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 skilled 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 teac

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📌 Lecturer in Mathematics/Quantitative Science (Queensland)
🏢 PVH (Tommy Hilfiger/Calvin Klein)
📍 Queensland