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of coding (R and/or Python), enthusiasm for quantitative analysis Desirable: GIS/remote sensing, bioacoustics, machine learning, or statistical ecology. Field experience is useful but not required. Impact and
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methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work - Ability to work independently and in multidisciplinary teams - Strong English communication skills
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. The applicant must have experience in Dynamic WebGIS site development. Geospatial (remote sensing, GIS, & GPS) data acquisition and processing through advanced Data/Image Mining Data Fusion Approach development
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management Nordic forestry Remote sensing data: ALS, TLS, satellite (e.g. sentinel2), aerial images Statistical modelling and analysis GIS e.g. ArcGis, Qgis, R Programming, e.g. R, Python, C etc. Field work
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if interested. More information on the internship program is available here: https://kgs.ku.edu/geohydrology-internship-program POSITION: KGS Geohydrology Internship Program STARTING DATE: Week of May 26, 2026
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practices. Certifications/Licenses Required Knowledge, Skills, and Abilities Excellent communication skills and computer literacy. Programming skills (R, Matlab, Python, and/or GIS). Ability to exhibit
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/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS
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and developer on large scale GIS and remote sensing projects ● Design and implement advanced remote sensing workflows, including image preprocessing, classification, change detection, and time-series
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with Microsoft Office Suite and familiarity with statistical and geospatial software such as Python, R, and GIS applications (e.g., ArcGIS, QGIS). Ability to work collaboratively as part of a
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. Ability to multi-task, prioritize and meet deadlines. Ability to be flexible and change between projects and tasks as requirements change. Familiar with GIS and programming languages (e.g. R, SQL, Python