Graduate Engineer

WSP in the Middle East

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You will be working at the intersection of emerging technologies, innovation, and multidisciplinary project construction delivery, collaborating closely with regional and global teams. This role offers a hands-on opportunity to help define the future of supervision in construction, ensuring smarter and safer project execution.

Responsibilities

• Audit: Assess how we are currently working and identify areas that the candidate feels they can help us improve and areas they are passionate about seeing active change
• Research and Analysis: Conduct in-depth engineering research on the latest AI technologies and their applications in construction management
• Data Collection: collect and analyse data from various sources to inform project decisions, AI integration strategies and solve complex challenges.
• Project Management: Assist in managing research projects, ensuring timely delivery of milestones and objectives.
• AI Implementation: Work closely with technical teams to integrate AI solutions across all disciplines of the transport and infrastructure projects using Microsoft Azure Sandbox and related tools.
• Stakeholder Engagement: Collaborate with internal and external, regional and global stakeholders to understand needs and ensure successful project outcomes.
• Reporting: Prepare detailed reports and presentations to communicate research findings, project progress, and AI adoption strategies.
• Innovation: Identify and propose innovative solutions to enhance project efficiency, sustainability, and performance through AI.
• Team Collaboration: Work with our multidisciplinary teams to improve our new digital ways of working.
  
  
  

The candidate will utilize their year with WSP to develop their portfolio, further their AI for engineering knowledge and deliver a number of innovative improvement initiatives that will ensure we become a better, faster more agile business.

Qualifications

• A bachelor s degree in aerospace engineering, Electronic Engineering, or equivalent qualification.
• Educational Background: MSc degree in Artificial Intelligence, data science, engineering, or equivalent. Near graduation is acceptable.
• Technical Skills: Proficiency in Artificial Intelligence technologies, data analysis tools, supervised and unsupervised learning, neural networks, and deep learning, and programming languages such as Python or R and Azure Sandbox.
• Analytical Skills: Strong analytical and problem-solving skills with the ability to synthesize complex information.
• Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to non-technical audiences.
• Project Management: Ability to manage multiple projects and deliverables effectively and efficiently.
• Team Collaboration: Demonstrated ability to work collaboratively in a multidisciplinary team environment.
• Passion for Innovation: A keen interest in leveraging AI to drive innovation in construction management.