Environmental Health and Smart Cities (NSF Funded
Environmental factors have a direct influence on individuals’ everyday health and well-being. We utilize in-situ and on-body environmental sensors to monitor heat stress; then we develop visualizations and on-body alert systems to support individual and community resilience to extreme heat. Students interested in doing work at the intersection of smart cities, environmental sensing, data science, machine learning, HCI, information visualization and urban planning are encouraged to apply.
Supervising Faculty: Dana Habeeb
An ideal candidate should have experience in at least one of these domains with interests in developing skills in other focus areas.
Conditions of Employment
Course Credit Hours: 3
Expected Hours Per Week: 10
Email email@example.com to apply to the position.