[Forum SIS] Lecturer / Senior Lecturer / Associate Professor in Statistics or Data Science

[Alberto Roverato]

Cari Soci, ricevo ed inoltro l'annuncio di posizioni aperte presso la 
Canterbury University di Christchurch, Nuova Zelanda.

Saluti,
alberto roverato


> *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 continuing positions 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 position for the group 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: 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: http://www.canterbury.ac.nz/joinus
> 
> *Applications for this position are submitted online and should include*:
> 
> ·        a covering letter
> 
> ·        a full curriculum vitae with the contact details of three 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 a canterbury.ac.nz <mailto:Jennifer.Brown a canterbury.ac.nz>
> 
> The University of Canterbury is an EEO employer and actively seeks to 
> meet its obligation under the Treaty of Waitangi.
> 
> This email may be confidential and subject to legal privilege, it may
> 
> not reflect the views of the University of Canterbury, and it is not
> 
> guaranteed to be virus free. If you are not an intended recipient,
> 
> please notify the sender immediately and erase all copies of the message
> 
> and any attachments.
> 
> Please refer tohttp://www.canterbury.ac.nz/emaildisclaimer  for more
> 
> information.
> 
> This email may be confidential and subject to legal privilege, it may
> not reflect the views of the University of Canterbury, and it is not
> guaranteed to be virus free. If you are not an intended recipient,
> please notify the sender immediately and erase all copies of the message
> and any attachments.
> 
> Please refer to http://www.canterbury.ac.nz/emaildisclaimer for more
> information.
> 

-- 
____________________________________________

    Alberto Roverato
    Dipartimento di Scienze Statistiche
    Universita' di Bologna
    Via Belle Arti, 41 - 40126 Bologna - Italy
    Tel       +39 051 2098235
    Fax       +39 051 232153
    e-mail    alberto.roverato a unibo.it
    homepage  http://www2.stat.unibo.it/roverato/homepage.html
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