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, fractures and fractured ice piles up. Your role and goals The successful candidate will conduct doctoral research on the numerical modelling of sea ice accumulations against coastline and coastal structures
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WPI-AIMEC established by Tohoku University and JAMSTEC | JP Nagar III Phase, Karnataka | India | about 2 months ago
in coastal marine ecosystems and the impact of human activities GC5:Promoting planetary stewardship through projection of marine ecosystem change For details of these GCs, please refer below. https
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modeling (in particular coastal research and climate research) are potentially of interest. Your profile You should have a master's degree and PhD degree in computational engineering, applied mathematics
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University of South Carolina’s School of Earth, Ocean and Environment and contribute to innovative computational research addressing important questions in ocean, coastal, and climate science. The successful
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
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an understanding of large language models or conversational AI frameworks (e.g., OpenAI API, Gemini AI). You have experience setting up and maintaining databases (e.g. SQLite, MySQL). You have an
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Experience Doctoral (PhD) degree in Civil, Ocean, Mechanical Engineering or related field with a focus on Coastal Systems, Coastal Numerical Modeling, Nearshore Field Data Collection, Hydraulic Engineering
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, Geology, Earth Sciences, Civil and Environmental Engineering, Coastal Engineering, or related fields. The successful candidate will have a strong background in numerical modeling and coding (Matlab
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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics