Practical Internship: Reinforcement Learning in Logistics
Internship2–5 days per weekHybridIn English
About the job
Boskalis offers a practical internship focused on applying reinforcement learning to logistics challenges in the maritime and dredging sector. You will work on extending a discrete-event simulation and reinforcement learning architecture for real-world dike projects, collaborating with engineers and data scientists.
What you will do
- Understand existing DES and RL architecture
- Configure and extend model for a new dike project
- Design and implement reward functions for cost or emissions
- Train and evaluate Maskable PPO agents
- Test model performance with engineers and data scientists
- Document experiments and recommendations
What you bring
- Studying at university level in AI, Computer Science, Operations Research, Applied Mathematics or related field
- Practical or academic experience with reinforcement learning
- Understanding of PPO and actor-critic methods
- Understanding of reward functions, discount factors, exploration, training stability, hyperparameters
- Comfortable programming in Python
- Good command of written and spoken English, currently living in the Netherlands
Nice to have
- Experience with MLflow and Databricks
- Experience debugging complex systems and interpreting ML model behavior
What you get
- Flexible student position alongside studies
- Contribution to software used on real tenders and projects
- Supervision from experienced developers and AI specialists
- Hands-on experience with Python software development
- Access to development facilities and compute power
- Exposure to dike and offshore construction, logistics optimization, simulation technology
About Boskalis
Boskalis is a global maritime contractor specializing in dredging, offshore energy, and marine infrastructure.
Summary by Personeel.com. The full job description and the application form are on Boskalis's website (jobs.smartrecruiters.com); Apply takes you straight there.
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