博士学位是全球认可的研究生研究学位，是您可以获得的最高学位。博士生是批判，好奇，有创造力的思想家，他们从事至少3年的原创研究。奥克兰大学博士学位是全球公认的研究生研究学位，涉及100多个不同学科。候选人将在学术专家和研究领导者的指导下进行独立而原始的研究。通过您的博士课程，以及在您指导下进行的原始研究，您将有机会预科和发展个人和专业技能。博士候选人在本地和国际会议上介绍他们的工作，并鼓励他们与研究领域的众多专家建立联系并开展合作。奥克兰大学博士学位是三至四年的全日制高级研究学位。进入博士学位课程后，您将被
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