Postdoctoral Research Associate in Deep Learning Theory @USydney

Closing date: 23 June 2024
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Position: Postdoctoral Research Associate in Deep Learning Theory
Remuneration: Level A $105,350–$112,462 p.a.+17% superannuation
Status: 2-year, Full time fixed term position.
Reference>: 0118883-1

About the opportunity

The School of Mathematics and Statistics is currently seeking a Postdoctoral Research Associate in Deep Learning Theory to work on approximation theory of deconvolution, convolutional neural networks, operator learning, distribution regression, and graph neural networks.

Your key responsibilities will be to:

  • work on the ARC DP project on approximation theory of structured neural networks
  • work on approximation theory of deconvolution, convolutional neural networks, operator learning, distribution regression, and graph neural networks
  • complete simulations and carry out related applications of deep learning theory
  • help with academic communications. 

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 a Postdoctoral Research Associate in Deep Learning Theory who has:    

  • a PhD in mathematics, applied mathematics, data science, or a related area
  • an excellent track record of publishing high-quality papers on deep learning theory, machine learning theory, or approximation theory 
  •  research experience in deep learning theory, machine learning theory, and approximation theory 
  • a solid mathematics background
  • good communication skills.

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.

Pre-employment checks

Your employment is conditional upon the completion of all role 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

All applications must (include a cover letter, CV, and any additional supporting documentation) as per the details mentioned in the advert, can be submitted via the Apply button at the top of the page. 

Please click on the following link to apply directly through the University of Sydney’s website: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate-in-Deep-Learning-Theory_0118883-1

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

Lecturer in Data Science @USydney

Closing date: 2 June 2024
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Position: Lecturer / Senior Lecturer in Data Science
Remuneration: Level B $118,390–$140,586 p.a.+17% superannuation
Status: Full Time Fixed Term Contract until 2027.
Reference>: 0117330

About the opportunity

Opportunity for a Lecturer in Data Science to join The School of Mathematics and Statistics of the University of Sydney, one of the largest mathematical sciences schools in Australia. 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 Excellence in Research for Australia assessment to date.

As a Lecturer in Data Science, you will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build your research contribution, expertise and impact. You will also benefit from our supportive community of world-class mathematicians and statisticians.

Your key responsibilities will be to:

  • contribute to in the development, implementation, and promotion of mathematical/statistical education programs at the School of Mathematics and Statistics
  • work and collaborate on teaching programs and research with Academic and Professional staff at the University of Sydney
  • make a significant contribution to the research, education and administrative endeavors of their school/faculty while building their reputation as an authoritative figure in the discipline.

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 a Lecturer in Data Science who has:   

  • a PhD or a doctorate in Mathematics, Applied Mathematics, Statistics, or related field
  • an outstanding track record of publishing their research in areas of data science, optimization, or applied mathematics
  • evidence of ability, versatility and commitment to teaching
  • experience supervising students
  • a developing knowledge and understanding of the key strategic issues in the discipline and higher education sector.  

Note: Please be advised that there will be a on campus panel interview held in end of June.

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.

Pre-employment checks

Your employment is conditional upon the completion of all role 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.

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.

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

All applications must (include a cover letter, CV, and any additional supporting documentation) as per the details mentioned in the advert, can be submitted via the Apply button at the top of the page. 

If you are a current employee of the University or a contingent worker with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

Contact Information

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Faiza Khan, Recruitment Operations, by email to Faiza.khan@sydney.edu.au

For more information and to apply: https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Lecturer-in-Data-Science_0117330-2

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

Lecturer/Senior Lecturer (Education Focused) @USydney

Closing date: 15 April 2024
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Position: Lecturer / Senior Lecturer in Applied Mathematics / Pure Mathematics / Statistics (Education Focused)
Remuneration: Level B or C
Status: Full time.

About the opportunity

The University of Sydney welcomes applications for Sydney Horizon Educators in the academic disciplines outlined below, during an exciting and innovative time. With the introduction of the new University of Sydney Enterprise Agreement 2023-26, the University has committed to establishing and advertising new continuing education-focused (EF) academic positions, across the Faculty of Science.
Successful candidates will join the Sydney Horizon Educators cohort. For further insights into this exciting opportunity, we invite you to watch this video.

