Ph.D. Assistantship – Improving wildland fire potential mapping using remote sensing and artificial intelligence

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Description:

We are seeking a Ph.D. student for a NASA-funded project to use remote sensing and artificial intelligence to improve wildland fire potential mapping and assess the risk of electrical wildfires. The applicant will work with Dr. Hamed Gholizadeh at Oklahoma State University. Ideal target start date is Spring 2025.

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Qualifications: 

•    Masters’ degree (at the time of appointment) in remote sensing, environmental sciences, geography, or other related fields with relevant research or work experience
•    Programming is expected to be the core for remote sensing data analysis. Therefore, having previous experience and knowledge on how to code (e.g., Python, R, MATLAB) is ideal. Familiarity with shell scripting, Linux command line tools, and high performance computing for image processing will be ideal (but not necessary).  
•    Strong research or work experience in remote sensing 
•    Ability to work independently and in team settings
•    Excellent written and oral communication skills
•    First-author peer-reviewed publications 
•    Background in machine learning and statistical methods

 

To Apply:

If interested in the position or for more information, please contact Dr. Hamed Gholizadeh (hamed.gholizadeh@okstate.edu) and include your CV and a brief cover letter explaining your research and career interests. Review of the applications will begin immediately and will continue until position is filled with the ideal start date of Spring 2025. A full application to the Graduate College will be required for an official offer to be made. More information can be found at https://geog.okstate.edu/programs/graduate-program/application-procedures

 

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