Research Associate (Engineering, Electrical & Materials)

About the role

The NTI-NTU Corporate Laboratory, a collaboration between Nanofilm Technologies International Limited (NTI), Nanyang Technological University (NTU) and supported by Singapore under RIE2030, is hiring a Research Associate. The role focuses on analysing equipment degradation time-series data and developing forecasting workflows using statistical, machine learning and deep learning models.

Key responsibilities

• Develop and apply time-series forecasting methods for semiconductor equipment health monitoring.
• Analyse 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 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.

Required profile

• Masters degree in Materials Science, Electrical/Electronic Engineering, Physics or a closely related field.
• Strong interest or experience in data analysis and time-series modelling.
• Postgraduate degree or experience in semiconductor-related research is an advantage.

Required skills

• 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.