Assistant Professor in Statistics (Fixed term)

University of Nottingham; Nottingham; On-site; GBP 41,000 - 52,000; Full time

Job summary

The University of Nottingham seeks an Assistant Professor in Statistics for a fixed-term position focusing on high-quality teaching and research. Candidates should possess a PhD in Statistics or a related discipline, with excellent communication skills and a strong track record in research. This role involves developing curricula, delivering lectures, and engaging in research projects, offering an inclusive environment that promotes diversity and collaboration.

Benefits

Flexible working patterns

Support for career development

Inclusive work environment

Qualifications

• PhD, or equivalent in Statistics or a related field.
• Good pedagogical skills to teach a range of statistics/probability modules.
• Proven track-record in publishing research work of international quality.

Responsibilities

• Deliver high-quality teaching on undergraduate and postgraduate modules.
• Undertake original research and develop proposals for funding.
• Contribute to the dissemination of research outputs at conferences.

Skills

Statistical analysis

Machine Learning

Communication

Organizational Skills

Education

PhD in Statistics or related field

Job description

Assistant Professor in Statistics (Fixed term)

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Assistant Professor in Statistics (Fixed term)

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Join to apply for the Assistant Professor in Statistics (Fixed term) role at University of Nottingham

Salary

£41,671 to £51,039 per annum pro-rata depending on skills and experience. Salary progression beyond this scale is subject to performance.

Area

Mathematical Sciences

Location

University Park

Salary

£41,671 to £51,039 per annum pro-rata depending on skills and experience. Salary progression beyond this scale is subject to performance.

Closing Date

Wednesday 02 July 2025

Reference

SCI165525

We are looking for an Assistant Professor to deliver high quality teaching and undertake original research of international excellence in Statistics, 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’. The highly research active SP Section comprises 13 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, but particularly welcome applications from those with an interest in machine learning or artificial intelligence.

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

• Provide curriculum development within your own area of expertise and collaborate with colleagues to design and develop courses and/or programmes;
• Plan and deliver high quality teaching on undergraduate and postgraduate modules including via distance learning;
• 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.
  
  

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

We are looking for proactive, organised appointees who can evidence:

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

This full-time fixed term position is available from 01 September 2025 [or as soon as possible thereafter] until 31 st August 2028. 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) and job share arrangements may be considered. Many of our team have flexible working patterns so we’re open to discussing flexible working arrangements with you. Requests for secondment from internal candidates may be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role.

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

Informal enquiries may be addressed to Professor Peter Neal (Head of Statistics and Probability Section) email: [e-mail]. Please note that applications sent directly to this email address will not be accepted.

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Further details:

• Job Description/Role Profile
  
  

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. Visit our Equality, Diversity and Inclusion website.

We are proud to be a Disability Confident Employer (Level 2) employer . Increasing the diversity of our community is extremely important to us and we are committed to the aims of Disability Confident Scheme.

We are the first university to have achieved Athena Swan Gold Award .

To help you succeed, we published Candidate Guidance to provide support on the application and interview process.

Discover our benefits, visit Your Benefits website.

We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as smooth as possible. Visit the Moving to Nottingham page for details.

Your application will be considered on an equal basis, subject to the relevant permission to work in the UK as set out by UK Visas & Immigration .

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