Pouako Te Kura Mātai Rorohiko | Lecturer in Computer Science
Auckland, New Zealand
University of Auckland
The University of Auckland is New Zealand’s world-ranked university.Job Description
Hapaitia te ara tika pumau ai te rangatiratanga mo nga uri whakatipu
Foster the pathway of knowledge to strength, independence and growth for future generations
Waipapa Taumata Rau | The University of Auckland
This is a pivotal time to join the University as we implement Taumata Teitei, our strategic plan and vision. Taumata Teitei identifies our purpose as “recognising globally transformative impacts through our distinctive strengths in world-leading research, scholarship, teaching and collaborative partnerships inspired by our unique position in Aotearoa New Zealand and the Asia-Pacific” consistent with our Te Ao Māori principles of Manaakitanga, Whanaungatanga and Kaitiakitanga.
Te Whare Pūtaiao | The Faculty of Science at Waipapa Taumata Rau is the leading science faculty in New Zealand and 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 ten schools and departments, learning from internationally renowned lecturers.
The Faculty is proud to contribute to Mātauranga Māori scholarship, and is home to a number of prominent Māori Academics, as well as a strong Māori staff network - Te Taura Here Pūtaiao - that spans the Faculty and provides support and collaborative opportunities for teaching and research.
Te Whare Pūtaiao | The Faculty of Science also values the tohu and āwhina of their Manupiri Māori |Associate Dean Māori and faculty Kaiārahi.
Te Whiwhinga mahi | The opportunity
Te Kura Mātai Rorohiko | School of Computer Science is currently looking for an early-career or emerging academic, or someone who is passionate about teaching and has industry experience, of Māori whakapapa to join our growing, diverse and internationally renowned school. You will be joined by a rōpū of three other recently hired Māori academics, contributing to the establishment of Kaupapa Māori scholarship within the school. The School itself is also rapidly growing, with strong research groups in Cyber Security, Network and Distributed Systems, Human-Computer Interaction (HCI), Machine Learning, and Software Engineering, making this an exciting time to come aboard.
We are interested in speaking to candidates who have research interests within and outside of strictly computer science areas, that intersect with te ao Māori, Mātauranga Māori or indigeneity, including (but not limited to) indigenous approaches to machine learning and AI, Māori data sovereignty, diversity in technology and Māori approaches to design. Hence, we are open to candidates from a range of disciplines or industry backgrounds including computer science, software engineering, data science, information systems, bioengineering, creative arts, philosophy, and law. Some expertise in cloud computing, cyber security, data privacy or applications of Machine learning and AI are also advantageous to teach into our undergraduate and postgraduate programmes.
The School values interdisciplinary research and teaching, and is actively involved in several cross-faculty research projects and educational programmes. Successful candidates must be capable of and interested in facilitating cross-disciplinary interactions both within Computer Science and across the university.
In this role, you will establish and develop your own research programme, contribute to the development of the field, and provide postgraduate supervision. You will teach and contribute to the development of our undergraduate and postgraduate programmes, embedding te ao Māori into teaching delivery, and supporting tauira Māori success. You will build relationships and engage with industry and research collaborators, Māori communities, iwi/hapū, and other partners throughout the Pacific and Internationally.
This is a full time, 40 hours per week, permanent role. The salary range for this role is L1-L7 $94,981-113,463 per annum.
For more detailed information, please refer to the Position Description.
He kōrero mōu | About you
Our ideal candidate:
- Has a PhD (or near completion) in computer science or a related field (including software engineering, data science, information systems, bioengineering, creative arts, philosophy, and law)
- OR a postgraduate degree in the above disciplines with 5 or more years of experience in the technology industry, and a willingness to complete a PhD with support from the University.
- Has demonstrated independence in research/technology development.
- Is committed to high-quality research-informed teaching of both undergraduate and postgraduate students.
- Has experience working in and with Te Ao Māori and Te Tiriti o Waitangi, and
- Has the ability to build strong relationships for and with Māori at whānau, hapū and iwi levels.
Mō tō mātou rōpū | About the team
Te Kura Mātai Rorohiko | The School of Computer Science is Aotearoa New Zealand largest, most diverse, and most accomplished. The school was founded in 1981. We employ more than 75 academic staff and 100 PhD students, and an ever-growing cohort of undergraduates. Waipapa Taumata Rau, University of Auckland is ranked 68 in the 2024 QS World University Rankings and the School of Computer Science has been ranked 112 in the 2023 QS World University Rankings by subject of Computer Science and Information Systems.
Our academics in the School 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 into Bachelors of Science, Technology, and Engineering programmes as well as supporting a vibrant postgraduate programme that attracts top quality Masters and PhD candidates. As a School, we strive 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.
Ngā āhuatanga kei a mātou | What we offer
Waipapa Taumata Rau, University of Auckland is New Zealand’s leading university and maintains significant computational, laboratory and analytic facilities.
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 of 7th July 2024 to be considered. Please include your cover letter and your CV highlighting how you can meet the skills and experiences detailed above.
Please reach out to Giovanni Russello, Head of School via g.russello@auckland.ac.nz for a confidential kōrero. Please note we are happy to answer your questions but we do not accept applications by email.
#LI-DNI
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
Tags: Computer Science Distributed Systems Engineering Machine Learning PhD Privacy Research Security Teaching
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Parental leave Startup environment Team events
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