The PhD Scholarship in Mathematical Optimization at the University of Sydney

The PhD Scholarship in Mathematical Optimization at the University of Sydney will support an outstanding research student to undertake doctoral studies in mathematical optimization.

Potential research topics will be on mathematical optimization broadly defined, including theory and algorithms for optimization, stochastic programming, robust/distributionally robust optimization and data-driven optimization, with applications to machine learning, statistics, finance and economics.

The scholarship includes a living allowance of $37,207 AUD per annum and tuition for up to 3.5 years, with the possibility of a six-month extension subject to approval.

The scholarship recipient will join the Discipline of Business Analytics at the University of Sydney. The Discipline brings together researchers in the fields of optimization, operations management, statistics, machine learning and econometrics. It is particularly suited for students with interests at the intersection of two or more of these fields.

Applicants are expected to have a Masters by research or Honours undergraduate degree. We invite applicants to send the following material via email to Dr Nam Ho-Nguyen (nam.ho-nguyen@sydney.edu.au):

  • An up-to-date CV/resume, including contact details of two academic referees. We will notify applicants if we decide to contact referees.
  • Copies of academic transcripts.
  • (Optional) A short (2 page maximum) statement of purpose.

Forrest Fellowships

The Forrest Foundation is now accepting applications for Forrest Fellows. These Perth-based postdoctoral positions are highly competitive, equally prestigious, and pay for a fellow to embed in one of Perth’s universities. The foundation is particularly interested in candidates who are doing research with the potential to change the world for the better, and candidates with outreach experience.

Centre for Optimisation and Decision Science at Curtin University would be happy to embed such a scholar, and, as one of Australia’s leading optimisation research groups, offers exceptional alignment. Research Centre staff members include a Forrest PhD Fellow and a finalist for the postdoctoral fellowship, both of whom are happy to answer questions about the process. 

Information on this application round is available here.

Interested candidates are encouraged to contact Scott Lindstrom.

Research Fellow in Optimisation at UniMelb

  • Role type: Full-time/Fixed-term for 2 years
  • Faculty: Faculty of Science
  • Department/School: School of Mathematics and Statistics
  • Salary: Level A – $97,558 – $104,717 p.a. (PhD entry-level $97,558) p.a. plus 17% super
  • Applications close: 27 Mar 2023 11:55 PM AUS Eastern Daylight Time

Description: A two year fixed-term research fellow position is available in the School of Mathematics and Statistics at the University of Melbourne as part of the he Australian Research Council (ARC) funded research program Distributed Optimisation without Central Coordination (funded under the Discovery Program). Candidates with expertise in at least one of the following area are sought after: continuous optimisation, distributed optimisation, monotone operator splitting, nonsmooth and variational analysis, federated learning or a related area.

Link: https://jobs.unimelb.edu.au/en/job/911748/research-fellow-in-optimisation

9TH WORKSHOP ON HIGH-DIMENSIONAL APPROXIMATION (HDA2023)

The High-Dimensional Approximation (HDA) Workshop is a series of biennial international meetings covering current research on high-dimensional problems. This ninth workshop (HDA2023) will be held at ANU in Canberra.

HDA2023 will cover a range of topics central to modern high-dimensional approximation and their applications. Topics include, but are not limited to,

  • Nonlinear approximation
  • Numerical integration
  • Tensor decomposition
  • Sparsity-exploiting approximation
  • Sparse grid methods
  • Quasi-Monte Carlo methods
  • Polynomial chaos expansions
  • Discrepancy and dispersion theory
  • Dimensionality reduction
  • Uncertainty quantification
  • Reduced modelling
  • Inverse problems

More details: 9th Workshop on High-Dimensional Approximation (HDA2023) | ANU Mathematical Sciences Institute

MoCaO 2023 Election Results

Dear MoCaO members,

We now have the final results of the elections of the group’s executive members. The elected outcomes are as follows:

Webmaster: Nadia Sukhorukova 

Ordinary Members: Lindon Roberts and Guoyin Li

Because there was only one candidate for each of the remaining positions, they were automatically filled. They are as follows:

Optimisation Co-chair: Andrew Eberhard

Computation Co-chair: Quoc Thong Le Gia

Secretary: Scott Lindstrom       

Treasurer: Alex Kruger

A warm thank you to everyone who volunteered to serve.

–Scott B. Lindstrom (secretary)

Lecturer, Statistics and Cyber Security RMIT University

  • An opportunity now exists to join RMIT’s School of Science and contribute to the teaching and research growth within the Mathematical Sciences Discipline, and specifically within the fields of statistics and cyber security
  • 1 x Full time, ongoing appointment based in the City campus
  • Remuneration at Academic Level B ($102,474 – $121,690)

For further information about this position, please see Position Description link below or contact Professor Andrew Eberhard, Assistant AD – Mathematical Science at andy.eberhard@rmit.edu.au or Professor Asha Rao, Associate Dean – Mathematical Sciences at asha.rao@rmit.edu.au.

https://www.rmit.edu.au/content/dam/rmit/au/en/careers/position-descriptions/lecturer-statistics-and-cybersecurity.pdf

To Apply 

Please submit your CV, cover letter and separately address the Key Selection Criteria for this position by clicking on the ‘Apply’ link below for an RMIT External applicant:

https://rmit.wd3.myworkdayjobs.com/en-US/RMIT_Careers/job/Melbourne/Lecturer–Statistics-and-Cyber-Security_JR18084

Candidates are asked to specify level of the appointment they are applying for in the cover letter.

The University of Sydney: Lecturer (B) /Senior Lecturer (C)

The University of Sydney is welcoming applications for a Lecturer (B) /Senior Lecturer (C) in Applied Mathematics to join leading experts at the School of Mathematics and Statistics, within the Faculty of Science. We are one of the largest mathematical sciences schools in Australia, and the University of Sydney is the only Australian university to have received the highest rating of 5 out of 5 for research in the mathematical sciences in every Australian Research Council Excellence in Research for Australia assessment to date.

We are welcoming applicants from different research backgrounds who can bring their own research agenda, complementing the Schools’ current research foci, whilst benefiting from our supportive community of world-class mathematicians and statisticians. Applicants with expertise in computational mathematics or optimization are particularly encouraged to apply.

Applications close January 12, 2023 (AEDT)

Apply here: https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Lecturer-Senior-Lecturer-in-Applied-Mathematics_0098923-2

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