University of Caterbury, New Zealand, powered by, Dr Aisling O’Sullivan (Ireland)

“Christchurch is a great city to live in. With the mountains and ocean on your doorstep it offers a terrific ‘playground’ for outdoor recreation. The fine weather and lack of traffic are far more attractive than Dublin. Interdisciplinary research collaborations are not necessarily contingent on large external research funding and we attract excellent postgraduates from overseas who bring a wealth of diversity of skills.”

Dr Aisling O’Sullivan (Ireland)
Senior Lecturer in Civil and Natural Resources Engineering

Lecturer/Senior Lecturer/Associate Professor in Statistics or Data Science

School of Mathematics and Statistics

  • Full-time 37.5 hours per week
  • Continuing i.e. permanent position 

Applications are invited for a continuing position at the level of Lecturer/Senior Lecturer/Associate Professor in the School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.

We are looking for people to contribute to the development of our teaching and research programmes in Data Science and Statistics. Our Data Science programme is relatively new and we are recruiting staff to support it. We are also seeking someone to lead the Data Science programme and take it to the next level.

In either role, as a part of the data science group, or the group leader, you will contribute to the vibrancy of the School’s research culture and teach also in the Statistics programme. You will be expected to undertake a range of teaching responsibilities for undergraduate students and to supervise research postgraduate students. Collaborative research, both within the university and externally, is encouraged.

You should have a Ph.D. or be near completion in Statistics, or have an equivalent qualification in a relevant subject. If you are interested in the positon for the group leader you should ideally have five years of relevant University or Industry experience.

The School of Mathematics and Statistics is a strong, forward-looking School, dedicated to excellence in teaching and research. For more about the School, please visit: 

The closing date for this position is: Sunday 10 September 2017 

The University of Canterbury is committed to promoting a world-class learning environment through research and teaching excellence, and has a vision statement of “People Prepared to Make a Difference”.  You will have the opportunity to work alongside members of a diverse academic community and enrich your own professional and personal development. 

For information about the range of benefits in joining UC please visit us online at: 

Applications for this position are submitted online and should include: 

  • a covering letter,
  • a full curriculum vitae with the contact details of 3 referees,
  • any teaching evaluations,
  • a 2-3 page document outlining your research interests and goals, your teaching philosophy, and how you will contribute to developing data science in our School.

Please ensure your application is uploaded as a single pdf file and that the file name is your surname, followed by your initial. 

For further information on the role, please contact Jennifer Brown at: 

The University of Canterbury is an EEO employer and actively seeks to meet its obligation under the Treaty of Waitangi.