Turn ship physics into software people actually useAt Cetasol we build the monitoring and analytics platform that commercial fleets use to cut fuel consumption, understand how their vessels really perform, and stay on the right side of CII and EU MRV reporting. A growing part of that platform is predictive maintenance: catching when an engine, generator, thruster, or the vessel as a whole starts behaving differently than it should, before it becomes a failure.Getting there takes two things that rarely live in the same person: an understanding of the physics behind how these assets actually behave, and the engineering skill to ship that understanding as a working product.We're looking for that person.What you'll doBuild physical and data-driven models of vessel assets — engines, generators, thrusters, and the ship as a whole — that capture what "normal" operation looks likeDetect when an asset deviates from its expected behaviour, and trace that deviation back to the sensors and signals driving itWork with noisy, real-world sensor data from vessels: clean it, validate it, and decide what it can and cannot supportTake your own models from notebook to production on AWS, and build the React interfaces where the results actually land in front of customersOwn features end to end, with our UX designer, full stack developers and data scientist alongside youHelp us decide where a first-principles model beats a statistical one, and where it doesn'tWhat we're looking for The balance here is genuinely 50/50. You should be comfortable deriving a model and deploying it.On the modelling side:Strong applied mathematics, physics or engineering foundation — fluid dynamics, thermodynamics, control theory, numerical methods, or similarExperience with anomaly detection or condition monitori…Data scientistSystemanalytiker och IT-arkitekter m.fl.
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