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Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Urban-Simulations%29/32800-en_GB/
We regret that only shortlisted candidates will be notified.
. Develop and run urban-scale building performance simulations integrating energy demand, thermal comfort, and health-related metrics.
. Model and assess thermal comfort at the building and neighborhood levels or urban scale using indicators such as PMV, UTCI, or equivalent frameworks.
. Incorporate public health data or proxies (e.g., heat exposure, ventilation adequacy, indoor air quality) into urban simulation workflows.
. Collect, process, and integrate urban morphology, weather, and building systems data using GIS and simulation-ready formats.
. Calibrate and validate models with empirical datasets (e.g., sensor data, census health indicators, or climate observations).
. Conduct scenario analysis to evaluate the impact of design or policy interventions on urban vitality, especially for vulnerable populations.
. Visualize and communicate complex simulation outcomes using charts, maps, and interactive tools for both academic and stakeholder engagement.
. Collaborate with a multidisciplinary team including experts in urban planning, environmental health, and computational modeling.
Required:
. A Bachelor's or Master's degree in Building Science, Building Performance Simulations, Environmental Engineering, or a related field.
. Experience with building energy modeling tools
. Understanding of thermal comfort modeling, indoor climate conditions, and their relevance to human health.
. Proficiency in Python, Javascript or similar platforms for parametric modeling and data automation.
. Strong analytical, organizational, and communication skills.
Preferred:
. Experience with urban-scale simulation platforms
. Knowledge of urban climate adaptationin the built environment, or resilience planning.
. Ability to link simulation results to equity-focused or health-outcome frameworks.
. Experience with data visualization tools and workflows for communicating simulation results to varied audiences.
. Publication experience
Job ID: 147098427