Senior AI Researcher: Real-Time Water-Quality Prediction

UEA

Norwich

Hybride

GBP 39 000 - 46 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Hybrid working
Pension scheme
Health and wellbeing services
Campus facilities access

Résumé du poste

University of East Anglia is seeking a Senior Research Associate in the School of Computing Sciences to develop cutting-edge AI methods for real-time prediction of bathing-water quality. The role involves interdisciplinary research with partners across universities and health/environment sectors.

The post entails developing and evaluating novel AI models, contributing methodological innovations, publishing findings and supporting grant applications, supervision and teaching within the School.

Qualifications

  • Postgraduate qualification or equivalent experience in Computer Science, AI, ML or Data Science.
  • Experience of independent research and developing machine-learning methods.
  • Interdisciplinary collaboration and strong communication skills.

Responsabilités

  • Develop and evaluate novel AI models for real-time water quality prediction.
  • Contribute ideas and methodological innovations in spatio-temporal modelling.
  • Publish research findings and present progress and outcomes.
  • Contribute to grant applications and supervise researchers and teaching students.

Description du poste

University of East Anglia is seeking a Senior Research Associate in the School of Computing Sciences to develop cutting-edge AI methods for real-time prediction of bathing-water quality. The role involves interdisciplinary research with partners across universities and health/environment sectors.

The post entails developing and evaluating novel AI models, contributing methodological innovations, publishing findings and supporting grant applications, supervision and teaching within the School.

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