[ES_JOBS_NET] Graduate Research Assistantships/Fellowship Available at Howard University

[Osinachi Ajoku]

Graduate Research Assistantships/Fellowships available at

Howard University Graduate Program in Atmospheric Science (HUPAS)



Multiple MS or PhD positions are available at the Howard University
Graduate Program in Atmospheric Science (HUPAS)

(https://gs.howard.edu/graduate-programs/atmospheric-science )



Enthusiastic and motivated students with BS/MS degrees in meteorology,
atmospheric sciences, physics, chemistry, engineering, computer science, or
related fields are encouraged to apply.



Qualifications include: US Citizenship, 3.0 GPA and higher



Research topics include:

   -

   Wildfires (Prof. Charles Ichoku): Investigate the complex energetics and
   emissions processes in wildfires and other types of biomass burning, to
   contribute effectively toward the reduction of current large fire-emissions
   uncertainties and the advancement of associated environmental and climate
   research and applications. The successful candidate will be expected to
   participate in field studies/campaigns and calibrate and operate a variety
   of scientific instrumentation to collect relevant measurements from
   ground-based and airborne platforms, including unmanned aerial systems
   (UAS).
   -

   Aerosols and large-scale climate dynamics (Prof. Osinachi Ajoku): Better
   understand aerosol-cloud-radiation interactions using observations and
   models. The successful candidate must be willing to learn how to run a
   global or regional climate model and how to use a programming language for
   data analysis.
   -

   Shared Socioeconomic Pathways (SSP’s) and Tropical Belt Width (Prof.
   Osinachi Ajoku): Investigating global climate model runs through the end
   of the 21st century to evaluate factors impacting the width of the
   tropical belt. Successful candidates will have the opportunity to spend
   some summers at the National Center for Atmospheric Research (NCAR) and
   work first-hand with the Community Earth System Model (CESM).
   -

   Scalar and Momentum Exchange at the Atmospheric Surface Layer (Prof.
   Ricardo Sakai): 1) Investigate turbulent exchange of momentum, heat,
   moisture, and CO2 using observational data from several towers within the
   MD/DC region.  2) Study of gas and aerosol exchange between surface and
   air aloft focusing on air-quality. The successful candidate will work
   with micrometeorological and air quality instrumentation and data
   analysis. Numerical modelling might be required for the PhD track.


   -

   Planetary Boundary Layer Detection and Local Circulation within
   Urban/Suburban/Coastal Interface (Prof. Ricardo Sakai): Investigate
   local circulations and internal boundary layers within urban/suburban
   interface and/or the influence of the Chesapeake Bay Breeze over Baltimore
   City. The successful candidate will work with radiosonde, ceilometers,
   micro-wave radiometers, and other remote sensing data products.  Some
   field work is required. For the PhD track, numerical modelling will be
   required.
   -

   Cumulative Health Impacts at the Intersection of Climate Change,
   Environmental Justice, and Vulnerable Populations (Prof. Joseph L. Wilkins):
    Estimating the Health Effects of criteria pollutants such as
   Particulate Matter and Ozone from Wildfires in California and their related
   impacts across the Continental United States. The successful candidate will
   be employing and developing innovative tools, along with machine learning
   and data assimilation methods, to address Community-Based Research for
   solutions related to retrospective analysis and future climate scenarios.
   This project will inform decision-making for public health guidance and
   community investments related to wildland fire smoke exposure.
   -

   Numerical Weather Prediction and Forecasting tools development (Prof.
   Joseph L. Wilkins): Using the existing atmospheric science models and
   tools to develop improved products and better estimations for the
   application-based end-users. The successful candidate will use machine
   learning and data assimilation techniques in conjunction with remote
   sensing and Geographical Information Systems tools to handle complex
   meteorological problems within forecasting and numerical weather
   predictions.
   -

   Evaluation of operational model boundary layer depth in urban and rural
   areas (Prof. Sen Chiao): Improved UFS FV3 global and limited area model
   parameterizations of the atmospheric boundary layer is the main theme of
   this project. The boundary layer parameterizations used by UFS FV3 play
   an important role for driving air quality prediction (e.g., CMAQ). This
   project aims to quantify uncertainty in capturing the PBL structure and
   evolution, and then, to improve the atmospheric boundary layer
   parameterizations used in the FV3 model.



Candidates with strong backgrounds in python, numerical modeling and remote
sensing are encouraged to contact Dr. Joseph Wilkins (
joseph.wilkins at howard.edu).

In addition to Graduate Research Assistant (GRA) positions, some possible
Teaching Assistant (TA) opportunities are available. To be fully considered
for a research or teaching assistantship for Fall 2022, full applications
must be submitted https://gradcas2022.liaisoncas.com
<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgradcas2022.liaisoncas.com%2F&data=04%7C01%7Csen.chiao%40Howard.edu%7C4ef26773b1224492f2d408d989a4c157%7C02ac0c07b75f46bf9b133630ba94bb69%7C0%7C0%7C637692162971298545%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=AFKKI4Vn5MWIarALiiullCJhjxYtHJUg3foBsDH%2FdMc%3D&reserved=0>
 no later than January 15, 2022.


Best,

-- 
Osinachi Ajoku, PhD
Assistant Professor, Howard University
Edward A. Bouchet Graduate Honor Society
(323)302-3761

*"I know where I'm going and I know the truth, and I don't have to be what
you want me to be. I'm free to be what I want."*
- Muhammad Ali
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