Postdoctoral Research Associate in Atmospheric Remote Sensing
Washington, DC
Applications have closed
Georgetown University
Description
The Jones Lab at Georgetown University uses innovative techniques to map greenhouse gas emissions both locally and around the world. The lab is actively engaged in sensor development, field work, and the analysis of data from satellites and aircraft. The lab is hiring 1-2 Postdoctoral Research Associate(s), who will work with Professor Taylor Jones on projects such as:
- Developing new statistical methods for the interpretation of atmospheric greenhouse gas data from satellites
- Designing, building, and operating novel environmental sensors for basic research and science communication
- Creating web-portals and visualizations for complex data
- Building models and sensors for the estimation of ecosystem carbon exchange in urban and forested environments.
Candidates will be expected to contribute to collaborative projects and to help build the newly established lab. Candidates will have the opportunity for conference travel and to build their research experience in a way that supports their career goals. In addition, they will be part of a vibrant and growing community of Earth and environmental scholars at Georgetown University. This position will involve close collaboration with partners at institutions such as NASA, NIST, and other universities.
The position is based in Washington D.C. and will start as soon as Summer 2024 or as late as Fall 2024 for a 1 to 2 year appointment. The salary is commensurate with experience. Although these positions are fully funded, it is expected that the candidate would contribute to the writing of one or more grant applications.
Applicants must have a PhD by Summer of 2024 in atmospheric science, environmental science, statistics, data science, engineering, or related field.
Qualifications
- A strong personal desire to make the world a better place through science
- Expertise in quantitative modeling, computational and/or Bayesian methods
- Expertise using at least one programming languages in the analysis of scientific data such as R, Python, Matlab, or Julia.
- Expertise in modeling Atmospheric circulation and/or trace gas emissions
- Expertise with remote sensing data products, particularly XCO2, XCH4, or SIF
- Engineering skills such as CAD drawing, 3D printing, PCB design, or microcontroller programming.
- Internet-of-things (IoT) network and dashboard design
- Experience in atmospheric and/or environmental science fieldwork.
- Strong written and oral communication skills
- Strong collaborative and organizational skills
- Interests and expertise in climate policy
Application Instructions
To apply, please submit the following materials through Interfolio:
- Cover letter describing your interest in the position, your career objectives, and relevant expertise and background
- CV
- Sample publication or preprint
- Names and contact information for 3 references.
Applications will be reviewed on a rolling basis. Please contact Professor Jones (taylor.jones@georgetown.edu) if you have any questions about the position.
Equal Employment Opportunity Statement
Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex (including pregnancy, gender identity and expression, and sexual orientation), disability status, protected veteran status, or any other characteristic protected by law.
If you are a qualified individual with a disability and need a reasonable accommodation for any part of the application and hiring process, please click here for more information, or contact the Office of Institutional Diversity, Equity & Affirmative Action (IDEAA) at (202) 687-4798.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian CAD Engineering Julia Matlab PhD Python R Research Statistics
Perks/benefits: Career development Equity / stock options
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