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National University of Singapore (NUS)

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Kent Ridge Campus

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

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

Job Description

Job Title: Research Fellow (Hybrid AI + Physics-Based Urban Modeling)

Posting Start Date: 18/08/2025

Job Description

  • 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.

Job Requirements

Essential:

  • 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.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department: The Built Environment

Employee Referral Eligible: No

Job requisition ID: 30051

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