4-year industry PhD scholarship+top-up on online misinformation detection@Uni Adelaide

School of Mathematical Sciences, University of Adelade

Closing date: COB 28 October 2021

The spread of misinformation online is believed to be driven in part by non­human actors: algorithms and bots, often coordinated offshore. Recent research has developed algorithms for identifying such bots through measures of coordination: accounts that post to social media at similar times, or with similar, recognisable patterns of behaviour. State-of-the-art approaches to bot detection nonetheless use relatively naive social media analytics and measures, and not using the full extent of information (e.g., network structure and full post content) available. This project will develop new measures of social information flow to understand the extent of online social influence, and build new tools to counter malicious coordinated behavior, in real time.

4-year PhD stipend ($28,597 p/a) plus $12,500 p/a (Supplementary Scholarship, indexed annually); includes internship with Defence Science and Technology Group (DSTG). Applicants must be Australian citizens able to obtain security clearance. Applications for this UAiPhD project should be submitted to Associate Professor Lewis Mitchell by no later than COB 28 October 2021.

https://scholarships.adelaide.edu.au/Scholarships/postgraduate-research/faculty-of-engineering-computer-and-mathematical-sciences-35

Senior Research Fellow or Research Fellow@Curtin University

School of Electrical Engineering, Computing, and Mathematical Sciences

$103,101 – $144,971 (ALB/C) plus 17% superannuation

Fixed-term full-time research position

Help shape the future of optimisation and applied mathematics at Curtin

Please apply through the Curtin University job board: http://staff.curtin.edu.au/job-vacancies/?ja-job=355607

Application closing date 10:00pm AWST, Friday 15th October 2021

The School of Electrical Engineering, Computing, and Mathematical Sciences at Curtin University brings together the university’s expertise in data science, artificial intelligence, and digital technologies. The school includes several major collaborative ventures with industry and government, including the Optus-Curtin Centre of Excellence in Artificial Intelligence, the ARC Industrial Training Centre for Transforming Maintenance through Data Science, the Cisco Centre for Networks, and the Curtin Institute for Computation.
  
Optimisation is one of the school’s core research themes and the optimisation group in the school (part of the mathematics and statistics discipline) is a key pillar in Curtin University’s data science portfolio. The university is now seeking a senior research fellow or research fellow to collaborate with industry and government partners, conduct high-quality fundamental research in optimisation and operations research, and drive research funding opportunities. This is a research-focused position reporting to the group director.

Position description

Application link

If you have a query in relation to the application process please contact our careers team on curtincareers@curtin.edu.au

If you have any further queries regarding the role, please contact:
Professor Ryan Loxton, Discipline Lead – Mathematics and Statistics, r.loxton@curtin.edu.au

PhD top-up scholarship suitable for applied maths/stats@ANU

Computational methods for pupil-based disease diagnostics

Pupils are a diagnostic window onto the eye and brain circuits that govern their movements and hold the promise of contactless disease screening. However, the journey from pupil response to disease biomarker is a challenging road paved with complicated computational methods and ingenious visual stimulus design. A biomarker refers to a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention (US National Institutes of Health. Biomarkers Definitions Working Group, 1998). When combined with computational methods to allow systematic data analyses at scale to discover disease, immune, and treatment-response signatures, biomarkers can be used to develop novel diagnostics.We seek a PhD candidate with a background in computer science, computational neuroscience, or applied mathematics to join a multidisciplinary team developing novel algorithms that transform pupil-diameter time series to biomarkers for disease. Students with strong analytic and programming abilities combined with an interest in solving big health problems through engineering are encouraged to apply.The position would jointly supervised by Dr Elena Daskalaki and Dr Josh van Kleef and attract a generous top-up scholarship of $10K p.a. for 3 years provided by our commercial partner (Konan Medical USA). It is expected that suitable candidates would have qualified for an Australian Postgraduate Award or equivalent scholarship for international candidates.This research will be delivered in partnership with Our Health in Our Hands (OHIOH), a strategic initiative of the Australian National University, which aims to transform healthcare by developing new personalised health technologies and solutions in collaboration with patients, clinicians, and health care providers. Research undertaken by the group has already resulted in a number of patents, so there is strong potential for commercial applications arising from this project.

