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Singapore Institute of Technology
Just Landed
1 days ago
Postdoctoral Researcher in Urban Analytics, Geospatial Deep Learning, and High-Density Urban Design Singapore-ETH Centre in Singapore
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time, fixed-term 12-month contract. Remuneration will be commensurate with the candidate's qualifications and relevant experience. Benefits include 25 days of annual leave, one day of birthday leave, annual dental benefits, comprehensive healthcare insurance coverage, and a flexible hybrid work arrangement of up to two days per week from home.
Country
Singapore
University
Singapore Institute of Technology
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About this position
The Singapore-ETH Centre is seeking a Postdoctoral Researcher for the “Mind the density – Quantifying design scenarios that soften high-density living” project in Singapore. The multidisciplinary project brings together researchers from ETH Zurich’s Singapore-ETH Centre, the National University of Singapore, and Singapore Management University.
The research will operationalise human-centred urban analytics and cognition methods as evidence-backed decision support for high-density urban form and design interventions. The project will investigate how urban environments affect perception, cognition, behaviour, physiological responses, and subjective experience, with the goal of supporting practical planning and design decisions in Singapore.
The postdoctoral researcher will contribute to work package 1 by developing deep-learning models for geospatial data science and street-view imagery segmentation. The role also involves co-developing applications, features, datasets, and use cases using public street-view imagery and longitudinal cohort studies, as well as integrating analytical methods to quantify the effects of urban form and design interventions.
In addition, the researcher will support large-scale field data collection through online surveys and lab-based physiological studies. The position includes collaboration with researchers from multiple disciplines, government agencies, and project stakeholders, along with preparation of academic papers, conference and journal publications, funding proposals, and presentations to international audiences.
The project is led by Filip Biljecki and Zdravko Trivic, with the researcher working under the guidance of Associate Professor Filip Biljecki at the National University of Singapore and Assistant Professor Matias Quintana at Singapore Management University. The Singapore-ETH Centre provides a multicultural, interdisciplinary research environment focused on sustainable and liveable cities, resilient urban systems, and health-related research.
Funding details
Full-time, fixed-term 12-month contract. Remuneration will be commensurate with the candidate's qualifications and relevant experience. Benefits include 25 days of annual leave, one day of birthday leave, annual dental benefits, comprehensive healthcare insurance coverage, and a flexible hybrid work arrangement of up to two days per week from home.
What's required
Applicants must have a completed and conferred PhD degree; demonstrable experience with machine-learning tools and workflows such as Hugging Face, Keras, or Torch; experience deploying field data collection such as online surveys; research experience conducting end-to-end experiments and academic writing; experience writing Python programs and R scripts and using developer tools such as Git and AWS; professional working proficiency in English; strong programming, communication, collaboration, independence, and problem-solving abilities; and an interest in the research project. Beneficial attributes include a developed GitHub repository demonstrating previous or ongoing work and strong interest in spatial data science and urban-related topics. The ability to present work effectively, attention to detail, and meticulousness are desirable.
How to apply
Submit an online application through the application portal with a cover letter stating your motivation for the project, a tailored CV including a GitHub repository or website of previous projects, and optionally a writing sample. Applications by email or postal service will not be considered.
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