Research Fellow

Job DescriptionAbout ENgAGE: The Centre for Environment and Ageing Well (ENgAGE) is committed to advancing knowledge and practices to enhance environments that foster the physical, psychological, and social well-being of individuals across all age groups. The centre aims to coordinate and consolidate aging-related research, education, and resources within the NUS community, orchestrate capacity-building initiatives, and foster collaboration among diverse stakeholders with a shared interest in meaningful enhancements to living environments for all.Project Background: The "Comparative Study of Housing Typologies for Seniors" (CS-HTS) project investigates ways to adapt existing and future housing to support aging in place and enhance the quality of life (QoL) for older adults in urban context. Using a community science approach, the study aims to collaboratively develop, evaluate, and recommend integrated senior housing models for Singapore. The project incorporates both cross-sectional and longitudinal studies and brings together a multidisciplinary team of experts in architecture, urban design and planning, social sciences, public health, medicine, transportation, technology, and urban economics.We are seeking a highly motivated and talented Research Fellow to contribute to overseeing the process and quality of the CS-HTS project. The Fellow will be under the overall supervision of the Co-Principle Investigator, Research Fellow and work closely with project collaborators.Responsibilities:Engage internal and external collaborators.Conduct and supervise junior research staff in systematic literature review survey design, interview, focus group discussion, discrete choice analysis, quantitative data analysis, data interpretation, and statistical analysis.Preparation of abstracts, posters, manuscripts, and reports.Present research findings to diverse audiences, effectively communicating key insights and providing feedback to the research team.Application Process:Interested applicants should submit a dossier consisting of the following:A cover letter (maximum 3 pages)Up-to-date CVA statement describing their research trajectory, interests and future plansContact details for 4 referees (including applicant's main PhD supervisor) (only short-listed applicants will be invited to submit reference letters)The anticipated start date for the position is 1st October 2024. We will begin evaluating candidates immediately, but the position will remain open until a suitable candidate is found. E-mail applications and further enquiries should be sent to ****** (please indicate "RF1 Application for CS-HTS" as the subject heading).QualificationsPh.D. in Public Health, Urban Studies, Social Sciences, or a related field.Minimum of 1 year of relevant working experience.Strong background and expertise in data science and statistical analysis.Experience in the development of evaluation frameworks and/or assessment tools, particularly in the fields of built environment, health, or well-being, will be highly preferred.Experience in designing attributes and analyzing discrete choice experiments will be an asset.Experience working in interdisciplinary research teams and collaborating across diverse fields.Excellent project management and organizational skillsExcellent written and verbal communication skillsExcellent interpersonal and leadership skillsHighly motivated, independent and able to work in a dynamic environment.
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