Cranfield University in Bedfordshire seeks a researcher to develop advanced modelling and optimisation methods for low-carbon transport systems and AI-enabled manufacturing supply chains.
You will collaborate with teams across simulation, digital twins, and data architectures to create decision-support tools that evaluate energy, emissions, costs, and resilience. This role focuses on impactful, policy-relevant transport and manufacturing research.
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Transport Optimisation & Digital Twin Research Fellow employer: Cranfield University
Cranfield University is an exceptional employer, offering a vibrant research environment that fosters innovation and collaboration in the field of sustainable energy. With a commitment to employee development, you will have access to cutting-edge resources and mentorship opportunities within the Hydrogen Integration Incubator, making it an ideal place for aspiring researchers to thrive and contribute to meaningful advancements in carbon-free technology.
