Ph.D. Assistantship at Oklahoma State University - Hyperspectral Remote Sensing of Biodiversity

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Description: 

We are seeking a Ph.D. student for our recently NASA funded HI-GRASS (Holistic Investigation of Grassland Systems across Scales) project. The Ph.D. student will integrate imaging spectroscopy or “hyperspectral remote sensing” collected from unoccupied aircraft systems (UASs; a.k.a. drones), airborne, and spaceborne platforms with in situ observations (e.g., plant diversity, soil microbial and fungal diversity, animal telemetry) to uncover the factors influencing grassland aboveground and belowground biodiversity. Ideal target start date is May 2026. For full consideration, please apply by January 15th, 2026.

 

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Qualifications:

·        Master’s degree (at the time of appointment) in remote sensing or other related fields

·        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.

·        Strong research or work experience in hyperspectral remote sensing

·        Ability to work both independently and in a collaborative setting

·        Excellent written and oral communication skills

·        First-author peer-reviewed publications

·        Background in statistical methods

·        Enthusiastic about grasslands

·        Comfortable with fieldwork in remote settings

 

Other qualifications:

·        Familiarity with high performance computing

·        FAA remote pilot license

·        Familiarity with grassland ecosystems

 

To Apply: 

Please contact Dr. Hamed Gholizadeh (h.gholizadeh1@gmail.com) 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. A full application to the Graduate College will be required for an official offer to be made. 

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