7 atmospheric-simulation-and-modeling Fellowship positions at The University of Alabama
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their Ph.D. or have it completed by the start of employment. Skills and Knowledge: Knowledge of modeling and data analytics to develop simulation codes and for conducting data analysis. Superlative ability
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distribution systems, EV charging modeling, distributed energy resources, optimization, control, machine learning, hardware-in-the-loop simulation. Expertise in programming languages such as Python, C
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, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models, with objectives to amplify
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frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well-documented code. Knowledge
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electronic health records) and developing computational models. Establishes frameworks for data modernization, integrating metadata and varied datasets to create databases suitable for cross-disciplinary AI
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provided by researchers. Excellent communication skills and ability to collaborate with a multidisciplinary team. Preferred Qualifications: Expertise in modeling geophysical systems. Strong proficiency in
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research utilizing computer simulations and/or theoretical analyses to investigate dynamical processes in protoplanetary disks around a young star as well as the implications of these processes to planet