R&D Expert in Building Rule-Based System and Data Integration

Kamdin Safety Intelligent Limited; Hong Kong; On-site; HKD 90,000 - 130,000; Full time

Job summary

Kamdin Safety Intelligent Limited in Hong Kong is seeking an R&D Expert to translate safety regulations into executable rule-based models and to lead semantic integration of multi-source spatial data.

You will develop a rule engine, build a unified data infrastructure, and research offline path pre-planning; a Master's degree is required and strong collaboration skills are essential.

Qualifications

• Master's degree or higher in related disciplines.
• Experience with rule engines or knowledge representation.
• Experience in cross-system data integration or standardisation preferred.
• Excellent analytical and collaboration skills.

Responsibilities

• Transform safety regulations into executable rule-based logic and libraries.
• Lead semantic integration of multi-source spatial data.
• Develop a rule engine supporting dynamic rule matching and compliance checks.
• Create data format conversion tools and support path pre-planning research.
• Communicate complex concepts across disciplines and teams.

Skills

Analytical thinking

System modeling

Independent research

Education

Master's degree in Building simulation / Systems Engineering / Computer Simulation / Technology Policy / Construction Management

Tools

Rule engines

Knowledge representation

Job description

R&D Expert in Building Rule-Based System and Data Integration

This is a technical R&D role. You will be responsible for transforming built environment safety regulations into executable, structured rule systems, and leading the semantic integration and standardisation of multi-source heterogeneous spatial data, building a unified data infrastructure that supports intelligent analysis and future expansion.

Safety Regulation Rule-Based Modeling: Lead the organisation and structuring of relevant safety regulations and industry codes, transforming them into automatically executable rule-based logic and rule libraries.

Rule Engine Development: Develop a rule engine supporting dynamic rule matching and compliance checking, providing automated decision support for upper-layer applications.

Data Format Conversion and Path Pre-planning: Develop spatial data format conversion tools and research offline path pre-planning functions based on the unified model.

Hold a Master's degree or higher in Building simulation, Systems Engineering, Computer Simulation, Technology Policy, or Contruction Management related disciplines. Prior research experience in cross-system data integration or standardisation, and technology policy is preferred.

Possess a solid theoretical foundation and practical experience in rule engines, expert systems, or knowledge representation and reasoning.

Possess experience in the design and management of structured data formats. Candidates with experience in spatial data format conversion are preferred.

Candidates with knowledge and practical experience in path planning algorithms are preferred.

Excellent logical thinking and system modeling abilities, outstanding interdisciplinary communication and collaboration skills, a strong interest in technical R&D, and independent research and study ability.

Your application will include the following questions:

• Which of the following statements best describes your right to work in Hong Kong?
• What's your expected monthly basic salary?

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