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Description
~ The Nicholas School of the Environment strives for a new paradigm that views and attempts to understand the earth and the environment, including humans, as an integrated whole. ~
Its mission is to create knowledge and global leaders of consequence for a sustainable future. As a result, it seeks to recruit and retain a diverse workforce to maintain the excellence of the University, and to offer students varied perspectives, ways of knowing, and approaches to learning.
Duke has been named a Great College to Work For by the Chronicle of Higher Education. Surrounded by thousands of acres of undeveloped woodlands and gardens, Duke boasts one of the most beautiful campuses in the world. Duke's hometown is Durham, North Carolina, a city with vibrant research, medical and arts communities, and numerous shops, restaurants and theaters.
Durham is one of three municipalities, along with Raleigh and Chapel Hill, that form the Research Triangle, a growing metropolitan area of more than one million people that provides a wide range of cultural, recreational and educational opportunities.
Position Overview
Duke’s Nicholas School of Environment is seeking a postdoctoral associate with experience in quantitative modeling of biodiversity and remote sensing.
Initial appointment will be for two years, with possibility to extend to three years. Position is available immediately. Selected candidate will need to meet all hiring requirements, including a background check, prior to start date.
The candidate must have experience with the R programming language and a background in geospatial and remote sensing analysis. The candidate should be capable of working independently and collaboratively. The researcher will be expected to prepare results for peer reviewed journals.
The position will be supervised by Drs. Jim Clark and Jennifer Swenson.
Responsibilities
- This position will analyze spatio-temporal dynamics of multiple species and biophysical variables across US NEON sites.
- The associate will advance generative joint-attribute Bayesian modeling of community response to climate change to predict distribution and abundance of species.
- Modeling will directly access NASA’s online remotely sensed data storage.
- The researcher will be responsible for development, implementation, and support of a software application.
- Travel to domestic conferences on an annual basis.
Qualifications
Basic Qualifications:
- Applicants should hold a PhD in ecology or similar field.
- Previous doctoral or postdoctoral research experience should include quantitative analysis of large datasets.
- Applicants should be fluent in R, and have experience programming in other languages, such as Python or JavaScript.
- Experience with Git/GitHub, RMarkdown, Shiny, and Jupyter Notebooks is a plus.
- Candidate must be legally authorized to work in the USA. Visa sponsorship is not available.
Preferred Qualifications:
- Candidates with 3+ years of experience in Bayesian modeling and/or manipulation of large remotely-sensed datasets.
- Familiarity with geospatial analysis and remote sensing is preferred.
- Familiarity with both fine spatial scale measurements (field surveys and remote sensing) and with coarse scale data (remote sensing and geospatial data) is ideal.
Additional Information
To Apply
Please click "Apply on Company Website" below to upload the following documents:
- Cover Letter
- Curriculum Vitae
- Reference (optional) (no actual letters, just names and email addresses help popup)
- And anything else requested in the position description