英国剑桥大学2023年招聘博士后职位（森林恢复的渗漏影响）

英国剑桥大学2023年招聘博士后职位（森林恢复的渗漏影响）

剑桥大学（University of Cambridge），位于英国剑桥郡，是一所公立研究型大学。

剑桥大学采用传统学院制。学校是罗素大学集团成员，全球大学校长论坛成员，被誉为“金三角名校”、“Doxbridge”、“G5”。剑桥大学是英语世界中第二古老的大学，前身是一个于1209年成立的学者协会 。

剑桥大学是英国罗素大学集团、全球大学高研院联盟、金三角名校、国际应用科技开发协作网及剑桥大学医疗伙伴联盟成员，衍育了科技聚集地“硅沼（Silicon Fen）”。设八座文理博物馆，馆藏逾1500万册的图书馆系统及全球最古老的出版社――剑桥大学出版社。

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