Professional Teaching Fellow in Data Science

University of Auckland, New Zealand

Auckland, New Zealand

Application Deadline

Waipapa Taumata Rau | The University of Auckland

Ko te whare Pūtaiao/The Faculty of Science at the University of Auckland 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 10 schools and departments, learning from internationally renowned lecturers. 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.

Job Description

Te Whiwhinga mahi | The opportunity

The School of Computer Science at the University of Auckland is currently looking for an early career academic to join our diverse and internationally renowned school as a Professional Teaching Fellow. If you are passionate and enthusiastic about teaching and want to build lasting collaborations, and value diversity, we encourage you to apply.

The appointee will be in charge of (1) developing, coordinating, and teaching Data Science courses in the Data Science programmes for Computer Science, and (2) coordinating and supervising Data Science projects. Duties will include lecturing large classes, delivering and coding Data Science courses offered through Auckland Online, and coordinating Data Science projects. Experience in engaging and teaching students in any area of computer science is essential. The various Data Science programmes we offer are run jointly with our Department of Statistics, which invented R. We expect the successful candidate to contribute to the continuously growing success of these programs.

Applicants should have expertise in the area of Data Science and have expertise in any of the following fields: data mining, data management, machine learning and AI, statistics, and programming.

Strong organisational and interpersonal skills are important. Experience with students, supervision of projects, and exposure to lecturing is essential. Preference will be for applicants from under-represented groups – such as female, Māori, and Pasifika

This is a full time (40 hours per week), permanent position based on the University of Auckland's City Campus. Note that this is a teaching-only position.

Remuneration: PTF1, $100,696 per annum

For more detailed information, please refer to the Position Description.

He kōrero mōu | About you

Our ideal candidate will have:

  • A PhD degree (or close to submission) in Computer Science or relevant fields
  • Some degree of experience in university lecturing at undergraduate/graduate level
  • Demonstrated ability to use a range of teaching techniques and technologies to deliver an excellent student experience
  • Ideally having some experience in delivering courses through online teaching platforms
  • Demonstrated teaching that is informed by an understanding of research on teaching and learning in higher education
  • Ability to motivate, enthuse and inspire students
  • An understanding of equity concerns, and New Zealand’s diverse cultural population
  • Commitment to quality teaching

Mō tō mātou rōpū | About the team

The School of Computer Science is the Aotearoa/New Zealand largest, most diverse, and most accomplished. The school was founded in 1981. It now has more than 75 academic staff and 100 PhD students, and an ever-growing cohort of undergraduates. The University of Auckland is ranked 68th according to the 2024 QS World University Rankings and the school is among the top 8 Computer Science Schools in the Oceania Region.

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 of 24 March 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 the Head of School, Giovanni Russello via or a confidential conversation. Please note we are happy to answer your questions but we do not accept applications by emai

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