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project focused on sustainable polymer synthesis from CO₂. The researcher will develop and apply computational and AI-based methods, including high-throughput quantum chemistry and machine learning
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energy-innovation technologies. Applying catalysis and reaction-engineering approaches, the role targets low-carbon fuel pathways—such as hydrogen, ammonia, synthetic and electro-fuels, sustainable
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
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About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST
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of immune dysfunction in order to better inform diagnosis and treatment. A one-year post, with a possible extension to two years depending on availability of funds and sustained excellence in meeting the