英國劍橋大學2023年招聘博士后職位（森林恢復的滲漏影響）

劍橋大學（University of Cambridge），位于英國劍橋郡，是一所公立研究型大學。

劍橋大學采用傳統(tǒng)學院制。學校是羅素大學集團成員，全球大學校長論壇成員，被譽為“金三角名校”、“Doxbridge”、“G5”。劍橋大學是英語世界中第二古老的大學，前身是一個于1209年成立的學者協(xié)會 。

劍橋大學是英國羅素大學集團、全球大學高研院聯(lián)盟、金三角名校、國際應用科技開發(fā)協(xié)作網及劍橋大學醫(yī)療伙伴聯(lián)盟成員，衍育了科技聚集地“硅沼（Silicon Fen）”。設八座文理博物館，館藏逾1500萬冊的圖書館系統(tǒng)及全球最古老的出版社——劍橋大學出版社。

Post-doctoral Research Associate: Leakage Impact of Forest Restoration (Fixed Term)

University of Cambridge

Post-doctoral Research Associate: Leakage Impact of Forest Restoration

(Fixed Term)

Fixed-term: Funds for this position are available for two years.

We are looking for a highly motivated post-doctoral researcher to develop a remote sensing framework for quantifying the extent of leakage from forest restoration activities in the Brazilian Atlantic Forest and Amazon biomes and the associated impacts on carbon and biodiversity.

The project is a partnership between the Cambridge Centre for Carbon Credits (4C) and re-green. 4C aims to verify the claims and consequences of nature- based climate solutions. re.green is a new Brazilian organisation aiming to undertake extensive restoration of Brazil's Atlantic and Amazon forests. This partnership focuses on applying 4C's analytical methods to the real-world restoration activities being pioneered by re.green, in order to enhance both 4C's understanding of forest restoration and re-green's capacity to document its impacts.

Your role in the project is to develop methods to assess the extent of leakage of agricultural production from forest restoration sites and its consequences for both carbon and biodiversity. You will bring together ground-based data provided by re.green with appropriate remotely-sensed datasets in order to measure and track leakage resulting from forest restoration.

You will be self-motivated and able to work efficiently to meet deadlines and in collaboration with external organisations and individuals. You will hold a PhD in a relevant subject and have effective written and verbal communication skills. You will have the ability to communicate with a range of audiences and be able to curate, analyse and interpret large and complex data sets to peer- reviewed standards of scrutiny and audit. Knowledge of forest and agricultural land use change dynamics in Brazil and local agricultural datasets is essential, as is experience in handling remotely-derived datasets. Understanding of counterfactual pixel matching techniques is highly desirable. You must also be able to travel to Brazil for repeated visit with re.green partners. Fluency in Portuguese desirable.

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

Informal enquiries are welcomed and should be directed to: Professor Andrew Balmford Email: apb12@cam.ac.uk.

Flexible working requests will be considered.

We particularly welcome applications from women and candidates from a BME background for this vacancy as they are currently under-represented at this level in our University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

If you have any queries regarding the application process please contact Anastasia Nezhentseva.

Email: an286@cam.ac.uk Telephone: (0)1223 330117

Please quote reference PF38259 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Further Particulars - PF38259

Department/Location

Department of Zoology

Salary

£36,024-£44,263

Reference

PF38259

Category

Research

Published

30 August 2023

Closing date

30 September 2023

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