Associate Professor or Professor of Statistics / Analytics

New Zealand
Sep 16, 2019
Sep 30, 2019
Organization Type
University and College
Full Time
Auckland University of Technology (AUT) is vibrant, achievement-oriented and a rewarding place to work. As one of the world's top 30 millennial universities and New Zealand's newest, it offers a stimulating teaching and research environment with strong connections to government, business and industry. AUT has over 29,000 students and 2,500 staff across our three teaching campuses and is located in New Zealand's largest city, Auckland - consistently ranked as one of the world's most liveable cities.

AUT's Department of Mathematical Sciences (part of the School of Engineering, Computer and Mathematical Sciences ) has a strong statistical analytics focus with strong industry linkage. Our staff routinely publish in top-ranked international journals and their research regularly informs government policy. We have growing numbers of PhD, Masters and Honours students and one of the largest Mathematical Sciences postgraduate programmes within New Zealand - enjoying particularly outstanding growth in our Master of Analytics programme, launched in 2015.

Our ambitious Head of Department highly encourages staff to show their potential, vision and ideas. You'll join an open and highly collaborative group that supports the growth of its people and enjoys sharing ideas. There is genuinely positive energy within the department and we offer an excellent research environment, with generous research support. The Faculty also offers a variety of contestable research funds. AUT also prides itself on its high-quality teaching informed by our research, providing students with rigorous analytical skills.

The Role

We are seeking to appoint a passionate and committed Associate Professor or Professor to make outstanding contributions within one or more areas in the statistical sciences such as (but not limited to) Bayesian statistics, statistical data analysis and modelling, multivariate analysis, time-series and forecasting, or stochastic operations research.

You will directly impact the department's teaching environment along with its research direction and project activities with industrial partners. You will enjoy building links with industry and conduct high-quality scholarly research to solve industrial problems, whilst supervising postgraduate students and support the development of their research. You will also provide academic leadership to the department's Statistics/Analytics team and programmes (including the Master of Analytics and our analytics research team).

Applications and Key Selection Criteria

We welcome applications from suitably qualified senior academics and request they submit a cover letter, full CV (including a full list of publications and contact details of at least two referees) plus a statement addressing the following key selection criteria:
  1. PhD in a statistical or data analytics related field
  2. Sustained outstanding contribution and impact in research and scholarship at a national and/or international level within one or more areas in the statistical sciences such as (but not limited to) Bayesian statistics, statistical data analysis and modelling, multivariate analysis, time-series and forecasting, or stochastic operations research
  3. Sustained outstanding contribution and effectiveness in teaching, assessment and curriculum design with evidence of a scholarly approach to teaching, including the supervision of postgraduate students to completion
  4. Sustained outstanding contribution and impact in service both to your university and the external community
  5. A track record of successful research grant applications and experience with industrial and/or business applications
  6. Sustained outstanding academic leadership and service (required to be appointed to the professoriate)
  7. Experience in establishing effective and enduring relationships with business, government, professional groups and/or the wider community
  8. Applicants are welcome to add further comments of their own, which they feel of relevance to the role and its requirements.

If you are looking for your next challenge and want to make a real difference with your academic leadership at an innovative, forward-thinking university - apply now.

For enquiries of an academic nature:

contact Professor Jiling Cao, Head of Mathematical Sciences Department .

For recruitment enquiries:

contact Mike Wood, Executive Recruitment Partner or Alycia Hurley, Senior Recruitment Consultant .

Expected Start Date:

June 2020 (or by negotiation).
  • Advertising closes: Monday, 30 September 2019 at 23:55pm
  • Reference: 67094

Auckland University of Technology is an EEO employer, we are committed to the Treaty of Waitangi and to equity. AUT aspires to be the University of choice for Maori and Pacific communities.

Please note that all applications must be submitted through the online application process. For further information, please send us an enquiry here or call 921 9499. Please note we are happy to answer your questions but we do not accept applications by email. You will need to apply through the standard registration process.

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