R&D Engineer; Thermodynamics

Our journey from start-up to global leader in industrial Carbon Capture

Carbon Clean has been developing and providing carbon capture solutions since around 2009. Over the years, we have grown ourexpertiseand technology, including the Cyclone CC system, to help industries reduce carbon emissions more efficiently. In the next phase of our growth, we areseekingan impactful R&D Engineer (Thermodynamics).

London, UK | Competitive + Incentive Awards tied to your performance + Benefits

The Engineering & Process Research (E&PR) team drives process innovation at Carbon Clean, solving high-value problems and filling critical knowledge gaps. As an R&D Engineer (Thermodynamics), you will build custom property, VLE and reaction models for advanced solvent formulations, maintain and improve existing solvent models, incorporate novel reaction schemes, and drive the advancement of Carbon Clean's solvent formulations through a range of simulation practices.

You will be an expert in thermodynamics and accomplished in the numerical implementation of solvers and optimisers for model regression. Working directly with wet-lab specialists, you will help propose and design experiments, contribute to idea generation and intellectual property, and consult with internal and external stakeholders on well-communicated, tailored solutions.

Reporting to the Engineering and Process Research Manager within E&PR. Full-time, 37.5 hours a week.

• Robust, validated solvent models (thermo-kinetic, property and thermal degradation) that measurably improve prediction accuracy against lab data.
• Accurate activity coefficient models in place for Carbon Clean's novel solvent formulations.
• Experimental programmes co-designed with wet-lab teams that close the key data gaps for model validation.
• New modelling approaches and reaction schemes that contribute to process innovation and intellectual property.
• Clear, regular communication of results that stakeholders trust and act on.

• 50–60%: Solvent thermodynamic and kinetic model development, including activity coefficient (eNRTL), VLE, property and degradation models, and large-scale parameter regression.
• 25–30%: Experimental collaboration and model validation, including co-designing experiments, simulation planning and data analysis.
• 10–20%: Innovation and communication, including literature review, novel reaction schemes, IP generation, and reporting to internal and external stakeholders.

• Build and own the development of solvent models, including thermo-kinetic, property and thermal degradation models.
• Validate models using lab data and continuously refine them to improve predictions.
• Be able to accurately interpret experimental data, engage with experimentalists to improve data quality, and identify datasets needed to build and improve models.
• Drive the building of accurate activity coefficient models for novel solvent formulations, identifying the best approaches and proactively overcoming technical challenges.
• Implement solvers and optimisers to regress large-parameter models against experimental data.

• Collaborate with experimental teams to design experiments and specify datasets and studies that support model validation and improvement.
• Proactively prepare simulation plans in support of project goals.
• Perform post-processing and data analysis using your knowledge of reaction engineering and thermodynamics.

• Keep up with the literature and apply novel approaches and reaction schemes to improve model fidelity and predictive capability.
• Play an integral part in idea generation, driving process…