Yale Data-Driven Solutions Group
Research Assistants and Graphic Designers

Yale Data-Driven Solutions Group
Research Assistants

 

General Purpose
Data-Driven Yale is seeking student research assistants to contribute a range of projects aimed to bring quantitative rigor and analysis to environmental policymaking. Research projects range from creating new methods to assess climate mitigation impact of renewable energy and energy efficiency projects in developing countries, to measuring urban environmental performance, to assessing sub-national and non-state climate actions. Our work has been published in high-profile academic journals, including Nature and Nature Climate Change, and has been featured in popular media, including The Economist, The New York Times, The Atlantic, and Scientific American, among others.

Student research assistants contribute to all levels of our work, from research and writing to data analysis, visualization, and design. You will work collaboratively with full-time research staff, the faculty director, other students and external partners all around the world. Student RAs receive training in data-driven approaches to environmental policy, which involves statistical data analysis, quantitative research, and writing for policy audiences.

Positions are available starting this August and can be for 1 semester or the full academic year. During the academic year, students can contribute up to 19 hours a week but at minimum work 5 to 10 hours a week.

Background of Data-Driven Yale

Data-Driven Yale uses cutting edge data analytics to develop solutions to the world’s environmental problems. Launched in 2015, the research group is an interdisciplinary collaboration of policy experts, data scientists, visual designers, and interactive programmers at the Yale School of Forestry and Environmental Studies and Yale-NUS College, Singapore.

Requirements:  Strong organizational, interpersonal, communication, and analytical skills are required, as are excellent writing skills. Must be a self-starter and independent worker.

Proven research skills strongly preferred, with a particular emphasis on scientific research and an ability to convey scientific concepts to the general public. Proficiency in another langauge (Spanish, French, or Mandarin) highly desirable. Experience with statistical programming languages, especially R, is a plus. Pay will be at established Yale rates.

To apply, send a resume, cover letter, and work samples to amy.weinfurter@yale.edu. For more information about the Data-Driven Yale, visit www.datadriven.yale.edu.

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