Senior Scientist (DMD Division/CPPS Group), SIMTech

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 75,000 - 110,000; Full time

Job summary

A leading research institute in Singapore is seeking a Machine Learning Scientist to lead R&D efforts utilizing AI/ML to address manufacturing challenges. The role involves conducting research, developing ML pipelines, and collaborating within a multidisciplinary team. Ideal candidates will possess a PhD and demonstrated experience in ML applications, particularly in production settings. Opportunities are available for innovative thinkers committed to advancing manufacturing technologies.

Qualifications

• PhD in a relevant field with a focus on ML/AI.
• Proven experience with ML in production environments.
• Proficient in time series analysis and quality monitoring systems.

Responsibilities

• Conduct research on ML/AI applications in smart manufacturing.
• Develop and deploy ML pipelines with MLOps practices.
• Ensure scalable and reproducible ML workflows using Docker.

Skills

Machine Learning

AI/ML

Time Series Analysis

Collaborative Research

Docker

Education

PhD in Computer Science, Engineering, or related field

Tools

Docker

PyTorch

TensorFlow

AWS

GCP

Azure

Job description

Overview

SIMTech, a research institute under A*STAR, advances high-value manufacturing technologies to boost Singapore’s industrial competitiveness. The Digital Manufacturing Division pioneers digital solutions for smart, reconfigurable manufacturing systems, driving innovation for Industry 5.0.

We seek a Machine Learning Scientist to lead and support R&D in applying AI/ML to manufacturing challenges, particularly in process monitoring, quality improvement, and reconfigurable systems.

Responsibilities

• Conduct research on ML/AI applications in smart manufacturing.
• Develop & deploy ML pipelines with MLOps practices.
• Work with time series data for predictive modeling.
• Apply advanced ML methods: few-shot, transfer, continual learning.
• Collaborate in a multidisciplinary team.
• Ensure scalable and reproducible ML workflows using Docker.

Requirements

• PhD in Computer Science, Engineering, or related field (focus on ML/AI).
• Proven experience with ML in production environments.
• Proficient in time series analysis & quality monitoring systems.
• Familiar with Docker and MLOps best practices.
• Knowledge of advanced ML techniques (few-shot, continual learning, etc.).

Preferred Skills

• Knowledge of predictive shopfloor analytics, especially predictive maintenance management and predictive quality management
• Background in smart/digital manufacturing.
• Strong Python skills; experience with ML frameworks (PyTorch/TensorFlow).
• Exposure to cloud platforms (AWS, GCP, Azure).