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Education & Training 🏢 Full Time ⭐️ Terverifikasi

Research Assistant (Data Science & Geodemographic Projection) - NUS Cities

National University of Singapore
National University Of Singapore, Central Region
Estimasi Gaji
SGD 2.500 – SGD 3.500
Live Update
29 April 2026
Batas Akhir
29 Apr 2027

Deskripsi Pekerjaan

Join the Cities Foresight Lab (CFL) at NUS Cities as a Research Assistant specializing in Data Science and Geodemographic Projection. This exciting opportunity allows you to contribute to cutting-edge research that shapes the future of urban development in Singapore and beyond. As part of a dynamic team, you'll work on projects that analyze complex urban data, develop predictive models, and generate actionable insights for policymakers and urban planners.

The ideal candidate will have a strong background in data science, statistics, and geographic information systems, with a passion for applying these skills to real-world urban challenges. You'll collaborate with leading researchers and industry experts, gaining invaluable experience in research methodologies and data analysis techniques.

This position offers a unique opportunity to make a meaningful impact on urban planning and policy development while honing your technical skills in data science and geodemographic analysis. If you're passionate about data-driven solutions for urban challenges, we encourage you to apply.

Tanggung Jawab

  • Analyze and process large datasets related to urban demographics, land use, and infrastructure
  • Develop and implement geodemographic projection models using statistical and machine learning techniques
  • Create data visualizations and reports to communicate research findings to diverse stakeholders
  • Assist in designing research methodologies and data collection strategies
  • Collaborate with multidisciplinary teams to integrate data science insights with urban planning
  • Stay current with emerging trends and technologies in data science and urban analytics
  • Contribute to academic publications and presentations of research findings

Kualifikasi

  • Bachelor's degree in Data Science, Statistics, Geography, Urban Planning, or related field
  • Strong programming skills in Python, R, or similar data analysis languages
  • Experience with GIS software and spatial data analysis techniques
  • Familiarity with statistical modeling and machine learning algorithms
  • Excellent analytical and problem-solving abilities
  • Strong communication skills, both written and verbal
  • Ability to work independently and collaboratively in a team environment
  • Previous research experience is a plus

Keahlian yang Dibutuhkan

Data Science Geodemographic Analysis Statistical Modeling Machine Learning GIS Python R Urban Planning Data Visualization Research Methodology

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