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Fully Funded PhD Positions in Urban Data Science, Urban AI, and GeoAI at NUS National University of Singapore in Singapore
Degree Level
PhD
Field of study
Computer Science
Funding
Two fully funded PhD positions funded for four years through the NUS Research Scholarship, with start dates in August 2027 or January 2028.
Deadline
Nov 29, 2026
Country
Singapore
University
National University of Singapore

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About this position
Two fully funded PhD positions are available in urban data science at the NUS Urban Analytics Lab, National University of Singapore. The positions are supervised by Prof. Filip Biljecki and are aimed at students interested in urban analytics, urban informatics, GeoAI, urban AI, and data-driven research on cities.
The two research directions are:
1) Sensing urban changes and dynamics with emerging urban data — using sources such as street-level imagery to detect subtle changes in cities as they happen, and to study their causes and effects.
2) Trustworthy Urban AI: quality, bias and uncertainty — measuring the quality, bias, and uncertainty of urban data and AI models, often without ground truth, and making them more reliable.
The post states that each position covers a broad direction, within which the successful candidate will develop an individual focused project. Funding is provided for four years through the NUS Research Scholarship, with possible start dates in August 2027 or January 2028.
Applicants should be motivated by research at the intersection of cities, data, and AI. The post does not list detailed eligibility criteria, but it invites interested candidates to reach out with questions about life in the lab.
Application deadline: 29 November 2026.
How to apply: Review the details at the application link and submit your application before the deadline. You may also contact the poster for informal questions about the lab and fit.
Funding details
Two fully funded PhD positions funded for four years through the NUS Research Scholarship, with start dates in August 2027 or January 2028.
What's required
Applicants should be interested in cities, data, and AI, and be prepared to develop an independent focused project within one of the two broad research directions. The post does not specify degree prerequisites beyond the PhD level, but it implies strong fit for urban data science, urban analytics, GeoAI, and trustworthy urban AI research.
How to apply
Read the details and application instructions at the provided link, then submit your application by 29 November 2026. Interested candidates may also contact the poster with questions about the lab.
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