Singapore - MIT Alliance for Research & Technology
SMART is a major research enterprise established by the Massachusetts Institute of Technology (MIT) in partnership with the National Research Foundation of Singapore (NRF). SMART serves as an intellectual hub for international research collaborations, between researchers from MIT, Singapore Universities, Research Institutes, Agencies, Hospitals and Industry. At SMART, we identify and carry out research on critical problems of societal importance, while simultaneously instilling and promoting a culture of translational research and entrepreneurship in Singapore. Five interdisciplinary research groups (IRGs) have been established to date: BioSystems and Micromechanics (BioSyM), Center for Environmental Sensing and Modeling (CENSAM), Future Urban Mobility (FM), Infectious Diseases (ID) and Low Energy Electronic Systems (LEES).
Postdoctoral Associate – Microclimate (Ref: IRG_CENSAM_2016_019)
jobsDB Ref. JSG400003002958494
Employer Ref. Ref: IRG_CENSAM_2016_019
We are seeking a motivated Postdoctoral Associate to join us to conduct research in urban microclimate in the highly urbanized and industrialized city of Singapore. The candidate is expected to participate in ongoing studies targeting urban heat island and urban environment modelling, including airflow, temperature, and hydrological processes from micro- to meso-scale, to analyse the numerical results, and to perform other relevant duties when necessary (e.g., prepare datasets for modelling input and paper writing).
The position will be based at the Center for Environmental Sensing and Modeling (CENSAM), an interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART), with collaboration with other CREATE entities (ETH, TUM-CREATE, and NUS).
• An earned PhD degree in environmental/mechanical engineering, meteorology, physical geography or related fields is required.
• Knowledge of urban climate and urban environment is a must.
• Expertise of microscale (e.g., computational fluid dynamics models) and/or mesoscale models (e.g., Weather Research and Forecasting with urban canopy model) in urban thermal environment simulations is required. Experience in modelling wind, temperature and humidity in complex, realistic urban area is preferred.
• Basic knowledge and hands-on experience of at least one scripting/computer language (e.g. C/C++, Fortran, Python, Matlab) is required; proficiency of Linux operating environment is an advantage.
• Some knowledge of geographical information system (GIS) will be an advantage.
• Ability to work independently as well as in a team.
• Strong oral and written communicating skills are required.
Interested applicants will have to submit their full CV/resume (including list of publications), a cover letter/research statement and list of three references (to include reference names and contact information) to Prof Leslie Norford and Dr Li Xianxiang. We regret that only shortlisted candidates will be notified.