Join the NUS Team: Research Fellow Opportunity in Urban Modelling

Are you passionate about urban studies and eager to contribute to research that enhances living environments for all age groups? The National University of Singapore (NUS) is inviting applications for a Research Fellow in Urban Modelling within the Centre for Environment and Ageing Well (ENgAGE). This exciting position is part of the Comparative Study of Housing Typologies for Seniors (CS-HTS) project, aimed at adapting housing for older adults in urban settings.

About ENgAGE

ENgAGE is dedicated to advancing knowledge and practices that foster the physical, psychological, and social well-being of individuals across all age groups. The centre works to consolidate aging-related research and resources, orchestrate capacity-building initiatives, and promote collaboration among diverse stakeholders interested in enhancing living environments.

Project Overview

The CS-HTS project investigates ways to improve existing and future housing to support the aging population. Utilizing a community science approach, the study aims to develop, evaluate, and recommend integrated senior housing models tailored for Singapore. This research involves both cross-sectional and longitudinal studies and brings together a multidisciplinary team of experts in architecture, urban design, social sciences, public health, and more.

Key Responsibilities

As a Research Fellow, you will:

• Conduct microclimate evaluations to understand environmental impacts on housing.
• Perform quantitative data analysis to support research findings.
• Prepare research outputs, including abstracts, posters, manuscripts, and reports.
• Present research findings to diverse audiences, effectively communicating key insights.

Qualifications

To apply for this position, candidates should possess:

• A Ph.D. in Architecture, Engineering, Urban Studies, or a related field.
• A minimum of 1 year of relevant working experience.
• Strong expertise in urban modelling and computational fluid dynamics (CFD) simulation.
• A solid background in data science and statistical analysis (highly preferred).
• Experience working in interdisciplinary teams and collaborating across various fields.
• Excellent project management, organizational, and communication skills.
• Strong interpersonal and leadership abilities.
• A high level of motivation and the ability to work independently in a dynamic environment.

Why Join NUS?

NUS is a leading institution known for its commitment to research excellence and societal impact. By joining the ENgAGE team, you’ll have the opportunity to contribute to meaningful research that addresses the needs of aging populations and enhances urban living environments. This role offers a collaborative and innovative atmosphere where your work can make a real difference.

Application Process

Interested applicants should submit a dossier that includes:

1. A cover letter (maximum 3 pages) detailing your interest and fit for the role.
2. An up-to-date CV.
3. A statement describing your research trajectory, interests, and future plans.
4. Contact details for 4 referees, including your main PhD supervisor.

The anticipated start date for the position is October 1, 2024. Applications will be reviewed immediately, and the position will remain open until a suitable candidate is found. For inquiries and applications, please email ekiyota@nus.edu.sg with the subject line “RF2 Application for CS-HTS”.