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Posted 06 August, 2026

Pouako|Lecturer - Te Kura Tatauranga|Department of Statistics/ Te Kura Mātauranga Koiora - School of

University of Auckland
Auckland, AUK, NZ Full Time
Reference: 1f6420079ccea44e

Job Description

Full-time Campus: Auckland City Campus Position Number: 60020989 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 9,000 students study across our ten schools and departments, learning from internationally recognised educators and researchers. Shape the future of Statistics education and research in Aotearoa New Zealand As a Lecturer, you will play a key role across teaching, research, and service. You’ll contribute to a collaborative academic environment while developing your own research profile and supporting student success at all levels. Ngā Haepapa Matua | Key Responsibilities (not limited to): Deliver high-quality teaching at undergraduate and postgraduate levels Coordinate courses and develop innovative curriculum and learning materials Supervise Honours, Masters, and PhD students Establish and grow a strong research programme with high-quality publications and external funding Collaborate with colleagues locally and internationally Contribute to service and leadership within the Department and Faculty Support a diverse, inclusive, and equitable learning environment aligned with Te Tiriti o Waitangi For more detailed information on the role, accountabilities, and requirements, please review thisposition description. This is a full-time (40 hrs per week) permanent role. The remuneration range is $99,788 - $119,204 per annum, dependent on skills and experience. We’re looking for emerging academics who are passionate about teaching and research, and ready to take the next step in their academic career. PhD in Statistics, Data Science, or a closely related field An interest in biological data Demonstrated track record of publications in high-quality journals Ability to work independently across the full research and publication process Strong organisational skills Preferred experience Experience lecturing in Statistics or Data Science Evidence of teaching excellence (e.g. student feedback, peer review, awards) Experience supervising or co-supervising postgraduate research Ability to secure or show potential for research funding Experience contributing to academic service and administration We are particularly interested in candidates who can contribute to advanced Applied Statistics teaching, including areas such as deep learning, large language models, experimental design, and time series, andwho have an interest in biological data. The ability to conduct in-person and hybrid teaching in China is also advantageous. 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 Opportunity for Research and Study 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. Additional Information All your information will be kept confidential according to EEO guidelines. 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, LGBTQIATakatāpu iMVPFAFF+ , people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz #J-18808-Ljbffr

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