CareerPlanSign in

Research Fellow (Tunnelling & Excavation)

NTU Main Campus, Singapore💼 Full-time🗓 2026-08-17 → 2026-09-27

Core

Developing explainable machine learning algorithms and large language model-enhanced IoT systems for Tunnel Boring Machine (TBM) tunnelling and excavation.

Role type

Research Fellow (Tunnelling & Excavation)

Builds

ML algorithms and IoT systems for TBM operations

Domain

Civil Engineering / Underground Construction / Machine Learning

Deliverable

production ML models | research

Required skills

Python, MATLAB, explainable machine learning, large language models, IoT system development, grant writing, academic publishing

Preferred skills

proposal writing

Technologies

Python, MATLAB, IoT

Responsibilities

Develop explainable ML algorithms for TBM tunnelling and excavation; Develop LLM-enhanced IoT systems for TBM operations; Write and publish results in peer-reviewed journals; Assist in securing external funding through grant applications

Seniority

Senior, hands-on IC

Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.