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A synthetic fuel company in the UK seeks a computational scientist to develop process models and simulations from operational data. Your role will involve refining DAC process models, performing heat and mass transfer calculations, and working with teams to validate models against empirical data. The ideal candidate has 3-7 years of experience, preferably with a background in chemical engineering, and proficiency in relevant tools like MATLAB and Aspen Plus. Competitive salary of £70-80k depending on experience, with additional benefits including significant share options and relocation support.
Rivan Industries (Rivan.Com) is a synthetic fuel company designed to decarbonise heavy industry. We aim to make synthetic fuel cheaper than fossil fuels and sustain life on earth by keeping the CO2 locked underground.
We’ve designed and manufacture modular synthetic fuel plants consisting of a DAC system, an Alkaline Electrolyser, and a Sabatier Reactor, vertically integrating with off-grid DC solar and the European gas-grid. We've recently deployed the UK’s largest synthetic fuel plant and are planning to 1000x this scale in the next two years.
We’re looking for a computational scientist to take the reins by building models and simulations on top of our operational data to direct where we spend our next resources. You will find every integration pinch point, performance ceiling, and fragile operation before it becomes an issue.
£70‑80k salary depending on experience, significant share options as part of the early team, in-person work at our HQ in Bermondsey, South‑East London, extensive relocation support including £6,000 per year extra to live close to our HQ, and unlimited time‑off.
In-person work at our HQ in Bermondsey, South‑East London.