Team

  • A/Prof. Hanna Suominen (ANU School of Computing)
  • Prof. Ted Maddess (JCSMR)
  • Dr. Elena Daskalaki (ANU School of Computing)
  • Dr. Josh van Kleef (JCSMR)

References and Reading Recommendations

  • Carle, C.F., James, A.C., Kolic, M., Loh, Y.W. and Maddess, T., 2011. High-resolution multifocal pupillographic objective perimetry in glaucoma. Investigative Ophthalmology & Visual Science, 52(1), pp.604-610.
  • Carle, C.F., James, A.C., Rosli, Y. and Maddess, T., 2019. Localization of neuronal gain control in the pupillary response. Frontiers in neurology, 10, p.203.
  • James, A.C., Ruseckaite, R. and Maddess, T., 2005. Effect of temporal sparseness and dichoptic presentation on multifocal visual evoked potentials. Visual Neuroscience, 22(1), p.45.
  • Maddess, T.L., James, A.C. and Carle, C.F., Australian National University, 2017. Clustered volley method and apparatus. U.S. Patent 9,848,771.

ApplicationsTo express your interest in this PhD scholarship, please email the following documents to Josh van Kleef:

  • Current CV
  • Research proposal (max 2 pages)
  • Colour copies of all transcripts and completion certificates of prior study, in original language and  official English translations
  • Contact details for 3 referees.

https://cecs.anu.edu.au/research/student-research-projects/what-our-eyes-can-tell-about-our-health-0

Professor or A/Prof. @ Curtin University

School of Electrical Engineering, Computing, and Mathematical Sciences

$151,317 – $194, 454 (ALD – ALE) plus 17% superannuation

Fixed-term full-time research position (5 years)

Teaching and research appointment

Application closing date 10:00pm AWST, Friday 15th October 2021

Job Reference: 780919
  

The School of Electrical Engineering, Computing, and Mathematical Sciences at Curtin University brings together the university’s expertise in data science, artificial intelligence, and digital technologies. The school includes several major collaborative ventures with industry and government, including the Optus-Curtin Centre of Excellence in Artificial Intelligence, the ARC Industrial Training Centre for Transforming Maintenance through Data Science, the Cisco Centre for Networks, and the Curtin Institute for Computation.
  
Optimisation is one of the school’s core research themes and the optimisation group in the school (part of the mathematics and statistics discipline) is a key pillar in Curtin University’s data science portfolio. The university is now seeking a new professor or associate professor to provide academic leadership within the optimisation group, expand the group’s collaborations with industry and government, and foster and lead new demand-driven research funding opportunities. This is a research-focused position reporting to the group director. The successful candidate will be a senior member of the mathematics and statistics discipline at Curtin and will play a leading role in shaping the future of applied mathematics and data science at the university.

Position description

Application link

If you have a query in relation to the application process please contact our careers team on curtincareers@curtin.edu.au

If you have any further queries regarding the role, please contact:
Professor Ryan Loxton, Discipline Lead – Mathematics and Statistics, r.loxton@curtin.edu.au

Tutor/Senior Tutor in Statistics@University of Waikato

University of Waikato, Hamilton, New Zealand
Department of Mathematics

Closing date: 17 September 2021

Ko wai mātou? – Who are we? 

The Department of Mathematics within the School of Computing and 
Mathematics Sciences, offers a broad programme in pure, applied, and 
computational mathematics which gives opportunity for specialist and research 
preparation, but also serves the needs in mathematics and statistics of other 
disciplines in the University. 

Ngā kōrero mō te tūranga – About the role 

We have an opportunity for a qualified and passionate person to support 
teaching and learning for our popular statistics papers primarily through 
lectures and tutorials. 

You would be part of an expert team and involved in all aspects of teaching 
and support for undergraduate students.  In particular, you would deliver 
lectures, coordinate a team of sessional assistants, assist with the 
development of paper content and teaching resources, carry out day-to-day 
administration and run some computer laboratory sessions. 

For more information about the School of Computing and Mathematical 
Sciences, please visit https://www.cms.waikato.ac.nz/ 

Ko wai koe? – Who are you? 

To be successful in this role you will have a background in statistics, with a 
demonstrated teaching ability. You will also have a strong interest in 
supporting student learning in the transition from secondary school to 
university study, and inspiring students into considering further studies in our 
discipline. 

In addition, it is essential that you have an undergraduate degree in statistics 
or mathematics, and it is strongly preferred that you have a postgraduate 
degree, i.e. a Masters degree or PhD.

He aha ngā take me tono mai ai koe? – Why should you apply for this 
position? 


Our University provides a unique and satisfying work environment with many 
benefits to our staff including study opportunities and leave provisions. 

