Geospatial Data Analysis Fellow – Yale Carbon Containment Lab
Mentor: Justin Freiberg, Managing Director
The Yale University Carbon Containment Lab (CC Lab) designs, tests and develops novel, low-cost, safe, scalable and verifiable methods of atmospheric carbon reduction and containment. Lab efforts to date include projects on geologic storage, methane emissions, and containment systems in wood and wood products. The CC Lab is also constantly screening and evaluating new project ideas and proposals. CC Lab work combines scientific findings with economic and project feasibility studies to support project implementation and requires advanced data analysis, spatial analytics and data interpretation.
The Fellow with the CC Lab will grow their skills in geospatial analysis, data analysis, outreach, and implementation of early-stage technologies. They will be responsible for geospatial data review and analysis in support of the CC Lab’s projects along with working with CC Lab staff to communicate and share findings of the analysis through data visualizations, maps or other methods as needed.
A typical research effort will inform project feasibility and scalability and combine geospatial, economic and environmental or technical data. The work of the Fellow may also be tailored to take advantage of a candidate’s specific areas of experience or interest. It is also anticipated a Fellow will produce specific data deliverables or research findings at the conclusion of their work with the Lab.
Example research may include:
Quantifying global methane emissions from coal mines.
Identifying primary locations for carbon containment in wood based upon forest, economic, and transportation data.
Measuring the impact of geologic carbon sequestration.
Evaluating the potential for mass timber product development.
The successful Fellow should be a doctoral student in a science-related field. Students from the social sciences or humanities with experience in technical data analysis are welcome to apply.
The Fellow should be a flexible, creative thinker able to investigate, interpret and communicate data, science, and trends across a number of fields related to the CC Lab’s work (i.e. able to delve into the literature on chemical engineering, biogeochemistry, mechanical engineering, geophysics, and soil science, and others as needed). Knowledge with programming languages, including Python, is desired, though not required. Applicants should clearly state all programs, models and software in which they have proficiency along with prior relevant work or research.
Additionally, we are looking for the following:
- Desire to tackle the challenge of climate change with innovation and an interdisciplinary approach.
- General knowledge of key climate challenges and impacts.
- An enthusiasm for developing community on campus.
- The ability to communicate effectively in writing and in person.
- Excellent analytical skills.
- Attention to detail is critical.
- Efficiently able to organize work time and manage projects.
- Familiarity with MS Office Suite, Dropbox, Zoom.
- September 6, 2021- September 24, 2021: Weekly GPE Info Sessions
- September 26, 2021: Applications deadline (11:59pm ET). Please submit a resume and a cover letter customized to this fellowship
- November 19, 2021: Interview and award notification to selected fellows
- December 13, 2021 – January 14, 2022: New fellows onboarding
- January 18, 2022: Suggested fellowship start date
Note- Positions with limited applicants may have deadlines extended by 3 weeks to October 17, 2021.
- Eligibility: Fellows must be currently matriculated, Yale doctoral students in years 1-6* of their studies during the fellowship.
- Term: Fellows work at a Yale host organization under the guidance of the host mentor for 5-7 hours per week over the course of 13-15 weeks during the 2022 Spring Term
- Stipend: Fellows will receive $1,500 for Spring 2022 fellowships.
- Please note: The GPE Fellowship does not count towards the fulfillment of your teaching requirement. For more information on teaching requirements, please see the GSAS website.
* 7th-year students with COVID-related funding extensions from GSAS are eligible to apply.