Community-based natural resources management (CBNRM) is a widely implemented conservation intervention that seeks to empower local communities to manage and derive benefits from natural resources. The ecological and social outcomes of CBNRM are widely debated. Under certain conditions, CBNRM can provide both ecological and social benefits, while in other settings, trade-offs exist. To inform the design and implementation of CBNRM, WWF and its partners are monitoring the social and ecological outcomes of CBNRM in tropical forests and coastal marine ecosystems.
WWF is seeking a motivated intern to assist in the analysis, interpretation and visualization of ecological and social monitoring data from tropical forest and coastal marine systems in Indonesia.
Internship responsibilities will include:
- Supporting the implementation of social monitoring of marine protected areas
- Data management
- Statistical analysis of quantitative social and ecological data, including analysis of trends over time.
- Communicating scientific findings to multiple audiences, including conservation managers and decision-makers.
- Building the capacity of conservation managers to interpret scientific monitoring data.
This internship is an excellent opportunity to interact with scientists in WWF and around the world; gain exposure to a wide range of conservation science and policy issues; and inform WWF’s monitoring and evaluation systems.
Minimum qualifications for position:
The successful applicant will have a Bachelor or Masters degree in natural or social science with a demonstrated interest in biodiversity conservation. This position requires strong data management and statistical analysis skills. Demonstrated experience with creating R scripts is essential. Familiarity with GitHub and Microsoft Access are strongly preferred. Strong written and verbal communication skills are essential. Demonstrated experience in communicating scientific information in a variety of formats is essential. Knowledge of Bahasa Indonesia is desirable. The successful applicant will be able to work independently, as well as part of an international, interdisciplinary team.
To apply:
Please submit a resume, cover letter and sample R script through our Careers page.
https://careers-wwfus.icims.com/jobs/search, job title: IN-18009 Conservation Evidence Intern