All jobs
Practical Internship: Reinforcement Learning in Logistics
Boskalis
Papendrecht · HybridEntry level (0–2 years)InternshipPosted today
About the job
What you'll do
You will extend and configure an existing reinforcement learning model for dike construction projects to optimize soil-flow logistics. Your tasks include designing reward functions, training PPO agents, and validating model performance against real-world project data.
What they're looking for
Candidates must be currently studying at a university level in Artificial Intelligence, Computer Science, or a related field with practical experience in reinforcement learning. Proficiency in Python and strong communication skills are required, along with the ability to work independently in the Netherlands.
Full description