Computational Materials Scientist / Computational Chemist

Help us connect what happens inside industrial processes with the models trying to explain them.At GREEN14, we combine experiments, chemistry, physics and AI to understand and optimize complex high-temperature processes.Across industry, process engineers run processes every day while simulation teams build increasingly sophisticated models. But the two worlds do not always connect.We think there is a better way.WHAT WE ARE BUILDINGGREEN14 started five years ago with a mission to develop emission-free production of critical raw materials using hydrogen plasma.Today, we operate a full-scale plasma reactor in Stockholm. Alongside it, we have built capabilities in multiphysics simulation, AI and surrogate modelling.Our ambition is to connect experiments, physics, chemistry and AI to build fast surrogate models that help engineers understand and optimize industrial processes.Ultimately, we want to answer a valuable question:What should I change to get the product I want?YOUR ROLEYou will sit between process engineering, computational science and industry.Internally, you will help us understand what happens inside our reactor, particularly where plasma interacts with materials.Plasma-material interactions can involve extreme heating rates, reactive species, heat and mass transfer, chemical reactions, melting, evaporation, reduction and phase transformations.Which phenomena control the outcome? Which reactions are thermodynamically possible and kinetically relevant? What happens as particles heat, melt, react and cool? What needs to be represented in a model and what can be simplified?You will work with process engineers running experiments and simulation engineers translating physics and chemistry into computational models.Sometimes the answer will be better physics. Sometimes better chemistry. Sometimes better data. And sometimes the model will simply be wrong.Knowing the difference is part of the job.BEYOND OUR REACTORWe also want you to understand challenges facing engineers across plasma, metallurgy and other high-temperature industries.Where are companies spending months running physical trials? Where are scale-up problems difficult to predict? Where are simulations too slow to support engineering decisions?Most importantly, where could our ability to combine multiphysics, experimental data and AI into fast surrogate models make a meaningful difference?You will meet process engineers, researchers and industrial partners, understand their processes and help...

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