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Field
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datasets, side-scan sonar, remotely sensed imagery, GIS, and other spatial datasets to produce habitat maps, ecological indicators, habitat suitability assessments, and spatial decision-support products
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, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
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Information Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment
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, Indonesia. The role is GIS, remote sensing, geomorphology, and mapping oriented. We welcome proposals that cross boundaries between humanities and geosciences and experiment with geomorphological
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large volumes of data alongside solid data analysis skills (R, Stata, Python, GIS, etc.) and familiarity with academic writing and publishing are required. Familiarity with fieldwork and data collection
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policy, agronomy, or a related field Desired Qualifications Strong skills in satellite remote sensing, GIS, and statistical analysis. Experience using cloud-based computing resources (e.g. Google
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), GIS and spatial modelling. Proven publication record in peer-reviewed journals. Field experience in data-scarce contexts; experience in Sub-Saharan Africa is an asset. Technical skills Proficiency
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) using field data (traffic cameras, micromobility telemetry, connected vehicle/V2X, crash records, GIS). · Manage and coordinate pilot deployments with city/state DOTs, micromobility
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: Applied AI, Machine Learning and Emerging Computational Methods Environmental Monitoring and Smart Sensing (Indoor/Outdoor, Mobile/Fixed) Remote Sensing, GIS and Spatial Analytics Spatiotemporal Big Data
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. Preferred Qualifications: Experience with GIS, remote sensing, geospatial analysis, GNSS/GPS technologies, or watershed-scale environmental modeling. Experience with antimicrobial resistance (AMR