Project DescriptionThe University of Technology Sydney and Navantia Australia Pty Ltd. have a scholarship from the National Industry PhD Program available for a PhD student to study in the field of Computer vision and algorithmic visual decomposition for autonomous vehicles.Project Title: Supporting Autonomous Landing Craft Operations: Situation-Aware Unmanned Surface Vehicle (USV) Navigation Through Multi-View Representation LearningTo develop a robust navigation system for ocean and littoral environment unmanned surface vehicles (USVs), enabling them to detect a wide range of objects and obstacles collaboratively.
This system will operate in real-time under diverse weather and sea conditions, allowing USVs to swiftly determine optimal escape paths or speeds for efficient and safe navigation in congested waters and open seas.Navantia has recognised the potential of autonomous vehicles operating in a coordinated fashion to increase the safety, efficiency, and effectiveness of landing operations.
Dynamically gathering and interpreting information is a critical component of this, constituting the USV's vision and allowing for rapid adaptation.We expect this project to explore several existing and novel computer vision techniques, converging on a comprehensive autonomous vision system operable in poor landing conditions such as haze, rain and darkness, whilst simultaneously retaining the ability to classify targets and threats during procedure.Project AimsAround the world and especially in defence, there is intense demand for optimising the way autonomous vehicles sense and explore their complex, real-world environments.The problem is that difficult littoral environments are extremely challenging to navigate even for modern crewed vehicles supplemented with cutting edge sensory data.
This project aims to develop a comprehensive visual system for autonomous vehicles to effectively navigate through rough sea waves, unpredictably moving obstacles, diverse speeds, and adverse weather conditions.
This project would achieve that by exploring multiple innovative computer vision techniques to create a comprehensive system solution that fulfils these criteria.Further research into navigating these convoluted environments, we can revolutionise not only the employment of USVs in defence but across the technological sector.Further, the PhD candidate will have access to resources and facilities to support their research, such as information and guidance from their industry partner (Navantia Australia) supervisor, access to journals and scientific papers through the university library, and access to university facilities, equipment, and other resources to facilitate their research.
The candidate will also receive guidance from university supervisors.
Candidates will get access to materials and resources related to the practical scenario in industry and defence applications from the industry partner.
This will help the candidate gain a better understanding of the research problems and practical challenges, as well as how the results of their research can impact the future of Australian defence capabilities.Navantia Australia will provide financial and logistical support to the PhD candidate to enable them to study and work concurrently.
This support will allow the candidate to focus on their research without having to worry about financial or logistical constraints.
The company is confident that the candidate will not only benefit from the PhD but will also make significant long-term contributions to the company.The candidate will be upskilled in both technical and research capabilities through the project.
The technical skills that the candidate will be gaining will include software skills, simulation and verification skills and system integration skills.
The research skills that the candidate will be gaining will include mathematical modelling, optimisation, and research innovation.
All will contribute to the candidate's career development and long-term employment.Applicants must be Australian Citizens or Citizens of the United Kingdom, USA, Canada or Recent Zealand.The ideal applicant has a strong robotics background, with extensive past work in computer vision and signal decomposition and a research focused Masters Degree or Honours level Bachelor degree in relevant fields.
Ideally, they have already touched on coordinated autonomous systems and synthesis of live information from multiple sensors, and has the necessary machine-learning and technical background for image recognition and processing.
They should be comfortable operating with large datasets, algorithms and training models to accomplish this.QualificationsAustralian Citizens or Citizens of the United Kingdom, USA, Canada or New Zealand.Strong robotics background with experience in computer vision and signal decomposition.Research-focused Masters Degree or Honours level Bachelor degree in relevant fields; experience with coordinated autonomous systems and multi-sensor data fusion is preferred.Experience with machine learning, image recognition, and processing; comfortable working with large datasets and training models.Note: This description reflects the project and candidate requirements provided.
It does not include unrelated job insights or extraneous sections.
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📌 Industry Linked Postgraduate Position
🏢 NAVANTIA AUSTRALIA
📍 New South Wales