AI Research Intern

Job description / Role

Remarkable people, trusted by clients to design and advance the world

Wood is currently hiring for an AI research intern to support future growth in our expanding business.

This is a 3-month internship based in Qatar.

Responsibilities

The AI research intern will join Wood PLC's Asset Life Optimisation consulting team to dive into the intersection of artificial intelligence and asset integrity. This internship focuses on exploring how AI and machine learning can enhance service delivery in corrosion, vibration, and integrity management.

Designing the future. Transforming the world.

Reflecting the market focus for the office in both brownfield and greenfield opportunities, multi-skilled personnel are sought, in particular those with experience in:

• Onshore oil and gas
• Offshore oil and gas

What we can offer

• Meaningful and interesting projects delivered to leaders of industry across oil and gas and emerging energy sectors
• Commitment to diversity and inclusion: we are an organisation actively committed to diversity and inclusion across our business with employee networks committed to giving all employees a voice
• Global connections: join experts around the world who are at the leading edge of our industry, shaping the standards of our profession

Key responsibilities

• Research current AI applications in asset integrity (e.g., predictive modeling, anomaly detection)
• Identify inefficiencies in existing workflows and propose AI-based solutions
• Interview team members to understand data availability and operational challenges
• Develop 2-3 AI use cases with feasibility assessments

Deliverables

• A research report or white paper
• A presentation summarizing findings and recommendations
• A simple prototype or mock-up (optional)

Qualifications

What makes you remarkable?

At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge, or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world's most critical challenges.

Experience

• Bachelor's degree (or final year student) in engineering, computer science, data science, or a related field
• Strong analytical and research skills
• Basic understanding of AI/ML concepts and tools
• Ability to communicate technical findings clearly

Preferred qualifications

• Familiarity with Python, MATLAB, or other data analysis tools
• Exposure to asset integrity or reliability engineering concepts
• Experience with data visualization

Learning opportunities

• Research and innovation in AI applications
• Technical writing and presentation skills
• Exposure to real-world engineering challenges

About the Company

Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people.