The salary will be commensurate with the level of appointment. Current salary 
range for Tutors is $45,624 to $66,830 per year and for Senior Tutors is 
$69,124 to $84,062 per year. 

This position is fixed term for two years and will commence in January 2022. 

Enquiries of an academic nature should directed to Associate Professor 
Daniel Delbourgo
, Head of Mathematics

For more information: position description, full advertisement.

Waikato Vacancies page (see Vacancy Number 410264)

Open letter to CEO of the Australian Research Council: Concerns about new ARC “no preprint rule”

(A pdf version of this letter is available here)

24 August 2021

Professor Sue Thomas
Chief Executive Officer
Australian Research Council

Dear Professor Thomas,

The Australian Physics, Astronomy, Chemistry, Mathematics and Statistics communities express grave concern about a recent change to Australian Research Council (ARC) rules to forbid reference to preprints anywhere in a grant application. We are particularly concerned about the impact on early career researchers whose ARC fellowship applications have recently been ruled ineligible because of a violation of this new rule.

We are not aware of any consultation with our scientific communities about this change. We urge the ARC to rescind this rule, as it is unworkable and inconsistent with standard practice in our disciplines.

Preprints are vital for the rapid dissemination of knowledge in physics, astronomy, chemistry, mathematics and statistics. This is particularly important in fields where there is a long lead-time between journal submission and publication. Citing preprints in publications, reports, or grant applications is an entrenched disciplinary norm in these fields. Experts and referees who encounter such citations know that preprints are not peer reviewed and are experienced in assigning them appropriate weight.

Preprint servers are also used to store other important scientific documents including white papers, PhD theses, software and instruction manuals, experimental design reports, and other technical documents. Although never intended for publication in a regular journal, it is common for such documents to be definitive references on certain topics and cited many hundreds of times.

Forbidding references to preprints prevents applicants from giving appropriate credit to the authors of ideas that informed their proposal. This constitutes academic misconduct. Doing so is contrary to the Australian Code for the Responsible Conduct of Research 2018, which requires researchers to both “Present information truthfully and accurately in proposing … research” (Principle 1) and “Appropriately reference and cite the work of others” (Principle 4).

Preprint servers, such as the physical sciences arXiv server, pioneered the development of open access publishing. They are an established part of the publishing landscape. Their use is fully consistent with the ARC Open Access Policy.

Major science funding agencies around the world permit or encourage preprints to be cited in grant proposals and funding reports. This includes the US funding agencies such as the Department of Energy (DOE), the National Science Foundation (NSF), NASA and the National Institutes of Health (NIH), the European Research Council (ERC), the French National Research Agency (ANR) and the UK funding agencies for Engineering and Physical Sciences (EPSRC), Biological Sciences (BBSRC) and Medical Sciences (MRC).

We are dismayed that promising research careers have been impacted and perhaps even ended because fellowship applicants cited preprints and other documents housed on preprint servers. We encourage the ARC to explore avenues to support the researchers affected.

We strongly recommend the ARC reverse its rule change as a matter of urgency, and permit authors to cite any relevant material in accordance with disciplinary conventions. We further recommend that any future proposed changes that represent a significant departure from disciplinary norms be subject to wider consultation with researchers and peak scientific bodies.

Yours sincerely,


Professor Sven Rogge, President, Australian Institute of Physics (AIP)
Professor Steven Bottle, President, Royal Australian Chemical Institute (RACI)
Professor John Lattanzio, President, Astronomical Society of Australia (ASA)
Professor Ole Warnaar, President, Australian Mathematical Society (AustMS)
A/Professor Jessica Kasza, President, Statistical Society of Australia (SSA)
A/Professor John Holdsworth, President, Australian and New Zealand Optical Society (ANZOS)
Professor Anthony Dooley, Chair, Australian Council of Heads of Mathematical Sciences (ACHMS)
Professor Tim Marchant, Director, Australian Mathematical Sciences Institute (AMSI)

Professor Brian P Schmidt AC FAA FRS, ANU Distinguished Professor, 2011 Nobel Laureate

