The University of Sheffield's DigiTwin-FT project seeks a Research Associate to develop a predictive digital twin for scaling up CO₂-to-fuel Fischer-Tropsch reactors. You will work with pilot facilities and real data to validate high-fidelity models and contribute to sustainable chemical manufacturing.
Collaborating with industry partner Siemens, you will address scale-up challenges and greenhouse-gas emissions while benefiting from full training if CO₂ utilisation knowledge is desired but not
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Digital Twin Research Associate: CO2-to-Fuel FT Reactors in Sheffield employer: University of Sheffield
The University of Sheffield is an exceptional employer, offering a vibrant work culture that values diversity and fosters collaboration among its staff. With a commitment to employee development, generous benefits including competitive annual leave, flexible working options, and a supportive environment for personal growth, the university stands out as a place where researchers can thrive and contribute to groundbreaking interdisciplinary projects in a world-class academic setting.
