Lecturer / Senior Lecturer in Statistics/Mathematical Data Science @UQ

Campus :The School of Mathematics and Physics, University of Queensland
Remuneration: Level B / Level C
Status: Continuing
Reference: R-35375
Closing date: 3 April 2024

• School of Mathematics and Physics
• Join a school that is recognised internationally for its high-quality teaching and impactful research.
• Family-friendly workplace that offers flexible work options, holding the Silver Pleiades Award for a positive working environment and the School encourages applications from individuals in groups traditionally under-represented in the mathematical sciences.
• Join a university ranked in the world’s top 50.
• Based at our St Lucia Campus.

As part of the UQ community, you’ll 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.
At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. UQ has made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers.
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 School of Mathematics and Physics (SMP) sits within the Faculty of Science. It is one of the largest Schools at The University of Queensland (UQ). Its strengths lie in delivering high-quality teaching, conducting research that is recognised at national and international levels, and contributing to society through its engagement with industry, government and the broader community. It is a multidisciplinary School that pursues excellence across all of its academic endeavours.

We are seeking a candidate with a strong research background in statistics or mathematical data science for a continuing Teaching and Research position. The role involves active participation in undergraduate and postgraduate teaching, curriculum development, and service courses. The successful appointee will supervise Higher Degree by Research (PhD and MPhil), postgraduate coursework, and Honours students while conducting high-quality research. Additionally, responsibilities include administrative tasks, outreach initiatives, and other activities associated with the School.

The School of Mathematics and Physics values diversity and inclusion and actively encourage applications from individuals in groups traditionally under-represented in the mathematical sciences. Further information can be found here.

Key responsibilities will include:

• Teaching across different settings and actively contributing towards educational practice and innovative curriculum design, including online learning and alternative teaching methods.
• Coordinating courses, preparing and delivering lectures and tutorials, and undertaking assessment and marking for undergraduate and postgraduate courses.
• Contributing to the development of new programs and course material as needed.
• Additionally, at Level C: Supporting the ongoing improvement of programs via successful coordination of a significant aspect of a program or a significant contribution to the development or coordination of teaching to ensure courses are engaging, relevant and contemporary.

• Developing an independent and/or team research program to achieve recognition and impact in the research area.
• Working with colleagues and postgraduates in the development and conduct of joint research projects and applications for external research funding support as a chief investigator.
• Maintaining an active and effective record of publishing in high-quality research journals, other appropriate refereed publications and conference publications.
• Additionally, at Level C: Encouraging, initiating and coordinating strategic collaborative research projects in related area of expertise across University, national and international levels.
• Supervision and Researcher Development
• Supervising Honours, Masters and Higher Degree by Research students.

Further information can be found by viewing UQ’s Criteria for Academic Performance.

This is a full-time (100%), continuing Teaching and Research position at Academic Level B or C, commensurate with relevant skills and qualifications. As this role is covered by an Enterprise Agreement, you will also receive regular remuneration increases.

The Level B full-time equivalent base salary will be in the range of AUD$108,201 – $128,201 plus a generous super allowance of up to 17%. The total FTE package will be up to AUD$126,595 – $149,996 annually.

The Level C full-time equivalent base salary will be in the range of AUD$132,201 – $152,202 plus a generous super allowance of up to 17%. The total FTE package will be up to AUD$154,676 – $178,076 annually.

You should possess a PhD or equivalent in statistics, mathematical data science or a closely related field.
Additionally, you should be able to demonstrate:

• A growing profile of contributions towards a range of teaching responsibilities, evidence for which can include designing effective learning materials and assessment tasks; using effective teaching and learning approaches; coordinating courses; and participating in a range of student experiences.
• A developing national profile in research in the discipline area, evidence for which can include: a track record of publications in reputed refereed journals and fully-refereed conference proceedings; a contribution to the transfer of knowledge, technology and practices to research end users; and the development of partnerships with research end users or external collaborators.
• Evidence of contributing to and sometimes leading applications for external research funding.
• A growing record of effective supervision of Honours, Masters and Higher Degree by Research students, evidence for which can include: supervisory role contributing to successful completion of Honours, Masters or HDR students; development of supervisee capabilities and skills; demonstrating the responsible conduct of research; and facilitating engagement opportunities for supervisees.
• Effective performance of internal service roles in conjunction with active contributions to external activities.

• An established profile of effective contributions towards a range of teaching responsibilities, including improving curriculum design and assessment practices, modifying teaching and learning approaches to achieve enhanced learning outcomes, and leading courses, discipline plans or programs.
• Evidence of building and maintaining education collaborations and undertaking professional learning in teaching.
• National recognition, with a developing international profile, in research in the discipline area, evidence for which can include: an established record of publications in reputed refereed journal and conference presentations; a contribution to the transfer of knowledge, technology and practices to research end users, and the development of partnerships with research end users or external collaborators.
• Evidence of contributing to and often leading successful applications for external research funding.
• An established record of effective supervision of Honours and Higher Degree by Research students to successful completion, evidence for which can include: supervisory role contributing to successful completion of Honours or HDD students; developing supervisee capabilities and skills, leading others in the responsible conduct of research, and facilitating engagement opportunities for supervisees.
• Demonstrated achievement and initiative in internal service roles in conjunction with an established record in external activities.

Candidates who meet most, but not all, of these selection criteria are still encouraged to apply.

Relocating from interstate or overseas? We’ll support you with the visa sponsorship process and a relocation support package. You can find out more about life in Australia’s Sunshine State here.

For more information about this opportunity, please contact Professor Jorgen Rasmussen via [email protected] .

For application queries, please contact [email protected]  stating the job reference number (below) in the subject line.

To submit an application for this role, go to the UQ Careers portal https://careers.uq.edu.au/  and search R-35375. Please use the Apply button.

All applicants must upload the following documents in order for your application to be considered:

• Resume
• Cover letter addressing the ‘About You’ section

At UQ we know that our greatest strengths come from our diverse mix of colleagues, this is reflected in our ongoing commitment to creating an environment focused on equity, diversity and inclusion. We ensure that we are always attracting, retaining and promoting colleagues who are representative of the diversity in the broader community, whether that be gender identity, LGBTQIA+, cultural and/or linguistic, Aboriginal and/or Torres Strait Islander peoples, or people with a disability. Accessibility requirements and/or adjustments can be directed to [email protected] .

Applications close 3 April 2024 at 11.00pm AEST (R-35375). Applicants invited for interview will be asked to present a shortened undergraduate-level mock lecture and a research seminar on the afternoons (local Brisbane time) of April 30 & 1 May as part of the selection process. Please note that interviews have been scheduled for 2 May 2024.

For candidates to apply, they will need to please visit https://uq.wd3.myworkdayjobs.com/en-US/uqcareers/details/Lecturer—Senior-Lecturer-in-Statistics-Mathematical-Data-Science_R-35375-1?q=%20R-35375 .