Step up as an STA STEM Ambassador

Science & Technology Australia’s STEM Ambassadors program is now open for applications.

The STA STEM Ambassadors program pairs science and technology experts with their local Federal MP or Senator. Ambassadors meet with their Parliamentarian several times each year to discuss STEM topics of interest and enhance Parliamentarians’ access to STEM expertise.

This innovative program was created by STA in 2019, and has since trained 41 STEM Ambassadors matched with MPs and Senators.

In this new program intake, another 22 MPs and Senators from across the breadth of the Parliament have asked for a STEM Ambassador for 2023-24.

The STEM Ambassadors are drawn from Science & Technology Australia’s member organisations and come from a diverse range of academic backgrounds and interests.

STEM sector professionals who are members of STA member organisations are encouraged to apply for the program.

Applications close 9am AEDT Monday 7 November 2022.

Senior Lecturer/Lecturer in Mathematics @Newcastle

Closing date: 31 October
Campus: Callaghan Campus
Remuneration: Academic Level B or C, $103,221 to $145,803.
Status: Full-time, Permanent role

For more information, see

Call for PhD Student Research Symposia in 2023 – Expressions of Interest

MATRIX and AMSI invite PhD students in the mathematical sciences around Australia to design and run their own research symposia in 2023. Students will be supported through:

  • assessment and guidance from the MATRIX Scientific Committee
  • promotion via the MATRIX and AMSI websites, email subscriber lists and twitter
  • video conferencing advice and guidance (if required)
  • access to the online collaboration platform Sococo (Q1-Q3 2023)
  • access to MATRIX facilities in Creswick for two selected symposia to meet in-person
  • collaboration awards through competitive application to our MATRIX-AMSI PhD Student Research Collaboration scheme

Further details:


Closing date for EOIs: Friday, 25 November 2022

John Nesbit Fellow in Pure Mathematics @UQ

Closing date: 18 November at 11.00pm
Campus: University of Queensland; School of Mathematics and Physics
Remuneration: Level A: $72,144.35–$96,530.67 per annum plus super of up to 17%. The total FTE package will be in the range $84,408.89–$112,940.88 per annum.
Status: Fixed-term position for up to 3 years
Reference: R-18365

The John Nesbit Fellowship in Pure Mathematics will support a recent PhD graduate to lay the foundations for a successful career within or outside of academia. The position is research-focused, with the Fellow expected to dedicate approximately 20% of their time to teaching.

Key responsibilities will include:


  • Conduct research in an area of pure mathematics.
  • Publish research in high-quality peer-reviewed journals.
  • Present research at conferences and seminars.
  • Actively participate in the activities of the pure mathematics group within the School; work effectively in a collaborative research environment.


  • Contribute to the teaching of mathematics, as directed by the Head of Mathematics.
  • Contribute to the supervision of Honours and Higher Degree Research students, as appropriate.

Service and Engagement

  • Perform a range of administrative functions in the School.
  • Contribute to the processes that enable the academic team to manage the work of the School, including participation in School decision-making.

About You

  • PhD in mathematics or a related discipline, awarded no earlier than 01 January, 2019. In exceptional circumstances, such as significant carer responsibilities, an earlier award date may be accepted.
  • Demonstrated ability to carry out high-quality research in pure mathematics.
  • Track record of publications in internationally recognised peer-reviewed journals.
  • Demonstrated ability or potential to teach courses at undergraduate and postgraduate level.
  • Ability to work collaboratively and to take initiative and work independently.
  • Highly developed interpersonal and written communication skills.

To discuss this role please contact Professor Jorgen Rasmussen via
For application queries, please contact stating the job reference number (R-18365) in the subject line.
Apply via this link: Workday

Associate Professor/Professor in Statistical Data Science @Sydney

Location: School of Mathematics and Statistics, The University of Sydney, Camperdown Campus
Employment Type: Full time
Duration: continuing
Remuneration: competitive (see application link below)
Closing Date: 11.59pm; 27 November 2022

• Exciting opportunity for an outstanding senior academic who is a leading authority within their discipline
• Located on the Camperdown Campus at the School of Mathematics and Statistics
• Continuing position with an attractive remuneration package

About the opportunity

The School of Mathematics and Statistics is one of the largest mathematical sciences schools in Australia and is world-renowned for its research in pure mathematics, applied mathematics and mathematical statistics. The school attracts a strong body of excellent students as well as a large number of outstanding researchers, many of whom hold Fellowships and grants.

We are seeking to appoint an outstanding Associate Professor/Professor in Statistical Data Science to our School of Mathematics and Statistics. The School of Mathematics and Statistics is looking to expand its capacity in research and engagement in Data Science & Applied Statistics. Therefore, we are looking for a candidate who has a wide network of established relationships with key academic, industry and professional institutions, partners and stakeholders that can be leveraged to enhance the standing of the specialty, school, faculty and University. Additionally, The University of Sydney is planning to implement a new online masters course, the Master of Data Analytics. The course will be led by the Faculty of Science and draw on expertise from across the University to create a distinctive offering that will support career advancement across industries and sectors.

