Fully Funded Graduate Research in Geospatial Health

About the role

Mississippi State University invites applications for fully funded Ph.D. and M.S. research assistantships focused on geospatial health. The role combines GIS, public health, data science, and AI to address chronic disease risk, healthcare accessibility, and transport‑health interactions.

Key responsibilities

• Develop spatial models of chronic disease and cancer risk factors.
• Analyze healthcare accessibility and health disparity patterns.
• Investigate relationships between transport infrastructure and health outcomes.
• Apply AI and machine learning techniques for predictive health modeling and early‑warning systems.

Required profile

• Bachelor’s or Master’s degree in Geography, GIS, Remote Sensing, Environmental Science, Public Health, Data Science, or related fields.
• Strong quantitative and analytical abilities.
• Interest in interdisciplinary research linking geospatial technologies and health outcomes.
• Solid academic performance and research aptitude.

Required skills

• Programming in Python and/or R.
• Proficiency with GIS tools such as ArcGIS or QGIS.
• Experience with machine learning frameworks (e.g., TensorFlow, scikit‑learn).

What we offer

• Full tuition waiver.
• Competitive monthly stipend.
• Opportunities for conference travel, publication, and collaborative research.
• Access to state‑of‑the‑art facilities and computational resources.