Graduate Consultant - Ground Engineering (R&D Focus)

WSP in the Middle East; Sharjah; On-site; AED 60,000 - 90,000; Full time

Job summary

A leading company in the engineering sector is seeking a Research and Development Graduate Consultant in Ground Engineering to join their team in the UAE. The role focuses on leveraging advanced AI technologies to improve engineering practices. Candidates should hold an MSc in a relevant field and possess strong technical skills in data analysis and machine learning. WSP offers a supportive environment with competitive pay, benefits, and professional development opportunities. Apply today!

Benefits

Competitive pay

Medical benefits

Generous leave

Professional development support

Flexible working arrangements

Qualifications

• MSc in AI, Data Science, Engineering, Transport Studies, or related fields.
• Proficiency in AI technologies and tools is essential.
• Strong problem-solving and data interpretation skills.

Responsibilities

• Assist experienced engineers in innovative AI applications in ground engineering.
• Conduct research and optimization through AI solutions.

Skills

AI technologies

Data analysis

Machine learning

Neural networks

Deep learning

Programming languages (Python, R)

Analytical skills

Communication skills

Project management

Team collaboration

Education

MSc in AI, Data Science, Engineering, or related fields

Tools

Microsoft Azure Sandbox

Job description

Job Description

At WSP, you can access our global scale, contribute to landmark projects, and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. WSP in the Middle East is looking for a Research and Development (R&D) Graduate Consultant - Ground Engineering to join us in Dubai, United Arab Emirates. As an R&D Graduate Consultant in Ground Engineering, you will assist experienced engineers and geotechnical professionals in pushing the boundaries of established practices with science-based approaches using cutting-edge technologies, including deep learning in computer vision, machine learning systems, and AI.

Responsibilities

1. Process Optimization: Identify inefficiencies and implement best practices to reduce costs and improve project timelines using AI in engineering.
2. Research and Analysis: Conduct research into emerging AI technologies and their applications within ground engineering.
3. Data Collection: Gather and analyze data to guide project decisions, support AI strategies, and solve engineering challenges.
4. AI Implementation: Collaborate with technical teams to deploy AI solutions across disciplines, utilizing tools like Microsoft Azure Sandbox.
5. Innovation: Introduce modern methodologies to improve workflows from planning through execution.
6. Data-Driven Decisions: Use analytics and big data to make informed decisions, minimize risks, and enhance productivity.
7. Research Leadership: Lead and publish research on industry innovations and best practices.
8. Collaborative Projects: Partner with clients and global specialists on joint research initiatives.
9. Outcomes: Grow your AI knowledge, enrich your portfolio, and contribute to impactful innovation initiatives at WSP.

Qualifications

1. Educational Background: MSc in AI, Data Science, Engineering, Transport Studies, or related fields. Candidates nearing graduation are considered.
2. Technical Skills: Proficiency in AI technologies, data analysis, machine learning, neural networks, deep learning, and programming languages like Python or R. Experience with Microsoft Azure Sandbox is desirable.
3. AI Engineering Knowledge: Understanding of AI and engineering principles, including workflows for data processing and analysis.
4. Analytical Skills: Strong problem-solving and data interpretation skills.
5. Communication Skills: Ability to explain complex concepts to non-technical stakeholders.
6. Project Management: Effective management of multiple tasks and projects.
7. Team Collaboration: Experience working in diverse, multidisciplinary teams.
8. Passion for Innovation: Interest in using AI to advance ground and geotechnical engineering.
9. Flexibility: Willingness to travel to project sites as needed.

WSP supports work-life balance and flexible working arrangements. We offer competitive pay, medical benefits, generous leave, and professional development support. Join our community of talented individuals making a positive impact worldwide. Apply today!