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

If you have any further queries regarding the role, please contact:
Professor Ryan Loxton, Discipline Lead – Mathematics and Statistics,

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 

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 

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 

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)

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:

Applied Mathematician


Closing date: 6th Aug 2021

Category:Engineering / Technical
Position Type:Permanent
Job Reference:BOE/1550763

An exciting new role has opened up within Boeing Research & Technology Australia’s Brisbane Research Centre, located within the University of Queensland, St Lucia.

The successful candidate will work within a team of passionate mathematicians and engineers to develop state of the art GPU based multi-physics solvers. Essential skills include a familiarity with a range of computational methods for solving partial differential equations as well as experience in the implementation of such methods in a compiled language, particularly C, C++ or FORTRAN.  Experience in developing computational fluid dynamics codes, structural finite element codes or multi-physics codes is considered an advantage. Experience with high performance computing frameworks such as CUDA, OpenACC, OpenMP & MPI will also be considered beneficial.  

Required Qualifications:

  • Research higher degree in Mathematics (PhD or masters)
  • Bachelor degree in Math, Physics or Engineering

Applicants must be Australian Citizens to meet defence security requirements.

More information and application at this page.

Mathematical Modeller

Burnet Institute, Melbourne

Closing date: Tue, 17 Aug 2021 11:59pm Australian Eastern Time

The Opportunity 

Are you an early career researcher eager to undertake real-world mathematical modelling projects in infectious diseases and global health? This could be the role for you!

A unique opportunity exists for a Mathematical Modeller to join Burnet’s Modelling & Biostatistics team. Join an innovative team that is 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.  

This is an exciting chance for you to:

  • Contribute to the development and application of epidemic and economic models to address major public health issues
  • Work with a globally based team of expert modellers, epidemiologists, economists, health and policy specialists, and computer scientists to improve models
  • Undertake modelling and analytical support that 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
  • Apply innovations and analytical skills to ensure high quality deliverables in a fast-paced environment
  • Contribute to and produce policy briefs, presentations, scientific papers and technical reports 

Refer to the attached position description for full details.

This is a full-time position, initially for a 2-year period with the possibility of extension. Work from the comfort of your own home or join us in the office, location is flexible!

Full details and application form at this link.

Postdoctoral Research Fellow/Research Fellow

The School of Mathematics and Physics
University of Queensland

Closing Date: 3rd August 2021

The primary purpose of this position is to carry out high-quality mathematical research in the general area of Geometric and Nonlinear Analysis. Some contribution to undergraduate and/or postgraduate coursework teaching may be expected.

The position reports to the Head of School, Professor Joseph Grotowski.

This position is located at our picturesque St Lucia campus, renowned as one of Australia’s most attractive university campuses, and located just 7km from Brisbane’s city centre. Bounded by the Brisbane River on three sides, and with outstanding public transport connections, our 114-hectare site provides a perfect work environment – you can enjoy the best of both worlds: a vibrant campus with the tradition of an established university.

For more information and to apply, click here.

Associate Professor/Professor in Statistics or Data Science

School of Mathematical Sciences
The University of Adelaide

Closing Date: 12th August 2021

(Level D/E) $147,685 to $189,518 per annum plus an employer contribution of up to 17% superannuation may apply. 

Continuing position available from 1 January 2022.

The University of Adelaide is seeking a senior academic to lead the Discipline of Statistics in the School of Mathematical Sciences and contribute to the School’s strategic priority of expanding its research and educational offerings in data science, broadly construed.

This is an opportunity for an emerging or current academic leader to join a top-ranked team with ambitious plans for the future. The University of Adelaide received the highest possible rating of research quality in the mathematical sciences overall and in each of its disciplines in the two most recent ERA assessments. It was the only Australian university to receive top ratings for engagement and impact in the mathematical sciences in the 2018 Engagement and Impact Assessment.

The School is committed to pedagogical innovation and is currently working with its Industry Advisory Board to strengthen its external engagement as a strategic priority.

The School is strongly committed to increasing the diversity of its staff and students. We encourage and warmly welcome applications from academics who are able to contribute to the diversity of the School community. For more information and to apply, go to:

Senior Mathematical Modeller

Burnet Institute

Closing Date: 18th July 2021

Burnet Institute have an opportunity for a Senior Research Officer / Senior Research Fellow to join our fantastic Modelling & Biostatistics team. This is a unique opportunity to develop and apply 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.

This position is initially for a 2 year period.

Refer to the attached position description for full details.

Click here to apply.

Lecturer/Senior Lecturer in Statistics, Data Science, Stochastic Modelling

School of Mathematical Sciences
University of Adelaide

Closing date: 1st August 2021

(Level B, Lecturer) $100,933 to $119,391 or (Level C, Senior Lecturer) $123,075 to $141,537 per annum plus an employer contribution of up to 17% superannuation may apply. 

Three-year fixed term position available from December 2021.  On conclusion of the three-year term, the position may be converted to a continuing position under the provisions of the University’s Enterprise Agreement.  

Two full-time positions are available.

The University of Adelaide is seeking to grow the statistics, data science, and stochastic modelling team in the School of Mathematical Sciences. This is an opportunity for a highly motivated researcher and committed educator to join a School that is a leader in pedagogical innovation and received the highest possible rating of research quality in the mathematical sciences overall and in each of its disciplines in the two most recent ERA assessments.

The School has identified data science, broadly construed, as one of its strategic priorities. We are seeking an enthusiastic colleague to work with us to expand our research and educational offerings in statistics, data science, and stochastic modelling. Willingness to engage with industry would be an asset. 

The School is strongly committed to increasing the diversity of its staff and students. These two available positions are directed at applicants who are able to contribute to the diversity of the School community.

For more information and to apply, click here.

Postdoctoral Research Assistant 

Department of Statistics and the Wellcome Centre for Human Genetics
University of Oxford

Closing Date:30th July 2021

Grade 7: £32,817 – £40,322 p.a. 

We invite applications for a postdoctoral research assistant to develop predictive models for how DNA sequences impact regulatory networks, and apply these models to new single-cell datasets including for both gene expression, and chromatin accessibility (openness) during meiosis. The successful candidate will create new techniques integrating information from genomic DNA sequences, to perform mixture decomposition of sparse data matrices, and non-linear prediction, among other goals. We anticipate the resulting methods will be widely applicable to provide a technique for identifying the role of mutations, for example those identified in genome-wide association studies, in impacting gene expression in general. The postholder will work jointly at the Department of Statistics and the Wellcome Centre for Human Genetics. The post holder will join Oxford’s leading genomics research community, and the project may involve international collaboration and potential visits to collaborating groups.

The successful candidate will hold or be close to completion of a PhD/DPhil in a relevant quantitative scientific discipline, for example statistics, machine learning, mathematics, statistical or population genetics, or related disciplines. They also should have experience in developing and applying novel statistical methods, and low-level programming. Experience in analysing high-dimensional datasets, for example in computational statistics, machine learning, is highly desirable. They should have a strong interest in biological problems, genetics and/or genomics, but previous experience is not essential.

Queries about this post should be addressed to: Professor Simon Myers at

This post is fixed-term until 10 September 2023.

Only applications received before 12.00 midday on 30 July 2021 will be considered. Interviews will be held on 25 August 2021.

For more information and to apply, click here.