Research Fellow (Humanities & Social Studies Education Department) [NIE]
NTU Main Campus, Singapore
Nanyang Technological University
Nanyang Technological University is one of the top universities in Singapore offering undergraduate and postgraduate education in engineering, business, science, humanities, arts, social sciences, education and medicine.The National Institute of Education invites suitable applications for the position of Research Fellow on a 24-month contract at the Humanities & Social Studies Education Department.
Project Title: Projecting Urban Heatwaves and Building Resilience in Singapore and Southeast Asia
Project Introduction: A pivotal challenge confronted by Southeast Asia (SEA) is the intensification of urban heatwaves. During April-May 2023, SEA experienced the unprecedented ‘once-in-200-year’ heatwave, during which many countries set new temperature records of up to 49°C. In comparison to rural and natural land cover, urban areas typically exhibit temperatures 1 to 3°C higher due to the Urban Heat Island (UHI) effect. This effect exacerbates heat stress during heatwaves, resulting in urban temperature increases ranging from 2 to 8°C. In SEA, urban expansion is anticipated to double or even triple by 2050 under fossil-fuelled development pathway. Meanwhile, the severity and frequency of heatwaves is being escalated in the context of global warming. Amidst these dynamics, the intertwining factors of a growing and ageing urban population add a complex layer to the region's risk and resilience landscape. The expanding urban population amplifies the vulnerability to heatwaves. Resilience, on the other hand, is challenged by the simultaneous ageing of the urban population. An ageing demographic potentially strains existing healthcare systems and support structures, making adaptive measures against urban heatwaves more intricate. In this evolving context, comprehensive risk assessment and tailored resilience strategies are imperative to navigate the complex interplay between rapid urbanisation, warming climate, and the associated escalating heatwave threats, as well as a growing and ageing urban population. Our proposal has three overarching goals. Firstly, we will build the physics-based and machine learning-based modelling systems to better understand the characteristics of SEA urban heatwaves. Secondly, based on the established modelling systems, we will provide quantitative prediction of the frequency-intensity-duration dimensions of SEA urban heatwaves in the future warming climate coupled with urban expansion using the established modelling systems. And thirdly, with projection of future heatwaves, we will conduct social science research to examine how heatwaves in the future would impact local communities. The integration of physics-based modelling and social science research is to facilitate resilience planning and policy making.
Requirements:
Doctoral degree in areas related to geography, computing and/or information science
Proficiency in numerical weather prediction models, remote sensing and statistics
Proficiency in programming with Fortran and Python
At least 1 year of working experience in academia
Experience in academic report writing or paper publication
Experience with geography fieldwork
Able to work independently and possess strong follow-through skills
A team player in a multi-cultural environment
Strong communication and organization skills
Strong analytical, problem-solving and writing skills
Responsibilities:
Manage research project
Liaise and work with research stakeholders and vendors
Literature reviews to synthesize prior studies
Propose, design, and implement appropriate research methodologies
Remote sensing and field data collection, storage and archival
Other general quantitative data analysis
Writing of reports, publications, and presentation materials
Planning and executing tasks to achieve key deliverables
Administrative duties as assigned by Principal Investigators
Application
Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.
Closing Date
Closing date for advertisements will be set to 14 calendar days from date of posting.
Hiring Institution: NIE* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Fortran Machine Learning Physics Python Research Statistics
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