University of Waikato

Position ID: 3015-SLTF [#20463, 420379]
Position Title: Lecturer or Senior Lecturer or Teaching Fellow in Data Analytics
Position Type: Other
Position Location: Hamilton, New Zealand
Subject Area: Computing and Mathematical Sciences
Application Deadline: 2022/09/20 11:59PMhelp popup finished (2022/08/25, finished 2023/03/25, listed until 2023/02/25)
Position Description:    

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School of Computing and Mathematical Sciences

  • Lead and grow our Data Analytics capability and scope
  • Join our dynamic, thriving team in this key growth area
  • Make a difference by inspiring the next generation of Data experts

Ko wai koe? - Who are you?

You will have a PhD or Masters qualification in Statistics, Data Analytics or a relevant discipline area. This will be supported by your broad and in-depth knowledge of the following areas: Data Analytics and Statistics, the use of Statistics in other Science disciplines and a demonstrated high standard of tertiary level mathematics. Your expertise and interests will be reflected in an established record of quality published research or equivalent at national and preferably international level, with the potential to attract external research funding.

You will have demonstrated success in undergraduate teaching. You will bring your proven ability to communicate effectively with students and staff, along with your commitment to innovative teaching methods.

Ngā kōrero mō te tūranga - About the role

This is an immense opportunity to be part of building a data analytics group that is vibrant, collaborative and with real capacity to provide outstanding teaching across the university, as well as to service the needs of both University-wide research projects and external partners. In the last 12 months alone, there has been a rapid increase in the number of cross-disciplinary research projects between data analytics staff and the rest of the University. This is an exciting time to join us - the market trends in data analysis mean our group is in a place of huge potential.

The role requires your expert knowledge of Data Analytics, applied as a Lecturer or Senior Lecturer or Teaching Fellow.

The four pillars of the role require the following:

  • Teaching and Learning: Preparing and delivering innovative, research-informed lectures and the assessment of that learning
  • Supervision: Supervise honours, graduate and postgraduate students
  • Research: Build and maintain an active research programme and conduct quality research and contribute to knowledge development of your specialist areas through scholarship and publication
  • Service and Administration: Carry out administration and service relevant to the role

The salary range for a Lecturer is $80,837 to $97,051 per year, Senior Lecturer range is $99,780 to $130,902 per year and Teaching Fellow is $70,624 to $100,488.

Ko wai mātou? - Who are we?

The School of Computing and Mathematical Sciences comprises a number of Academic Programmes including, Mathematics, Statistics/Data Analytics, Computer Science, Software Engineering and Design. The School offers a range of qualifications at undergraduate, post-graduate and professional training levels.

The Division of Health, Engineering, Computing and Science (HECS) undertakes teaching and research in a range of core disciplines grouped under four academic schools. The Division also has several research units, and commercial/equipment units which embody staff and research activities.

He aha ngā take me tono mai ai koe? - Why should you apply for this position?

You can be part of our success! Our University provides a unique and satisfying work environment with many benefits for our staff including flexible working, study opportunities, generous superannuation and leave provisions. We stand proudly on the world stage as a provider of future-focused, international education and an active player in global research. Our rankings reflect these strengths.

At Te Whare Wānanga o Waikato, the University of Waikato, we embrace equity and diversity; therefore, we strongly encourage applicants with the relevant capabilities from all backgrounds to apply. We would greatly value seeing applicants from our Māori and Pacific communities.

For a confidential conversation about the role, please contact Annika Hinze,

To view the position description, please click here

Vacancy Number: 420379

For further information and to apply online, please click here.

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Contact: Annika Hinze
Email: email address
Postal Mail:
Hillcrest, Hamilton 3216
Web Page: