Postdoctoral associate position available in natural resource economics at the Yale School of the Environment – Scaling up measurement of natural capital and developing uses of natural capital accounts.
Join Dr. Fenichel’s research group as a post-doctoral associate and help develop measures of natural capital and the policy use cases for natural capital accounts and other environmental-economic statistics.
The successful candidate will contribute to research on one or more of the following:
- Approaches to measuring and valuing stocks of natural capital and developing techniques to do so repeatedly and at scale. (e.g., for species, forests, wetlands, soil – exact topics TBD with candidate)
- Green or sustainability accounting.
- Theoretical and empirical uses of natural capital accounts or other environmental-economic statistics in policy analysis. (for example, in uses beyond benefit-cost analysis – exact topics TBD with candidate).
The individual filling this role will collaborate with faculty to develop original research. Yale has access to many large data sets and cloud computing options, and it is expected that this position will engage with those data resources.
The position is expected to last 1-2 years.
- PhD with a focus on Natural Resource & Environmental Economics, Economic Measurement, or closely related areas.
- Knowledge of economic dynamics or capital theory.
- Strong programming capabilities. Our group is working mostly in R and python these days.
- Abilities in econometrics or applied statistics.
- Knowledge and interest in ecological and economic systems.
- Ability to conduct independent and collaborative research.
- Strong English language writing and communication.
Additional Desirable Qualifications
- Experience with non-market valuation techniques.
- Understanding of national accounts preferred.
- High performance or cloud computing experience.
- Experience with large data sets, including spatial data, administrative data, and consumer data.
Yale offers an excellent and exciting interdisciplinary environment with a strong core group in environmental economics. Yale has many exciting initiatives related to data that this post-doc could tap into including an environmental data science initiative, a spatial data initiative, and data enabled social science initiative. Furthermore, Dr. Fenichel’s research in this area has help, and is expected to continue to help, shape national and global policy. This position offers a competitive salary and excellent benefits. Most prior post-docs have gone onto their targeted faculty positions (no promises, but a good pattern).
To apply or for more information Eli Fenichel at firstname.lastname@example.org.
Applications should be a single pdf containing
- a cover letter describing interests and skills as related to the job description,
- a CV,
- a link to a public code repository or a one-page description of a computational project he/she/they has engaged in outside of a class,
- the contact information for three references, and
- a copy (or link to) the candidates Job Market Paper.
Evaluation of applications will begin on December 10th and will be rolling after that.
Affirmative Action Statement:
Yale University considers applicants for employment without regard to, and does not discriminate on the basis of, an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression. Title IX of the Education Amendments of 1972 protects people from sex discrimination in educational programs and activities at institutions that receive federal financial assistance. Questions regarding Title IX may be referred to the University’s Title IX Coordinator, at TitleIX@yale.edu, or to the U.S. Department of Education, Office for Civil Rights, 8th Floor, Five Post Office Square, Boston MA 02109-3921. Telephone: 617.289.0111, Fax: 617.289.0150, TDD: 800.877.8339, or Email: email@example.com