NANYANG TECHNOLOGICAL UNIVERSITY is hiring for a Research Engineer I (Resilient Urbanisation & Natural Ecosystems) internship — a 12-month, on-site Software Engineering role based in NANYANG AVENUE, Singapore. It is an unpaid internship. It is open to university students, typically in Year 2–4. Applicants with experience in Conduct and Behaviour Management, Machine Learning, Research & Development, scientific discipline, and Budget Preparation are a strong fit.
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About this role
The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The School plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The School’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg/cee We are looking for a Research Engineer I to join a CITIES OF TOMORROW (CoT) R&D project for VERTICAL 5: CITY IN NATURE. The project plays a pivotal role in ensuring a resilient urban environment against climate change and contributes to NTU strategic research in Resilient Urbanisation & Natural Ecosystems that is aligned with Singapore’s national Research, Innovation and Enterprise 2025 plan. Key Responsibilities: • Assist in field and laboratory tests • Develop test protocols • Compile test data and maintain database • Conduct analysis and evaluation • Assist to prepare budgets, reports and papers Job Requirements: • Bachelor’s degree in relevant discipline or related field • Ability to work both indoors and outdoors • Good written and oral communication skills for report writing • Knowledge of software like Python and 3D modelling software will be an advantage. • Class 3 driving license (Singapore) will be an advantage. We regret to inform that only shortlisted candidates will be notified.
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