[robotics-worldwide] [jobs] PhD Studentship: deep-learning assisted underwater robotic navigation, James Cook University, Australia
The Australian Institute of Marine Science (AIMS) and James Cook University (JCU) in Townsville, Australia are looking for an excellent candidate to undertake a PhD under the AIMS@JCU PhD scholarship programme, for a project relating to deep-learning assisted underwater robotic navigation.
These competitive scholarships are open to domestic and international research applicants and provide the following:
*Stipend for 4 years, plus tuition fees if applicable
*Additional funding support for professional development in quantitative methods appropriate to the project
*Additional $5,000 per year as stipend top-up or project costs (as agreed between student and supervisors)
The ideal candidate will have a strong academic background in computer science, mathematics, engineering or a closely-related numerical discipline. They will have strong mathematical skills and demonstrated proficiency with a programming language. Knowledge of artificial intelligence and/or robotics techniques is highly desirable.
Marine robotics faces many unique challenges due to the complex and dynamic operating environment. The highly chaotic and cluttered nature of reef sites, the lack of a global positioning system underwater, reduced visibility, and imperfections in the obtained sensor data all present difficulties when designing navigation and control algorithms for autonomous underwater vehicles(AUVs). With the recent advancements in machine learning, in particular large artificial neural networks with many layers (deep learning) there is much potential to enhance the robot’s capabilities beyond those achievable with present methods. The key idea of this project is to replace individual, “traditional” modules in robotics pipelines, with deep learning based modules in order to improve the platform’s performance and reliability.
The successful applicant will conduct highly experimental research on artificial intelligence and machine learning, and contribute to the conservation of Australia’s coral reefs. The candidate will have access to resources at AIMS, with opportunities to join trials and scientific surveys at sea using state-of-the-art robotic platforms.