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

Research Engineer

Intelligent Manufacturing Systems in AdditiveManufacturing

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.