Cranfield University invites applications for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition to low-carbon, efficient transport systems and AI-enabled circular manufacturing supply chains.
You will apply computational and AI approaches to analyse scenarios, optimising operations, capacity, and investment sequencing while balancing cost and emissions.
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AI-Driven Modelling & Optimisation Fellow in Cranfield employer: Times Higher Education
Liverpool John Moores University (LJMU) is an exceptional employer, deeply embedded in the vibrant Liverpool community and dedicated to improving lives through education and research. As a part-time Face Lab Research Assistant, you will benefit from a supportive work culture that prioritises professional development, offers generous annual leave, and promotes family-friendly policies. Joining LJMU means being part of an innovative team that values diversity and fosters growth, making it an ideal place for those looking to make a meaningful impact in their field.