Professor Harry Quiney, Head, School of Physics, The University of Melbourne
Professor Celine Boehm, Head, School of Physics, The University of Sydney
Professor Tim Senden, Director, Research School of Physics, The Australian National University
Professor Michael Morgan, Head, School of Physics and Astronomy, Monash University
Professor Susan Coppersmith, Head, School of Physics, University of New South Wales Sydney
Professor Peter Veitch, Head, School of Physical Sciences, The University of Adelaide
Professor Jingbo Wang, Head, Department of Physics, The University of Western Australia
Professor Igor Bray, Head, Physics and Astronomy, Curtin University
Professor Geoff Pryde, Head, Applied Maths and Physics, Griffith University
Professor David Spence, Interim Head, Department of Physics and Astronomy, Macquarie University
Professor Jamie Quinton, Head of Physics and Dean of Science, Flinders University
Professor Gary Bryant, Associate Dean (Physics), RMIT University
Professor John-David Dewsbury, Head, School of Science, UNSW Canberra
Dr Brenton Hall, Chair of Department of Physics and Astronomy, Swinburne University

Professor Scott Kable, Head, School of Chemistry, University of New South Wales Sydney
Professor Philip Gale, Head, School of Chemistry, The University of Sydney
Professor Richard O’Hair, Head, School of Chemistry, The University of Melbourne
Professor Phil Andrews, Head, School of Chemistry, Monash University
Professor Chris Sumby, Head of Chemistry, The University of Adelaide
Professor Alison Rodger, Head, School of Chemistry, Macquarie University
A/Professor David Wilson, Head, Department of Chemistry and Physics, La Trobe University
A/Professor Jennifer MacLeod, Head, School of Chemistry and Physics, Queensland U. of Technology
Professor Catherine Yule, Head, School of Science, Technology & Engineering, U. of the Sunshine Coast
A/Professor Andrew Seen, Head of Chemistry, University of Tasmania
Professor Richard John, Head of Chemistry, Griffith University

Professor Howard Bondell, Head, School of Mathematics and Statistics, The University of Melbourne
Professor Joseph Grotowski, Head, School of Mathematics and Physics, The University of Queensland
Professor Adelle Coster, Head, School of Mathematics and Statistics, University of New South Wales
Professor Warwick Tucker, Head, School of Mathematics, Monash University
Professor Andrew Hassell, Interim Director, Mathematical Sciences Institute, ANU
Professor Andrew Bassom, Head of Discipline, Mathematics, University of Tasmania
Dr Maureen Edwards, Head, School of Mathematics and Applied Statistics, University of Wollongong
Dr Christopher Lenard, Head of Department of Mathematics and Statistics, La Trobe University
Professor Alan Welsh, Chair, National Committee for Mathematical Sciences

Professor Dragomir Neshev, ANU, Director, ARC Centre of Excellence for Transformative Meta-Optical Systems (TMOS)
Professor Matthew Bailes, Swinburne University of Technology, Director, ARC Centre of Excellence for Gravitational Wave Discovery (OzGrav)
Professor Elisabetta Barberio, The University of Melbourne, Director, ARC Centre of Excellence for Dark Matter Particle Physics
Professor Lisa Kewley, Australian National University, Director, ARC Centre for Excellence in All-Sky Astrophysics in 3D (ASTRO 3D)
Professor Paul Mulvaney, The University of Melbourne, Director, ARC Centre of Excellence in Exciton Science
Professor Peter Taylor, University of Melbourne, Director, ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)
Professor Michael Fuhrer, Monash University, Director, ARC Centre of Excellence in Future Low-Energy Electronics Technology (FLEET)
Professor Andrew White, The University of Queensland, Director, ARC Centre of Excellence for Engineered Quantum Systems (EQUS)

COVID-19: vaccines and variants

(This is a guest post by Dr Freya Shearer, as part of our miniseries of articles/essays by Australian mathematicians involved in the pandemic response. A pdf version of this article is available here.)

In the latter part of 2020, two key events shifted the course of the COVID-19 pandemic: the availability of vaccines and the emergence of variants of concern. 

A key question that rose up the agenda for policy makers — to what extent can vaccines mitigate the impacts of COVID-19, especially in the context of variants of concern? 

Due to the many nuances and uncertainties in estimating the future impacts of vaccination, ongoing monitoring of SARS-CoV-2 epidemiology in Australia while vaccines continue to roll out is critical to adaptive policy making. 

One of my roles in the COVID-19 response is to help provide epidemic situational assessment to Australian states and territories. As part of this, I have been coordinating (with Dr David Price) weekly (at least) situation reports submitted to the Communicable Disease Network of Australia (CDNA) and the Australian Health Protection Principal Committee (AHPPC) since April 2020. Each week the content of these reports represents a huge team effort – led by Professor James McCaw, an expert member of AHPPC (see the first essay in this series). A large nationally distributed group of mathematical and statistical modellers conduct analyses of trends in population behaviours (using mobility data from technology companies and anonymous population surveys), the effective reproduction number (using case data) and forecasts of daily case counts and hospital occupancy. We also estimate the propensity for the virus to spread based on behavioural data and the biological characteristics of SARS-CoV-2 [1]. A weekly summary is published in the government’s Common Operating Picture.  

