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| Job Location | Cambridge |
| Education | Not Mentioned |
| Salary | Not Mentioned |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Contract, full-time |
Climate change and biodiversity loss are affecting people and nature and land management will be key to ameliorating the effects of both. Our client a nature conservation charity is seeking a talented conservation scientist with good GIS and analytical skills to join projects examining the spatial conservation and climate change mitigation consequences of land management and restoration in the UK and Europe.Conservation Scientist - Natural Climate Solutions Ref: A3021119Location: Sandy, Bedfordshire or CambridgeSalary: £25,643 to £27,585 per annum. Applicants should expect under normal circumstances to receive an offer at the bottom of the advertised range.Hours: Full TimeContract: 14 month Fixed Term contractYou will join a small team working alongside ecological and practical conservationists. You will have a good working knowledge of spatial analytical and statistical techniques using at least two of the following analytical packages (R, SAS, ARC, QGIS). You will be experienced in manipulating and handling large datasets, writing for expert and popular audiences and have a proven scientific publication record. Knowledge and experience of land management, climate change mitigation or restoration science will be an advantage. You will be responsible for establishing and maintaining good relations with internal and external project partners and stakeholders, in the UK and Europe.The post is for 14 months, to assist with the delivery of scenario-based models of landscape-scale land use change and its climate change mitigation potential.Preferably, you will be based in Cambridge or Sandy.Closing date: 11 December 2019Interview date: 13 January 2020To Apply and for More Information:Please click the apply button. You will be taken to a simple CHM Recruit form and then redirected to the employer
Keyskills :
Analytical Skills Land Management Climate Change Mitigation Datasets Analytical Packages R SAS ARC QGIS