Research Fellow, Spatial Health and Human Dynamic
Research Fellow (Post-doctorate) Position for Spatial Health and Human Dynamics research projects in Department of Geography, National University of Singapore (NUS)
The Department of Geography, NUS is looking for an enthusiastic researcher to work with Associate Professor Feng Chen-Chieh and Associate Professor Wang Yi-Chen on spatial health and human dynamics research projects, funded by the Ministry of Education, Singapore, for two years. The candidate will lead the development of geo-computational and quantitative methods for spatiotemporal data analysis, in the context of public health. Applications will include, but are not limited to, spatiotemporal modelling of disease transmission and risk, extractions of urban structures and human mobility patterns, and influences of urban configurations on health. Successful candidate should be scientific-driven and perform and manage the project tasks and outputs independently.
The Research Fellow is required to:
- Develop automated workflow for extracting urban structures.
- Analyze urban structure through a series of network analyses.
- Develop geo-computational and quantitative methods for spatial health data analysis.
- Participate in project meetings and manuscript writing.
- Assist in project presentation, collaboration, and publicity efforts.
How to apply?
Please submit your complete application, including a copy of curriculum vitae, a publication list, 2-page research statement and career goals, and contacts of three referees (one of which must be from PhD thesis advisor), by email to: Associate Professor Wang Yi-Chen firstname.lastname@example.org. Please use email subject: Spatial Health and Human Dynamics RF application.
Deadline: 31 January 2022. Only shortlisted candidate will be notified.
Applicants should have the following:
- PhD in GIScience, remote sensing, geoinformatics, or related fields.
- Significant experience with spatiotemporal data modelling, urban spatial big data analytics, human movements, and statistical analysis.
- Strong experience with a broad range of GIS and remote sensing techniques and software packages.
- Strong programming skills. Experience with Python and R are required.
- Proficiency in English.
- At least two lead-authored international peer-reviewed publications.
- Knowledge with geospatial health; knowledge in remote sensing analysis would be an advantage.
- Experience with project management.
- Able to assume the duty from 1 April 2022.
Location: Block AS2-03-01
Organization: National University of Singapore
Department : Geography
Employee Referral Eligible:
Job requisition ID : 10586