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: Bibliography and identification of the energy system components. Theoretical modeling and simulation of the flow systems. Data analysis. Assisting the PI and the sponsor in grant writing for other funding
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. Theoretical modeling and simulation of the flow systems. Data analysis. Assisting the PI and the sponsor in grant writing for other funding of this project. Participate in weekly meetings and help to prepare
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execution and management. They will oversee data analysis, and present research findings in written reports and oral presentations to funding agency, project partners, and the scientific and broader community
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Responsibilities: The individual will be responsible for project execution and management. They will oversee data analysis, and present research findings in written reports and oral presentations to funding agency
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; successful PhD thesis defense with pending graduation will be considered Experience with theoretical modelling and data analysis using Machine Learning is required. Preferred Qualifications: Physical
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Qualifications: A PhD in Mechanical Engineering required; successful PhD thesis defense with pending graduation will be considered Experience with theoretical modelling and data analysis using Machine Learning is
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transportation data analysis, network modeling, dynamic traffic assignment and simulation. Demonstrated experience in programming and statistical analysis platforms such as Python, R, and Java. Good communication
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degree in transportation engineering. Demonstrated experience in transportation data analysis, network modeling, dynamic traffic assignment and simulation. Demonstrated experience in programming and