Professional Teaching Fellow - Data Science - Te Kura Tatauranga | Department of Statistics

  • Full-time
  • Campus: Auckland City Campus
  • Position Number: 60016320
  • UoA Department Name: Statistics

Company Description

Waipapa Taumata Rau | The University of Auckland

Te Whare Pūtaiao | Faculty of Science is the leading science faculty in Aotearoa New Zealand and one of the largest in Australasia. We undertake world-class research across the physical, biological, and computational sciences. More than 8,000 students study across our ten schools and departments, learning from internationally recognised educators and researchers.

Our staff and students can connect with our flagship groups including Tuākana, Rainbow, Women of Colour, Māori, Pacific, Muslim, and Disabled Staff network and our Waipapa Marae.

Job Description

Te Whiwhinga mahi | The opportunity

Te Kura Tatauranga | The Department of Statistics offers a broad spectrum of statistics teaching and research. We are recognised internationally for our strong statistics education and as the birthplace of the statistical computing programme R.

We are currently looking for a Professional Teaching Fellow in Data Science to join our Statistics department where you will be responsible for developing and delivering innovative and high-quality teaching at all levels of our undergraduate and postgraduate courses in statistics, with an emphasis on data science. In particular, the successful candidate will join the team responsible for the organisation and delivery of our large scale first year courses in statistics. In addition, the role will include teaching in-person short courses in Data Science at our partner universities in China.

You will be encouraged to investigate novel strategies and technologies to enhance student learning and engagement, to support diverse styles of teaching and learning and delivery of high-quality course materials.

For more detailed information on the role, accountabilities, and requirements, please review this position description

This is a full-time (40 hrs per week) permanent role

The remuneration range is $107,016 - $117,208 per annum, dependent on skills and experience

He kōrero mōu | About you

You will have a PhD (awarded or anticipated in near future) in Statistics or in a closely related subject with a demonstrated knowledge of postgraduate level statistics. You should also have a demonstrated track-record in teaching applied statistics and/or statistical aspects of data science.

Ngā āhuatanga kei a mātou | What we offer

The University of Auckland is New Zealand's leading University and maintains significant computational, laboratory, and analytic facilities. Auckland is frequently rated as one of the world's most liveable cities. 

The University is committed to providing an excellent working environment through the following:

  • Flexible employment practices (including working from home and flexible hours)
  • Up to 6.75% company superannuation scheme
  • A competitive salary with five weeks' annual leave

In addition, we also offer career development programs, discounted car parking, a generous parental leave allowance, childcare, and other discounts on internal and external services. 

For more information, please visit Staff Benefits.

Me pēhea te tuku tono | How to apply

Applications must be submitted online by the closing date of 7th June 2026  to be considered. Please include your cover letter and CV, highlighting how you can meet the skills and experience detailed above.

Please reach out to Professor James Curran via [email protected] for a confidential conversation. Please note we are happy to answer your questions but we do not accept applications by email.

Additional Information

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.  For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz

 

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