Research Scientist – AI-Driven Remanufacturing Processes

Agency for Science, Technology and Research (A*STAR); Singapore; On-site; SGD 70,000 - 95,000; Full time

Job summary

A leading research agency in Singapore is seeking a skilled Research Engineer/Scientist focused on developing advanced process monitoring and control capabilities. Candidates should possess a strong background in sensor integration, data fusion, and AI-driven process optimization, along with relevant R&D experience. Responsibilities include engineering design, quality evaluation, and applying machine learning techniques for process improvements. The role offers ample opportunities for professional growth through involvement in cutting-edge industry projects.

Qualifications

• At least 2 years of relevant experience in an R&D or engineering role.
• Hands-on experience with developing sensor systems or control systems is highly valued.
• Familiarity with real-time computing environments is a plus.
• Experience with hardware integration and sensor data acquisition required.

Responsibilities

• Develop advanced process monitoring and control capabilities.
• Implement in-situ monitoring using various sensors.
• Develop algorithms to fuse data from multiple sensors.
• Apply machine learning techniques for defect detection.
• Plan and execute experiments on the DED machine.

Skills

Sensor integration

Data fusion

AI-driven process optimization

Programming in Python

Programming in MATLAB

C/C++ programming

Problem-solving

Good communication skills

Education

Bachelor/Master/PhD in Computer Science, Electrical/Mechanical Engineering, Industrial Automation, or related field

Tools

Python

MATLAB

C/C++

PLC programming

Linux

ROS-Industrial

Job description

A leading research agency in Singapore is seeking a skilled Research Engineer/Scientist focused on developing advanced process monitoring and control capabilities. Candidates should possess a strong background in sensor integration, data fusion, and AI-driven process optimization, along with relevant R&D experience. Responsibilities include engineering design, quality evaluation, and applying machine learning techniques for process improvements. The role offers ample opportunities for professional growth through involvement in cutting-edge industry projects.