Location: | Leeds |
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Salary: | £31,396 to £37,099 per annum depending on experience (Grade 6) |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 5th November 2024 |
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Closes: | 19th November 2024 |
Job Ref: | ENVGE1248 |
Location: Leeds - Main Campus
This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
Would you like to be part of an exciting new research project on the role of central African tropical forests in slowing climate change? Are you numerate with quantitative data management and analysis skills? Do you have the skills to help others with managing data?
This is a new role to assist the CongoFor1.5 project to assess the changing ecology and carbon balance of the tropical forests of the Congo basin, led by the Ecology and Global Change Research cluster in the School of Geography. The project is to measure tropical forest trees across 225 locations across the Congo Basin and calculate how much carbon these forests are absorbing from the atmosphere. We want to know how much these forests are slowing climate change.
You will help our partners who do the field campaigns to have the datasheets required and how to fill them in, generated by our database, ForestPlots.net. You will receive scans of datasheets and digital copes of the data from long-term forest inventory plots and upload them into ForestPlots.net. You will work with our partners to check the data and complete quality control and assurance on the data, before producing diagnostic outputs from the database. You will work the partners and project Research Fellows and Principal Investigator, Prof Simon Lewis, to sign off each dataset and archive it for use in ForestPlots.net.
ForestPlots.net is a sophisticated web-based application for managing, sharing, and analysing forest demographic, biodiversity, soil, and carbon data. It focusses on the world’s most species-rich and carbon-dense forests in South America, Africa, and Southeast Asia. Currently with more than 1000 registered users in 40 countries, ForestPlots.net tracks the lives of 2 million trees across 18,000 different species in over four thousand localities. The successful applicant’s role will be to embed its use across our project partners in Cameroon, Democratic Republic of the Congo, Gabon, and the Republic of the Congo.
Please note that due to Home Office visa requirements, this role may only be suitable for first-time Skilled Worker visa applicants if they are eligible for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa
For research & academic posts, we will consider eligibility under the Global Talent visa.
For more information please visit: www.gov.uk/global-talent.
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.
For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: www.gov.uk/global-talent
What we offer in return
And much more!
To explore the post further or for any queries you may have, please contact:
Professor Simon Lewis
Email: s.l.lewis@leeds.ac.uk
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