Postdoctoral Research Associate - Engineering

Postdoctoral Research Associate

The postdoc will be anticipated to leverage satellite retrievals of atmospheric composition, emissions and meteorology datasets, and a chemical transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data (e.g., PM2.5, NO2, and SO2) over the United States for electric utility air permitting.

The postdoc will also have the opportunity to work on other topics related to air quality modeling, remote sensing, and machine learning within the scope of ACAG. The postdoc will have various opportunities for professional development, including contributing to and leading grant proposal development (e.g., external postdoctoral fellowships) under the guidance of both mentors. Additional opportunities include delivering guest lectures to strengthen teaching experience, and receiving mentorship in preparing academia and industry job applications, and additional professional tutoring services from the Writing Center and Communication Center at WashU.

Primary

Duties & Responsibilities:

Information on being a postdoc at WashU in St. Louis can be found at (Use the "Apply for this Job" box below)..

Working Conditions:

This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.

Salary Range:

Base pay is commensurate with experience.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Education:

Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.

Certifications /Professional Licenses :

No specific certification/professional license is required for this position.

Work Experience:

No specific work experience is required for this position.

Skills:

Not Applicable

Driver's License:

A driver's license is not required for this position.

Preferred Qualifications:

• PhD in a relevant subject, including but not limited to, atmospheric science, environmental engineering, earth observation, and computer science.
• Strong programming skills and experience with machine learning applications in geoscience are highly desirable.
• Experience of disseminating findings through publications and presentations.
• Strong communication skills, with the ability to work both independently and collaboratively with a research team.

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

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All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at  to view a summary of benefits.

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.