World Wide Fund India Job opening 2021: for Associate Coordinator posts, Apply Soon

Qualification in Details:

As WWF India’s Wildlife and Habitats division transitions to more sophisticated data management systems, the person appointed to this position will also need to contribute to developing and operationalizing these systems and associated protocols. 

1. Position: Associate Coordinator(Wildlife and Habitats Division)

2. Location: New Delhi

3. Qualifications, Experience and competencies required:

a. MSc or PhD in Wildlife Science, Ecology, Conservation Biology or allied disciplines with a specialization in population ecology, landscape ecology, spatial analysis and familiarity with social-science methods.

b. Familiarity with sampling design for wildlife and habitat monitoring; training in statistics (at least two semesters at the graduate level), familiarity with Bayesian analyses and MCMC methods; one or more semesters of coursework (or on the job experience) in GIS and geospatial analyses using remotely sensed data; programming skills in R, Python, Linux Terminal Tools, JavaScript including applications in Google Earth Engine, HTML, C++, R, SQL Technology Linux OS, Git Additional experience with spatial conservation prioritization tools (Zonation, MarXan, C-Plan) and social science methods (Atlas/ Envivo) Proven proficiency in ecological modeling in the form of relevant publications, or at least two years of professional experience in data analysis and modeling

3. Program Development: Co-develop proposals, especially for data management and synthesis and support the development of other relevant proposals. Contribute to the development of data management policies sand workflows. Enable effective data management and analysis in the landscape by leading or facilitating workshops

4. Technical:

a. Steer WWF’s engagement in the following:

b. Support the design, development and operationalization of an end-to-end data management system for the Wildlife and Habitats division of WWF India to archive and integrate diverse data sets, with a focus on camera trap data from the tiger program. Co-maintain a data-management dashboard.

c. Support the development of apps and software for efficient data collection and M&E related to corridors and human wildlife conflict

d. Support data analysis and report/ paper writing for select projects from the landscape/ synthesis analyses, and provide analysis support for other initiatives.

e. Support the development of a dashboard for tiger population recovery

f. Co-design conservation projects in the landscapes to better integrate social and ecological datasets with biologists and community-team program members.

g. Contribute to the development, periodic revision and implementation of strategy for the tiger conservation program, and actively build synergies for data components snow leopard, elephant and rhino conservation programs