We are currently seeking expressions of interest from anyone considering postgraduate study at master's or doctoral level in a range of areas within engineering.
Auckland University of Technology (AUT), New Zealand is a young and dynamic university that offers a stimulating teaching and research environment, with strong connections to business and industry. AUT has a mission to promote excellent research that inspires curiosity, advances knowledge and benefits communities, with a strong focus on applied and interdisciplinary research.
Biomechanics of bone support involving computational modelling of brace system with bone and soft tissue interaction. A background in biomedical engineering, stress analysis and design is essential. Knowledge of embedded systems, artificial intelligence and signal processing is desirable.
This project will form part of a larger research programme which aims to deliver multiple, highly novel technologies to make possible easy-to-use, long-term, wearable sensors. In particular the programme has a focus on EEG, EMG and ECG biopotential sensing. The research programme is supported by a large MBIE funded grant and involves several NZ research and commercial partners
This project is part of a larger research programme which aims to deliver sustainable and novel technologies for energy storage applications. In particular, the project focuses on using native New Zealand plant fibre for its development. The research programme, led by A/Prof Xiaowen Yuan, is supported by a MBIE funded grant and involves national and international researchers, as well as industry partners.
This project is part of a larger research programme which aims to deliver sustainable and novel technologies for energy storage applications. This research aims to develop light-weight, flexible and high performance energy storage devices. This research programme, led by A/Prof Xiaowen Yuan, is supported by a MBIE funded grant and involves national and international researchers, as well as industry partners.
This research will explore methods in processing NZ pant fibres, including hemp fibres and flax fibres (harakeke) for application in smart textiles. The team, led by A/Prof Xiaowen Yuan, aims to develop a technique sustainable and friendly for the environment. Essentially, we are looking for a relatively chemical free process to turn raw fibre natural white, modify fibre diameter and fibre length; for PhD research, further to tailor the fibre properties and manufacture nanocomposites for healthcare clothing. We look forward to finding a technically, environmentally and commercially acceptable solution. Bioenzymes will be used along with some mechanical, physical and chemical methods.
This research aims to develop a novel, simple and efficient method to fabricate a 3D carbon-based network with super hydrophobicity, strong absorbability and outstanding recyclability. The key work focuses on the architecture design, fabrication and functionalisation of the selected biomaterials, as well as conformal coating of other hydrophobic materials. The successful candidate will be working with A/Prof. Xiaowen Yuan’s team.
This project is part of a research collaboration with industry which aims to deliver a minimally invasive medical device that helps to avoid permanent injury or paralysis caused by low velocity injury. Low velocity injuries tend to occur during activities like rugby, trampolining, diving, and play-fighting. Current treatment of these injuries involves stabilizing the neck in traction while waiting for surgery to realign the spine.
This project is part of a research collaboration with industry which aims to deliver a AUV based on the biomechanics of aquatic animals. AUVs have been used in different applications: to make detailed maps of the seafloor, bathymetric surveys, pipeline inspection, ocean parameter research, Intelligence, surveillance, and reconnaissance, etc. The aim of this project is to further develop an existing AUV prototype and to compare its performance against a conventional AUV or ROV propulsion system with respect to noise reduction, energy consumption etc.
In this project, we want to develop a proof-of-concept wearable heart rate monitor (HRM) using photoplethysmography (PPG) sensors. The project will focus on the development and implementation of algorithms that can automatically tune the PPG sensor to optimise HRM signals, regardless of skin colour and tone. We will also investigate the feasibility of using an array of 3 sensors to improve HRM accuracy.
Investigate novel, solid state (non-mechanical) methods for steering powerful beams of light, and determine how these mechanisms can be integrated into LED flood lights used in harsh environments. This project will involve both a theoretical study of solid-state beam steering methods, with some practical experimentation to validate results.
This project seeks to develop and integrate fabric based physiological sensors to measure neural activity (EEG), facial muscle activity (EMG) and eye activity (EOG) into head mounted Augmented Reality (AR) and Virtual Reality (VR) displays. These sensors will enable the development of a range of different AR/VR applications that can recognise and respond to users’ physiological activity.
This research forms part of the larger MBIE funded research programme which aims to deliver novel technologies for long-term, ambulatory and wearable biopotential monitoring. Particular focus will be on quantifying the effect of skin’s electrical response and its variations during ambulatory biopotential measurements.
