Lecturer – Data Science/AI

Source: https://www.careers.auckland.ac.nz/career/lecturer-data-science-ai/ Parent: https://www.careers.auckland.ac.nz/

Faculty of Science

Lecturer - Data Science/AI

Full-Time
Permanent
School of Computer Science

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Additional information

Ko te whare Pūtaiao | The Faculty of Scienceat the University of Auckland is the largest and most highly ranked science faculty in New Zealand. The Faculty of Science is ranked among the top 90 science faculties worldwide by the QS World University Rankings. The 10 departments and schools that form the Faculty of Science represent the breadth and diversity of science in our modern world.

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.

Te Whiwhinga mahi | The opportunity

The School of Computer Science at the University of Auckland invites applications for a Lecturer position in Data Science/AI.

We seek an outstanding researcher and teacher who will contribute to our Data Science, Artificial Intelligence, and broader Computer Science programmes. Applicants should demonstrate strong research potential or achievement, an excellent publication record relative to career stage, and a commitment to high-quality, research-informed teaching.

We welcome applications from candidates working in any area of data science.\ However, applicants whose research intersects with Artificial Intelligence will be particularly competitive.

Areas of interest include, but are not limited to:

Data-centric AI and ML
Large-scale data analytics and intelligent data systems
Responsible and trustworthy AI
Applied machine learning and multimodal AI
Data engineering, MLOps, and scalable ML infrastructure
Statistical learning and advanced modelling
AI for science, health, sustainability, cybersecurity, or other application domains

Candidates who can teach foundational Data Science while advancing the School’s strategic strengths in AI are strongly encouraged to apply.

Our academics undertake research across a wide range of computing fields: software engineering, data science, algorithms and theoretical computer science, cyber security, communication and information technology, and systems development and evaluation. We teach in the Bachelor of Science, Technology, and Engineering programmes as well as supporting a vibrant postgraduate programme that attracts top-quality Masters and PhD candidates.

Your contributions will include world-class research, publishing in world-class journals and conferences, securing research grant funding, high-calibre teaching as well as supervision of capstone projects and dissertations at the Master and PhD level.

Essentials for this position are:

PhD in Computer Science with focus on Data Science, Artificial Intelligence, or a closely related discipline.
Strong track-record of research as evidenced by peer reviewed publications in high-reputable conferences and journals in the field of Data Science and/or AI

In addition, some of the following experience is a nice to have:

Experience as a Postdoc/Research Fellow
Experience in generating research grants
Some experience of curricula design and teaching at undergraduate/postgraduate levels, preferably in Data Science or AI topics
Experience to promote partnerships with external/professional organisations/agencies.
Experience in establishing a network of collaborators
Some experience in industry and/or collaborative research with industrial partners

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

Remuneration ranges between $99,788 – $112,730, depending on skills and experience

For more detailed information, please refer to the Position Description

Mō tō mātou rōpū | About the team

Te Kura Mātai Rorohiko/ The School of Computer Science was founded in 1981. We employ over 75 academic staff and have an ever-growing cohort of undergraduate and postgraduate students. Waipapa Taumata Rau/The University of Auckland is ranked 65 in the 2025 QS World University Rankings and the school has been ranked 99 in the 2024 QS World University Rankings by subject of Computer Science.

As a School, we are striving to provide a School that reflects the demographics of our student base and Aotearoa. Our staff and students can connect with our: Rainbow and Women in Science networks, Parenting support, our Waipapa Marae and our flagship Tuākana Māori and Pacific support programme

He kōrero mōu | About you

You will have excellent teaching skills and be a highly motivated team player with leadership potential. You will have a strong interest in providing learning support for Māori and Pasifika students; engage with Industry and stakeholders, including Māori and Pasifika communities.

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 itself is frequently rated as one of the world’s most liveable cities.

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

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

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

For more information, please visit Staff Benefits.

How to apply

Applications must be submitted online by the closing date of 31st March 2026 to be considered. Please include your cover letter and CV, highlighting how you can meet the skills and experience requirements detailed above. In addition, a teaching philosophy statement and research statement would be beneficial

Please reach out to Head of School – Giovanni Russello via g.russello@auckland.ac.nz for a confidential conversation. Please note we are happy to answer your questions, but we do not accept applications by email.

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Immigration & relocation support

To make the immigration process as easy as possible for our applicants, the University has an in-house immigration manager who is licensed by the New Zealand Immigration Advisers Authority to provide advice and support to staff as they navigate the visa and immigration process together.

Immigration and Relocation Support

Lecturer – Data Science/AI