全职 Research Scientist (1-year contract), SMU Urban Institute 工作, 薪水, Singapore Management University 公司招聘中 - Ricebowl

Responsibilities

The SMU Urban Institute, launched in early 2024, is a university-level research institute dedicated to advancing an interdisciplinary research agenda. Leveraging SMU's strategic position as a dynamic management university in Singapore's city centre, the Institute aims to make a meaningful impact through the study of Asian cities. We are currently seeking individuals with specific skillsets to support the various ongoing research projects at the Institute.

The Research Scientist Will Work Closely With PI And The Broader Project Team, Including Partners From Other Institutions, To Execute All Phases Of The Built-Environment Health (BE-H) Project. The Job Scope Involves

• Conduct literature reviews and evidence synthesis on the relationships between the built environment, behaviour, and health outcomes.
• Support the identification, development, and prioritisation of indicators capturing mental wellbeing, perceived environment quality, behaviour, and related outcomes.
• Interact with other team members to coordinate the definition of the input data structure.
• Carry out the activities of the WP III (Consolidation and Evidence Synthesis) pillar within the BE-H project, ensuring that the related deliverables are completed by the relevant deadlines and meet the required quality standards.
• Support the other pillars of the BE-H project, in particular WP Hor I (Technology Integration for Monitoring and Prevention).
• Work collaboratively with project team members and external partners across relevant disciplines including urban studies, public health, psychology, and computational methods.
• Develop GitHub-ready code with clear and comprehensive documentation.
• Contribute to the preparation of papers for submission to A/A* journals and conferences.
• Contribute to the preparation of grant proposals.
• Other duties as assigned.
  
  

Qualifications

• A Ph.D. degree in a relevant discipline including Mathematics, Statistics, Computer Science, Environmental Health, Built Environment, and related disciplines.
• Experience with artificial intelligence, Generative AI (LLMs), programming, knowledge-base system.
• Experience with systematic, scoping, umbrella, or meta review methods.
• Ability to integrate evidence from different sources and methods.
• Ability to work independently.
• Motivation to translate the findings into a peer-reviewed article.