The PhD is a globally recognised postgraduate research degree and the highest level of degree you can achieve. PhD students are critical, curious, creative thinkers who undertake original research over at least 3 years. The University of Auckland PhD is a globally recognised postgraduate research degree, available in over 100 different subjects. Candidates will undertake independent and original research, supervised by academic experts and research leaders. During your doctoral studies, you will have opportunities to expand and develop your personal, professional and academic skills. Our doctoral candidates present their work at local and international conferences, and are encouraged to network and collaborate with a wide range of experts in their research field. All of our doctoral policies and guidelines governing PhD study, including the PhD statute, are available in Doctoral policies and guidelines. If you are looking for PhD study in a subject not listed here, it may be available under a different title.
Pursuing a PhD at our University gives you access to a high-calibre research community – you may have the opportunity to publish papers, attend international conferences and develop your network in academia and industry. We welcome research proposals in topics relating to our key areas, including: Embedded systems, with emphasis on hardwaresoftware design, real-time systems, low-power design, application-specific processors, system-level languages and compilers, ubiquitous and wearable computing, smart sensors, medical devices, intelligent transportation systems, the Internet of Things, and hardware acceleration of artificial neural networks Robotics, focusing on areas such as human-robot interaction, software systems and tools, and applications in essential sectors such as healthcare and agriculture Digital health: modelling biological cells, pacemaker testing, and emulating human organs on Field Programmable Gate Arrays Ultra high speed computations: advanced techniques for processing high bandwith datastreams and big data Software methodologies: Agile and Lean techniques, data-mining, cloud computing, and scalable machine learning Applied Deep Learning, focusing on impaired speech processing and recognition systems, and intelligent health diagnositc and screening systems
