Research Opportunities in Magnetic Sensing
This project combines the strengths of industry and academia to leverage world-class developments in quantum sensing to meet emerging threats to Australia's National Security. Magnetic sensing represents a new frontier in surveillance and reconnaissance for Defence in underwater and littoral environments.
The challenge is to discriminate the magnetic signature from a threat in a complex magnetic environment that can be dominated by platform and geomagnetic noise. The objective of this project is to explore how Physics-Informed Neural Networks (PINNs) could enhance the detection, classification, and interpretation of weak and noisy signals in complex environments.
About the Position
We are seeking a motivated and experienced Postdoctoral Research Fellow B to undertake research in the field of physics-informed neural networks for magnetic sensing.
The successful candidate will have a PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. They will also require experience in programming languages such as MATLAB, Python, C++ or other relevant language and experience in deep neural networks.
* Experience and demonstratable knowledge in deep learning, transformer networks, and implicit neural functions.
* Strong math skills in matrix calculus, and the foundational aspects of modern deep learning.
* An outstanding publication record in top-tier machine learning and/or computer vision conferences or journals, commensurate with experience and opportunity.
The ideal candidate will also have a strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners.
Benefits
The University offers a uniquely rewarding workplace, with opportunities for professional development and growth. We offer a competitive salary package, as well as flexible working arrangements and access to high-quality facilities and resources.
Our staff values include integrity, respect, collegiality, excellence, and discovery. We believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge, and capability of all our staff.