The Design for Climate and Comfort lab is seeking researchers and PhD students for projects on daylighting, thermal performance, occupant behavioural prediction, and post-occupancy building evaluations. Interested parties should contact Alstan Jakubiec to discuss the positions in more detail.


PhD Student with focus in Sustainable Design (4 years)

Learn more about the SUTD PhD programme

We are seeking PhD students interested in improving the quality of the built environment using quantitative building performance analysis and critical design-thinking.


Postdoctoral Fellow / Research Assistant in Daylighting (1-2 years)

Jobs Bank link (postdoctoral fellow) | Jobs Bank link (research assistant)

This position is for a postdoctoral research fellow or research assistant to support a study on regional daylighting preferences in the tropics. The goals of the project are: (a) to establish tropical daylighting and visual comfort preferences that inform daylighting standards for commercial offices, educational spaces in institutes for higher leaning and residential buildings in Singapore, (b) to understand how rules of thumb can be applied in Singapore so that detailed lighting simulations are not required for buildings which meet a certain standard of beneficial lighting criteria, and (c) to propose useful daylighting analysis methods and metrics which reflect the lighting preferences of Singaporeans. This project involves detailed post-occupancy evaluations of buildings, the construction and interpretation of predictive lighting models, and statistical analysis of large sets of data.


Research Assistant in Tropical Facade Performance (1 year)

Jobs Bank link

This position supports research which investigates the environmental performance of tropical architectural façade elements and aims to establish a catalogue of characteristic features across façade strategies in tropical climates. The scale of investigation ranges from small technological elements (e.g. window ledges, or textures on facades in order to perforate the envelope and to maximise its surface area), to medium scale architectural components (e.g. specific window types and how they are set into walls). These elements and their attributes will be collected from traditional and modern examples located throughout Singapore as well as informed designs from the research team. The research assistant will aid in performing detailed field measurements and calibrated building performance simulations in order to investigate the performance of façade elements. The research assistant will also learn to build and analyse scale models for the prediction of fluid flow. The results of this project will be communicated to the public through an open ‘guidebook’ website on tropical sustainable facades, peer-review publications, and a local exhibition with fabricated water table models presented alongside the study results.


Research Assistant in Occupant Behaviour (1-2 years)

Jobs Bank link

This position is a part of the Sustainable Futures project in the Lee Kuan Yew Centre for Innovative Cities (LKYCIC). The project investigates human behaviours related to air conditioning, electric lighting and window shade operation. Through this work, a successful applicant will support the goal of making the city of Singapore more sustainable by consuming less energy in the operation of buildings. We seek a researcher to assist in running a long term observational field study in real commercial and residential spaces. The researcher will assist to monitor the behaviour of building occupants as they operate window shades, electric lights and thermostats and to translate these observations into predictive models using statistical analysis. Complex data will be collected from individual data loggers (temperature, humidity, occupancy, and light), images (luminance and façade photographs), subjective post-occupancy surveys and simplified environmental simulations. This data will be processed in order to identify building operational changes due to occupant behaviour and associated environmental causes. Detailed statistical analysis and clustering models will be applied to the collected data in order to use the results to inform building design decisions.