Description

Job Description

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

Responsibilities

• 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.

Qualifications

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

About Us

Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities.

Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at [email protected].