The University aims to attract and retain the best and brightest emerging academics. Positions in this opportunity are for talented educators with a passion for, and demonstrated excellence in, educational practice and innovation, and research capability (in disciplinary and/or education-related research). This newly recruited group of educators will support an uplift in the teaching capability and student experience at the University of Sydney, while also developing as leaders in the education space at the University.

You will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation in your specialised field while you also contribute to research in relation to your discipline and/or your educational practice. As part of this role, you will also contribute to the governance, leadership, and engagement work of your employing school, particularly as it relates to education.

Successful candidates will be expected to dedicate most of their contribution to teaching and teaching-related activities (70%), while also engaging in research (20%) and governance, leadership, and engagement (10%). Successful appointees support, coordinate, and teach undergraduate and postgraduate coursework Units of Study. Laboratory tutorial, studio class deliveries, and workshop management and teaching may also be a key part of the roles. These positions may also assist and guide the academic coordinators of other units within the discipline. 

Over time, staff appointed to these roles will be supported to engage with professional development opportunities to build their capability to lead change and improvement in teaching at the University. 

our key responsibilities will be to:

  • undertake a leadership role in educational innovation, curriculum design and review, contributing to outstanding educational delivery and outcomes
  • design and engage in high-quality teaching and learning experiences which meet the University’s expectations and standards for education
  • deliver outstanding teaching and learning outcomes for students
  • develop teaching and unit materials, working with more senior academics within the University 
  • maintain relevant Work, Health and Safety requirements and management including laboratory and/or field work
  • through research and scholarly creative work, contribute to knowledge within your discipline or area of expertise, particularly as it relates to teaching and learning in your discipline
  • develop and refine your education research skills, particularly as they relate to evaluating and improving teaching and learning in your discipline
  • maintain high quality, standards and excellence in your educational activities and output
  • contribute to the governance, leadership, and engagement work in your school.

The University of Sydney is recognised as one of the top research and teaching universities in the world.

The aims of these education focused roles are to attract and retain the best and brightest emerging academics, within a specialised category of academic engagement for talented educators with a passion for, and demonstrated excellence in, teaching, the student experience, pedagogical practice, and educational innovation.

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 talented academics who align to these values and who will lead our teaching and research work at the university in the years to come. You will join a dynamic, engaged group in a highly collaborative and supportive teaching and research environment.   

We are looking for candidates who understand the principles and pedagogy of good curriculum and assessment design, and who will make a significant contribution to improving the student experience at the University. Successful candidates will understand or be willing to learn the research principles around teaching and learning design, delivery, and evaluation. They will have a demonstrated ability to interact effectively with students, facilitating and guiding their learning in research, theory, and laboratory sessions. They will also have demonstrated ability to conduct research and (at all levels, but particularly at Level C and D) a willingness to develop a program of education-related research over time.

We are therefore looking for Sydney Horizon Educators who have:

  • a PhD or nearly completed a PhD in an academic field relevant to the discipline
  • experience in assessment, feedback and learning by design
  • experience in contributing to outstanding educational design, delivery, evaluation and outcomes
  • a developing network of relationships with key academic, industry or professional institutions partners and stakeholders
  • demonstrated experience in supervising or mentoring others and/or coordinating team activities
  • sound experience of teaching and learning, and the ability to contribute to teaching at undergraduate, honours and postgraduate levels in lecture, tutorial and practical settings.
  • a high level of interpersonal skills including the ability to work collaboratively with colleagues
  • a record of excellent teaching, learning, and assessment practice in a tertiary environment, as evidenced through student and supervisor feedback
  • high-level written and verbal communication skills
  • the capacity to engage students and enable a supportive, inclusive learning environment
  • proven experience in designing, implementing and evaluating teaching and learning initiatives
  • a demonstrated commitment to excellence in undergraduate teaching
  • the ability to work collaboratively with other staff, including professional staff, and foster principles of equity, diversity and inclusion.

Senior Lecturers who, in addition to the above can demonstrate:

  • their knowledge and understanding of the key, strategic, education-related issues in the higher education sector and/or the University
  • their experience as an effective unit, course or program coordinator or director (especially for large classes), as evidenced by student and staff feedback 
  • some experience in people leadership within the higher education sector
  • significant capability in educational leadership, service, governance, and engagement (either through their work at a university or through association with a non-university organisation).