It has been an enormous privilege to develop new analyses and metrics alongside policymakers to meet information needs specific to our context — for example, understanding the risk of epidemic activity during sustained periods of zero cases and an ongoing risk of importation(s). 

Over the past six months, the situational assessment teams have been continually adapting and extending their models to account for the differential impacts of new variants and vaccine products, and multiple co-circulating variants. 

Vaccines can act on multiple elements of transmission and/or disease. They can reduce:

  • Susceptibility to infection
  • The probability of onward transmission from immunised infected individuals
  • The probability of developing symptoms given infection
  • The probability of developing severe disease and death given infection

The COVID-19 vaccines registered for use in Australia are highly effective at reducing susceptibility to infection and onward transmission from immunised infected individuals for the Alpha variant. The resulting overall reductions in transmissibility are estimated to be > 90%. 

These vaccines also dramatically reduce the probability that immunised infected individuals will develop severe disease (> 85% estimated reduction) or die from their infection (also > 85% estimated reduction). However, vaccine efficacy is specific to each vaccine product and pathogen strain. At the time of writing, the Delta variant was set to become the dominant circulating SARS-CoV-2 strain globally. Early data shows decreased efficacy of our vaccines against the Delta variant (more on this later). 

Above and beyond the direct benefits of vaccination, everyone—vaccinated and unvaccinated—indirectly benefits from reduced exposure because others are vaccinated. This protection is a consequence of the reduction in disease transmission brought by the depletion of fully susceptible people (see the first essay in this series by Professor James McCaw for an explanation on the role of susceptible depletion). 

This indirect protection is important because even highly effective vaccines are imperfect; there is still a chance of severe disease and death for fully vaccinated people. Further, some people are unable to be vaccinated, due to underlying health issues for example.  

The level of vaccination coverage required to prevent sustained disease transmission is the critical vaccination or ‘herd immunity’ threshold. This threshold will vary according to pathogen transmissibility, vaccine efficacy, the population groups prioritised for vaccination, and levels of population mixing, among other factors. Higher pathogen transmissibility will increase the required level of coverage, while higher vaccine efficacy will decrease the required level of coverage. 

More specifically, the proportion of a homogeneously mixing population that would need to be vaccinated to prevent sustained transmission is given by (1–1/R0)/ε, where R0 is the “basic reproduction number”, the number of secondary cases arising from an index case in an otherwise fully susceptible population, and ε is the proportional vaccine efficacy at reducing transmission.  

Given an R0 value in many countries for wildtype SARS-CoV-2 of between 3 and 4, if we assume that vaccine efficacy is 90%, then the critical vaccination coverage becomes 75-85%. The Alpha variant is estimated to be around 50% more transmissible than wild type. This increases the critical vaccination threshold to 85–95%.

Early evidence suggests that the Delta variant is between 30 and 60% more transmissible than Alpha and may partially evade vaccine- and naturally-derived immunity. The critical vaccination threshold for a strain exhibiting such characteristics is nearing 100%, though we would expect significant population protection at lower vaccination levels and effective management of transmission. Due to the relatively short circulation period of Delta, very limited evidence is available on clinical severity and vaccine effectiveness against clinical outcomes. Early available data suggests lower vaccine effectiveness against the Delta variant compared to Alpha for most outcomes. 

The above simple calculations ignore important population heterogeneities that would make estimates higher or lower in specific settings. There are uncertainties in the transmissibility of Delta, indeed of any SARS-CoV-2 variant, including how it might vary geographically (even within Australia).  

An important part of our research is to adapt the above calculations to include a range of age-specific heterogeneities. The level of transmission reduction and protection against clinical outcomes achievable for a given population level of coverage depends on which sub-populations are prioritised for vaccination and differences in disease characteristics and social behaviours across different groups. 

The probability of hospitalisation, ICU admission and death given SARS-CoV-2 infection increases sharply with age, which is why vaccination programs in many countries have initially prioritised the oldest age groups.     

Groups at the highest risk of severe outcomes receive indirect protection through the vaccination of key transmitting population groups. Not all age groups contribute equally to transmission. Contributions vary because of different social contact rates, susceptibilities to infection and symptomatic fractions (which affect infectiousness) by age. For SARS-CoV-2, evidence suggests that susceptibility to infection and propensity to develop symptoms increases with age. Younger people and working age groups typically have more social contacts than older people.  

