New Zealand innovation headed for space
A research collaboration between Wellington Faculty of Engineering’s Robinson Research Institute and USNW Canberra Space will accelerate the adoption of novel technology for use in satellites.
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Study with us to gain in-demand skills and learn from experts who share your passion for developing technology that can change the world. As a graduate, you could build the robots of the future, create immersive virtual reality worlds, protect people and organisations from data theft, or bring sustainable energy options to communities around the world.
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Learn how to apply the hacker mindset and forensic techniques to prevent cybercrime.
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The world needs cleaner and more sustainable energy options. The University offers a range of study options to gain skills in renewable energy systems.
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Developing zero-carbon aquaculture through data science
A collaboration led by Victoria University of Wellington has received $13 million in funding to help New Zealand transition to a zero-carbon society by applying data science to the aquaculture industry.
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The language of code: type checking for Wyvern
Even for the non-technical, many of the characteristics of programming work are as most of us imagine them: precise, painstaking, and utterly dependent on accuracy. One of the ways programmers ensure this accuracy is through ‘type checkers’—tools that check for errors in code in the same way that we might use a spellcheck in a Microsoft Word document. How, though, do we make sure code is consistent if type checkers aren’t reliable? School of Engineering and Computer Science PhD candidate Julian Mackay’s research examines exactly this issue.
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Robinson Research Institute ships New Zealand's strongest magnet to aid clean energy
Wellington Faculty of Engineering’s Robinson Research Institute recently shipped the highest strength magnet ever constructed in New Zealand to the United States as part of a mission to deliver clean, limitless fusion power to the world.
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Non-invasive Polarimetric diagnostics of biological tissues aided by Artificial Neural Networks
Speaker: Dr. Tatiana Novikova, Professor Mike Eccles, Professor Vladislav V. Yakovlev