Research Assistant/Engineer (AI for Sustainable Buildings)

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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.