National University of Singapore (NUS) Jobs

National University of Singapore (NUS)

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Kent Ridge Campus

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"Research Fellow (Design Technology)"

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Research Fellow (Design Technology)

Research Fellow

2026-02-22

Location

Kent Ridge Campus, Singapore

National University of Singapore

Type

Full-time (1-year, renewable up to 2 years)

Start Date

End of 2025 or early 2026

Required Qualifications

PhD in environmental science, GIS, computer science or related
Background in design technology
Proficient in Python, MATLAB, R
Spatial analysis experience
Large-scale data experience
Strong publication record
Excellent writing/communication skills

Research Areas

Generative AI for urban landscape planning
Design technology
Interdisciplinary urban design optimization
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Research Fellow (Design Technology)

Job Description

We are looking for a full-time research fellow to work on an urban landscape optimization project. Design technology is not a novel concept; it has been widely used to address various design challenges, such as visualization and performance assessment. Although it greatly helps designers gain a more profound insight into design, it should not be just a visualization or assessment tool but an essential component of design thinking processes. This project aims to use design technology to automate the design process and potentially complement experts' designs, in order to improve the rationale and efficiency of our design.

The research fellow is expected to join at the end of 2025 or early 2026. The position is a one-year appointment and might be renewed up to 2 years based on the performance and career plan of the hired person.

Responsibility

  • Develop and implement generative AI models for urban landscape planning and design
  • Interpret and analyse data
  • Collaborate with other team members to conduct interdisciplinary research
  • Publish research findings in peer-reviewed journals and present at conferences
  • Collaborate with the PI to develop research proposals and grant applications

Qualifications

  • A PhD degree in environmental science, GIS, computer science or other relevant disciplines
  • Good background knowledge and overall interest in design technology
  • Proficient in statistical and programming skills, like Python, MATLAB and R
  • Experience in spatial analysis
  • Experience in using large-scale data sets
  • Have strong publication records
  • Excellent scientific writing and communication skills

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department: Architecture

Employee Referral Eligible: No

Job requisition ID: 31222

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Frequently Asked Questions

🎓What qualifications are required for the Research Fellow position?

Candidates must hold a PhD in environmental science, GIS, computer science or related fields, with strong interest in design technology. Proficiency in Python, MATLAB, and R is essential, along with experience in spatial analysis and handling large-scale datasets. A strong publication record and excellent scientific writing/communication skills are required. See academic CV tips and postdoc opportunities.

🔬What are the main responsibilities?

Develop and implement generative AI models for urban landscape planning and design. Interpret and analyze data, collaborate on interdisciplinary research, publish in peer-reviewed journals, present at conferences, and assist the PI with research proposals and grant applications. Explore related roles at research jobs.

📅When does the position start and how long is it?

Expected to join at the end of 2025 or early 2026. It's a one-year appointment, potentially renewable up to 2 years based on performance and career plan. Check postdoc success tips.

🌍Is visa sponsorship available?

Visa sponsorship is not mentioned in the posting. Candidates should confirm eligibility for work in Singapore. Review research assistant jobs for similar international roles.

📝How to apply for this Research Fellow role?

Apply via the job requisition ID 31222 through the provided link. Prepare your CV highlighting PhD, publications, and programming skills. Employee referral not eligible. Visit research tips and research jobs.

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