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Job Description
• Develop and implement AI and machine learning algorithms for urban-scale building energy modeling
• Integrate AI techniques with existing building energy simulation tools
• Analyze large datasets of building energy and related urban data and create predictive models for energy use in urban environments
• Publish research findings in peer-reviewed journals and present at conferences
• Assist in grant writing and research proposal development
• Mentor graduate students in related research projects and assist with teaching as necessary
Job Requirements
• PhD in Built Environment, Computer Science or a related field
• Strong background in machine learning, deep learning, and AI techniques
• Experience with building energy modeling software (e.g., EnergyPlus, OpenStudio)
• Proficiency in programming languages such as Python, R, or MATLAB
• Familiarity with urban data analysis and GIS tools
• Good written and verbal communication skills
• Track record of peer-reviewed publications in relevant fields
