A Research Fellow position is available in the School of Electrical & Electronic Engineering.
Conduct research in failure statistical models and data analytics methods to predict failure rates and remaining useful life of equipment (transformers, switchgears and cables), and/or develop failure mode effects and criticality analysis (FMECA) procedures and reports for faults analyzed, and/or develop optimization methods for optimizing fault mitigation measures and life cycle cost
Write research results into publication manuscripts and project reports
Contribute to project reporting and demonstration
Guide research engineers on software module development and testing
PhD in Electrical Engineering, Mathematics, Statistics, Computer Science and Engineering, or related disciplines
Expert knowledge and project/research experience in statistical modeling and survival analysis, or AI and machine learning, or power system modeling and failure analysis
Expert knowledge in optimization and programming would be a plus
We regret only shortlisted candidates will be notified.
Hiring Institution: NTU
Research Fellow (Electrical Engineering/Mathematics/Statistics/Computer Science and Engineering)