Post Doctoral Fellow
Job Description
Full job description
The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff “for fit” makes significant contributions to Howard University’s overall mission.
BASIC FUNCTION
The NOAA Center in Atmospheric Sciences & Meteorology (NCAS-M) invites applications for a postdoctoral fellow position, focused on the atmospheric modeling and analysis of aerosol, biomass burning, and emissions from wildfires. The successful candidate will join a multidisciplinary team to develop early detection and forecast tools, including satellite-based fire detection systems, improve high-resolution weather models to identify rapidly changing weather situations and predict smoke transport, and assist real-time analysis to accurately predict how weather will influence fire behavior. The postdoctoral fellow will work independently and collaboratively under the direction of the NCAS-M and NOAA collaborators. The position will be located at Howard University, but the postdoc is expected to spend time at NOAA labs.
SUPERVISORY AUTHORITY:
This position does not have supervisory responsibilities. However, the position is accountable for the day-to-day research activities.
NATURE AND SCOPE:
Internal contacts are with faculty, staff, and students. External contacts are with representatives of the NOAA Line offices and other NOAA researchers.
PRINCIPAL ACCOUNTABILITIES:
- Evaluate and improve wildfire early detection and forecast tools based on observations that will be used to evaluate the minimal model required to predict observed statistical fluctuations in the mixed layer.
- Develop a blended approach using traditional weather prediction models, such as the Weather Research Model (WRF), and AI techniques at specific points (temporal and spatial) in the traditional weather value chain, which could be the best strategy to optimize the strengths of traditional predictive methods in association with AI to produce the best accuracy for a given location and time. Attend meetings and professional conferences to present research results and interact with collaborators and users; assist in the preparation of publications to describe results when appropriate.
- Assist with managing research projects (e.g., research design, IRB approval, data collection, data analysis), and research products (e.g., writing, presentations).
- Contributes to the overall development of the NCAS-M modeling program and participates in the mentorship of graduate research assistants.
- Performs complex statistical analyses which includes selecting appropriate analysis procedures, setting up data for analysis, judging the validity and reliability of data, designing, and writing programs to perform the analyses, and producing written reports on the result of the analysis.
- Publish peer-reviewed scientific papers and present results at national/international conferences.
- Assists faculty researchers, or may act independently, in the planning and designing of research projects, establishing priorities, and recommending schedules, timetables, and costs.
- Collaborate on additional research projects within the atmospheric science research group at Howard University and across the broader scientific community.
CORE COMPETENCIES:
- Experience with numerical models (e.g., WRF, E3SM, CESM, MPAS, UFS, MERRA) with proficiency in scientific programming languages (e.g., Fortran, Python, C++, etc.) for modeling and model output analysis.
- Knowledge of and experience with atmospheric, clouds and water cycle is essential.
MINIMUM REQUIREMENTS:
PhD received within the last 1 years in atmospheric sciences or a closely related field. Demonstration of organizational skills with the ability to work effectively in teams is essential. Additionally, working independently to produce reports and publish research results in peer-reviewed journals is required.
PhD received within the last 1 years in atmospheric sciences or a closely related field. Demonstration of organizational skills with the ability to work effectively in teams is essential. Additionally, working independently to produce reports and publish research results in peer-reviewed journals is required.
*Please mention you saw this ad on AcademicJobs.*
