Open Research Fellow Position

Estimating the Topology of Low-Dimensional Data

Abstract: This project aims at analysing the topology of 2-, 3- or 
4-dimensional manifolds associated with real data or in simulation. While these 
spaces count as low-dimensional, they can be beyond human visual comprehension 
if they are sufficiently complex. The topology of manifolds describes their 
essential properties such as the number of connected components, holes, tunnels 
and cavities of various dimensions. Traditional methods from computational 
topology can fail in large practical applications due to computational 
restrictions. This project investigates approximations or alternatives that 
potentially can open new doors to data analysis in material science, medical 
imaging, dynamical systems and other applications.

Project duration: up to 12 months full-time or part-time, starting as soon as 
possible.

Location: University of Newcastle or alternatively remote work from within 
Australia.

Salary level: Academic A based on experience and availability.

Possible criteria:

  *   Demonstrated excellence in research

  *   Background in one or more areas such as machine learning, topology, 
mathematics, physics, statistics, material science, medical imaging, 
nano-structures, time series, video analysis, computer graphics, visualisation
  *   Good programming skills
  *   Good mathematical skills

How to apply: Please send me

  *   Resume including research track record.
  *   Availability and visa status if applicable

This project is part of ARC Discovery Project DP210103304.

For questions please contact 
stephan.cha...@newcastle.edu.au<mailto:stephan.cha...@newcastle.edu.au>

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Professor Stephan Chalup
School of Information and Physical Sciences
The University of Newcastle
Callaghan NSW 2308, Australia
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