Research Fellow (Hybrid AI + Physics-Based Urban Building Energy Modeling)

National University of Singapore; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

A leading educational institution in Singapore is seeking a researcher to develop urban building energy models and analyze carbon emissions. The successful candidate will work with diverse datasets and engage with stakeholders through outreach and coordination efforts. Publications in peer-reviewed journals are expected as part of the role.

Qualifications

• Experience in developing urban building energy models using physics-based simulation tools.
• Knowledge of AI and machine learning methods for simulation enhancements.
• Ability to work with multi-source datasets and develop reproducible workflows.

Responsibilities

• Develop and calibrate urban building energy models.
• Estimate carbon emissions for buildings and districts.
• Compile and manage datasets for simulations.
• Publish findings in peer-reviewed journals.
• Coordinate with stakeholders and conduct workshops.

Job description

Model Development

• 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.

Carbon Emissions Analysis

• Estimate both operational and embodied carbon emissions at building and district scales.
• Incorporate various datasets

Data Management & Integration

• 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.

Research & Dissemination

• 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.

Stakeholder Engagement & Coordination

• Coordinate with project partners, government agencies, and industry stakeholders, including organising and participating in meetings, workshops, and knowledge-sharing sessions.