Research Fellow (AI for Materials and Process Development)
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Key details
- Location
- Singapore
- Work style
- Onsite
- Level
- Lead / Staff+
- Job type
- Full-time
- Function
- Science & Research
- Focus area
- other
- Posted
- 1w ago
Skills
About the role
NTI-NTU Corporate Laboratory is a collaboration between Nanofilm Technologies International Limited ("Nanofilm", "NTI") and Nanyang Technological University ("NTU"), supported by Singapore under RIE2025. The Laboratory brings together NTU's research capabilities and NTI's deep-technology expertise to advance research, innovation and technology commercialisation.
The NTI-NTU Corporate Laboratory is looking for a Research Fellow to conduct research on AI-enabled discovery and development of advanced functional materials and coating processes, with emphasis on data-driven modelling, uncertainty-aware learning and experimental validation.
Key Responsibilities:
- Develop AI-guided experimentation methods integrating data, predictive modelling, uncertainty and validation.
- Build structured materials/process datasets and robust scientific machine-learning models for sparse and noisy data.
- Design experiment-selection and decision strategies under multiple objectives and engineering constraints.
- Interpret model and experimental results to derive actionable, transferable materials and process insights.
- Collaborate with multidisciplinary academic-industry teams and communicate findings through reports and publications.
Requirements:
- PhD in Computer Science, AI, Data Science, Materials Science/Engineering, Chemical/Mechanical Engineering or a related field.
- Strong machine-learning/data-science or computational background with hands-on Python skills.
- Experience with predictive or uncertainty-aware modelling, AI-guided experimentation or related data-driven methods.
- Experience with materials, manufacturing or experimental process data is advantageous; coating or functional-materials knowledge is a plus.
- Proven research capability through publications, conference papers, patents, software or comparable outputs.
- Independent, analytical and proactive, with effective communication, teamwork and multidisciplinary collaboration skills.
We regret that only shortlisted candidates will be notified.
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