Your key responsibilities will be to:

• undertake research in multiple time-scale dynamical systems theory and its application
• publish research papers
• demonstrate research excellence.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for an Associate Professor/Professor in Statistical Data Science who has:

• curriculum design expertise that can connect modern research in Statistics to teaching and engagement opportunities in Data Science
• experience in online teaching and curriculum development and will lead and teach into the Master of Data Analytics initiative, coordinating its development, implementation, and the associated UoSs.
• an independent and active research line in Applied Statistics or Data Science, compatible with the high standards and aspirations of our school and University
• a distinguished record of teaching excellence shown through student outcomes
• a distinguished record in research commensurate with your level of experience including competitive research grants, publications, and evidence of recognition within the broader discipline
• the potential to attract external funding and connect to partners both external and internal to the University
• experience supervising and supporting higher degree research students and Honours students.

We are ideally looking to appoint at the Associate Professor or Professor level. For exceptional talent, however, we would also consider emerging scholars appointable at the Senior Lecturer level or industry professionals capable of operating effectively in an academic environment and appointable as a Professor of Practice.

Further information about the typical responsibilities for each of these types of appointments is included in the Position Descriptions on the application page.
NOTE: This is a regular 40:40:20 position but it will be directed to the coordination of the Master of Data Analytics.

Term and remuneration

This will be a continuing appointment. The successful candidate will be offered a competitive remuneration package commensurate with the responsibilities of the position and the candidate’s relevant experience and qualifications.


To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Your employment is conditional upon the completion of all roles required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Learn more about this position and apply:

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact: Lucy Porter (Senior Talent Partner, Senior Talent Acquisition, Recruitment Operations) on +61 429 771 115 or by email

© The University of Sydney

The University reserves the right not to proceed with any appointment.

Lecturer or Senior Lecturer in Mathematics @Adelaide

Location: School of Mathematical Sciences, University of Adelaide
Employment Type: Full-time, Level B or C
Duration: 3-year appointment (convertible)
Remuneration: Level B ($102,952–$121,779) or Level C ($125,537–$144,368) + 17% superannuation
Closing Date: 28 October 2022

Fixed term position for 3 years, convertible to continuing, subject to performance and funding availability.

Flexible work arrangements can be negotiated with the right candidate.

The School of 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 Faculty of Sciences, Engineering and Technology aims to increase the diversity of its staff. Applications from women are particularly encouraged.

How to apply

Learn more about this position and apply: click here.

Research Fellow in Dynamical Systems @Monash

The School of Mathematics at Monash University invites applicants for the position of Research Fellow to work on Dynamical Systems. The Dynamical Systems group is expanding and is currently looking to hire three new Research Fellows. Applicants must have a PhD in Mathematics or a related field. It is also expected that they have a sound knowledge and experience in Dynamical Systems research. The Research Fellows will work on computational and theoretical aspects of Dynamical Systems, in particular problems related to hyperbolic dynamics, blenders, the n-body problem, and Hilbert’s 16th problem. Candidates with a background in complex dynamics are also welcome to apply. The research is partially supported by the Australian Research Council through the Discovery Project (DP220100492 — Computer-aided proofs for non-hyperbolic dynamics and blenders) with investigators Lorenzo Diaz (PUC-Rio, Brazil), Andy Hammerlindl (Monash), Katsutoshi Shinohara (Hitotsubashi University, Japan), and Warwick Tucker (Monash).

Job No.: 641447

Location: Clayton campus, Monash University
Employment Type: Full-time
Duration: 2-year fixed-term appointment
Remuneration: $72,927–$98,975 p.a. Level A (plus 17% employer superannuation)
Closing Date: Monday 31 October 2022, 11:55 pm AEDT

Applications must be made via the Monash website: see here.

Research Associate or Research Fellow in Statistical Modelling @Macquarie

Location: School of Mathematical and Physical Sciences, Macquarie University
Employment Type: Full time
Duration: 3-year fixed term appointment
Remuneration: From Level A Step 6 (PhD required) $97,621 to $104,622 p.a. or Level B from $110,274 to $130,472 p.a., plus 17% employer’s Superannuation and annual leave loading.
Closing Date: 11:59 pm; 8 November 2022

About the opportunity

This role is open to application by statisticians or data scientists who have a strong research interest and growing reputation in statistical modelling or cognate fields with demonstrated interest in interdisciplinary and/or applied research. The successful candidate will support the research of Professor Samuel Muller, Head of School, and will collaborate with members of his research group, located at Macquarie University and at two other Australian universities.

The successful candidate will be expected to make a vigorous contribution in one or more of the following research areas and contribute to the supervision of PhD and MRes research students as well as assist and/or lead statistical consulting activities:

•Variable selection and inference for statistically challenging data, including for longitudinal, clustered and correlated univariate and multivariate responses;
• Investigating theoretical properties of regularization methods in various asymptotic scenarios and improving these methods by learning from resampling-based stability information;
• Developing model visualisation methods to enable interactive and dynamic model building;
• Robust selection and estimation in regression type models;
• Classification and improved prediction methods for multiplatform data;
• Devising statistical methods for the analysis of multi-layered and structured data in bioinformatics, microbiome and neuroscience applications

How to apply

Learn more about this position and apply–Level-A-or-B-_R000009353-1.