Postdoctoral Fellow- Environmental Modeling and Political Economy

The project integrates environmental modeling, data sciences, health science, and political economy to examine how global price fluctuations influence artisanal and small-scale gold mining, mercury emissions, and socio-economic outcomes.  The research will combine machine learning, Earth system modeling, and socio-economic analysis to quantify the environmental and economic analysis to quantify the environmental and economic impacts of mercury pollution and evaluate policy strategies to reduce emissions and improve community well-being

 

• Develop and apply data-driven and machine learning models to quantify relationships betwen ASGM mercury emissions and socio-economic drivers such as gold prices, employment, and poverty indicators
• Contribute to Earth system modeling of mercury transport, deposition, and environmental redistribution, linking emissions to human exposure pathways.
• Integrate environmental, epidemological, and economic datasets to quantify health and economic impacts of mercury exposure
• Evaluate policy interventions and edevelopment strategies aimed at reducing mercury emissions and breaking poverty traps in mining communities
• lead and contribute to peer-reviewed publicationos and conference presentations
• Participate in the intelletural community of the Murphy Institute by attending seminars, workshiops, and interdisciplinary events.

Required Qualifications:

• Ph.D in Earth and Environmental Sciences, Environmental Engineering, Atmospheric Science, Economics, Public Policy, Data Science, or related discipline
• Experience with quantitative modleing, data analysis, or machine learning
• Strong programming skills ( e.g. FORTRAN, Python, R, MATLAB, or similar)
• Demonstratred ability to conducut independent research and publish scholarly work

 

Preferred Qualifications:

• Experience with Earth system models, atmospheric, or environmental transport modeling, or integrated assessment modeling
• Familiarity with environmental health or socio-economic data analysis
• Interest in interdisciplinaty research linking enivronmental science and public policy

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