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The company, the Department of Geography at the National University of Singapore, is seeking a Research Assistant to support social network analysis projects in economic geography within the GeoSpatialX lab. The role involves contributing to research activities related to geospatial and economic data analysis. Interested applicants are advised to apply via the NUS Career Portal; the position offers a salary of SGD 6,000. Only shortlisted candidates will be notified.
This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.
[This job id 17389 first appeared in Job-Q.com on 30 Jun 2026]
Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Department-of-Geography%29/30981-en_GB/
We regret that only shortlisted candidates will be notified.
Our GeoSpatialX lab (https://blog.nus.edu.sg/geospatialx/), based in the Geography Department at National University of Singapore, has conducted a series of social network analysis in economic geography. We are seeking to recruit an excellent Research Assistant on using social network and graph neural network models to better understand the impacts of global shocks on talent mobility in Singapore with Linkedin data.
You will have a Master or equivalent professional qualifications and relevant research experience in a geography/economics/statistical/mathematical/quantitative discipline. Strong experiences in social networks, complex system, and computer programming skills would be advantageous. The project work will be highly interdisciplinary and as such there is some flexibility to accommodate expertise from a range of cognate disciplinary backgrounds (e.g. geography, economics, statistics, computer science, data science etc).
Informal enquiries may be made to Prof. Luo Wei (geowl@nus.edu.sg). Please include a covering letter, full CV and 2 letters of recommendation in your application.
Start date: 1 Jan 2026 or as soon as possible thereafter
This is a 10 month contract which can be extended according to performance.
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