Research Associate - ML/Vision for Metal 3D Printing

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading research institution in Singapore is seeking a highly motivated Research Associate to advance next-generation metal multimaterial additive manufacturing. The candidate will focus on developing a novel laser powder bed fusion system, emphasizing automation and control. Responsibilities include conducting data acquisition for model training, deploying monitoring systems, and preparing technical reports. A Master’s degree in a related field and proficiency in Python and C/C++ are essential. Join a multidisciplinary team pushing the boundaries of additive manufacturing innovation.

Qualifications

• Master’s degree in Electrical/Electronics Engineering or Computer Science required.
• Strong foundation in software engineering for intelligent systems.
• Experience in computer vision-based applications is essential.
• Familiarity with machine learning development lifecycle is necessary.
• Proficiency in Python and C/C++ with deep learning frameworks.

Responsibilities

• Conduct data acquisition campaigns for model training and validation.
• Develop data-driven computer vision and machine learning models.
• Deploy real-time monitoring and adaptive control systems.
• Conduct experimental studies and performance evaluations.
• Prepare scientific manuscripts, presentations, and technical reports.

Skills

Machine learning

Computer vision

Embedded systems

Software engineering

Data preprocessing

Technical communication

Education

Master’s degree in Electrical/Electronics Engineering or Computer Science

Tools

Python

C/C++

TensorFlow

PyTorch

Job description

A leading research institution in Singapore is seeking a highly motivated Research Associate to advance next-generation metal multimaterial additive manufacturing. The candidate will focus on developing a novel laser powder bed fusion system, emphasizing automation and control. Responsibilities include conducting data acquisition for model training, deploying monitoring systems, and preparing technical reports. A Master’s degree in a related field and proficiency in Python and C/C++ are essential. Join a multidisciplinary team pushing the boundaries of additive manufacturing innovation.