A Research Associate position is available in the School of Civil and Environmental Engineering, Nanyang Technological University, Singapore. We are seeking a smart, highly motivated, and open-minded research fellow. The successful candidate will work with Dr. Kim Jinwoo, Assistant Professor at the School of CEE, NTU ( ), to design, implement, and lead research in the broad area of construction digitalisation and robotics. This position will be responsible for, but not limited to, conducting one or more research projects on AI applications for construction management, while working on research proposals and publishing research papers in top-tier journals and conferences.
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Work with Dr. Kim Jinwoo, Assistant Professor at the School of CEE, NTU, to design, conduct, and lead research in the broad area of construction digitalisation and robotics.
Design, develop and re-envision aspects of construction AI/digitalisation/robotics
Conduct theoretical and practical research on monitoring, modelling and predicting human psychophysiological responses and behaviours; and measuring, quantifying, and analysing the complex relationships between human factors and construction project performances
Work on research grant proposals with Prof. Jinwoo Kim
Publish research findings in top-tier journals and conferences
Mentor MS students and supervise undergraduate students
Collaborate with internal and external academic groups, such as other NTU/international research groups, industry partners, etc.
Proactively contribute to all aspects of research, teaching, and service
Support course/curriculum development efforts
Job Requirements:
A Master\xe2\x80\x99s degree in Engineering (Civil, Construction, Industrial, Electrical & Electronic, Mechanical, etc.), Statistics, Computer Science, or a related field
Strong interest in construction digitalisation and robotics
Demonstrated ability to lead, execute and manage research projects independently
Excellent computer programming skills for one or more of the followings: Python, C/C++, Java, and MATLAB
Proficiency in simulation techniques, such as System Dynamics, Discrete Event Simulation, and Agent-Based Modelling, is a plus
A strong publication record in top-tier journals and conferences
Fluency in academic and technical communication (oral and written)
Solid foundation and experience in one or more of the following areas: Construction AI/Digitalisation/Robotics, Human Behaviours, Computer Vision, Wearable Sensing, Deep Reinforcement Learning, Generative AI, Building Information Modelling, and Complex Systems Modelling
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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