The University of Bath · Department of Mathematical Sciences and Centre of Excellence in Water-Based Early-Warning Systems for Health Protection (CWBE)
Prize Fellow in Mathematical Sciences and CWBE
Bath
Fixed-term
Full-time
£47,389–£56,535 / year
Closes 9 Nov 2026
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Sign in Create an accountJoin our thriving Centre of Excellence in Water-Based Systems for Health Protection and Department of Mathematical Sciences as a Prize Fellow.
The Centre of Excellence in Water-Based Early-Warning Systems for Health Protection (CWBE) is a £13m interdisciplinary research centre, established in 2024 with funding from Research England's Expanding Excellence in England (E3) scheme, together with contributions from the University of Bath and partners.
We are working to transform public and environmental health management, establishing the first Urban Living Lab facility; a state-of-the-art digital water sensing platform, training base and ideas hub. Our ambition is to provide a practical roadmap for a UK early-warning system, co-produced with regional and national stakeholders to serve as a sentinel and multigenerational testing site for research and innovation. This platform will enable testing of public health and environmental interventions focused on increasing community resilience to disease, pollution and climate change impacts.
Responsibilities:
- Conduct high quality research as an independent researcher within the umbrella of the Centre, including securing funding via research grants and/or fellowship applications and building a research group appropriate to the Centre and discipline
- Develop international research links
- Contribute to advanced teaching and supervision, training and research of graduate students
- Promote research in the discipline, including public engagement
About you:
We particularly welcome applications from researchers developing innovative statistical or AI methodology relevant to water-based early-warning systems and the environmental and public health challenges addressed by CWBE. Relevant areas might include, but are not limited to, spatio-temporal models, time-series analysis, anomaly and change-point detection, Bayesian hierarchical models, statistical machine learning, optimal monitoring and sampling designs, and the integration of mechanistic and data-driven models. Strong candidates will have a track record of working on high-impact applications in collaboration with colleagues in other disciplines such as life sciences, environmental sciences, engineering and public health.
The successful candidate will establish an independent research programme within CWBE's interdisciplinary environment, developing new methodological research while contributing to applications in wastewater-based epidemiology.
Application Requirements:
Please provide both research and teaching statements of up to two pages each in addition to a full CV. Your research statement needs to outline your plans and intentions for research activity that expands and complements existing capabilities in the centre, grant capture over the coming five years and your planned contributions to further development of the centre. The teaching vision should outline your areas of teaching expertise and a range of potential teaching subjects as well as course development interests. These are mandatory components of the selection process.
This role is a full-time fixed term position (36.5 hours per week for 24 months). Subject to satisfactory progress at the end of the fixed term, the position will transfer to a Lectureship in the Department of Mathematical Sciences and CWBE.
Benefits:
- Generous annual leave allowance with an additional 5 discretionary days
- Generous employer contributory pension schemes
- Cycle to work scheme
- Electric vehicle salary sacrifice scheme
- Staff discount at Team Bath gym
- Staff benefits include discounted postgraduate tuition and language courses, alongside a wide range of personal and professional development opportunities such as apprenticeships, LinkedIn Learning, and more
- Local discounts, including free entry to the Holburne Museum in Bath
- A family-friendly workplace
- Relocation allowance
- Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses
- Employee assistance services through Health Assured, including access to the Wisdom app
We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equity and intersectionality receiving a Silver Athena SWAN award. We encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups.
The Centre of Excellence in Water-Based Early-Warning Systems for Health Protection (CWBE) is a £13m interdisciplinary research centre, established in 2024 with funding from Research England's Expanding Excellence in England (E3) scheme, together with contributions from the University of Bath and partners.
We are working to transform public and environmental health management, establishing the first Urban Living Lab facility; a state-of-the-art digital water sensing platform, training base and ideas hub. Our ambition is to provide a practical roadmap for a UK early-warning system, co-produced with regional and national stakeholders to serve as a sentinel and multigenerational testing site for research and innovation. This platform will enable testing of public health and environmental interventions focused on increasing community resilience to disease, pollution and climate change impacts.
Responsibilities:
- Conduct high quality research as an independent researcher within the umbrella of the Centre, including securing funding via research grants and/or fellowship applications and building a research group appropriate to the Centre and discipline
- Develop international research links
- Contribute to advanced teaching and supervision, training and research of graduate students
- Promote research in the discipline, including public engagement
About you:
We particularly welcome applications from researchers developing innovative statistical or AI methodology relevant to water-based early-warning systems and the environmental and public health challenges addressed by CWBE. Relevant areas might include, but are not limited to, spatio-temporal models, time-series analysis, anomaly and change-point detection, Bayesian hierarchical models, statistical machine learning, optimal monitoring and sampling designs, and the integration of mechanistic and data-driven models. Strong candidates will have a track record of working on high-impact applications in collaboration with colleagues in other disciplines such as life sciences, environmental sciences, engineering and public health.
The successful candidate will establish an independent research programme within CWBE's interdisciplinary environment, developing new methodological research while contributing to applications in wastewater-based epidemiology.
Application Requirements:
Please provide both research and teaching statements of up to two pages each in addition to a full CV. Your research statement needs to outline your plans and intentions for research activity that expands and complements existing capabilities in the centre, grant capture over the coming five years and your planned contributions to further development of the centre. The teaching vision should outline your areas of teaching expertise and a range of potential teaching subjects as well as course development interests. These are mandatory components of the selection process.
This role is a full-time fixed term position (36.5 hours per week for 24 months). Subject to satisfactory progress at the end of the fixed term, the position will transfer to a Lectureship in the Department of Mathematical Sciences and CWBE.
Benefits:
- Generous annual leave allowance with an additional 5 discretionary days
- Generous employer contributory pension schemes
- Cycle to work scheme
- Electric vehicle salary sacrifice scheme
- Staff discount at Team Bath gym
- Staff benefits include discounted postgraduate tuition and language courses, alongside a wide range of personal and professional development opportunities such as apprenticeships, LinkedIn Learning, and more
- Local discounts, including free entry to the Holburne Museum in Bath
- A family-friendly workplace
- Relocation allowance
- Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses
- Employee assistance services through Health Assured, including access to the Wisdom app
We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equity and intersectionality receiving a Silver Athena SWAN award. We encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups.
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Job details
- Reference
- SS13997
- Category
- Postdoctoral / Research Fellow
- Subject
- Mathematics & Statistics
- Hours
- 36.5 hrs / week
- Contract
- 24 months
- Posted
- 12 Oct 2026
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