Assistant/Associate Professor in Statistics or Applied Probability

University of Nottingham
Mathematical Sciences
Closing Date
WorkplaceNottingham, East Midlands, UK


Assistant/Associate Professor in Statistics or Applied Probability

£36261 to £61618 per annum (pro-rata if applicable) depending on skills and experience (minimum 51,630 at Associate Professor Level). Salary progression beyond this scale is subject to performance.

We are looking for an Assistant Professor or Associate Professor to deliver high quality teaching and undertake original research of international excellence in Statistics or Applied Probability, complementing and enhancing the current activity of the Statistics and Applied Probability group. Applications from excellent candidates in any area of Statistics or Applied Probability will be welcome, but we would be particularly interested to hear from candidates with expertise in one or more of Machine Learning, Bayesian Computation, Uncertainty Quantification and Financial Mathematics.

We believe that talented and inclusive teams deliver the highest quality research and are seeking applications from high quality candidates who enhance the diversity of our existing team. The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences.

You will be able to carry out duties to the highest standard and to evidence how, through your experience, you will:

  • Plan and deliver high quality teaching on undergraduate and MSc Statistics modules
  • Provide curriculum development within your own area of expertise and collaborate with colleagues to design courses and/or programmes
  • Develop research proposals to attract funding from Research Councils, Industry, EU, and other sources
  • Have a proven track-record in publishing research work of international quality in Statistics, Applied Probability or a related area
  • Contribute to the dissemination of research outputs at national/international conferences, workshops, and meetings

We are looking for a proactive, organised appointee who can evidence:

  • A PhD, or equivalent in Statistics, Applied Probability or a relevant field.
  • Excellent communication and organisational skills.
  • Good pedagogical skills required to teach a range of statistics (including service) modules.
  • Proven track-record in publishing research work of international quality in statistics or applied probability.

For appointments at the Associate Professor level, it is envisaged that, in addition to the above, you will have a substantial track record in the following areas:

  • Proven ability to provide strategic research leadership within areas of expertise.
  • Secured research funding from Research Councils, industry, EU and other funding sources.
  • Demonstrated success in delivering teaching within an agreed quality framework.

This is a permanent post which is available from 1 April 2020. Full-time work is 36.25 hours per week. Applications are welcome from candidates wishing to work part-time (minimum 29 hours per week). Please specify in your application if you wish to work part-time and the number of preferred hours. Job share arrangements may be considered for this post.

Informal enquiries may be addressed to Professor Andrew Wood tel: +44(0)115 951 4983, or email: Andrew.Wood [at] nottingham[.]ac[.]uk. Please note that applications sent directly to this email address will not be accepted.

Information about the School is available at: ?" target="_blank" rel="nofollow">www.?" target="_blank" rel="nofollow">

Our University has always been a supportive, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, visit; ?" target="_blank" rel="nofollow">https://www.?" target="_blank" rel="nofollow">


In your application, please refer to
and reference  JobID 173835.

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