About this role
"" Onboarding : Melanie Internship/Graduation: Improving Engineering Productivity with AI - URL copied Veghel, Netherlands. Full time Assignment type : Internship/graduation Start date : Oktober 2026 Assignmentduration : 6 months Location : Veghel Educationlevel : Master Desiredstudy : Data Science, Human-Technology Interaction, Artificial Intelligence & Engineering Systems, Industrial Engineering Language : Dutch / English Description of assignment 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,...