Research Engineer, (Sensors & Automation for Metal Additive Manufacturing) SIMTech

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

A*STAR SIMTech's ATI group is seeking a Research Engineer to develop intelligent manufacturing platforms that fuse additive manufacturing, automation, sensing, and data analytics. You will work on machine vision, sensor systems, AI-driven decision support and experimental demonstrations.

Responsibilities span design of platforms, automation systems and data-driven manufacturing solutions across metal AM, hybrid processes, and autonomous production.

Qualifications

• Degree in Mechanical, Mechatronics, Electrical, Computer Engineering or related discipline.
• Strong interest in manufacturing technologies, automation and intelligent systems.
• Experience in robotics and automation.
• Experience in machine vision and image processing.
• Experience in embedded systems and electronics integration.
• Experience in machine learning and AI.
• Experience in sensor integration and data acquisition.
• Experience in additive manufacturing.
• Experience in manufacturing systems engineering.
• Programming in Python, C/C++, MATLAB.
• Experience with robotics frameworks, control systems or industrial automation tools advantageous.
• Familiarity with CAD and engineering simulation tools such as SolidWorks, Abaqus, COMSOL or ANSYS advantageous.
• Good communication and teamwork skills.
• Strong hands-on engineering aptitude across software, electronics and mechanical systems.

Responsibilities

• Design, develop and integrate advanced manufacturing systems incorporating additive manufacturing, automation and intelligent sensing technologies.
• Develop experimental manufacturing platforms, process-monitoring systems and technology demonstrators for industrial applications.
• Support development of next-generation manufacturing capabilities involving metal additive manufacturing, hybrid manufacturing and automated production systems.
• Translate engineering concepts into functional prototypes, demonstration systems and industrial solutions.
• Develop automation solutions for manufacturing operations such as machine tending, material handling, automated inspection and process monitoring.
• Integrate sensors, actuators, embedded electronics, controllers and industrial communication systems into manufacturing platforms.
• Support automation of manufacturing workflows and development of intelligent manufacturing cells.
• Participate in integration of industrial robots, collaborative robots and autonomous manufacturing systems.

Skills

Robotics and automation

Machine vision

Embedded systems

Machine learning

Sensor data acquisition

Additive manufacturing

Python

C/C++

MATLAB

Communication and teamwork

Education

Bachelor's degree in Mechanical/Mechatronics/Electrical/Computer Engineering or related

Tools

SolidWorks

Abaqus

COMSOL

ANSYS

Job description

Research Engineer

Intelligent Manufacturing Systems in Additive Manufacturing

About the Role

The Additive Technology Industrialisation (ATI) group withinA*STAR SIMTech develops next-generation manufacturing technologies that combineadditive manufacturing, sensing, automation, data analytics and AI to enhance manufacturing productivity, quality, traceability and sustainability.

We are seeking a motivated Research Engineer to developintelligent manufacturing platforms and automation solutions that integrate advanced manufacturing processes with machine vision, sensor systems anddata-driven decision support. This role offers opportunities to work acrossadditive manufacturing, industrial automation, autonomous systems and advanced manufacturing digitalisation.

Key Responsibilities

Manufacturing Systems and Platform Development

• Design, develop and integrate advanced manufacturing systems incorporating additive manufacturing, automation and intelligent sensing technologies.
• Develop experimental manufacturing platforms, process-monitoring systems and technology demonstrators for industrial applications.
• Support the development of next-generation manufacturing capabilities involving metal additive manufacturing, hybrid manufacturing and automated production systems.
• Translate engineering concepts into functional prototypes, demonstration systems and industrial solutions.

Automation and Controls

• Develop automation solutions for manufacturing operations such as machine tending, material handling, automated inspection and process monitoring.
• Integrate sensors, actuators, embedded electronics, controllers and industrial communication systems into manufacturing platforms.
• Support automation of manufacturing workflows and development of intelligent manufacturing cells.
• Participate in integration of industrial robots, collaborative robots and autonomous manufacturing systems.

Sensors, Machine Vision and AI

• Develop machine-vision and sensing solutions for manufacturing process monitoring and quality inspection.
• Implement data acquisition and sensor-fusion systems for manufacturing equipment and experimental testbeds.
• Apply AI, machine learning and data analytics techniques for process optimisation, anomaly detection and predictive monitoring.
• Support development of digital manufacturing and intelligent decision-support systems.

Experimental Research and Technology Development

• Design and conduct experiments to evaluate manufacturing processes, automation systems and sensing technologies.
• Analyse experimental and manufacturing data to generate engineering insights and improve system performance.
• Develop engineering models and simulations to support system design and optimisation.
• Support publication, intellectual property generation and technology translation activities.

Industry Collaboration

• Engage industry partners to understand manufacturing challenges and translate requirements into technical solutions.
• Contribute to collaborative R&D projects with local and international industry partners.
• Prepare technical reports, presentations and project deliverables.
• Participate in technology demonstration and capability development activities.

Requirements

• Degree in Mechanical Engineering, Mechatronics Engineering, Electrical Engineering, Computer Engineering or a related discipline.
• Strong interest in manufacturing technologies, automation and intelligent systems.
• Experience in one or more of the following:
• Robotics and automation
• Machine vision and image processing
• Embedded systems and electronics integration
• Machine learning and AI
• Sensor integration and data acquisition
• Additive manufacturing
• Manufacturing systems engineering
• Programming experience in Python, C/C++, MATLAB or similar languages.
• Experience with robotics frameworks, control systems, machine vision libraries or industrial automation tools will be advantageous.
• Familiarity with CAD and engineering simulation tools such as SolidWorks, Abaqus, COMSOL or ANSYS will be advantageous.
• Good communication and teamwork skills.
• Strong hands-on engineering aptitude and willingness to work across software, electronics and mechanical systems.