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

Job Description

Te Whiwhinga mahi | The opportunity

Shape the future of Statistics education and research in Aotearoa New Zealand

Te Kura Tatauranga | Statistics and Te Kura Mātauranga Koiora | Biological Sciences are seeking an early-career academic to join us as a jointly appointed Lecturer on a permanent contract. This is an exciting opportunity to build your academic career in a high-performing, globally recognised department known for excellence in both teaching and research.

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 this position 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.

He kōrero mōu | About you

We’re looking for emerging academics who are passionate about teaching and research, and ready to take the next step in their academic career.

Essential requirements

• 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, and who have an interest in biological data.

The ability to conduct in-person and hybrid teaching in China is also advantageous.

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
• 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.

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 4th September 2026 to be considered. Please include your cover letter and CV, highlighting how you can meet the aforementioned skills and experience.

Your CV should include a list of refereed publications and a list of courses you have taught, clearly indicating whether you were giving lectures or tutorials and the level of independence in your teaching. Also, if you have recent student evaluations of your teaching or other teaching reviews, please upload them.

If needed, you may reach out to Beatrix Jones (incoming Head of Department) via [email protected] for a confidential conversation. Please note we are happy to answer your questions, but we do not accept applications by email.