Research Fellow (Advanced construction and sustainability)
More than 6 months ago
Kent, Washington, United States
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Job Description
The National University of Singapore is seeking a Research Fellow in advanced construction and sustainability. The role involves conducting research in life-cycle carbon analysis, 3D printed structures, and mentoring PhD students. Candidates should possess a PhD in civil engineering, have strong research backgrounds, and ideally knowledge in metal 3D printing and AI. This is a fixed-term position located at the Kent Ridge Campus.
Research Fellow (Advanced construction and sustainability)
Posted on 21/01/2026 | Location: Kent Ridge Campus | Employee Category: Research Staff | Department: Civil and Environmental Engineering | College of Design and Engineering
The National University of Singapore (NUS) invites applications for a postdoctoral Research Fellow position in advanced construction and sustainability. The successful applicant will work under the supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the strategic adoption of metal additive manufacturing in construction for decarbonisation.
Job Responsibilities
Conduct novel and impactful research in the areas of life-cycle carbon and cost analysis, 3D printed hybrid structural systems, and construction sustainability.
Disseminate research findings through high-quality journal papers and presentations at international conferences.
Support the supervision and mentoring of PhD students.
Contribute to teaching, funding applications, and outreach activities.
Job Requirements
Possess a PhD in civil engineering.
Demonstrate a strong background in civil engineering research and publications.
Have expertise in structural design and life-cycle carbon and cost analysis.
Have excellent communication and collaboration skills.
Preferably have knowledge of metal 3D printing and hybrid construction.
Preferably have knowledge and skills in AI.
Open to fixed-term contract.
Employee Referral Eligible: No | Job Requisition ID: 31524
Apply now
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