- Location
- NTU Main Campus, Singapore
- Type
- Full-time
- Department
- Education
- Experience
- 2+ years
- Education
- PhD
- Source
- Workday
Description
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.
Key Responsibilities:
Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation
Developing large language model enhanced IoT system for TBM tunnelling and excavation
Writing and publication of results in peer-reviewed journals
Assist in securing external funding through grant applications and proposals
Job Requirements:
PhD in Civil Engineering or related field
At least 2 years of relevant experience in technical hands-on experience for TBM tunneling and excavation
Excellent programming skills, such as Python, MATLAB, or other competent languages.
A good record of publications in reputable peer-reviewed journals or conferences
Proficiency in written and verbal communication
Previous experience in proposal writing is a plus
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU