GREEN 14 AB jobb

Learn to operate and develop one of Sweden's most unusual experimental process environments. At GREEN14, we operate a full-scale plasma reactor in Stockholm and develop new processes for high-temperature metallurgy and advanced materials. We are looking for a Junior Process Technician to join the team running our experiments. You do not need years of experience. In fact, this could be your first job after university. What matters is that you are practical, curious and genuinely interested in understanding how things work. THE ROLE This is a hands-on job. You will work directly with our plasma reactor and experimental equipment. Together with our process engineers, you will prepare experiments, operate equipment, handle materials and make sure the reactor is ready for the next run. One day you might install a plasma torch or cyclone. The next you could open and clean the reactor, prepare metal powder, replace components or help investigate why an experiment behaved differently than expected. You will learn how the complete process works - from gas and powder feeding to plasma, reactor conditions, cooling and powder collection. Typical responsibilities include: Preparing the reactor for experiments. Opening, cleaning and rebuilding process equipment. Installing and changing plasma equipment, cyclones, piping and other components. Handling, weighing and preparing metal powders and samples. Supporting operation of plasma, vacuum, gas and powder-feeding systems. Recording experimental conditions and observations. Following and improving safety and operating procedures. Helping troubleshoot equipment and process problems. Supporting our engineers during experiments and process development. WHO YOU ARE You may be at the beginning of your career. A degree in chemistry, chemical engineering, materials science, process technology or a related field would be excellent, but practical ability and curiosity matter just as much. You like understanding how things work. If something does not behave as expected, you want to know why. You are comfortable getting your hands dirty, taking equipment apart and learning how to put it back together correctly. At the same time, you are interested in the science behind the process. Why did more powder stick to the reactor wall? What changed when we adjusted the gas flow? Why did the material behave differently this time? We want someone who will gradually become more than the person operating the equipment. We want you to become a knowledgeable part of the process team - someone who understands the reactor, asks good questions and contributes ideas. You do not need to know plasma technology today. We will teach you. WHAT WE ARE LOOKING FOR A practical and hands-on mindset. Strong curiosity about technology, chemistry and physical processes. Attention to detail and respect for safety. Willingness to learn new equipment and procedures. Ability to work closely with engineers and scientists. Comfortable working in English. Experience from a laboratory, workshop, pilot plant or industrial environment is useful, but not required. WHY GREEN14 GREEN14 started five years ago with a mission to develop emission-free production of critical raw materials using hydrogen plasma. Today, we combine real experiments with materials science, multiphysics simulation and AI to develop new high-temperature processes. Here, you will not be far away from the technology. The reactor is downstairs. You will work next to the engineers and scientists designing the experiments, see the results and gradually build a deep understanding of how the process works. For the right person, this role can develop significantly as your knowledge and responsibility grow. HOW WE WORK We are a small, international team of engineers and scientists. We are curious, direct and serious about getting things right. There is very little hierarchy. Good ideas matter more than titles, and asking questions is encouraged. We work hard, but flexibly, and value having a life outside work. THE PRACTICAL STUFF The position is based in Stockholm at Sweden's leading technical university, close to central Stockholm. Compensation consists of salary and pension together with qualified employee stock options. If you are curious about chemistry and technology, like working with your hands and want to learn how a full-scale plasma reactor actually works, we would like to hear from you. The position will remain open until we find the right person.

Turn cutting-edge simulation and ML research into software that engineers can actually use. At GREEN14, we are building simulation technology for complex industrial processes. Our team combines multiphysics models, machine learning and experimental data to understand systems such as plasma reactors and high-temperature metallurgical processes. We can build sophisticated models and fast surrogates. Now we want to turn that capability into robust software that can be used beyond our own research environment. WHAT WE ARE BUILDING 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, simulation, surrogate models and optimization into a continuous learning process. But a great model sitting in a research notebook is not a product. Models need data and pipelines. Experiments need to be reproducible. Software needs APIs. Models need to be tested and versioned. Computation needs to be fast and reliable. That is where you come in. YOUR ROLE You will build the software and computational infrastructure connecting our physics, AI and experimental data. You will work directly with scientists and engineers developing our models and turn research code into software other engineers can reliably use. A typical problem might start with JAX code developed by a researcher. Your job is to ask: How do we make this reliable, testable, reproducible, fast and usable by someone who did not write it? You will have substantial ownership over the technical foundations of our simulation platform. WHAT YOU WILL DO Build backend architectures connecting sensor data, physics models, ML models and simulation workflows. Turn JAX-based research code into maintainable, production-ready software. Build pipelines connecting experimental data, simulation, surrogates and optimization. Develop infrastructure for model training, evaluation and reproducibility. Build APIs, packages and repositories for long-term production use. Establish testing, CI/CD, versioning and monitoring for scientific software. Identify computational bottlenecks and improve performance. Contribute to deployment and cloud infrastructure as our products mature. WHO YOU ARE You have experience taking technically complex software from prototype to something other people can reliably use. You might come from software engineering, ML engineering, scientific computing or data engineering. We are particularly interested in experience with: Python and modern software engineering. JAX or other numerical and ML frameworks. Backend architectures and APIs. Data pipelines and databases. ML infrastructure and MLOps. Testing, CI/CD and reproducible workflows. Computationally intensive workloads. Experience with Docker, cloud infrastructure, Kubernetes, GPU computing, FastAPI or ML tooling is useful. Experience with JAX, scientific computing or simulation software is particularly relevant. We do not expect you to tick every box. THE KIND OF PERSON WE ARE LOOKING FOR You do not need to be a plasma physicist. What matters is that you enjoy working at the boundary between scientific computing, machine learning and real-world software engineering. You like understanding what researchers are trying to achieve, but your instinct is to turn clever prototypes into systems other people can depend on. You care about architecture, performance and maintainability, but you also write code. You should also be curious about the physical world behind the software. Our code represents real plasma, particles, materials and experiments. WHY GREEN14 Many software engineers working in simulation never see the physical system their code represents. Here, the reactor is downstairs. Our engineers run experiments. Sensors generate data. Our simulation team compares results with models. The models improve. You build the infrastructure that makes that loop faster and more reliable. Our ambition is broader than one reactor. We want to help engineers understand, optimize and scale complex high-temperature processes across industries. HOW WE WORK You will join a team of serious engineers and scientists who care about getting things right. We are international, curious and direct. We challenge each other's thinking and change our minds when the data tells us to. There is very little hierarchy. Good ideas matter more than titles. We are ambitious, but low on ego. We work hard, flexibly, and 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, close to central Stockholm and our plasma reactor. If you want to turn physics, AI and experimental data into software that could change how industrial processes are developed and optimized, we would like to hear from you. The position will remain open until we find the right person.

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 BUILDING 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. Ultimately, we want to answer a valuable question: 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. WHY GREEN14 Many computational scientists model experiments performed somewhere else. Here, the reactor is downstairs. We can simulate something, run an experiment, measure what happened and use the result to improve the model. Our ambition is broader than our own reactor. We believe the combination of multiphysics, chemistry, experimental data and AI can change how complex industrial processes are developed, scaled and optimized. HOW WE WORK You will join a team of serious engineers and scientists who care deeply about getting things right. We are international, curious and direct. We challenge each other's thinking and change our minds when the data tells us to. There is very little hierarchy. Good ideas matter more than titles. We are ambitious, but low on ego. We work hard, flexibly, and 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, close to central Stockholm, with our simulation team close to the reactor and experiments. If you think chemistry, simulation and experiments should live much closer together, we would like to hear from you. The position will remain open until we find the right person.

Turn complex physics and AI into products engineers actually use. Bridge simulation, software and industrial processes to change how engineers understand and optimize production. At GREEN14, we are building a new generation of simulation technology for complex industrial processes. Our team combines multiphysics models, machine learning and experimental process data to understand systems such as plasma reactors and high-temperature metallurgical processes. We can build sophisticated models and fast surrogates. But for that technology to matter outside a research environment, a process engineer needs to be able to use it. That is where you come in. 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. 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, simulation, surrogate models and optimization into a continuous learning process, and make that capability accessible to the engineer actually running the process. Imagine an engineer trying to understand why yield has changed, how temperature is distributed inside a reactor, what happens if gas flow increases, or which operating parameters could produce a desired output. They should not need to understand our solver architecture or write Python. They should be able to explore the process. That is the product we want you to help us build. YOUR ROLE You will sit between simulation, software, product and industrial process engineering. You will own much of how engineers interact with our technology: how they change process parameters, run scenarios, inspect simulation results, compare operating conditions and use models to make better decisions. That requires more than frontend engineering. You need to understand what the simulation represents, what matters to the engineer using it and how complex physical behaviour can be presented in an intuitive way. You will work directly with our simulation and AI researchers, process engineers and industrial partners. Your job is to connect those worlds. WHAT YOU WILL DO Build interactive software for simulation, visualization and industrial process analysis. Turn complex simulation outputs into intuitive visualizations. Build interfaces for manipulating parameters, running scenarios and comparing results. Define workflows from process problem and inputs to simulation, exploration and decision-making. Connect applications to simulation and ML backends through APIs. Build reusable components and application architecture for different simulation products. Work with our simulation team to understand the underlying physics and how it should be exposed to users. Help turn internal research tools into software industrial engineers want to use. WHO YOU ARE You are a strong software engineer who cares about both technical quality and whether the software actually solves a problem. We are particularly interested in experience with: React, TypeScript or a comparable modern stack. Interactive and data-heavy applications. Scientific, engineering or time-series visualization. APIs and computational backends. Application architecture and production software development. Experience with Python, FastAPI, WebGL, Three.js, scientific visualization, Docker or cloud infrastructure is useful. Experience building software for engineering, scientific or industrial users is particularly valuable. But technology is only part of the role. THE KIND OF PERSON WE ARE LOOKING FOR You do not need to be a plasma physicist, but you do need to want to understand the process. If an engineer tells you that pressure drop suddenly increases after twenty minutes, your first instinct should not only be to ask how we visualize the data. You should want to understand why. What changed? What does the model say? Which variables matter? What can the operator control? You enjoy talking to scientists and process engineers and asking questions until you understand the real problem. Then you ask: How do we turn everything we know into something this engineer can actually use? That is the mindset we are looking for. WHY GREEN14 Many software engineers building scientific products are several steps removed from the physical system their software represents. Here, the reactor is downstairs. You can talk to the person operating it, look at the experimental data, speak to the scientist modelling it and then build the software connecting those pieces. Our current work is focused on plasma and high-temperature metallurgy, but our ambition is broader. We want to help engineers understand, optimize and scale complex industrial processes. HOW WE WORK You will join a team of serious engineers and scientists who care deeply about getting things right. We are 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. We are ambitious, but low on ego. We help each other get better because the problems we are solving are genuinely hard. We work hard, but flexibly, and 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, close to central Stockholm. We want the people building our products close to the reactor, experiments and engineers using them. If you want to turn sophisticated physics and AI into software that helps engineers make better decisions about real industrial processes, we would like to hear from you. The position will remain open until we find the right person.