Research Fellow

5 days ago

Singapore National University of Singapore Full time

Research Fellow (Hybrid AI + Physics-Based Urban Modeling)Location: Kent Ridge Campus Organization: College of Design and Engineering Department: The Built Environment Employment type: Full-time Seniority level: Not Applicable Job requisition ID: 30051Responsibilities Develop and calibrate urban building energy models using physics-based simulation tools Integrate AI and machine learning methods (e.g., surrogate modelling, generative design) to enhance simulation efficiency and scalability. Estimate both operational and embodied carbon emissions at building and district scales. Incorporate various dataset Compile, clean, and manage multi-source datasets (geospatial, climate, building archetypes, construction materials, energy use). Develop reproducible workflows for integrating physics-based and AI-driven approaches. Publish findings in high-impact peer-reviewed journals and present at international conferences. Contribute to policy briefs, technical reports, and outreach materials for industry and government stakeholders. Coordinate with project partners, government agencies, and industry stakeholders, including organising and participating in meetings, workshops, and knowledge-sharing sessions. Qualifications PhD in Architecture, Building Science, Mechanical Engineering, Environmental, Urban Planning, Data Science, or related fields. Some experience in lifecycle analysis or carbon modelling, physics-based building energy modelling and/or urban building energy modelling (UBEM). Strong programming skills (e.g., Python) for simulation automation, data analysis, and AI/ML workflows. Experience with life-cycle carbon assessment methods and tools. Demonstrated track record of research excellence through publications and conference presentations. Familiarity with GIS tools and spatial data processing. Knowledge of urban sustainability, energy policy, and decarbonisation strategies. Ability to work in an interdisciplinary team and engage with external stakeholders. #J-18808-Ljbffr

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