Internship/Graduation: Improving Engineering Productivity with AI

StudentJob; Veghel; On-site; EUR 9,000 - 11,000; Full time

Job summary

Vanderlande’s DaVinci Engineering team invites an internship/graduation candidate to explore, develop, and implement AI solutions that boost engineering productivity. The role involves interviewing engineers, analyzing workflows, and designing AI use cases with a goal to reduce repetitive tasks and increase innovation.

You'll collaborate with engineers and AI experts to pilot at least five AI use cases, assess adoption, and provide scaling recommendations across engineering teams within

Qualifications

• Interviewing engineers to understand daily activities and challenges.
• Analyze engineering workflows to identify AI productivity opportunities.
• Organize workshops and co-creation sessions to generate and select AI use cases.
• Design, pilot, and evaluate AI solutions with engineers and AI experts.

Responsibilities

• Interview and observe engineers from multiple disciplines to understand tasks.
• Evaluate and map workflows to AI-driven improvements.
• Lead workshops to validate AI use cases with the team.
• Partner with Vanderlande AI experts to pilot scalable AI solutions.

Skills

AI enthusiasm

Analytical mindset

Communication skills

Independent work

Education

Master student

Job description

Job Title

Internship/Graduation: Improving Engineering Productivity with AI

Job Description

Assignment type: Internship/graduation

Start date: Oktober 2026

Assignment duration: 6 months

Location: Veghel

Education level: Master

Desired study: Data Science, Human-Technology Interaction, Artificial Intelligence & Engineering Systems, Industrial Engineering

Language: Dutch / English

How can AI help engineers spend less time on repetitive work and more time on innovation? During this internship or graduation project, you will join the DaVinci Engineering team to explore, develop, and implement AI solutions that improve engineering productivity across Vanderlande. Working closely with engineers and AI experts, you will identify opportunities where AI can add value by reducing repetitive tasks, streamlining workflows, and supporting daily engineering activities.

As part of the assignment, you will interview and observe engineers to gain insight into their work patterns, challenges, and opportunities for AI support. Based on your findings, you will analyze engineering activities and develop a framework that links different types of work to suitable AI solutions. Together with the engineering team, you will design, pilot, and implement at least five AI use cases, evaluate their adoption and impact on productivity, and provide recommendations for scaling successful solutions across other engineering teams within Vanderlande. By the end of the project, you will have made a tangible contribution to the adoption of AI within engineering, enabling engineers to spend less time on repetitive work and more time on innovation.

Department description

Linesorters is a Technology & R&D department within Vanderlande that develops innovative sortation solutions for parcel and distribution customers worldwide. With a multidisciplinary team of engineers, architects, and specialists, Linesorters combines technical expertise and customer focus to create reliable, flexible, and future-ready solutions that improve operational performance and efficiency.

Tasks/responsibilities

• Interview and observe engineers from different disciplines (mechanical, electrical, systems, architecture, and documentation) to understand their daily activities and challenges.
• Analyze engineering workflows and identify opportunities where AI can improve productivity, quality, or knowledge sharing.
• Organize workshops and co-creation sessions to generate, prioritize, and validate AI use cases together with team members.
• Design, pilot, and evaluate AI solutions in collaboration with Vanderlande AI experts, and provide recommendations for wider adoption across the organization

Your profile

• Strong interest in applying AI to real-world engineering and productivity challenges.
• Analytical mindset with experience in research methods, data analysis, and problem-solving.
• Excellent communication skills and comfortable interviewing and facilitating workshops with engineers from different disciplines.
• You are self-driven, curious, and capable of working independently in a multidisciplinary environment.
• Experience with Generative AI, machine learning, process improvement, automation, or data analytics is considered a plus
• Mandatory enrolment to a Dutch Education System & resident of The Netherlands

Salarisomschrijving

In overeenstemming

Vaardigheden

• Je beheerst Deens

Opleiding

HBO