Lecturer or Senior Lecturer in Mathematics @Adelaide

Location: School of Computer and Mathematical Sciences, University of Adelaide
Employment Type: Full-time, Level B or C
Duration: 2-year appointment (convertible)
Remuneration: Level B ($107,276–$126,894) or Level C ($130,810–$150,431) + 17% superannuation
Closing Date: 24 September 2023

The School of Computer and Mathematical Sciences is seeking an outstanding individual, passionate about teaching, to support Haide College, its joint venture with Ocean University in Qingdao, China. In this education-focused role, you will be responsible for the delivery of a range of courses at all levels of the undergraduate mathematics curriculum with an emphasis on applied mathematics, statistics and data science. You will lead the implementation of innovative delivery modes through a combination of online teaching and regular teaching visits to China, to provide a global education for students in the joint program. The position is available from 1 December 2023.

How to apply

Learn more about this position and apply: click here.

Mathematical Modeller @Burnet Institute

Close date: 28 August 2023

Are you a talented researcher eager to undertake real-world mathematical modelling projects in infectious diseases and global health? Then this could be the role for you!

A unique opportunity exists for a Mathematical Modeller to join Burnet’s Modelling & Biostatistics team. You will be part of an innovative global team of experts that are developing and applying epidemiological and costing models around the world across a range of disease areas including COVID-19, HIV, TB, malaria, viral hepatitis, maternal and child health.

Modelling and analytical outputs will be provided to governments, policy makers, and other partners including the World Bank, Global Fund, and international health agencies, to improve health budget investment towards better decision-making and impact around the world.

In this role, you will:

  • Develop and apply mathematical models of key health and disease areas, using appropriate epidemiological, statistical, mathematical, and economic techniques.
  • Communicate with epidemiologists, public health experts, government officials, and global health and international aid agencies.
  • Undertake research projects with a high degree of autonomy.

Ideally, we are seeking a full-time appointment based in Melbourne, however we are open to part time arrangements (0.4 – 1.0 FTE) and fully remote working (from anywhere in Australia) with occasional travel to Melbourne. This is an initial 2-year contract with the possibility of extension. Flexibility to manage your own working hours will also be provided.

More details here.

Lecturer in Mathematics at University of Western Sydney

Position: Lecturer in Mathematics at Western Sydney University; School of Computer, Data and Mathematical Sciences
Duration: Permanent
Salary range: Level B
Closing date: 29 September 2023

Western Sydney University demonstrated its commitment to foundational science establishing the Centre for Research in Mathematics and Data Science in 2013. Several researchers in the centre hold ARC Discovery Project or Future Fellowship grants, and the centre has become a venue for international AMSI workshops and conferences in pure mathematics. Mathematics has been consistently ranked above world standard in ERA; in ERA 2018, the fields Mathematics (FoR 01), Pure Mathematics (FoR 0101) and Applied Mathematics (FoR 0102) each received a ranking of 4 out of 5.

We seek an energetic, forward-thinking, dynamic, and innovative mathematician to take on a Level B academic position in mathematics for a full-time, permanent position.

Position Enquiries:

WSU job site: https://uws.nga.net.au/. Search for Ref 4542/23.

Lecturer/Senior Lecturer in Pure Mathematics @La Trobe

Location: La Trobe University, Bundoora campus; Department of Mathematical and Physical Sciences
Employment Type: Continuing (Full Time)
Remuneration:  Level B or Level C Academic Appointment
Closing Date: 17 September 2023
Job no: 564041

About the position

This position is located in the Department of Mathematical and Physical Sciences, part of the School of Computing, Engineering and Mathematical Sciences in Melbourne (Bundoora) campus. The School has three departments: Computer Science and Information Technology, Engineering, and Mathematical and Physical Sciences on both Melbourne (Bundoora) and Bendigo campuses.

The Department of Mathematical and Physical Sciences is comprised of active teaching and research staff across the broad disciplines of applied mathematics, pure mathematics, statistics, and physics. The Department offers undergraduate majors in mathematics, statistics, data science, and physics, and also provides many important subjects that are undertaken by students from a diverse range of courses and disciplinary backgrounds (eg. engineering, life sciences, education). Several members hold national and other teaching awards. The Australian Research Council’s Excellence in Research for Australia (ERA2018) ranks the Department’s mathematical sciences as ‘above world standard’, and physical sciences research as ‘well above world standard.’

Reporting to the Head of Department of Mathematics and Physical Sciences a Level B and/or Level C teaching and research academic is expected to develop curriculum, teach and/or undertake research and/or other scholarly work relevant to the development of their discipline or professional field.

A selection of your duties will include:

  • Contribute to cross-disciplinary teaching development and delivery across the Department and School as required.
  • Design, coordinate and teach subjects and courses which provide a high-quality learning experience in the areas of mathematics and data science that engages undergraduate, honours and postgraduate students.
  • Design innovative and effective curriculum which reflects developing best practice nationally and internationally, utilising various methodologies including online and blended learning.
  • Conduct and lead innovative and high impact research in the area of pure mathematics and produce conference and seminar papers and publications resulting from that research.
  • Supervise Higher Degree by Research (HDR), honours and postgraduate students.

