Current positioning solutions based on machine learning cannot achieve enough performance while retaining sufficient provability and explainability characteristics for their transformative use in industry and society. A new class of ultra-compact, high-performance biologically inspired neural network approaches can potentially provide the required level of performance and a sufficiently compact network structure to be interrogated and audited for validation and verification.
This is a research fellow role as part of an Australian Research Council Laureate Fellowship. Read more here.
To express interest in this role, please e-mail email@example.com with your CV.