2 x Lecturer - Artificial Intelligence (AI)

Company Description

Waipapa Taumata Rau | The University of Auckland

Ko te whare Pūtaiao | The Faculty of Science brings together 10 diverse schools and departments to provide outstanding quality teaching and research opportunities. Being the leading science Faculty in New Zealand and is one of the largest in Australasia, it undertakes world-class research across the physical, biological, and computational sciences. More than 8,000 students' study in our schools and departments, learning from internationally renowned lecturers.  We strive to provide a Faculty 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

Job Description

Te Whiwhinga mahi | The opportunity 

The School of Computer Science at the University of Auckland is currently looking for two early career academics to join our diverse and internationally renowned School at Lecturer level. If you are passionate about teaching and research, want to build lasting collaborations, and value diversity, we encourage you to apply. 

We are seeking dynamic candidates with expertise in Artificial Intelligence (AI), or any closely related fields. The ideal candidates should have experience in one of the following research domains: Generative AI and Foundation Models, AI for Ethical Decision-Making and Bias Mitigation, AI-Driven Drug Discovery and Healthcare Applications, Explainable AI (XAI) and Interpretability, and Autonomous Systems and Robotics. 
Industrial experience and/or experience of collaborative research with industrial partners would be a significant advantage.  

The School recognises this area as a priority, and we expect the successful candidates to contribute to the Master of AI and other similar programs offered by the School. 
The School values interdisciplinary research and teaching and is actively involved in several cross-faculty/cross-university research projects and educational programmes. Thus, the successful candidates must be capable of and interested in facilitating cross-disciplinary interactions both within Computer Science and across the university. 
Duties include the development of the applicants’ own research, development of the field, assessment tasks, grant applications, and research management such as supervision and training of research students. 

The School is committed to enhance the diversity of the workforce and the representation of minority groups in areas they have been traditionally under-represented. In particular, the School is seeking to increase the hiring of women, Māori and Pasifika into academic positions. We strongly encourage applications from suitably qualified candidates belonging to these groups.

Essential Knowledge, Skills and Experience:
•    A PhD in AI or an area closely related to this research discipline
•    Strong track-record of research as evidenced by peer reviewed publications in high-reputable conferences and journals in the field of AI
•    Demonstrated potential for research and grant funding success
•    Evidence of exposure to teaching at undergraduate/postgraduate levels 
•    A commitment to high quality research-informed teaching of both undergraduate and graduate students.
•    Demonstratable potential to build sustainable relationships with industry partners and the ability to promote partnerships with external/professional organisations/agencies.
•    Have an established network of research collaborators
•    Capable of successfully teaching AI and Machine Learning courses

This is a permanent, full-time 1 FTE (40 hours per week) role.

Remuneration: $94,981 - $113,465 (experience dependant) 

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

The successful applicants must also contribute to the School activities including world-class research, high-calibre teaching of large undergraduate courses and postgraduate courses, as well as the supervision of dissertations at the Honour’s, Master’s and PhD levels. 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.

Additionally, it would be nice to have:
•    Spent some years as Postdoc/Research Fellow
•    Industrial experience and/or experience of collaborative research with industrial partners would be a significant advantage.
•    1-2 years demonstrated tertiary teaching experience. 
•    Demonstrated effective supervision of PhD or Masters to completion
•    Evidence of curricula design of undergraduate/postgraduate levels 
•    Industrial experience and/or experience of collaborative research with industrial partners would be a significant advantage
•    Demonstrable potential for establishing meaningful engagements with Māori and/or Pasifika communities and stakeholders
•    Experience developing new teaching content and resources, and undertaking course coordination

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.

Me pēhea te tuku tono | How to apply

Applications must be submitted online, by the closing date 28th February 2024 of to be considered. We may close this advert early if we have a large number of applications. Please include your cover letter and your CV highlighting how you can meet the skills and experiences detailed above. In addition, a teaching philosophy statement and research statement would be beneficial

Please reach out to Head of School - Giovanni Russello
g.russello@auckland.ac.nz 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

The University is committed to providing a safe, inclusive, and equitable environment where everyone can thrive. For further information see Te Ara Tautika | the Equity Policy and visit www.equity.auckland.ac.nz