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.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:

• Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
• Work-Life Balance: PTO, paid holidays, flexible work arrangements
• Financial Wellness: Competitive salary, 403(b) with company match
• Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
• Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

Job Description
JOB PURPOSE:
The Research Associate will conduct atmospheric sciences research at Howard University. The research will focus on data assimilation and applying techniques to improve extreme weather and air quality forecast and its relation to climate science. Specifically, the research associate will develop the Optimized Mesoscale Network (OptiMesoNet) method, which is an analytical system based on the forward model (simulator) and Observing System Simulation Experiments (OSSEs) by considering the cost-benefit analysis, which can be used in the design and assessment of a network of measurements, no matter whether those measurements are acquired from ground, air, or space. The research associate will illustrate this method using ground-based networks. The overarching goal of his position is to improve convection and planetary boundary layer (PBL) observations by developing, implementing, and demonstrating the ability to perform cost-benefit analysis for a proposed network configuration. To achieve this objective, our approach begins with the data assimilation technique known as the Ensemble Adjustment Kalman Filter (EAKF). We will enlist the Data Assimilation Research Testbed (DART) and incorporate the WRF-Chem model (Chem-DART).
SUPERVISORY AUTHORITY:
Working with undergraduates and Graduate Schools
NATURE AND SCOPE:
Internal contacts include Howard Wilkins lab at HUPAS. External contacts include NASA JPL, NOAA, US EPA. The position will support ongoing research projects focused on extreme weather and air quality (e.g., wildfire). This role involves setup model on the high-performance computer (HPC), conducting numerical experiments, and analysis, and contributing to academic publications. The candidate will collaborate with a team of scientists to produce high-quality research and present findings at conferences.
PRINCIPAL ACCOUNTABILITIES:

• Apply for HPC computing resources.
• Install numerical weather models on HPC.
• Design and setup numerical experiments,
• Analyze the model results.
• Contribute to the preparation of reports and peer-reviewed journal articles.
• Collaborate with team members to develop and submit research proposals.
• Present research findings at academic conferences and workshops.

CORE COMPETENCIES:

• PhD degree in Atmospheric Sciences, or a related field
• 2+ years of postdoc experience in atmospheric science
• Proficiency in weather modeling (e.g., WRF, MPAS), data assimilation (e.g., EnKF), data analysis software (e.g., FORTRAN, Python)
• Knowledge of and experience with mesoscale, air quality, wildfire is essential.
• Strong communication skills and ability to work in a team.

MINIMUM REQUIREMENTS:

• PhD in a related field
• Experience with grant writing and securing research funding.

Compliance Salary Range Disclosure