Industry collaboration

We work with organisations that need process engineering done well: models that hold up against plant data, optimisation ideas that survive the real constraints of operations, and researchers who know the difference between a textbook assumption and a working one.

Most relationships begin with a conversation. You describe the problem and what a useful result would look like. We say whether the lab is a good fit, what scale of engagement makes sense, and where we have done similar work before. Projects are shaped by the technical question, not by a fixed template.

Partners help define the technical scope, contribute operating context and data where appropriate, and support the work through a sponsorship or collaboration agreement. Expectations around capabilities, intellectual property, and publication are agreed before anyone commits time.

Students carry much of the hands-on work, supervised by faculty. Collaboration is therefore also a path to training computational engineers who understand both fundamentals and practice, and who may later join your organisation.

Where this work applies

Industrial collaboration in the lab most often falls into one or more of these areas. The list is illustrative, not exhaustive.

• Chemicals, fertilisers, and mineral processing
• Oil and gas, energy infrastructure, and industrial gases
• Mining and metals
• Multiphase flows, fluidised systems, reactors, and separations
• Computational modelling (CFD, DEM, multiscale), digital approaches, and process optimisation