A
Agency for Science, Technology and Research (A*STAR)via Indeed
Senior Research Scientist (DMD Division/CPPS Group), SIMTech
SGPosted 4mo ago
ResearchSeniorFull-time#python#pytorch#tensorflow#docker#aws#gcp#azure
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against Senior Research Scientist (DMD Division/CPPS Group), SIMTech at Agency for Science, Technology and Research (A*STAR). Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
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.
Key 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.
Familiarity with Industry 5.0 and reconfigurable systems.
Strong Python skills; experience with ML frameworks (PyTorch/TensorFlow).
Exposure to cloud platforms (AWS, GCP, Azure).
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
Type of Employment : Full-Time
Minimum Experience : 5 Years
Work Location : 3 Cleantech Loop
Key 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.
Familiarity with Industry 5.0 and reconfigurable systems.
Strong Python skills; experience with ML frameworks (PyTorch/TensorFlow).
Exposure to cloud platforms (AWS, GCP, Azure).
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
Type of Employment : Full-Time
Minimum Experience : 5 Years
Work Location : 3 Cleantech Loop
Ready to apply?
This job is active. Apply now to get in early.