Internship Human-AI collaboration

Steering a baggage handling system is a complex task and is largely dependent on human decision making. People master such skills for a long time, and this process requires good number of examples to learn from. We do see opportunities for human-AI collaboration to achieve best possible outcomes. This would entitle ability to fast-forward scenarios, replay back and extract essential lessons and more.

Innovation team has defined several ideas to realize this long-term vision and some of them have been actively worked on. The goal of this assignment is to focus on not yet explored direction and create a digital environment in which people can train their skills by solving different scenarios that resemble real-life situations. We envision it as a game, in which the player can set different-levels and modes. The player can play or let AI play. At each step, ask for possible actions and reasoning behind. How would such an AI player be defined and evolve over time? How can we scale up such idea to multiple players?

Vanderlande has a rich set of simulation models and operational data, which we foresee as an input for this assignment. As with any innovation idea we aim to explore feasibility and measure how much value it brings.

Your department

You will be positioned in the Innovation department and work in a very inspiring environment. Your direct colleagues are the people who guide the organization towards future solution directions. As a student you will have ample support and access to the existing knowledge within the team. Are you ready for this amazing opportunity and create value for a real-world use-case?

Your responsibilities

• Explore available models and how they can be reused for this purpose.
• Define different scenarios that resemble real-life situations, from simpler to more complex.
• Define the interface between the human and the digital environment, which allows the human to have conversations about the actions (preferred gamification)
• Implementation and testing
• Validation with end users
• Writing a report

Your skills

• Experience with Python
• Experience with Large Language Models and Machine Learning
• Discrete Event Simulations
• Familiarity with Azure and Databricks