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Creation date"Creation date" is a predefined property that corresponds to the date of the first revision of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
13:41:59, 1 November 2021 +
Has query"Has query" is a predefined property that represents meta information (in form of a <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Subobject">subobject</a>) about individual queries and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
November 30, 2021 +
A NERC funded PhD studentship is available … A NERC funded PhD studentship is available to work with me, Dr Simon Parry (UK CEH), and Dr Nick Chappell (Lancaster University) to study how catchments mediate the transition between droughts and floods. Industry partner for this project is Willis Towers Watson, a major multinational company in the flood insurance sector. This studentship is part of the ENVISION DTP funded by NERC. Details below.</br></br>'''About the Project'''<br></br>Droughts and floods represent the extreme end members of catchment hydrological conditions, and both have the potential to cause severe socioeconomic damage and loss of life in places where they occur. Although the underlying causes and mechanisms of droughts and floods are extensively studied, we do not yet have a complete understanding of how catchments transition out of these extreme conditions and the speed at which they move from one extreme to the other. Large scale climatic patterns are known to be the first order controls on the occurrence of, and relief from, floods and droughts. However, the role played by physical catchment attributes in influencing the extreme hydrological conditions and mediating the transition between them has not been fully explored. Given that IPCC’s future climate projections indicate an increase in extreme weather events in many parts of world, it is critically important to: (1) understand how our physical environment can influence the occurrence of, and transition between, extreme hydrological conditions, and (2) develop land use intervention strategies to help mitigate their severity. This project will investigate the influence of physical catchment attributes on the hydrological transition between droughts and floods. Our approach will involve use of a global catchment dataset (>2000 catchments) to characterise flood and drought events, quantify their bi-directional transitions, and explore their relationships with physical catchment attributes using Machine Learning. Physics based hydrological modelling will also be used to assess the potential role of land use interventions for mitigating the severity of droughts and floods. The project benefits from being a CASE studentship. Successful student will have the opportunity to work closely with Willis Towers Watson, a major multinational company in the flood insurance industry. The student will also receive a comprehensive training programme that encompasses specialist scientific training as well as generic professional skills.</br></br>'''Eligibility'''<br></br>Applicants should hold a minimum of a UK Honours Degree at 2:1 level or equivalent in subjects such as Geography, Environmental Science, Hydrology, Civil & Environmental Engineering or Mathematics/Statistics. Applicants who additionally have a Masters degree, or relevant work experience, will be particularly competitive.</br></br>'''Enquiries'''<br></br>For further details, please contact Dr Sopan Patil (s.d.patil@bangor.ac.uk) in the School of Natural Sciences, Bangor University.</br></br>'''To apply''' for this project follow this link: https://www.lancaster.ac.uk/fas/centres/envision-dtp/portal/apply.php.</br></br>Best wishes,<br></br>Sopan/fas/centres/envision-dtp/portal/apply.php.
Best wishes,<br>
Sopan
PhD opportunity +
Bangor University +
Last editor is"Last editor is" is a predefined property that contains the page name of the user who created the last revision and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
United Kingdom +
Modification date"Modification date" is a predefined property that corresponds to the date of the last modification of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
13:41:59, 1 November 2021 +
NO STATE +
