Jobs:Job-00917: Difference between revisions

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|JOB begin review process=No
|JOB begin review process=No
|JOB URL application=https://www.imperial.ac.uk/jobs/description/ENG00767/research-associate
|JOB URL application=https://www.imperial.ac.uk/jobs/description/ENG00767/research-associate
|Working group member=Hydrology Focus Research Group
|Working group member=Hydrology Focus Research Group, Artificial Intelligence & Machine Learning Initiative
|JOB bodytext=The Hydrology Group at Imperial College London is looking for a Research Associate to explore the use of Artificial Intelligence algorithms to find a link between hydrometeorological extremes and disease outbreaks in Malaysia, and to build forecasting models. The position is part of a collaborative research project between Imperial College London and Universiti Putra Malaysia, funded by the UK Natural Environment Research Council.  
|JOB bodytext=The Hydrology Group at Imperial College London is looking for a Research Associate to explore the use of Artificial Intelligence algorithms to find a link between hydrometeorological extremes and disease outbreaks in Malaysia, and to build forecasting models. The position is part of a collaborative research project between Imperial College London and Universiti Putra Malaysia, funded by the UK Natural Environment Research Council.  



Latest revision as of 07:02, 3 April 2019

PDRA position: AI to predict water-related disease outbreaks
Imperial College London, , United Kingdom
Apply before: 10 April 2019


The Hydrology Group at Imperial College London is looking for a Research Associate to explore the use of Artificial Intelligence algorithms to find a link between hydrometeorological extremes and disease outbreaks in Malaysia, and to build forecasting models. The position is part of a collaborative research project between Imperial College London and Universiti Putra Malaysia, funded by the UK Natural Environment Research Council.

More information can be found here:

https://www.imperial.ac.uk/jobs/description/ENG00767/research-associate

Of interest for:
  • Hydrology Focus Research Group
  • Artificial Intelligence & Machine Learning Initiative