Mathematics of Computation and Optimisation
Special Interest Group of the AustMS
Applications close at 11:30pm on Monday 6 December, with interviews the week of Monday 13 December.
3 x continuing Teaching Research Lecturers (Academic Level B) in one or more of applied statistics, applied optimisation, classical applied mathematical modelling.
More here
1 x 12-month Teaching Focussed Lecturer (Academic Level A or B). Note that Level As don’t need a PhD to apply.
More here
The team is currently developing an algorithm to solve the aircraft schedule recovery problem. They are integrating this algorithm with the current flight operations tool for Qantas.
The team is looking for an optimization engineer in Sydney.
More details are
The University of Newcastle, Australia, is looking for two lecturers in Data Science and one in Mathematics. While one of the Data Science positions description aims more at computer science, the other one could fit an applied mathematician working in optimisation/machine learning, as could the Mathematics position.
Full listing of job ads is here: https://uniofnewcastle.secure.force.com/academicext.
Closing date is 27 October 2021 for the Data Science positions and 28 October 2021 11 November 2021 for the Mathematics position.
The School of Mathematics and Statistics at the University of Melbourne seeks applicants for the following four positions (2 continuing, 2 fixed term). Applications close on November 7th, 2021. For further details, refer to the position descriptions in the links below.
https://jobs.unimelb.edu.au/en/job/906390/lecturer-senior-lecturer-in-statistics-data-science
https://jobs.unimelb.edu.au/en/job/906389/lecturer-senior-lecturer-in-applied-mathematics
https://jobs.unimelb.edu.au/en/job/906388/lecturer-in-statistics-data-science
https://jobs.unimelb.edu.au/en/job/906383/lecturer-in-applied-mathematics
Curtin has two optimisation positions open:
level D/E with particular emphasis on industry engagement
and
The School of Information Technology at Deakin delivers courses in information technology, computer science, data analytics, cyber security and software engineering to provide our graduates with a sound platform for the diverse employment opportunities that will exist in the future.
The Research Fellow, Decision Analytics will be responsible for researching, publishing and contributing to the research project in computational methodologies for complex and uncertain, multi-criteria, multi-objective combinatorial optimization problems.
This is a great opportunity to gain excellent research training and hands-on industry experience through working collaboratively and closely with academic collaborators and industry partners.
https://careers.pageuppeople.com/949/cw/en/job/511749/research-fellow-decision-analytics
The McKenzie Postdoctoral Fellowships Program is a University of Melbourne scheme. The fellowship funds a three year appointment commencing at Level A.6 in the University salary band plus superannuation. Fellows will receive an additional $25,000 to be spent on project costs over the term of their Fellowship.
The EOI deadline is July 5th 2021, and the full application deadline is August 23rd 2021.
Further details:
The Research Fellow is expected to conduct world-class research and provide training for research students working in industrial optimisation as a key appointee in a newly established ARC Training Centre in Optimisation Technologies, Integrated Methodologies and Applications (OPTIMA). The research program involves a focus on model-based and black-box optimisation methodologies of relevance to a broad range of industry partner optimisation challenges. A
multidisciplinary approach is expected, drawing from techniques developed in mathematics, computer science, statistics, engineering, and economics.
For more details, please refer to
http://jobs.unimelb.edu.au/caw/en/job/904801/optima-postdoctoral-research-fellow
A position of Postdoctoral Fellow is available at UNSW Sydney. The Postdoctoral Fellow will undertake collaborative and self-directed research on an ARC-funded Discovery Project. For more details and to apply please visit https://external-careers.jobs.unsw.edu.au/cw/en/job/502136/postdoctoral-fellow-computational-mathematics.
For more information please contact Thong Le Gia qlegia@unsw.edu.au or Ian Sloan i.sloan@unsw.edu.au.
Applications close July 6th, 2021
The Postdoctoral Fellow will undertake collaborative and self-directed research on an ARC-funded Discovery Project titled “Data-driven multistage robust optimization”. The primary research goals are to make a major contribution to the understanding of optimization in the face of data uncertainty and to develop mathematical principles for broad classes of multi-stage robust optimization problems, to design associated data-driven numerical methods to find solutions to these problems, and to provide an advanced optimization framework to solve a wide range of real-life optimization models of multi-stage technical decision-making under uncertain environments.
For more information, please refer to