Research Assistant/Engineer (AI for Sustainable Buildings)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading university in Singapore is inviting applicants for a role focused on urban building energy modelling and carbon emissions analysis. The successful candidate will develop advanced simulation tools, engage with stakeholders, and contribute to high-impact research. Essential qualifications include a Bachelor's degree in a relevant field and strong programming skills, particularly in Python. This position offers a collaborative environment and the opportunity to engage with various stakeholders across the industry.

Qualifications

• Bachelor in a relevant field; Master's preferred.
• Experience in lifecycle analysis or carbon modelling.
• Strong programming skills for simulation automation.

Responsibilities

• Develop urban building energy models using simulation tools.
• Estimate carbon emissions at building and district scales.
• Compile and manage multi-source datasets.

Skills

Programming skills (e.g., Python)

Experience in carbon modelling

Data analysis

Education

Bachelor in Architecture, Building Science, Mechanical Engineering, Environmental, Urban Planning, Data Science

Master's degree (preferred)

Job description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

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.

Job Requirements

Essential:

• Bachelor in Architecture, Building Science, Mechanical Engineering, Environmental, Urban Planning, Data Science, or related fields (Masters preferred)
• 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.
• Ability to work in an interdisciplinary team and engage with external stakeholders.