IN 13013 Associated Infrastructure Project Intern
Description: Infrastructure has been identified as a major driver of deforestation and biodiversity loss in many important conservation areas. The scale and range of infrastructure projects – including mines, dams, roads, transmission lines and pipelines – present a serious challenge to the long-term conservation and sustainable development of many of the regions in which WWF currently works.
We aim to gain a better understanding of infrastructure developed in association with extractive industries, in order to more fully assess the predictable impacts of proposed extractive development. Over the past year, we have developed a working definition for ‘associated infrastructure’ and begun to compile the literature and cases that illustrate the current state of knowledge on the topic. Continuing research will (1) categorize the types of associated infrastructure that develop near mining sites, (2) evaluate the marginal impact of new infrastructure, and (3) identify and assess factors that influence the likelihood of different types of associated infrastructure. With this information, we can improve conservation practice by predicting likely impacts and mitigating them early on.
The Associated Infrastructure Intern will have the opportunity to directly influence WWF’s work and conservation practices more broadly by continuing our current work to enhance a literature review, develop an analytical framework, and conduct case study analysis. The work may also have implications for national or multi-lateral policies. There is also potential for remote sensing and GIS analysis related to the case study sites, as well as some basic statistical analysis of selected variables.
Requirements: Graduate degree or working towards a graduate degree in environmental management, geography, environmental engineering, international development or other related field; strong skills in research and synthesis; self-motivated and able to work independently; good problem-solving ability; and, a passion for conservation. Proficiency in remote sensing, satellite imagery analysis and classification, and one or more image processing software packages (i.e. ERDAS, ENVI, etc.); and/or, proficiency in use of ArcGIS 9.x or 10 would be a plus.
Stipend: Unpaid; must receive academic credit
Contact: Charles Huang, Charles.email@example.com