About the role
Research Associate (Engineering/Electrical & Material) is a active engineering role at ntu in NTU Main Campus, Singapore. Open the role to review the official description and apply on the company site.
CompanyOnsite
Key Responsibilities
- Develop and apply time-series forecasting methods for semiconductor equipment health monitoring.
- Analyze equipment degradation data to support predictive maintenance and reliability studies.
- Implement and compare statistical, machine learning, and deep learning forecasting models.
- Perform data preprocessing, signal smoothing, and noise analysis on real-world equipment data.
- Evaluate model performance using appropriate forecasting metrics and visual analysis.
- Interpret results to determine when forecasting is meaningful and when data limitations apply.
- Document findings and communicate insights to researchers and engineering teams.
Requirements
- Masters in Materials Science, Electrical Electronic Engineering, Physics, or a closely related field.
- Strong interest or experience in data analysis and time-series modeling.
- Proficiency in Python for data processing and model development.
- Basic knowledge of machine learning or deep learning techniques.
- Ability to work with noisy, real-world datasets and interpret results critically.
- Good analytical thinking and clear technical communication skills.
- Postgraduate degree or experience in semiconductor-related research is an advantage.
- We regret that only shortlisted candidates will be notified.
- Hiring Institution: NTU