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processes so that our overall energy requirements are much lower, using new technologies, increasing energy efficiency and recovering waste energy. This project will evaluate the potential opportunities
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. Unlike purely theoretical PhDs, your work will directly inform decisions in a live industrial setting. You will be focussed on a live industrial plant, not a hypothetical system, involving direct
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a key challenge in sustainable process engineering: translating microbial electrolysis cell (MEC) technology from lab-scale innovation to robust, industrial deployment. The research will sit at
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PhD Studentships - Process Industries: Net Zero Centre for Doctoral Training - Chemical Engineering for Sustainable Wastewater-to-Resource Systems Award Summary 100% fees (UK Home only), a minimum
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months in the 36 months immediately before the recruitment date (unless as part of a compulsory national service or a procedure for obtaining refugee status under the Geneva Convention). shall not already
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that reduces operational efficiency. Predicting where these processes will occur is a challenge because they are controlled in part by reservoir heterogeneity. This project will integrate core observations
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processes. Develop a systematic workflow for integrating experimental observations and reactive transport modelling to construct predictive models of formation alteration. The project is funded by Eni S.p.A
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precipitation, leading to scaling within reservoirs and production wells that reduces operational efficiency. Predicting where these processes will occur is a challenge because they are controlled in part by
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heterogeneities and depositional facies on the distribution and extent of alteration processes. Develop a systematic workflow for integrating experimental observations and reactive transport modelling to construct
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join the internationally recognised EnDROIDS programme (https://endroids.ico2s.org ) and become part of a highly interdisciplinary team of computer scientists, molecular biologists, DNA nanotechnologists