Are you experienced in computational modelling of complex flows for materials technology and ceramic coatings. Do you want to join a world class multidisciplinary team with industry partners. Are you looking for a new and exciting challenge to develop innovative digital tools combining CFD and machine learning to reduce manufacturing-induced deficiencies of ceramics.

We have a vacancy for an enthusiastic researcher with expertise in computational fluid dynamics (CFD), complex (non-Newtonian) flows, and machine learning knowledge to work with us in the Institute of Design, Robotics and Manufacturing (School of Mechanical Engineering, University of Leeds) and a local industry partner.

You will lead work on investigating and optimising the influence of compositional change, temperature, and humidity on the rheological behaviour of a ceramic slurry using CFD. Collaborating with other colleagues and the industrial partner, you will be defining a process window for the ma...