University of Nottingham

Assistant Professor in Statistics or Applied Probability

2023-12-01 (Europe/London)
Save job

About the employer

We are a pioneering institution that provides an exceptional research-led education for 45,000 students from over 150 countries.

Visit the employer page

Mathematical Sciences

Location:  University Park 

Salary:  £40,521 to £56,021 per annum (pro-rata if applicable) depending on skills and experience. Salary progression beyond this scale is subject to performance. 

Closing Date:  Friday 01 December 2023 

Reference:  SCI507923

We are looking for an Assistant 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 Probability (SP) Section. The School of Mathematical Sciences was ranked in the top 3 for quality of research environment and with 98% of our research being classed as ‘world-leading’ or ‘internationally excellent’. Τhe highly research active and growing SP Section comprises 16 permanent academic staff with research interests in Bayesian computational statistics and machine learning, uncertainty quantification, Bayesian non-parametrics, image analysis, geometric statistics, and stochastic processes with an internationally leading research group in epidemic modelling. Furthermore, Section members collaborate with colleagues within the School and beyond, in projects at the interface of statistics, numerical analysis, scientific computation and the mathematics of machine learning.

We welcome applications from excellent candidates in any area of Statistics or Applied Probability.

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 and strives to maintain an environment where people can be their authentic selves.

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

  • Undertake original research and develop research proposals to attract funding from Research Councils and other sources;
  • Contribute to the dissemination of research outputs at national/international conferences and workshops;
  • Plan and deliver high quality teaching on undergraduate and postgraduate modules including via distance learning;
  • Provide curriculum development within your own area of expertise and collaborate with colleagues to design and develop courses and/or programmes.

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

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

This is a permanent post available from the 3rd April 2024. Hours of work are full-time (36.25 hours) ; however applications are also 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. Many of our team have flexible working patterns so we’re open to discuss flexible working arrangements with you.

If it sounds like you would be a good fit, we look forward to hearing from you.

For information about the School of Mathematical Sciences see: http://www.nottingham.ac.uk/mathematics/index.aspx

Informal enquiries may be addressed to Professor Theodore Kypraios (Head of Statistics and Probability Section) email: theodore.kypraios@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

Further details:

View Additional Information (this will open a new window)

Our University is a supportive, inclusive, caring and positive community. We 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, see our Moving to Nottingham pages.

Applicants for this post will be considered on an equal basis, subject to the relevant permission to work in the UK as defined by the requirements set out by UK Visas & Immigration.  Please visit: https://www.gov.uk/government/organisations/uk-visas-and-immigration for more information.

For successful international applicants, we provide financial support for your visa and the immigration health surcharge, plus an interest-free loan to help cover the cost of immigration-related expenses for any dependents accompanying you to the UK. For more information please see our Financial support for visas and the immigration health surcharge webpages.

Job details

Title
Assistant Professor in Statistics or Applied Probability
Location
University Park Nottingham, United Kingdom
Published
2023-11-09
Application deadline
2023-12-01 23:59 (Europe/London)
2023-12-02 00:59 (CET)
Save job

More jobs from this employer

About the employer

We are a pioneering institution that provides an exceptional research-led education for 45,000 students from over 150 countries.

Visit the employer page

This might interest you

...
Unlocking the Brain with Biostatistics King Abdullah University of Science and Technology (KAUST) 5 min read
...
Futureproofing Computer Security Centrum Wiskunde & Informatica (CWI) 4 min read
...
Better Statistics Leads to Better Research Centrum Wiskunde & Informatica (CWI) 5 min read
...
Making the Invisible Visible Centrum Wiskunde & Informatica (CWI) 5 min read
...
Using Statistical Models to Solve Environmental Problems King Abdullah University of Science and Technology (KAUST) 4 min read
More stories