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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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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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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
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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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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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, Statistics, or Geography ;Strong proficiency in Python is required ;Knowledge of remote sensing, GIS, and Copernicus data is a plus ;Excellent command of English.LISER particularly encourage female
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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
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, Environmental science, Geosciences or related fields programming experience in Python or extensive experience in another high-level programming language is a prerequisite experience in geospatial data science