Prize Fellow: Water Analytics & Public Health AI

Bath

Bath

Presencial

GBP 48 000 - 58 000

Tempo integral

Há 5 dias
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Vantagens oferecidas por esta oferta de emprego

Generous annual leave
Pension scheme
Cycle to work
EV salary sacrifice
Staff gym discount
Tuition & language courses
Professional development
Museum entry
Wellbeing support

Resumo da oferta

University of Bath seeks a Prize Fellow in Mathematical Sciences and CWBE to lead independent research, establish a programme, and contribute to teaching and supervision of graduate students. The role focuses on innovative statistical or AI methods for water-based early-warning systems and public health challenges, with interdisciplinary collaboration across sciences and engineering.

The successful candidate will secure funding, develop new methodological research, and engage in public

Qualificações

  • Experience leading independent research programmes and publishing in high-impact venues.
  • Ability to secure research funding through grants and fellowships.
  • Strong teaching and supervision experience at graduate level; ability to engage with public engagement.

Responsabilidades

  • Conduct high-quality research as an independent researcher within CWBE.
  • Secure funding via research grants and/or fellowship applications.
  • Build and lead a research group aligned with CWBE.
  • Promote research through public engagement and interdisciplinary collaboration.

Conhecimentos

Statistical methods
AI methodology
Spatio-temporal models
Time-series analysis
Bayesian models
Machine learning

Formação académica

PhD in Mathematics/Statistics/ML

Ferramentas

R
Python

Descrição da oferta de emprego

University of Bath seeks a Prize Fellow in Mathematical Sciences and CWBE to lead independent research, establish a programme, and contribute to teaching and supervision of graduate students. The role focuses on innovative statistical or AI methods for water-based early-warning systems and public health challenges, with interdisciplinary collaboration across sciences and engineering.

The successful candidate will secure funding, develop new methodological research, and engage in public

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