• School of Mathematics and Physics

• 2 x Full Time, permanent positions

• Diverse, supportive, and family-friendly work environment

• Base salary will be in the range of $119,462.94 – $141,545.09 + 17% super. (Academic Level B).

• Based at our St Lucia location 

About this opportunity

The School of Mathematics and Physics and the Faculty of Science are committed to ensuring that our graduates are equipped to succeed in a rapidly changing, highly technological world. The ability to think critically and solve problems, as well as to apply sophisticated quantitative reasoning and appropriate computer programming techniques, are fundamental skills for 21st century science graduates. Within science programs at UQ, the foundations for these skills are developed through two courses SCIE1000/1100 “Theory and Practice in Science” and STAT1201/1301 “Analysis of Scientific Data”. This is an exciting opportunity for two teaching-focused Lecturers to grow their teaching impact through leadership in embedding a technical background of generative AI and machine learning into Science and Mathematics programs at UQ. 

As teaching-focused Lecturers, the appointees will also be expected to:

• Teach and coordinate courses;

• Engage in research and/or other appropriate activities, for example in the Scholarship of Teaching and Learning or a discipline appropriate to their background;

• Supervise research projects for both undergraduate and postgraduate students;

• Perform administrative and other activities associated with the School, Faculty and wider university.

In the longer term, the appointee will expand their teaching activities, help determine the long-term strategic direction of mathematics and statistics education at UQ, and develop a broader leadership role in the scholarship of teaching and learning. They will innovate and contribute to the continued development and improvement of a variety of teaching programs across the School, Faculty and wider university.

 Key responsibilities will include:  

1. Teaching

• Coordinate courses, prepare and teach lectures and small class activities, design effective assessment and undertake marking for offerings including undergraduate and postgraduate courses.

• Work with course teaching teams to embed a technical background of generative AI and machine learning into core courses in the Faculty of Science, including SCIE1000/1100 and STAT1201/1301. 

• Develop evidence-based, innovative curriculum design and pedagogy that promote students’ understanding of generative AI and machine learning.

• Contribute to the development of new programs and course material as needed, by consulting with program advisors and stakeholders, ensuring courses are engaging, relevant and contemporary.

• Engage in educational collaborations to document and disseminate good teaching practices.

• Maintain and improve the quality of courses as measured through evaluation instruments to meet industry and educational standards.

• Undertake other activities which contribute to maintaining currency within the discipline and professional learning in teaching.

• Understand and apply University Policies and Procedures relevant to teaching and learning practice.

2. Research

• Publish in high-quality outlets, or produce research outputs through other mechanisms as appropriate, in their discipline and/or in scholarship of teaching and learning in a relevant discipline.

• Take an active role in obtaining funding to support projects and activities across discipline research and/or scholarship of teaching and learning research in a relevant discipline.

3. Supervision and Researcher Development 

• Effectively engage in supervision duties which may include supervising Coursework Masters, Honours, Higher Degree by Research and vacation scholars.

• Demonstrate active engagement in the responsible conduct of research, where applicable.

4.Citizenship and Service

• Consistently demonstrate behaviours that align to the UQ values.

• Actively develop external links by collaborating on external activities and fostering relationships with industry, government departments, professional bodies and/or the wider community.

• Perform a range of internal service roles and processes, including participation in decision making and service on relevant committees, as required.

These are teaching focused positions. Further information can be found by viewing UQ’s Criteria for Academic Performance

About You

Applicants should possess a PhD or equivalent in mathematics, statistics, or a closely related field. Additionally, you will demonstrate the following four criteria:

• Evidence of high-quality university teaching across a variety of settings, such as small and large groups, and preferably including course coordination responsibilities.

• An understanding of generative AI and machine learning, which may include evidence of successful incorporation of learning activities that develop students’ understanding of generative AI and machine learning. 

• An emerging profile of teaching impact in the discipline and/or emerging profile in scholarship of teaching and learning in the discipline and/or emerging research profile with high-quality outputs in the discipline.

• Well-developed communication, interpersonal and consultative skills, and the ability to work collaboratively with colleagues in teaching and learning.

We recognise that candidates may bring different strengths and experiences. The following criteria are desirable rather than essential, and we encourage you to highlight any relevant experience in your application:

• Participation in curriculum development at the program and/or course level in the discipline area.

• Evidence of involvement in the supervision of honours and Research Higher Degree students in scholarship of teaching and learning research and/or discipline research.

• Participation in projects that improve curriculum, pedagogy, or assessment practices of others, with funded projects being particularly desirable and/or a record of contributing successfully to applications for research funds.

About UQ

As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged. As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development.  

The greater benefits of joining the UQ community are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements, and genuine career progression opportunities via the academic promotions process.  

Interested? 

For more information about this opportunity, please contact the Head of Mathematics, Associate Professor Barbara Maenhaut via [email protected].

For application inquiries, please reach out to the Talent Acquisition team at [email protected], stating the job reference number (below) in the subject line.  

How to Apply

All applicants must supply the following documents through the UQ Careers portal:

• Resume

• Cover letter

• Responses to the criteria in the ‘About You’ section. 

Please note that applications received via email will not be accepted. 

About the Selection Process 

As part of the selection process, shortlisted candidates will be required to present a mock lecture and a teaching seminar to members of the School community prior to their interview. The topic for the mock lecture will be provided in advance. The teaching seminar may focus on any aspect of teaching and learning relevant to the candidate's discipline and experience, and should demonstrate their teaching impact and alignment with the strategic focus of the position. The mock lecture and teaching seminar will each be 25 minutes, followed by questions.

Other Information  

Pre-employment checks may include: verification of the right to work in Australia and qualifications. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements.  

Relocating from interstate or overseas? We may support you with obtaining employer-sponsored work rights and a relocation support package, however upfront costs will still be expected to be covered. You can find out more about life in Australia’s Sunshine State here.  

We are dedicated to equity, diversity, and inclusion. We recognise that career pathways and opportunities differ, and encourage applications from candidates who may not meet every criteria but can demonstrate their potential relative to opportunity. We are also happy to support any accessibility needs throughout the recruitment process. Just let us know how we can help by emailing [email protected] or calling +61 7 3365 2623.

Applications close Wednesday 26 August 2026 at 11.00pm AEST (R-67099). Please note that mock lectures, teaching seminars and interviews have been tentatively scheduled for the week commencing 21 September 2026.