The Sustainable Melrose Coalition climate action group is seeking a part-time (approx 8-10 hrs/week) graduate student intern for the summer to perform a greenhouse gas inventory for the City of Melrose. The internship will involve data collection and analysis, documentation, developing information graphics, drafting a report and the opportunity to present findings to municipal groups and officials. Attendance at a small number of meetings will be required but otherwise all work can be performed offsite and on the intern’s schedule. A small stipend will be provided.
The Community GIS Project Leader is an AAUP represented non-tenure track faculty appointment at the rank of Senior Research Associate 1.
Principal duties of the position:
• Community geography – engage with communities throughout the Portland region to identify innovating mapping and other data visualizations to serve community needs.
• Provide GIS analysis support for projects in IMS and PRC.
• Possibly teach within the undergraduate or graduate programs within the College of Urban and Public Affairs or in PSU’s University Studies program.
• Contribute to strategic planning for IMS and PRC.
|Application Deadline: Screening begins February 8, 2016 and remains open until finalists are identified.
Provide analytical and tactical support for all sustainability projects with data-related needs and to set an overall strategy for the collection, analysis, management, and communication of data and metrics. Will collect, manage, and ensure the quality and integrity of data from multiple sources throughout campus; oversee MIT’s greenhouse gas inventory update and expansion process; perform cost analysis; assist with the development of relational and dimensional models and reports; write an annual metrics performance report that includes infographics and graphs; manage the development of an overall sustainability analytics database for campus; develop well-defined sustainability financial reporting templates; support living lab projects related to campus systems (storm water, mobility, etc.); and collaborate with MIT’s Data Science team and other partners to develop reporting and analytics.