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. This position work closely with the DevOps Manager, System/Site Reliability Engineer, Research Software Engineers, hydrologic modelers, and experts in GIS, AI/ML, and databases and provides hydrologic model
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in the PhD, Master's and Bachelor/Licentiate degree, or integrated master's degree (30%); Criterion 2. Advanced knowledge of 3D mapping, and integration with GIS and Digital Twin architectures
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and geographic information systems (GIS). Familiar with DevOps practices and version control systems (Git). Comfortable with shell scripting (bash) and markup languages (YML, XML, HTML). 5+ years
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
, there may also be opportunities to contribute to MIT courses on urban design, GIS, data visualization, and the relationship between technology (including AI) and the urban environment. A full job
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) that represents entities such as people, projects, grants, publications, places, and outputs—and models their relationships over time. The position will build robust Python-based ETL/ELT pipelines, implement SQL
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Skilled in feature extraction Programming ability using Python or MATLAB, and familiar with platforms such as Scikit-image, TensorFlow, or PyTorch Desirable: PhD in a related area Knowledge of reinforcement
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tools such as R, Python, GIS software, and photogrammetry platforms to generate reliable plot-level phenotypic datasets suitable for plant breeding analysis. 15% – Training, Documentation, and
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, international research team performing leading research in climate adaptation engineering, probabilistic assessment and GIS modelling. The researcher will primarily be based in University College Cork (UCC) but
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data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python
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their acquisition, processing, and analysis, knowledge of environmental and spatial data formats (including netCDF, GeoTIFF), proficiency in GIS tools (ArcGIS, QGIS), knowledge of statistical methods and time series