Research Engineer - Multimodal AI for Fire Safety

SINGAPORE INSTITUTE OF TECHNOLOGY; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A technology research institute in Singapore seeks a candidate for a research role focused on developing multimodal AI systems for fire detection and safety. The successful applicant will manage research projects, design AI algorithms for various sensors, and ensure compliance with safety regulations. A Bachelor's degree in a relevant field, knowledge of computer vision and machine learning, plus proficiency in Python are essential. Relevant experience in research or internships is desirable, supporting an innovative approach to safety technology.

Qualifications

• Bachelor’s degree in Electrical, Electronics Engineering, Computer Engineering, or closely related discipline.
• Working knowledge of computer vision and deep learning concepts.
• Hands-on experience using Python and at least one deep learning framework.
• Basic experience handling and processing sensor data.
• Familiarity with Linux-based development environments.
• Ability to independently implement, test, and document applied research solutions.

Responsibilities

• Participate in and manage the research project with the PI and the team.
• Develop and deploy multimodal AI algorithms for detection systems.
• Design models for detecting personnel and hazardous situations.
• Implement algorithms for environment perception and path planning.
• Build predictive models for fire intensity forecasting.
• Carry out Risk Assessment and ensure compliance with regulations.
• Coordinate procurement and liaise with vendors.

Skills

Signal processing

Machine learning

Computer vision

Deep learning

Python

Data analysis

Education

Bachelor's degree in relevant field

Tools

PyTorch

TensorFlow

Linux

Job description

A technology research institute in Singapore seeks a candidate for a research role focused on developing multimodal AI systems for fire detection and safety. The successful applicant will manage research projects, design AI algorithms for various sensors, and ensure compliance with safety regulations. A Bachelor's degree in a relevant field, knowledge of computer vision and machine learning, plus proficiency in Python are essential. Relevant experience in research or internships is desirable, supporting an innovative approach to safety technology.