Engineering Research Manager (Construction)

Roles & Responsibilities

· Lead and Manage Research Teams: Direct and mentor a team of engineers and researchers focused on innovative construction technologies and solutions.

· Develop Research Plans: Create and execute research and development plans and roadmaps, aligning with organisational goals.

· Identify and Evaluate Technologies: Stay abreast of industry trends and emerging technologies to drive innovation and competitiveness.

· Technical Leadership: Provide technical guidance and direction to team members, ensuring high-quality outputs to improve company’s digital ecosystem, software and technologies.

· Cross-Functional Collaboration: Partner with other departments and stakeholders to ensure successful project execution.

· Communicate Findings: Present research findings and recommendations to internal and external audiences.

· Manage External Relationships: Oversee relationships with vendors, contractors, and external partners.

· Project Management: Plan, implement, and manage research projects, including coordinating development of project scope, goals, work plans, timelines, and strategies.

· Design and Implement Prototypes: Design and implement experimental prototypes to demonstrate the feasibility and effectiveness of new methodologies.

· Translate Research into Applications: Collaborate with cross-functional teams to translate research findings into practical applications for projects and corporate functions.

· Building prototypes, products, and systems for testing.

· Design testing procedures and coordinate to identify problems and solutions.

· Collaborating on standards for procedures and component requirements.

Qualifications and requirements

· Minimum PhD in Computer Science, Computer Engineering, Data Science or a related field.

· 3-5 years’ work experience in computer engineering/science research in a leadership role; relevance to construction industry will be an advantage.

· Strong understanding of deep learning, neural networks, and techniques for 3D object detection and tracking.

· Familiarity with AI frameworks and cloud platforms.

· Excellent communication, leadership, and project management skills.

Roles & Responsibilities

· Lead and Manage Research Teams: Direct and mentor a team of engineers and researchers focused on innovative construction technologies and solutions.

· Develop Research Plans: Create and execute research and development plans and roadmaps, aligning with organisational goals.

· Identify and Evaluate Technologies: Stay abreast of industry trends and emerging technologies to drive innovation and competitiveness.

· Technical Leadership: Provide technical guidance and direction to team members, ensuring high-quality outputs to improve company’s digital ecosystem, software and technologies.

· Cross-Functional Collaboration: Partner with other departments and stakeholders to ensure successful project execution.

· Communicate Findings: Present research findings and recommendations to internal and external audiences.

· Manage External Relationships: Oversee relationships with vendors, contractors, and external partners.

· Project Management: Plan, implement, and manage research projects, including coordinating development of project scope, goals, work plans, timelines, and strategies.

· Design and Implement Prototypes: Design and implement experimental prototypes to demonstrate the feasibility and effectiveness of new methodologies.

· Translate Research into Applications: Collaborate with cross-functional teams to translate research findings into practical applications for projects and corporate functions.

· Building prototypes, products, and systems for testing.

· Design testing procedures and coordinate to identify problems and solutions.

· Collaborating on standards for procedures and component requirements.

Qualifications and requirements

· Minimum PhD in Computer Science, Computer Engineering, Data Science or a related field.

· 3-5 years’ work experience in computer engineering/science research in a leadership role; relevance to construction industry will be an advantage.

· Strong understanding of deep learning, neural networks, and techniques for 3D object detection and tracking.

· Familiarity with AI frameworks and cloud platforms.

· Excellent communication, leadership, and project management skills.