FieldAnalysis & Prediction, Data Science & Machine Learning, Software Engineering
ContactFrans Hendrik Lafeber, F.Lafeber@marin.nl
Support the maritime sector and improve shipping by developing smart data and software solutions.
What are you going to do?
You will operate as a data engineering specialist in the Data Science & Process Optimisation team. Our clients challenge us with new questions about their ships, which require new methods and tools to analyse and visualise the data from our model-scale experiments and simulations. You make the connection between our hydrodynamic and nautical experts, software engineers, and data scientists to develop the most efficient way to answer the client’s question. Improving our internal processes for data analysis, data storage and reporting is another big component of the work. You will be a pioneer, creating innovative prototypes based on recent developments in software architecture, cloud techniques and data engineering.
What do we offer?
MARIN is an independent and globally recognised institute in hydrodynamic and nautical research. We have a relevant mission: to make shipping cleaner, smarter and safer, and to contribute to the sustainable use of ports, waterways and the sea. To reach this goal, we make use of model test facilities, simulators, numerical tools, and we go out to measure on real ships. You will work together with 400 colleagues and there will be many opportunities to choose your own route.
Who are we looking for?
You quickly understand the client’s requirements and come up with an efficient solution to meet those requirements. Working with various teams of experts and software engineers gives you energy. You have an affinity with data engineering and data science. Experience with Python is a must. You are familiar with web-based applications, databases, cloud services and Docker. A good understanding of physics or hydrodynamics is a great asset to help interpreting the client’s requirements. You have a good command of the English language and are willing to learn Dutch if that is not your mother tongue.
Frans Hendrik Lafeber, team leader Data Science & Process Optimisation, is happy to tell you more about the position: +31 (0)317 49 32 73. You can apply for this position by using the APPLY button.