Cranfield University invites applications for a researcher to develop advanced modelling and optimisation methods supporting low‑carbon, efficient and resilient transport systems. You will work with colleagues across simulation, data architectures and digital twins to analyse scenarios and recommend optimal investment and operational decisions.
The role emphasises evidence‑based decision making, collaboration with industry partners, and publication in peer‑reviewed journals.
#J-18808-Ljbffr
Research Fellow: AI‑Driven Modelling & Optimisation for Transport in Cranfield 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.