Skills & Experience

  • Completion of a PhD or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area.
  • Demonstrated effectiveness in curriculum development and teaching with a commitment to excellence in teaching.
  • Demonstrate ability to participate/lead industry/government engagement and/or relevant research.
  • Strong record of research publication, with appropriate evidence of quality and impact.

Please refer to the Position Description for other duties, skills and experience required for this position.


  • 17% employer contributed superannuation
  • On site child care facilities
  • Flexible work arrangements
  • Discounts for staff and their family members to study a range of La Trobe courses

For more information and to apply, please visit https://careers.pageuppeople.com/533/caw/en/job/564041/lecturersenior-lecturer-pure-mathematics.

Position Enquiries: Dr Narelle Brack, Head of Department, Department of Mathematical and Physical Sciences, School of Computing, Engineering and Mathematical Sciences, Email: n.brack@latrobe.edu.au, Phone: (03) 9479 3808

Recruitment Enquiries: Vicki Stavrou, Senior Talent Acquisition Business Partner, Email: v.stavrou@latrobe.edu.au, Phone: (03) 9479 5191

Scholarship in Data Science @Curtin

Closing date: 25 August 2023
Campus: Curtin University; Centre for Optimisation and Decision Science
Remuneration: $60,000 – $70,000 per annum
Status: 3 years
Title: Dynamics-driven operator splitting methods for data science, machine learning, and engineering problems

In data science, machine learning, and engineering, many problems take the form of finding a solution that minimizes a cost, subject to constraints on allowable solutions. Some examples of costs include expected financial losses, model prediction errors, and energy used. Some examples of constraints include resource limitations, minimum requirements on what is produced, and so forth.

These problems are solved with operator splitting methods, a modern class of non-linear optimisation algorithms that allow the constraint structure and cost structure to be treated as two components of a single unifying function. These algorithms were independently discovered by mathematicians working on physics and imaging problems, and they have been developed and improved with the powerful machinery of convex analysis.

For many important problems, we desire to make these algorithms go faster, either to find solutions within the maximum time allowable (for example: balancing power flow in electricity grids) or to make better data science models computationally tractable for large data sets. Researchers have recently turned to studying the dynamical systems associated with operator splitting methods. This research is allowing us to prove results in nonconvex settings and build new algorithms. Dr. Scott Lindstrom recently introduced a meta-algorithm that uses operator dynamics to suggest alternative algorithm updates. The intent of this meta-algorithm is to solve surrogates for something called a Lyapunov function, which is an object that describes the dynamics. This meta-algorithm has already become state-of-the-art for finding wavelets with structural constraints (an imaging sciences problem).

Scientific Aims

The scientific aim of this project is to identify classes of problems in data science, machine learning, and engineering for which meta-algorithms—such as the one described above—may be deliver superior performance. The approach will be multi-faceted, combining both computational experiment and rigorous proof. The results will be communicated in articles and submitted to peer-reviewed publications.

Upskilling Aims

The upskilling aims for the selected candidate are as follows (in no particular order). The candidate will build expertise in the algorithms that make it possible to solve many modern data science models and engineering problems, understanding both how the algorithms are designed, how geometry informs model selection, and what the outstanding challenges are. At the project’s completion, the candidate will be competent to rigorously conduct both experimental and theoretical mathematics research, and to communicate the results of their discoveries to others in the field.

In the literature review component, you will learn the fundamental theory—convex analysis—of operator splitting and learn how operator splitting algorithms are formulated for solving various classes of problems. Some examples of the types of problems you will study are as follows: (1) least absolute deviations for outlier-resistant linear regression (a data science modelling problem), (2) progressive hedging for maximizing expected earnings (a finance problem), (3) computation of a one-norm centroid (a statistics problem), and (4) phase retrieval (a signal processing problem).

In the experimental component, you will apply Lyapunov surrogate methods to solve those problems. You will build performance profiles, which are visualizations that allow researchers to compare the speeds of different algorithms.

In the theoretical component, you will formally analyse the dynamical systems associated with operator splitting methods when they are applied to these problem classes. Particular emphasis will be placed on the duality of algorithms; duality is a fundamental concept in convex analysis.

You will document and communicate the findings in written articles.


As described in the overview, in the here and now, faster operator splitting methods will allow us to obtain better solutions to important problems in data science and energy. On a ten year horizon, this research advances an emerging new paradigm in problem solving, where artificial intelligence will observe an algorithm’s performance and suggest on-the-fly parameter adjustments and alternative updates for the iterates. Finally, the project builds fundamental knowledge in the mathematical sciences and equips the selected candidate with a skill set of extreme contemporary demand.

To apply

For more information, please copy and paste the following link into your web browser: http://staff.curtin.edu.au/Scholarship/?id=6730