Research
The Wellington Faculty of Engineering is host to world-leading researchers across many exciting areas of high-tech engineering and science.
Our world-leading research is undertaken in a dozen groups within the School of Engineering and Computer Science, the Computational Media Innovation Centre, and the Robinson Research Institute.
Research at the School of Engineering and Computer Science
Staff and postgraduate students in the School of Mathematics and Statistics collaborate in cross-disciplinary research projects across a range of subjects.
Research at the School of Mathematics and Statistics
Staff and postgraduate students in the School of Mathematics and Statistics collaborate in cross-disciplinary research projects across a range of subjects.
Research at Paihau—Robinson Research Institute
The Robinson does industry-relevant research including robotics, magnetic sensors, and superconductor technologies for MRI scans and ultra-efficient aircraft.
Research at the Computational Media Innovation Centre (CMIC)
CMIC's research expertise spans computational science, including computer graphics, VR/AR, computer vision, machine learning, and applied mathematics.
Research at the Centre of Data Science and Artificial Intelligence
We offer expertise across several technology themes in the AI and machine learning space, with a wide variety of applications to real-world industries.
Research collaborations
Research groups within the Faculty of Engineering work closely with each other, with researchers in other parts of the University, and also have well-established collaborations with other research institutions and industries worldwide. We welcome your interest in areas of mutual benefit.
Technical and Research reports
The School of Engineering and Computer Science publishes a number of non-peer reviewed technical reports that describe process, progress, or results of technical and scientific research carried out by our researchers. These reports can be found on the School's wiki site.
The School of Mathematics and Statistics publishes a Research Report Series.
Equipment database
Our online equipment database showcases a selection of the specialised equipment and facilities owned and operated by the University. You can explore them using our search tool.