Research Associate (Engineering/Electrical & Material)

Nanyang Technological University Singapore; Singapore; On-site; SGD 45,000 - 70,000; Full time

Job summary

Nanyang Technological University (NTU)–NTI-NTU Corporate Laboratory is hiring a Research Associate to analyze equipment degradation time-series data and develop forecasting workflows using statistical, ML, and DL models. You will work with researchers and engineers to enable predictive maintenance in semiconductor operations.

Ideal candidates hold a strong background in materials science, electrical engineering, or physics, and have experience with Python-based data processing and time-series

Qualifications

• Masters in a closely related field with strong data analysis focus.
• Proficiency in Python for data processing and model development.
• Experience with time-series forecasting and semiconductor data is a plus.

Responsibilities

• Develop and apply time-series forecasting methods for equipment health monitoring.
• Analyze degradation data to support predictive maintenance and reliability studies.
• Implement and compare statistical, machine learning, and deep learning forecasting models.
• Preprocess data, perform signal smoothing, and analyze noise in real-world data.
• Evaluate model performance using forecasting metrics and visual analysis.
• Interpret results to determine forecasting usefulness given data limitations.
• Document findings and communicate insights to researchers and engineering teams.

Skills

Python

Time-series modeling

Data analysis

Education

Master's degree in Materials Science

Master's degree in Electrical/Electronic Engineering

Master's degree in Physics

Job description

NTI-NTU Corporate Laboratory is a collaboration between Nanofilm Technologies International Limited ("Nanofilm", "NTI"), Nanyang Technological University ("NTU") and supported by Singapore under RIE2030. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s RIE2030 handbook – which emphasises the nation’s commitment to research and innovation, aiming to drive economic growth and address national challenges.

The Nanyang Technological University NTI-NTU Corporate Laboratory is seeking to hire a Research Associate. The selected candidate will focuses on analyzing 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.
• 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.

Job 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