Geospatial Researcher (Nature Recovery)
Applications for this vacancy closed on 22 August 2024 at 12:00PM
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<p></p><div>This is an exciting opportunity to play a key role in delivering world leading research in the field of nature recovery. The role allows for supervised development of research ideas involving geospatial data sets whilst taking a key role as research practice lead to ensure the Leverhulme Centre for Nature Recovery has a consistent and coherent approach to research data management.</div><br>
<div>Working within a team of cross-disciplinary researchers, the individual will be supported in developing their own research areas while taking contribute to existing geospatial research projects focussed on Nature recovery at national and global scales. Working with data sets from remote sensing to climate and land use modelling, the researcher will conduct analysis and help to increase compatibility between data sets and build in interoperability to deliver long-term strategic goals. The individual will also be tasked with different forms of data visualisation and making data sets more relevant for researchers from a variety of backgrounds.</div><br>
<div>The individual will also be supported to take the lead on data practice throughout the Centre and then co-define best practice. They will work with internal and external stakeholders and partners to ensure the tools, techniques, systems and architecture are fit for purpose and fully accessible. They will also have regular liaison with teams working with modelling, machine learning and artificial intelligence. The individual will be the key point of contact for queries around data management and data protocols and work with the senior management team to ensue strategic goals are achieved.</div><br>
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<div><strong>Responsibilities </strong></div><br>
<ul><br>
<li>Developing ideas for new research projects and generating research income, and present detailed research proposals to senior researchers</li><br>
<li>Support on the development of integrated assessment models with a particular focus on land use and climate modelling</li><br>
<li>Locating, importing, organising and manipulating data sets to maximise re-use and compatibility, ensuring consistent metadata and citation information.</li><br>
<li>Conducting supervised research and contributing to academic publications</li><br>
<li>Advising and contributing on the creation of data visualisations to improve the comprehension of research</li><br>
<li>Working with Internal and external partners to ensure data provision is robust and fit for purpose for cutting edge research. Being the point of contact for data related questions as well as defining protocols and data sharing agreements with partners</li><br>
<li>Leading, defining and supporting best practice for researchers on data use and management (curation, metadata, nomenclature, sharing policies, security)</li><br>
</ul><br>
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<div><strong>What we offer </strong></div><br>
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<div>As an employer, we genuinely care about our employees’ well-being, and this is reflected in the range of benefits that we offer including:</div><br>
<ul><br>
<li>An excellent contributory pension scheme</li><br>
<li>38 days annual leave</li><br>
<li>A comprehensive range of childcare services</li><br>
<li>Family leave schemes</li><br>
<li>Cycle loan scheme</li><br>
<li>Discounted bus travel and Season Ticket travel loans.</li><br>
</ul><br>
<div><strong>Application Process</strong></div><br>
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<div>You will be required to upload a covering letter with a supporting statement, CV and the details of two referees as part of your online application. In your supporting statement, please explain how you meet each of the selection criteria found in the job description, and why you would like to do this role. See guidance at  <a rel="nofollow" href="https://www.jobs.ox.ac.uk/cv-and-supporting-statement">https://www.jobs.ox.ac.uk/cv-and-supporting-statement</a>. Any technical questions related to this vacancy can be sent to recruit@ouce.ox.ac.uk</div><br>
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<div><strong>The closing date is 22nd August 2024 at noon</strong>. Only applications submitted by this time will be considered. Interviews will be held on as soon as possible thereafter.</div><br>
<div> </div><br>
<div><em>The University of Oxford and The School of Geography and the Environment are Silver Athena SWAN holders.  Applications are particularly welcome and encouraged from women, black, and minority ethnic candidates, who are under-represented in posts in The School of Geography and the Environment. The School of Geography and the Environment are committed to equality and values diversity</em></div>
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Leverhulme Centre for Nature Recovery, Environmental Change Institute, School of Geography and the Environment (SoGE), South Parks Road, Oxford OX1 3QY
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2024-08-22 12:00:00+01:00
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2024-08-01 09:00:00+01:00
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False
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comment |
This is an exciting opportunity to play a key role in delivering world leading research in the field of nature recovery. The role allows for supervised development of research ideas involving geospatial data sets whilst taking a key role as research practice lead to ensure the Leverhulme Centre for Nature Recovery has a consistent and coherent approach to research data management. Working within a team of cross-disciplinary researchers, the individual will be supported in developing their own research areas while taking contribute to existing geospatial research projects focussed on Nature recovery at national and global scales. Working with data sets ... This is an exciting opportunity to play a key role in delivering world leading
research in the field of nature recovery. The role allows for supervised development of research ideas involving geospatial data sets whilst taking a key role as research practice lead to ensure the Leverhulme Centre for Nature Recovery has a consistent and coherent approach to research data management. Working within a team of cross-disciplinary researchers, the individual will be supported in developing their own research areas while taking contribute to existing geospatial research projects focussed on Nature recovery at national and global scales. Working with data sets ... |
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Geospatial Researcher (Nature Recovery)
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174399
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