Computational Materials Scientist hos GREEN14 i Stockholm
Kopplar samman industriella processer med modeller genom att kombinera experiment, kemi, fysik och AI. Du har en PhD eller motsvarande erfarenhet inom computational chemistry, materials science, chemical engineering eller ett relaterat fält.
Titel, arbetsplatsens namn och sammanfattning skrivna av AI utifrån annonsen.
Bra att veta
Lön
Inom yrkesgruppen Kemister har de som jobbar i privat sektor i Stockholm i snitt 59 400 kr i månaden, varav 59 300 kr i grundlön. I hela landet, i privat sektor, tjänar hälften mellan 46 000 kr och 64 000 kr. Det är statistik för yrket, inte vad den här arbetsgivaren betalar.
Källa: SCB, lönestrukturstatistik 2025
Anställningen
Anställningen har inget slutdatum. Den kan börja med en provanställning på högst sex månader. Vill arbetsgivaren avsluta den under provtiden ska du få besked minst två veckor i förväg; annars blir den en vanlig tillsvidareanställning när provtiden är slut. Därefter krävs sakliga skäl för att säga upp dig, och uppsägningstiden är minst en månad, längre ju längre du har varit anställd.
Ett kollektivavtal kan ge andra regler än lagen.
Texten är skriven med AI och kan innehålla fel. Kontrollera med arbetsgivaren.
Källa: Lagen om anställningsskydd (LAS)
Arbetsgivaren
GREEN14 har annonserat 4 jobb det senaste året: 3 tillsvidareanställningar och 1 tidsbegränsad anställning. Det är deras första annons inom yrkesgruppen Kemister på två år.
Källa: vår sammanställning av Arbetsförmedlingens annonser
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.
GREEN14 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.
What should I change to get the product I want?
Your role
You 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 reactor
We 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 us identify which problems are worth solving.
Who you are
You have a PhD or equivalent experience in computational chemistry, materials science, chemical engineering, physical chemistry, computational materials science or a related field.
You understand areas such as high-temperature thermodynamics, reaction kinetics, phase transformations, surface reactions, plasma chemistry or heat and mass transfer.
Experience with multiphysics, CFD, COMSOL, thermodynamic or kinetic modelling, CALPHAD, plasma modelling, Python or scientific computing is valuable.
We do not expect you to be an expert in everything.
More important is how you think.
You understand that a beautiful model is not necessarily a useful model. You care about assumptions, validation and whether predictions survive contact with experimental data.
You are also genuinely interested in industrial processes.
When you meet a process engineer, your mind starts working:
Could we model this? Could we validate it? Could we build a surrogate around it?
Would solving it actually matter?
That is the mindset we are looking for.
Avsnitt som inte handlar om jobbet är utelämnade. Rubriker i versaler visas med gemener. Hela annonsen finns hos Arbetsförmedlingen.
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