Postdoctoral Fellow in Mathematics

Location
Randwick, Australia
Posted
20 Feb 2018
End of advertisement period
31 Mar 2018
Ref
61147
Contract Type
Fixed Term
Hours
Full Time
  • One of Australia’s leading research & teaching universities
  • Vibrant campus life with a strong sense of community & inclusion
  • Enjoy a career that makes a difference by collaborating & learning from the best

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

Applications are sought for a TWO Postdoctoral Fellow positions in Computational Mathematics in the School of Mathematics and Statistics, UNSW Sydney.

About the roles 

  • A$89K – A$96K per year (plus up to 17% superannuation and leave loading).
  • Full-time position for a fixed term of up to 2 years.
  • No teaching duty is required 

These positions are funded by Australian Research Council Discovery Project Grants.  

About the projects:

The core of Dr. Q Thong Le Gia and Professor Ian Sloan’s joint project is to advance uncertainty quantification theory and computational methods for problems involve uncertainty on spheres and spherical shells.

A/Professor Frances Kuo and Professor Ian Sloan’s joint project is titled “Towards a science of high dimensional computation”. This project aims to establish scientifically precise methods for high dimensional problems – methods that are mathematically rigorous, empirically tested, and carefully tailored to specific modern applications across physics, environment, and finance.

The successful applicant will play a leading role within one of these research projects and is expected to publish in leading international journals.

About you

To be successful in this role, you will have:

  • For the Le Gia and Sloan project: PhD in Mathematics, or be close to completing one, in computational mathematics or stochastic analysis.
  • For the Kuo and Sloan project:  PhD in Mathematics, or be close to completing one, in computational mathematics, or computational or statistical physics, or Bayesian analysis. Knowledge in quasi-Monte Carlo methods and/or finite element analysis is highly desirable, though not essential
  • Strong research and publication track record (relative to career opportunity)
  • Demonstrated high level analytical and problem-solving skills

Applicants may be required to undergo pre-employment checks prior to appointment to this role. Please address the selection criteria listed within the position descriptions in your application. Please indicate whether you want to be considered for both positions, or have a preference for one or the other. Please note that successful candidates who wish to be considered for both roles will only need to attend one interview.

Please apply online - applications will not be accepted if sent directly to the contacts listed.

Contact:

Professor Ian Sloan
i.sloan@unsw.edu.au

For specific queries on either project please contact

Dr. Q. Thong Le Gia
qlegia@unsw.edu.au

Associate Professor Frances Kuo
f.kuo@unsw.edu.au

Applications close: 31st March 2018