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Field
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, gridded hydrologic and environmental datasets (e.g., NetCDF, Xarray) Experience, or strong willingness to learn, working with large global models and high-performance computing Strong oral and written
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. This posting is for a fellowship opportunity with the CMEI Integrated Energy Systems Office (IESO), which joins into one office the former wind energy, solar energy, and grid integration programs. IESO drives
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the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting
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challenges for power supply, energy efficiency, resilience, and grid integration. At the same time, Arctic and sub-Arctic regions are becoming attractive locations for AI data centers due to their naturally
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and energy systems. Large-scale EV charging can overload local power grids. Electric transport systems also depend heavily on electricity supply, meaning power outages or extreme weather events can
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structural findings with biochemical and genetic data to define mechanism of action. Develop and optimize workflows for sample preparation, grid screening, and high-throughput image acquisition. Collaborate
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and energy systems. Large-scale EV charging can overload local power grids. Electric transport systems also depend heavily on electricity supply, meaning power outages or extreme weather events can
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theoretical proofs. Testbed Development and Management: Oversee the development, management and utilization of lab testbeds, including smart grid co-simulations, CPS robotics, Software Defined Radios (SDRs
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questions through an exploration-grid methodology, and identify robust effects with clear experimental observables. The role offers substantial intellectual independence within a collaborative team. You will
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scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping