Q: What qualifications are required for this Research Assistant position?

Candidates need a Master’s degree in civil engineering , mechanical engineering , electrical engineering , computer engineering , or related field. Key experience includes 3D scene reconstruction , deep learning , and semantic segmentation for built environments. Peer-reviewed publications are essential. See tips on excelling as a research assistant .

Q: What is the research focus of this Built Environment project?

The project integrates indoor sensing data and outdoor geospatial information for semantic mapping , robot trajectory optimisation , and navigation networks in complex built environments, emphasizing 3D spatial analysis and digital representations . Explore research assistant jobs in similar areas.

Q: What skills and technical experience are preferred?

Programming skills and Linux familiarity are required, with preference for ML/DL experience . Knowledge of navigation frameworks and path optimization algorithms is key. Proficiency in written and spoken English is mandatory for research execution and reporting.

Q: What are the application details and deadline?

Applications open from 25 March 2026 , with deadline on 27 May 2026 . Apply via the official link in the posting. Review how to thrive in research roles for success tips. Location: Kent Ridge Campus .

Q: What responsibilities will the Research Assistant handle?

Support research planning and execution , conduct experiments, analyze results , and prepare reports and papers . Focus on 3D spatial analysis and navigation modelling . Check research jobs for related opportunities.

Q: Is this position suitable for candidates with ML/DL background?

Yes, ML/DL experience is preferred, especially in semantic segmentation for built environments. Combine with robot navigation knowledge for best fit. Learn more via research assistant advice .

Question 1

What qualifications are required for this Research Assistant position?

Accepted Answer

Candidates need a Master’s degree in civil engineering, mechanical engineering, electrical engineering, computer engineering, or related field. Key experience includes 3D scene reconstruction, deep learning, and semantic segmentation for built environments. Peer-reviewed publications are essential. See tips on excelling as a research assistant.

Question 2

What is the research focus of this Built Environment project?

Accepted Answer

The project integrates indoor sensing data and outdoor geospatial information for semantic mapping, robot trajectory optimisation, and navigation networks in complex built environments, emphasizing 3D spatial analysis and digital representations. Explore research assistant jobs in similar areas.

Question 3

What skills and technical experience are preferred?

Accepted Answer

Programming skills and Linux familiarity are required, with preference for ML/DL experience. Knowledge of navigation frameworks and path optimization algorithms is key. Proficiency in written and spoken English is mandatory for research execution and reporting.

Question 4

What are the application details and deadline?

Accepted Answer

Applications open from 25 March 2026, with deadline on 27 May 2026. Apply via the official link in the posting. Review how to thrive in research roles for success tips. Location: Kent Ridge Campus.

Question 5

What responsibilities will the Research Assistant handle?

Accepted Answer

Support research planning and execution, conduct experiments, analyze results, and prepare reports and papers. Focus on 3D spatial analysis and navigation modelling. Check research jobs for related opportunities.

Question 6

Is this position suitable for candidates with ML/DL background?

Accepted Answer

Yes, ML/DL experience is preferred, especially in semantic segmentation for built environments. Combine with robot navigation knowledge for best fit. Learn more via research assistant advice.

Research Assistant (Department of the Built Environment)

National University of Singapore (NUS)

Kent Ridge Campus

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