Boskalis is currently looking for a student to start their graduation project with us. Logistic planning is a complex task involving numerous dependencies and a chain of events, especially in the large-scale projects that Boskalis conducts. Many projects share common challenges, such as aligning our assets, accounting for external dynamic factors, and meeting the objectives desired by venture partners. Traditional planning methods involve heuristic calculations guided by experience or rules of thumb, which are difficult to manage manually. Multi-Agent Systems (MAS) and Reinforcement Learning (RL) are promising fields worth exploring, as they have shown success in solving NP-hard problems through simulation and verification.

The research project will require the student to conduct a literature review on developing such systems for our defined real-world projects. This will involve finding or building appropriate simulations to run these algorithms. Key design choices need to be made, such as defining the elements of the RL agent(s) and their environment. With a variety of RL algorithms and frameworks available, an educated choice must be made to address our specific problem effectively.

In this research you will

Work with other data scientists and meet with multi-disciplinary operational engineers to understand the challenge.
Conduct literature research on MAS and RL and how they can be used for making schedules.
Formulate the problem in a mathematical model.
Develop efficient generic methods for making schedules for the chosen methods and demonstrate how they can be scaled up for future needs.
Report your final findings, demonstrating your design choices and reproducibility of results.

Your qualities

You are doing a university master’s degree in computer science, AI, mathematics, or other related field.
Affinity with Python and version controlling.
Able to develop, train, and evaluate AI models, using TensorFlow, PyTorch, Keras.
Theoretical understanding of MAS and RL, practical knowledge is not requested but pre.
Proficiency in writing reports and findings, and presenting results.
It is preferred to be working at our office in Papendrecht 3 days a week.

The resources that you will be able to use

Receive supervision and support from data science experts from the Data Science & Engineering department.
Gain access to necessary data and compute resources for training and deploying models (Databricks).
Low threshold to plan meetings with people to gain a better understanding.
Utilize well-established development facilities (Python, source code control, packaging).
Access and review other developments that the Data Science & Engineering department are working on.

What you can expect

Internship guidance: We offer you the opportunity to get the most out of your internship by giving you the right guidance.
Warm welcome: You can count on a warm welcome so that you quickly feel at home at Boskalis.
Salary and more: As an intern, you will receive an internship allowance. In addition, we offer a fun work environment with lots of challenges.
A dynamic work environment: An internship where you can learn a lot from a leading company and where you will be part of a diverse team of experts.
Young Boskalis: Are you younger than 36? Then join Young Boskalis! Monthly social and sporting activities ranging from pub quizzes, yoga, bootcamps and an annual sailboat race. Networking and knowledge sharing are also an important part of Young Boskalis.

About Boskalis

Working at Boskalis is about creating new horizons and sustainable solutions. In a world where population growth, increase of global trade, demand for (new) energy and climate change are driving forces, we challenge you to make your mark in finding innovative and relevant solutions for complex infrastructural and marine projects.

Within a vibrant company culture you will be working as part of a diverse, international team of experts. We offer you the opportunity to realize your full personal potential and expand your professional career by creating new horizons. Together.

Want to know more?
We’ll be happy to answer your questions. Please get in touch with Tim Gouweleeuw (corporate recruiter) via tim.gouweleeuw@boskalis.com

Interested? Please apply!

Disclaimer for recruitment and selection agencies

We don’t accept any unsolicited applications or CVs from recruitment- and selection agencies.

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Graduation Internship: Reinforcement Learning for ...