Open Positions
Greenhouse Gas Management, Part-time Lecturer (non-tenure-track)
The Department of Urban and Environmental Policy and Planning at Tufts University is searching for a part‐time lecturer to teach one graduate-level course on Greenhouse Gas Management in Fall 2024. A syllabus for how the course has been taught recently is available upon request.
This course will introduce students to the fundamentals of greenhouse gas (GHG) accounting, including scopes frameworks, inventory approaches and protocols, reporting, forecasting, and target-setting. It will also explore best practices for GHG reduction/mitigation and tracking progress over time. Additional components of the course will consider emerging methods of Life Cycle Analysis, consumption-based accounting, and embodied carbon assessment. Importantly, students will reflect on limitations associated with current modeling, methodologies and challenges of accounting for GHG emissions from local to national and global scales and consider implications for policy and planning as well as the corporate sector.
This course will be taught on Tuesdays 6-9pm in person, although it may be possible to negotiate a different time/day.
Qualifications
Candidates should have an MS or PhD in a policy and planning relevant field with a focus on sustainability, environmental science, economics, or business, or an advanced degree in a related field and experience teaching GHG accounting. Ideal candidates will provide evidence of successfully teaching topics relevant to GHG accounting.
Application instructions
All application materials must be submitted via Interfolio at apply.interfolio.com/142474 . Please submit a cover letter, CV, teaching evidence (syllabus, course evaluations, etc.), and three letters of references. Questions about the position may be directed to maria.nicolau@tufts.edu. Review of applications will begin immediately and continue until the position is filled.
Python, Part-time Lecturer (non-tenure-track)
The Department of Urban and Environmental Policy and Planning at Tufts University is searching for a part‐time lecturer to teach a 1 credit graduate level course on Python – taught in Fall 2024 and in Spring 2025 (1 credit for each semester). A syllabus for how the course has been taught recently is available upon request.
Open to upper-level undergraduates and graduate students, the course introduces students the basics of Python and prepare the students to take more advanced programming classes. The topics covered include syntax and data types, reading and writing files, functions, lists and dictionaries, and using Jupyter lab notebooks.
This course will be taught virtually on the first four Fridays of Fall 2024 starting September 6 (9-11:30am), although it may be possible to negotiate a different time/day. Instructors must also be willing to offer the course online.
Qualifications
Candidates should have programming experience in Python as well as prior teaching experience. Candidates must show evidence of successful teaching.
Application instructions
All application materials must be submitted via Interfolio at apply.interfolio.com/142616 . Please submit a cover letter, CV, teaching evidence (syllabus, course evaluations, etc.) and three letters of references. Questions about the position may be directed to maria.nicolau@tufts.edu. Review of applications will begin immediately and continue until the position is filled.
All offers of employment are contingent upon the completion of a background check.
Postdoctoral Position in Remote Sensing and Spatial Analysis
Research associates (postdoctoral) position in the field of remote sensing and spatial analysis are available immediately. The research associates will work closely with Dr. Peilei Fan (Department of Urban Environmental Policy and Planning at Tufts University) on funded research focusing on remote sensing, spatial modeling, data/information synthesis, and the manipulation and processing of terrestrial satellite data. We are seeking highly qualified candidates with proficiencies in spatial analysis, both SAR and optical remote sensing technology, Google Earth Engine, and Python programming. Cloud computing and deep machine learning are preferred but not required.
The successful candidate is required to have a PhD with a quantitative background and first authored peer-reviewed publication(s) in remote sensing of environment, land cover changes, landscape ecology, or spatial modeling. The preferred applicants must demonstrate excellent written and oral communication skills. The applicant must be able to independently plan and execute research activities including data collection, evaluation, and analyses. Salary and benefits will be commensurate with experience.
Review of applications will begin immediately and continue until a successful candidate is identified. The position is for a one-year period, with a likely renewal for a second and, possibly, third year contingent on additional funding.
The application should include: (i) cover letter; (ii) a full current CV; (iii) the names, positions, and contact information for two referees; and (iv) one or two published journal manuscripts with primary authorship by the applicant. All material should be sent to Dr. Peilei Fan at Peilei.Fan@tufts.edu with “Postdoctoral Scholar Application” in the subject heading.