[ES_JOBS_NET] Graduate Research Assistantships/Fellowship Available at Howard University
Ajoku, Osinachi
osinachi.ajoku at Howard.edu
Wed Oct 13 16:08:58 MDT 2021
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, The 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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