Estimating the Topology of Low-Dimensional Data Using Deep Neural Networks
Closing Date: 30 April 2021Apply Now
This project will expand on the superhuman visual capabilities of deep neural networks to allow us to analyse the topology of 3- and 4-dimensional manifolds. While these spaces still count as low-dimensional, 4-dimensional manifolds typically are beyond human visual comprehension. The topology of a manifold describes its essential properties such as the number of connected components, holes, tunnels and cavities of various dimensions. The aim of this project is to achieve a better understanding of these spaces and a computationally efficient approach that can be used for their analysis in real-world applications.
The PhD candidate(s) will be part of a small team of researchers who will utilise concepts and techniques from computational topology, visualisation and deep neural networks. A significant component of the research task is the generation of simulated data. Another component is the design and training of deep neural networks where existing libraries can be combined with new implementations.
Training can be conducted using the local DGX station. Real-world applications may be considered in areas such as material science, medical imaging, dynamical systems and minerals or resources analysis.
PhD Scholarship details
Funding: $28,092 per annum (2020 rate) indexed annually. For a PhD candidate, the living allowance scholarship is for 3.5 years and the tuition fee scholarship is for four years. Scholarships also include up to $1,500 relocation allowance and Overseas Student Health Cover at single rate, for an international candidate.
Supervisor: Stephan Chalup
Available to: Domestic and International students
Candidates with background and interest in relevant areas of computing or mathematics and related disciplines will be considered.
The applicants will need to meet the minimum eligibility criteria for admission.
Interested applicants should send an email expressing their interest along with scanned copies of their academic transcripts, CV, a brief statement of their research interests and a proposal that specifically links them to the research project.
Please send the email expressing interest to Stephan.Chalup@newcastle.edu.au by 5pm on 30 April 2021.
Applications Close 30 April 2021 Apply Now
|Phone||+61 2 492 16080|
PhD and Research MastersFind out more