After accounting for all these factors, key transmitting ages for SARS-CoV-2 are estimated to be those aged 20–60 years. Whilst people under 20 have the highest numbers of contacts, they are less likely to spread SARS-CoV-2 to those contacts. People over 60 are more likely to spread SARS-CoV-2 to their contacts but typically have fewer contacts. People aged 20–60 have both relatively high numbers of contacts and ability to spread the disease. Thus, high coverage in these age groups is important for mitigating transmission and clinical outcomes. 

Future emerging variants are a key uncertainty in our ongoing management of COVID-19. With the emergence of each novel variant of concern, an early priority is to gather information on critical epidemiological indicators. What is its relative transmissibility compared to existing variants? What is the probability of severe illness given infection with the new variant? Does this vary by age group? What is the effectiveness of vaccines against the new variant? Does this differ by vaccine product? 

Estimating these quantities is extremely difficult in the early stages of variant emergence when information is scarce and detection efforts are highly varied and rapidly changing. Yet response planning/decisions are required before complete information is available. To support these decisions, analyses are made using the limited available data and must be continually reviewed and updated as evidence emerges.  

Ongoing global circulation of COVID-19, and global vaccine inequity mean that new variants will continue to emerge. Some of these variants will likely exhibit some combination of higher transmissibility, higher clinical severity and/or immune evasion. New vaccines/boosters will likely be needed to protect against such future variants. Response planning is designed to be adaptable to this continually evolving situation and many possible futures. For now, vaccination programs globally will continue to reduce transmission and harms related to COVID-19, together with public health and social measures.

Reference

[1] Nick Golding et al, Situational assessment of COVID-19 in Australia Technical Report 15 March 2021 (released 28 May 2021), https://www.doherty.edu.au/uploads/content_doc/Technical_Report_15_March_2021_RELEASED_VERSION.pdf

Research Fellow in Harmonic Analysis

Monash University, Melbourne, Australia
School of Mathematics

Closing date: Wednesday, 1 September 2021, 11:55 pm AEDT

The School of Mathematics is seeking an excellent Research Fellow to work as a part of a research project in analysis and PDE – investigating harmonic analysis (e.g. resolvent, Strichartz estimates, spectral multiplier) associated to Schrodinger operators and their application to dispersive equations (Well-posedness, asymptotic behaviour).

You would ideally have a doctoral qualification in Mathematics with extensive knowledge of harmonic analysis, functional analysis and PDE, with experience proving novel results in at least one of these areas.

Monash University seeks applicants for this opportunity who are able to demonstrate and present valid and current Australian work rights.

This role is a full-time position; however, flexible working arrangements may be negotiated.

Applications must be made via the Monash website:
https://careers.pageuppeople.com/513/cw/en/job/623542/research-fellow-harmonic-analysis

Scholarship opportunity: Kerry Landman Scholarship at the University of Melbourne

This scholarship will be available again in 2022, with applications opening on 1 October 2021, and I hope you may be able to assist in sharing this valuable opportunity through any appropriate channels you may have.

The Kerry Landman Scholarship supports high-achieving mathematics graduates that demonstrate a passion for education and wish to train as mathematics teachers. This scholarship is valued at up to $60,000 in total and students with a mathematics major who are enrolling in a Master of Teaching (Secondary) at the Melbourne Graduate School of Education are encouraged to apply. This scholarship aims to address the shortage of mathematically trained teachers who can passionately communicate the beauty and applications of mathematics to encourage, inspire and empower students to succeed. A successful candidate will have the potential to become a leader in a mathematics education.

Further detail regarding the scholarship can be found here.

National Science Week with MATRIX – Maths Documentaries

MATRIX is excited to host free online screenings of the following documentaries that celebrate the wonders of the mathematical sciences during National Science Week. We’d be extremely grateful if you could help us promote these events.  We would love for you, your teams and those in your networks to join us too. 

  • Maths Circles Around The World – 16 August 2021, 16.30 AEST 
  • Secrets of The Surface – The Mathematical Vision of Maryam Mirzakhani – 16 August 2021, 19.30 AEST 
  • Colors of Math – 17 August 2021, 19.30 AEST 
  • The Discrete Charm of Geometry – 18 August 2021, 19.30 AEST 

See the MATRIX webpage, the pdf flyer or the National Science Week website for more.