Help us connect what happens inside industrial processes with the models trying to explain them.

GREEN14 is looking for a computational materials scientist or computational chemist who wants to work where experiments, chemistry, physics, simulation and industry actually meet.

You probably understand a frustration we see across industry: process engineers run complex high-temperature processes every day, while simulation teams build increasingly sophisticated models — but the two worlds don't always connect.

Process engineers know their equipment and materials. Simulation engineers understand the physics. But complex processes are still often optimized through experience and trial and error because conventional simulations can be too slow, too difficult to validate or too disconnected from real operating data.

We think there is a better way.

What we are building

GREEN14 started five years ago with a mission to help Europe develop emission-free production of critical raw materials using hydrogen plasma.

That journey gave us something increasingly important: our own experimental infrastructure.

Today, we operate a full-scale plasma reactor in Stockholm and run experiments on high-temperature metallurgical processes. Alongside it, we have built significant capabilities in multiphysics simulation, internal solvers, AI and surrogate modelling.

Our ambition is to connect these worlds:

Experiment → physics → chemistry → simulation → surrogate → optimization → experiment

The goal isn't simply to create more accurate simulations.

We want to build fast, trustworthy surrogate models that capture enough of the underlying physics and chemistry to help engineers explore operating conditions, understand sensitivities and optimize complex processes without running thousands of physical experiments or computationally expensive simulations.

Ultimately, we want to help answer a much more valuable question:

What should I change to get the product I want?

Your role

This role sits between three worlds: process engineering, computational science and industry.

Internally, you will spend time understanding what actually happens inside our reactor — and particularly at the interface between a high-energy plasma and a material.

A plasma is not simply a very hot gas. Its interaction with a particle, melt or surface can involve extreme heating rates, reactive species, complex heat and mass transfer, chemical reactions, melting, evaporation, reduction, nucleation, solidification and phase transformations — often occurring over very short timescales.

Understanding which of these phenomena actually control the outcome is part of the challenge.

How quickly does a particle heat? What species reach its surface? Which reactions are thermodynamically possible, and which are kinetically relevant? What happens as the material melts, reacts, evaporates or cools? Which phenomena need to be represented explicitly in a model, and which can be simplified?

These are the kinds of questions we want you to help us answer.

You might work with a process engineer trying to understand why a material behaves differently at a certain temperature or residence time in the morning, and with a multiphysics engineer figuring out how that behaviour should be represented computationally in the afternoon.

Sometimes the answer will be better physics.

Sometimes better chemistry.

Sometimes better experimental data.

And sometimes the model will simply be wrong.

Knowing the difference is an important part of the job.

Beyond our reactor

Your role doesn't stop at our own process.

We want you to understand the problems facing process 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 plasma-material interactions poorly understood? Where are processes sensitive to parameters engineers cannot easily observe or measure? Where are existing simulations too computationally expensive to support everyday engineering decisions?

And 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 how their processes work and help us determine which problems are worth solving.

You won't be selling software. You will be helping us discover where our technology actually creates value.

Connecting experiments and models

You will work closely with our process engineers, multiphysics engineers, AI specialists and scientific computing team.

Together, you will decide which chemical and material phenomena matter, how they should be represented computationally, which assumptions are reasonable and which experiments we need to run to validate them.

Just as importantly, you will influence the experiments themselves.

If the model needs a measurement we aren't taking, tell us.

If an experiment could distinguish between two competing explanations, design it with us.

If an industrial process contains physics or chemistry our existing models don't capture, help us understand what needs to change.

We don't want simulation separated from reality.

Who you are

You have a PhD or equivalent depth of experience in computational chemistry, materials science, chemical engineering, physical chemistry, computational materials science, plasma-material interactions or a related field.

You have a strong understanding of several areas such as high-temperature thermodynamics, reaction kinetics, phase transformations, surface reactions, materials chemistry, plasma chemistry or heat and mass transfer.

You are comfortable working with computational models and understand that chemistry does not happen in isolation: it interacts with fluid flow, temperature, pressure, species transport, electromagnetic fields and material properties.

Experience with multiphysics simulation, CFD, COMSOL, thermodynamic or kinetic modelling, CALPHAD, plasma modelling, molecular or atomistic modelling, Python or scientific computing is valuable.

We don't expect one person to be an expert in all of them.

More important is how you think.

You understand that a beautiful model is not necessarily a useful model. You care about assumptions, boundary conditions, validation and whether predictions survive contact with experimental data.

You are also genuinely interested in industrial processes.

You enjoy walking into a plant or meeting a process engineer, understanding how something is made and asking questions until you understand where the real constraints are.

Then 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's the mindset we're looking for.

Why GREEN14

Many computational scientists spend their careers modelling experiments performed somewhere else.

Here, the reactor is downstairs.

We can simulate something, change a parameter, run an experiment, measure what happened and use the result to improve the model.

That feedback loop is central to what we are building.

Our current work is focused on plasma and high-temperature metallurgy, including metal powders and materials processing. But our ambition is broader.

We believe advances in multiphysics, computing and AI are creating an opportunity to change how complex industrial processes are developed, scaled and optimized.

The technology is moving quickly. The interesting question is where it can create real industrial value.

We want you to help us find those problems — and then help us solve them.

How we work

You'll join a team of serious engineers and scientists who care deeply about getting things right.

We're international, curious and direct. We challenge each other's thinking, share what we know and change our minds when the data tells us to.

There is very little hierarchy and no room for corporate politics. Good ideas matter more than titles, and we expect people to speak up when they think we're wrong.

We're ambitious, but low on ego. We help each other get better because the problems we're trying to solve are genuinely hard — and none of us can solve them alone.

We work hard, but flexibly, and we value having a life outside work.

The practical stuff

Compensation consists of salary and pension together with qualified employee stock options.

We are based at Sweden's leading technical university, a few minutes from central Stockholm. There is a reason for that location: we want our computational scientists close to the reactor, the experiments and the engineers running them.

If you think chemistry, simulation and experiments should live much closer together — and you are curious about where that combination could change industrial processes — we'd like to hear from you.

The position will remain open until we find the right person.