3 Paid Internships Available, World Wildlife Fund
Washington, D.C.
Due 4/15
IN-19052 Forest Social Science Intern
Overview
Papua, Indonesia contains some of the largest remaining tracts of forests in Southeast Asia. These forests are important for storing carbon, protecting biodiversity, and supporting local communities’ livelihoods. WWF has been at the forefront of promoting enabling conditions for community-based economies in Papua, including forestry. When local communities have the acquired appropriate legal frameworks and technical skills, they can manage their forests sustainably and derive livelihoods – while in other settings, community forests may result in tradeoffs between forest conservation and human well-being. To monitor the ability for community forests to provide protection to the environment while supporting community livelihoods and well-being, WWF and its partners are monitoring the social and ecological impacts of community forests. We are looking for a motivated intern to assist in the development of methods and instruments which will be used to strengthen our community forest monitoring program.
Responsibilities
Internship responsibilities will include:
- Developing forest inventory and household survey methods and instruments for rural tropical environments.
- Conduct a literature review on community forestry to understand its history, implementation, and what factors contribute to its success.
- Developing manuals, training materials for field teams, and other guidance documents to allow other scientists to adopt or adapt our methods.
This internship is an excellent opportunity to interact with scientists in WWF-US and around the world; gain exposure to a wide range of conservation science and policy issues; and inform adaptive management of community forest areas in Papua, Indonesia.
Qualifications
The successful applicant will have a Bachelor or Master’s degree in a natural or social science with a demonstrated interest in tropical forest ecology and social sciences. Experience in tropical forest inventory and the development of social monitoring methods and instruments is strongly preferred. Good written and verbal communication skills are essential. This position requires a strong understanding of relational databases as well as data management and statistical analysis skills, with demonstrated experience handling forest inventory datasets. Experience working with Microsoft Access and ArcMap or QGIS is desirable. The successful applicant will be able to work independently, as well as part of an international, interdisciplinary team.
This position requires eligibility to work in the United States.
Internship Dates: 3 month position, beginning May 2019
How to apply: Please submit a resume & cover letter through our Careers page http://www.worldwildlife.org/about/careers , IN-19052
IN-19051 Marine Social Science Intern
Overview
Marine protected areas (MPAs) are an integral component of local, national, and international strategies for biodiversity conservation. The impact of MPAs on local communities is the focus of a contentious policy debate. Under certain conditions, MPAs can provide both biodiversity and social benefits, while in other settings tradeoffs exist between biodiversity conservation and social welfare. To inform this debate, World Wildlife Fund (WWF) and its partners are monitoring the social impacts of marine protected areas in the Coral Triangle. We are looking for a motivated intern to assist in the analysis and interpretation of our coastal livelihoods data.
Responsibilities
Internship responsibilities will include:
- Statistical analysis of quantitative social science data, including descriptive statistics, and developing appropriate statistical models.
- Developing written reports, policy briefs, and other materials communicating scientific findings to multiple audiences.
- Developing manuals and other guidance documents to allow other scientists to adopt or adapt our methods.
This internship is an excellent opportunity to interact with scientists in WWF-US and around the world; gain exposure to a wide range of conservation science and policy issues; and inform adaptive management of marine protected areas.
Qualifications
Minimum Requirements:
The successful applicant will have a Bachelor or Master’s degree in a natural or social science with a demonstrated interest in biodiversity conservation. This position requires strong data management and statistical analysis skills, with demonstrated experience handling large social science datasets. Demonstrated experience with statistical analysis (e.g., general linear models, mixed models) in R is essential. Good written and verbal communication skills are essential. Knowledge of and previous experience working with GitHub and Microsoft Access is desirable. The successful applicant will be able to work independently, as well as part of an international, interdisciplinary team. Please submit a sample R script as supplemental materials in the application.
This position requires eligibility to work in the United States.
Internship Dates: 3 month position, beginning May 2019
How to Apply: Please submit a resume, cover letter, and sample R script (as supplemental material) through our Careers page http://www.worldwildlife.org/about/careers , IN-19051
IN-19046 Data for Nature Intern
Overview
World Wildlife Fund (WWF), the world’s leading conservation organization, seeks a Data for Nature Intern
Responsibilities
Internship Description:
Critical gaps exist in the data to support global agreements designed to deliver sustainable development and halt the loss of nature. While there are many efforts underway to fill some of these gaps, there is no comprehensive view of what gaps exist, current efforts to fill them, or the timeline on which new indicators or datasets may be available.
WWF is seeking a motivated intern to support ongoing efforts to map critical gaps in the global data for biodiversity conservation. The successful candidate will support a review of the scientific literature as well as a landscape analysis of ongoing indicator development efforts across the conservation sector. These products will be incorporated into a broader working paper on global gaps in data for nature intended for publication in the peer-reviewed scientific literature.
Qualifications
Minimum Requirements:
This position requires strong knowledge of global biodiversity datasets and demonstrated experience handling quantitative scientific datasets. Familiarity with the indicators and datasets used in global agreements such as the Convention on Biological Diversity and the Sustainable Development Goals preferred. Good written and verbal communication skills are essential. The successful applicant will be able to work independently, as well as part of a dispersed, interdisciplinary team.
How to apply: Please submit a resume and cover letter through our Careers page http://www.worldwildlife.org/about/careers , IN-19046