The position level will be determined based on the candidate’s skills, experience, and knowledge assessed by the selection committee.

Pre-employment checks

Your employment is conditional upon the completion of all role 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.

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.

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, including women. 

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer.
Find out more about our work on diversity and inclusion.

How to apply

Please prepare and upload a statement indicating how you believe you meet the criteria outlined in the advertisement (maximum 3 × A4 pages) and a CV which can be submitted via the Apply button at the top of the page. Applications will be reviewed as received.

Current employee of the University or a contingent worker with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

Anticipated timelines 

Please refer to the Recruitment Guidelines for key information about this recruitment campaign.

Contact Information

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Helen Efstathiou, Recruitment Consultant. Recruitment Operations, Human Resources on +61 2 8627 7137 or by email hr.recruitmentcampaign@sydney.edu.au

For more information and to apply: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Lecturer-in-Mathematics

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

Two positions in Statistics: University of Western Australia

Closing date: 19 Feb. 2024
Position: Lecturer / Senior Lecturer
Location: Department of Mathematics and Statistics, University of Western Australia


As the appointee you will, conduct high quality and high impact research in Statistics and related areas. As a passionate advocate for teaching excellence the successful candidate will develop and deliver undergraduate and masters curricula that focus on Statistics and Data Science, as well as contributing to the Department, School, and University community by contributing to service activities.

You will display enthusiasm for scholarship, capacity for academic leadership, willingness to engage with industry and other Departments and Schools within the university, and a strong desire to participate in undergraduate and postgraduate teaching.

More information & apply:

https://external.jobs.uwa.edu.au/en/job/516413/lecturer-senior-lecturer

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 in Mathematics @Sydney

Closing date: 17 August 2023; 11:59pm
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Remuneration: Base Salary Level B, $113K – $134K + 17% superannuation
Status: Full time, 3 years, fixed term.
Reference: 0107501-1

• Full time, 3 Years Fixed Term. Located on the Camperdown Campus at the School of Mathematics and Statistics
• Opportunity to join a vibrant and collegial community of world-class mathematicians and statisticians
• Base Salary, Level B $113K – $134K p.a. + 17% superannuation

About the opportunity

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. The University also hosts the Sydney Mathematical Research Institute (SMRI), which attracts leading mathematical scientists from all over the world to do research with Australian collaborators. We are currently seeking to appoint an accomplished academic to the position of Lecturer in Mathematics. To succeed, you will be a talented and well-qualified mathematician with a passion for teaching and research expertise in an area that strengthens the school’s profile and align with the research interests of SMRI’s director Professor Geordie Williamson. This includes, but is not limited to algebra, geometry and representation theory. In particular, researchers with background in geometric representation theory, algebraic geometry or homotopy theory are particularly encouraged to apply. You will need to have appropriate skills and qualifications as outlined in the position description, including a PhD in Mathematics.

If appointed, you will be expected to undertake duties consistent with an appointment at the Lecturer level (Level B) on the Australian academic scale. This will include: publishing scholarly papers in international peer-reviewed journals and presenting at conferences; supervising undergraduate and postgraduate students; teaching a range of courses to undergraduate students; and applying for external funding.

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 a Lecturer/Senior Lecturer who has:

• a PhD in Mathematics
• evidence of independent research ability
• demonstrated evidence of independent research ability and potential in an area of Mathematics
• published research, as a sole author or in collaboration, in refereed journals
• evidence of ability, versatility and commitment to excellence in undergraduate teaching
• ability to supervise students at undergraduate and postgraduate levels
• evidence of administration and course coordination within a university environment and the ability to apply for competitive research funding would be highly desirable.

The position is full-time fixed-term for three years, subject to completion of a satisfactory probation and confirmation period for new appointees.

To apply for this role, please submit the below three documents in addition to your CV, in support of your application:

  1. cover letter outlining your suitability for this position
  2. research statement, with a focus on where you see your research in 3 years
  3. teaching statement, with a focus on approaches you utilize for effective teaching

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.

