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.
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Digital Twin Lead: Fischer-Tropsch Reactors (DigiTwin-FT) in Sheffield employer: Dunhillmedical
The University of Sheffield is an exceptional employer that prioritises the wellbeing and development of its staff. With a strong commitment to diversity, flexible working arrangements, and a generous benefits package including competitive annual leave and family-friendly policies, employees are supported in both their professional and personal lives. Join us in a vibrant work culture that values collaboration and innovation, making a meaningful impact in the academic community.
