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, particularly under intermittent loads, remain a barrier for accelerated scale-up and deployment of these technologies. Thus, more than ever, it is vital to get in-operando information of cell behaviour beyond
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of the technology associated to costs, durability and scale up. A potential option to address some of these challenges is enlarging the active cell area from the state-of-the-art of 100 cm², up to 1000 cm², as fewer
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are looking for a PhD candidate to develop a hybrid physics-based and data-driven digital twin of an AEM cell. The goal of the digital twin will be to monitor the health and forecast the remaining useful life
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and computational approaches to understanding cell fate. This position is ideal for those excited about bridging biology with data science to develop innovative digital twin models for precision