Research Fellow (Industrial AI for Manufacturing Process Optimization)

Nanyang Technological University; Singapore; On-site; SGD 95,000 - 140,000; Full time

Job summary

NTU's NTI-NTU Corporate Laboratory is seeking a Research Fellow to advance industrial AI for adaptive manufacturing, focusing on data-driven approaches that integrate production data, predictive models, and constrained optimization to improve process consistency amid drift and variability.

You will develop robust predictive and decision-support methods, build reproducible data pipelines, and translate research into prototypes, technical reports and publications.

Qualifications

• PhD in CS/AI/data science or related engineering/materials field.
• Strong ML background with hands-on Python and ML frameworks.
• Experience with time-series/sequence modelling, state estimation, constrained or Bayesian optimization, uncertainty-aware modelling, transfer learning or adaptive experimentation.
• Experience with heterogeneous engineering or manufacturing data and rigorous model validation.
• Manufacturing-process knowledge is advantageous; coating/thin-film or run-to-run process knowledge is a plus.
• Strong research record and effective multidisciplinary communication skills.

Responsibilities

• Develop ML models for process prediction, state estimation, adaptive optimisation and closed-loop decision support.
• Build reproducible data pipelines for heterogeneous data sources.
• Develop robust methods for process drift and data quality; apply uncertainty-aware modelling and transfer learning as needed.
• Design constrained optimization and sequential decision strategies within engineering limits.
• Validate methods and translate research into prototypes, reports and publications.

Skills

Machine learning

Python

ML frameworks

Time-series modelling

State estimation

Bayesian optimization

Transfer learning

Adaptive experimentation

Data validation

Education

PhD in Computer Science/AI/Data Science

Job description

The NTI-NTU Corporate Laboratory is looking for a Research Fellow to conduct research in industrial AI for adaptive manufacturing process optimization and decision support. The role will develop and validate data-driven methods that combine production data, predictive and state-estimation models, uncertainty-aware learning and constrained optimization to improve process consistency under process drift and equipment variability.

Key Responsibilities

• Develop machine-learning models for process prediction, state estimation, adaptive optimisation and closed-loop decision support.
• Build structured and reproducible data pipelines for heterogeneous process, sensor, equipment, production and quality data.
• Develop robust methods for process drift, sparse/noisy data and equipment variability, including uncertainty-aware modelling and transfer learning where appropriate.
• Design constrained optimization and sequential decision strategies under engineering limits and human review.
• Validate methods rigorously and translate research outcomes into prototypes, technical reports and publications.

Requirements

• PhD in Computer Science/AI/Data Science or a relevant engineering or materials discipline.
• Strong background in machine learning/data science, with hands-on Python and experience with modern ML frameworks.
• Experience with one or more of time-series/sequence modelling, state estimation, constrained or Bayesian optimization, uncertainty-aware modelling, transfer learning or adaptive experimentation is highly desirable.
• Experience with heterogeneous engineering or manufacturing data and rigorous model validation.Manufacturing-process experience is advantageous; coating/thin-film or run-to-run process knowledge is a plus.
• Strong research record, independent problem-solving ability and effective multidisciplinary communication skills.

We regret that only shortlisted candidates will be notified.

Hiring Institution

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes - the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering - and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world's top universities by QS, NTU has also been named the world's top young university for the past seven years. The University's main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore's healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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