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An established industry player in the field of Civil Engineering is seeking a skilled professional to develop innovative machine learning algorithms aimed at optimizing tunnel boring machine (TBM) operations. This role involves hands-on technical work, including the development of practical tools and the publication of research findings in reputable journals. If you are passionate about sustainable engineering practices and have a strong background in programming and data analysis, this opportunity offers a chance to contribute to meaningful advancements in the field. Join a dynamic team dedicated to exploring the underground space sustainably and making a significant impact in engineering research.
The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. The School of Civil and Environmental Engineering (CEE) aims at exploring and utilizing the underground space in a sustainable manner.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU