Practical Internship: Reinforcement Learning in Logistics

Papendrecht2 dagen geleden

Stage2–5 days per weekHybrideEngelstalig

Over de functie

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.

Wat ga je doen

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

Wat je meebrengt

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

Mooi meegenomen

Experience with MLflow and Databricks
Experience debugging complex systems and interpreting ML model behavior

Wat je krijgt

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

Over Boskalis

Boskalis is a global maritime contractor specializing in dredging, offshore energy, and marine infrastructure.

Samenvatting door Personeel.com. De volledige vacaturetekst en het sollicitatieformulier staan op de website van Boskalis (jobs.smartrecruiters.com); met Solliciteer ga je er direct heen.

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