Fully Funded PhD Positions in AI and Remote Sensing for Air Quality and Health

Fully funded PhD positions in AI and remote sensing for air quality and health - Stony Brook University, USA. Start: Fall 2027. Openings: 1-2. Research group: Dr. Guanyu Huang. Enroll through Marine and Atmospheric Sciences or Public Health. Supported by multiple federal agencies. Research areas: trace gas and aerosol retrievals from satellites; AI and foundation models for trace and greenhouse gases, from retrieval to emission estimation and prediction; air pollution exposure and health impact assessment. What we offer: full financial support (stipend, tuition, health insurance) through research and teaching assistantships; close mentoring and collaboration with scientists from federal agencies and universities; access to high-performance computing resources and a growing interdisciplinary group; a Long Island campus within easy reach of New York City. Who we're looking for: BS or MS in atmospheric science, environmental science/engineering, physics, geography/GIScience, computer science, statistics, public health or a related field; strong programming skills (Python preferred) and a solid quantitative background; interest in AI and/or satellite data (prior experience with remote sensing, chemical transport models or deep learning frameworks is a plus but not required); curiosity, initiative, and clear written and spoken communication. How to apply: email a CV and unofficial transcripts to Dr. Huang at [email protected] or [email protected] with subject line "PhD application - [your name]". Formal applications go through the Stony Brook Graduate School. No deadline stated.