Positions Available: Two Postdoctoral Fellowships

Date:

Sunday, 25th February 2018

Postdoctoral Fellow in Computational Mathematics

Faculty of Science
School of Mathematics & Statistics

Ref 61147

• 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.

• 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.

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.

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:

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