The project aims to design a dynamic resource allocation algorithm, considering both safety-related and non-safety related services in Intelligent Transport Systems (ITS) to improve frequency reuse and provide Ultra-Reliable Low-Latency Communications (URLLC). The work will be in collaborations with a large telecommunications company.
This project will investigate precision agriculture as a use case of a 5G network with edge computing capabilities. From the perspective of the network operator, it is imperative to ensure not only network resources, but also computing and storage resources, are being provisioned appropriately to meet the service requirements of the farming businesses. This project will focus on developing solutions for network operator to support agile and demand responsive orchestration of resources from the 5G network and edge computing infrastructures to enable precision agriculture.
This project will form part of a larger research programme which aims to deliver novel computational AI technologies and predictive modelling techniques for early detection of mental illness using a combination behavioural, cognitive, and biomolecular data. The programme has a focus on high-dimensional, multi-modal, and heterogeneous data types: Genome-Wide Association, RNA-sequencing, gene expression, proteomic profiling, cognitive, and behavioural data.
This project will investigate the practicality of a domestic water heating system that combines an electric storage water heater using off-peak electricity, with a gas instantaneous auxiliary.
The Defence Technology Agency (DTA) is interested in supporting a student who intends to enrol in a research Masters or PhD in 2021 to work in computer vision and deep learning. The project is focused on real-time vision tracking with re-detection capabilities. Professor Edmund Lai will be supervising the project and Dr Jing (Julia) Ma will be the co-supervisor.
Knowledge Graphs (KGs) have found many applications in industry and academic settings, which in turn, have motivated considerable research efforts towards large-scale information extraction from a variety of sources. In this project, we aim to construct high-quality domain-specific KGs from unstructured big data and explore hidden knowledge from the constructed KGs. This is an interdisciplinary research, including AI, NLP and network science.
Mobile robotic platforms such as USVs (Unmanned Surface Vessels) and UUVs (Unmanned Underwater Vehicles) used in offshore or open ocean aquaculture, rely on an on-board power supply (e.g., battery). This project aims to develop energy-optimal control schemes to allow a robotic platform to achieve its operation objectives with minimum energy consumption.
Surgisplint Ltd is an Auckland based medical device company that has developed and manufactures a plastic wrist orthosis that replaces the need for traditional plaster or fiberglass cast after a broken wrist (distal radius fracture) that sell both locally and internationally. The company is seeking a capable, motivated, and enthusiastic postgraduate master student to assist in a project embedding smart sensor technology into their Zero-Cast Wx wrist orthosis system. The project outcome expected is a second generation fully functional prototype system that can be used to demonstrate the technology. The student will work within the company and AUT BioDesign Lab research and development partnership team.
Surgisplint Ltd is an Auckland based medical device company that has developed and manufactures a plastic wrist orthosis that replaces the need for traditional plaster or fiberglass cast after a broken wrist (distal radius fracture) that sell both locally and internationally. The company is seeking a capable, motivated, and enthusiastic postgraduate master student to assist in a project embedding smart sensor technology into their Zero-Cast Wx wrist orthosis system. The project outcome expected is an android/IOS user interface that integrates with the revised brace smart hardware/software. The student will work within the company and AUT BioDesign Lab research and development partnership team.
As part of Government-funded research, we have developed a novel concept for accurate measurement of biopotential (e.g., electroencephalogram (EEG)) signals). EEG are used to measure the activity of the brain and have application ranging from health diagnostics to human machine interfaces.
An Auckland-based technology company has developed an innovative proof-of-concept mechanical air filtration system that has multiple applications. The current priority is to develop a detailed understanding of critical operational parameters that affect filtration efficiency in the context of filtering air contaminated with biological matter in avian environments. This project will entail working within a larger scientific research group and company collaboration, applying engineering skills of computational fluid dynamics (CFD) modelling validated by first principles and practical testing. The company is seeking a capable, motivated, and enthusiastic postgraduate doctoral student to work with their technology development team to assist in this project. The project outcome expected is a fully functional air biological filtration system that can be implemented within both man-made and natural bird nesting environments. The student will be expected to work within the company and AUT BioDesign Lab research and development partnership team.
This research aims to develop a novel, simple and efficient method to extract fruit quality information, while considering application in a practical setting. Key information will be extracted from devices in a busy agricultural environment, before being sent to a cloud environment for analysis. The research must be deployed in this cloud environment to make intelligent estimations based on the incoming data.