Pre-employment checks

Your employment is conditional upon the completion of all role 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

For more information and to apply: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Lecturer-in-Mathematics_0107501-1

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

PostDoc in Algebra at University of Western Sydney

Position: PostDoc in Algebra at Western Sydney University, Mathematics Dept.
Duration: 2 years (with a possible extension) Should start before 2024.
Salary range: $102,737 to $108,997 (Australian Dollars)
Closing date: 21 July 2023
 

We are looking for someone with a broad Algebra or Operator Algebra training. The applicant is expected to work on areas related to the project of Roozbeh Hazrat “Graded symmetry in Algebra and Analysis”, in particular, the structure of combinatorial algebras, such as Leavitt paths algebras and invariants for their classifications. These algebras have appeared in a variety of different contexts as diverse as analysis, symbolic dynamics, noncommutative geometry, and representation theory.

The external principal collaborators in the project are Prof. Søren Eilers (Copenhagen) and Ben Steinberg (New York).

Position Enquiries:

Please contact Roozbeh Hazrat via email r.hazrat@westernsydney.edu.au

WSU job site: https://uws.nga.net.au/?jati=457712B5-52EA-594B-A539-D1AA7990628B

Lecturer/Senior Lecturer in Applied Mathematics @Sydney

Closing date: Thursday 12 January 2023; 11:59pm
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Remuneration: Base Salary Level B/C, $113,184 – $159,867 + 17% superannuation
Status: Full time continuing opportunity.
Reference: 0098923

About the opportunity

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.

As a Lecturer/Senior Lecturer in Applied Mathematics you will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build your research contribution, expertise and impact. 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.

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 a Lecturer/Senior Lecturer who has:

• a PhD in Applied Mathematics, Mathematics, Statistics, Data Science, or related areas
• evidence of independent research ability
• evidence of ability, versatility and commitment to excellence in undergraduate teaching
• experience supervising research students
• a developing network of relationships with key academic, industry, and professional institutions, partners and stakeholders
• experience in supervising or mentoring others and/or coordinating team activities
• a developing knowledge and understanding of the key strategic issues in the discipline and higher education sector

For appointment at Level C, we would like to see evidence of:
• experience supervising students at postgraduate level
• experience lecturing applied mathematics, pure mathematics, statistics, or data science
• significant contribution to research and practice in the discipline, compatible with Senior Lecturer standards at The University of Sydney

To apply for this role, please submit the below three documents in addition to your CV, in support of your application:

  1. cover letter outlining your suitability for this position and indicating whether you are applying for this role at a Lecturer or Senior Lecturer level.
  2. research statement, with a focus on where you see your research in 5 years
  3. teaching statement, with a focus on approaches you utilize for effective teaching in small and large class sizes

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.

Pre-employment checks

Your employment is conditional upon the completion of all role 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

For more information and to apply: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Lecturer-Senior-Lecturer-in-Applied-Mathematics_0098923-2

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

The winners of this year’s AustMS Medal, George Szekeres Medal, Gavin Brown Prize, and Mahony-Neumann-Room Prize have been announced!

Our sincerest congratulations to this year’s AustMS awardees!

2022 AustMS Medal

Guoyin Li

2022 George Szekeres Medal

Igor Shparlinski

2022 Gavin Brown Prize

Mark Holmes and Edwin Perkins
On the range of lattice models in high dimensions
Probability Theory and Related Fields 176, no.3 (2020): 941-1009

2022 Mahony-Neumann -Room Prize

Satish K. Pandey and Vern I. Paulsen
A spectral characterization of AN operators
J. Aust. Math. Soc. 102 (2017), no. 3, 369–391.

Lecturer in Mathematical Modelling @QUT

Closing date: 5 December 2022
Campus: Gardens Point, School of Mathematical Sciences, Faculty of Science, Academic Division, QUT
Remuneration: $AUD119,829 to AUD$142,312 pa (LEVB) (inclusive of $AUD101,257 to $AUD120,255 pa salary, 17% superannuation and 17.5% recreation leave loading)
Status: Ongoing, full-time basis

Open to women applicants only. The filling of this position is intended to promote equal opportunity for women in STEMM by improving the under-representation of women and constitutes a special/equal opportunity measure under section 105 of the Anti-Discrimination Act 1991 (Qld).

For more information and to apply, please check the QUT Site.