Lecturer/Senior Lecturer/Associate Professor in Data Science at University of Canterbury

Lecturer/Senior Lecturer/Associate Professor in Data Science
School of Mathematics and Statistics

· Full-time (37.5 hours per week)
· Continuing (i.e. permanent) position

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

Data Science is a fast growing area and we are looking for people to contribute to the development of the teaching and research programme in the School of Mathematics and Statistics. Our data science programme is relatively new and we are recruiting staff to support the programme. We are also seeking someone to lead the programme and take it to the next level.

In either role, as a part of the data science team, or the team leader, you will contribute to the vibrancy of the School’s research culture. You will be expected to undertake a range of teaching responsibilities for undergraduate students (first to final year) 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 Data Science, or Statistics, or have an equivalent qualification. If you are interested in the positon for the Data Science leader you should have at least 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: http://www.math.canterbury.ac.nz/

The closing date for this position is: Tuesday, 28 February 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: http://www.canterbury.ac.nz/joinus

Applications for this position are submitted online at http://www.canterbury.ac.nz/joinus and should include:

· a covering letter,
· a full curriculum vitae with the contact details of 3 referees,
· any teaching evaluations,
· unofficial academic transcripts (in English),
· 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: Jennifer.Brown@canterbury.ac.nz

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

Please refer to http://www.canterbury.ac.nz/emaildisclaimer for more information.