study
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infectious diseases such as gastrointestinal (GI) infections, respiratory infections and sore throats. Using GI infections as a case study, the project will compare trends in OTC medication sales to other
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degree (2.1 +/MSc) in mechanical / civil / environmental engineering, physics or a related quantitative field; strong computing skills (Python/MATLAB/GIS); interest in transport or urban futures. Position
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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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Information Systems (GIS), programming in Python, practical forestry, nature conservation, cultural heritage management, as well as a driver’s license, are considered assets. Place of work: Umeå Forms
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topographic indices as environmental variables for mapping, and satellite data for weather. The doctoral student will be part of a broad research group with expertise in GIS, AI, soil science, forest ecology
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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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skills with R, C, C++ or Python. Desired: Knowledge or experience with spatial statistics, spatial modelling or GIS; Some knowledge with ecology; Excellent writing and communication skills; Experience with
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quantitative field ;•Excellent knowledge and experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS
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experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS, Python is an asset ;•Excellent communication