Dr. Sanju Purohit
1 year ago
Coastal science, wildfire impacts, agriculture UC Santa Cruz in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026
Country
United States
University
University Name
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
More information can be found here
Official Email
Keywords
Computer Science
Machine Learning
Ecology
Environmental Science
Agriculture
Biology
Remote Sensing
Geography
Urban Planning
Coastal Engineering
Applied statistics
Engineering
Wildfire Impacts
About this position
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
Ask ApplyKite AI
Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?
Professors
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
The GeoFly Lab at UCSC’s Environmental Studies Department is offering a fully funded PhD position starting Fall 2025. This position, part of a larger interdisciplinary project supported by NSF, NASA, and USDA, focuses on using GIS, remote sensing, machine learning, and AI to study coastal science, wildfire impacts, and agriculture.
Who should apply? Candidates from fields like geography, computer science, urban planning, GIS, statistics, ecology, and environmental studies are encouraged. The role involves high-resolution UAS and aerial imagery analysis to model seagrass and wildfire dynamics, plus collaboration with UCSC researchers and partners across ecology, biology, and engineering.
?? Deadline for initial interest: November 15, 2024
?? Send your CV, a personal statement, and unofficial transcripts to Dr. Bo Yang at [email protected] .
Note: Although I’m not affiliated with UCSC or involved in hiring, I’m based in the USA and can guide or support interested applicants as a volunteer.
# PhDopportunity # remotesensing # GIS # environmentalstudies # machinelearning