Digital Twin Lead: Fischer-Tropsch Reactors (DigiTwin-FT)

University of Sheffield is seeking a Research Associate to develop and validate a predictive digital twin for Fischer-Tropsch reactors under the DigiTwin-FT project. You will leverage pilot-scale data, integrate physics-informed models, and collaborate with Siemens to align with industrial workflows.

The role involves TEA and LCA scoping, data engineering, manuscript preparation, and contributing to IP and grant proposals. A PhD in a related field is essential.