Advanced Optimisation for Small and Long-Range Object Detection and Tracking in Maritime Environments
Engineering, IT, Mathematics and Statistics
PLEASE NOTE
- Due to the sensitivity and security of this project, students must have Australian Citizenship to apply.
- This research internship is funded in partnership with Defence Science Institute.
ABOUT THE INDUSTRY PARTNER
Arkeus specializes in rapid design, innovation, development and fabrication of autonomous optical capabilities – designed to deliver transformative effects for Search, Intelligence, Surveillance and Reconnaissance (SISR).
WHAT’S IN IT FOR YOU?
This project offers a unique opportunity for students to collaborate with experts in the field of Computer Vision. By joining our team, students will gain access to high-resolution imagery data and contribute to the development of both hardware (HW) and software (SW) solutions that address intriguing challenges in the realm of autonomous optical systems.c
RESEARCH TO BE CONDUCTED
As part of this project, students will leverage high-resolution full-motion imagery to develop sophisticated computer vision and machine learning algorithms. The primary goal is to detect and track objects at long range within the challenging maritime environment. Students will play a crucial role in guiding the collection of specific data needed to thoroughly test and refine the developed algorithms.
SKILLS WISH LIST
If you’re a postgraduate research student and meet some or all the below we want to hear from you. We strongly encourage women, indigenous and disadvantaged candidates to apply:
- Computer Vision Understanding: Proficient in the principles and applications of computer vision, with a strong understanding of modern methods for detection, segmentation, and classification.
- Programming Proficiency: Skilled in programming languages such as Python, C++, or similar, with ability and enthusiasm to learn new languages when required.
- Algorithm Development: Demonstrated ability to design, develop, and optimize classical computer vision algorithms for object detection and tracking.
- Data Collection and Analysis: Experience in guiding and conducting specific data collection activities, along with the ability to analyze and interpret the collected data to refine algorithms.
- Collaborative Team Player: Strong teamwork and communication skills to effectively collaborate with experts in computer vision and contribute to a dynamic research and development environment.
- Innovative Thinking: A creative and innovative approach to problem-solving, coupled with a passion for contributing to transformative advancements in autonomous optical capabilities.
- Adaptability: Ability to adapt to evolving project requirements and stay current with the latest advancements in computer vision and related fields.
RESEARCH OUTCOMES
Upon successful completion of the research, the expected outcome is a proven and qualified algorithm capable of accurately detecting and tracking objects at long range in maritime environments. This achievement will contribute significantly to the advancement of autonomous optical capabilities, enhancing our ability to address critical challenges in Search, Intelligence, Surveillance, and Reconnaissance (SISR).
ADDITIONAL DETAILS
The intern will receive $3,000 per month of the internship, usually in the form of scholarship payments.
It is expected that the intern will primarily undertake this research project during regular business hours and maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
Please note, applications are reviewed regularly and this internship may be filled prior to the advertised closing date if a suitable applicant is identified. Early submissions are encouraged.
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