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Kent State Campus. Credit: KSU
Postdoctoral Researcher or PhD Assistantship: 🛰️Remote sensing for monitoring disaster impacts on🌾agricultural land
Overview: We invite applications for one position (postdoctoral or PhD level) on NASA-funded projects. The successful candidate will join the SensLand Lab at Kent State University led by He Yin, collaborating with Jamon Van Den Hoek (Oregon State University) and David Saah (University of San Francisco). The research focuses on using remote sensing and machine learning, particularly deep learning to assess how disasters (e.g., natural hazards, armed conflicts) affect agricultural land use/land cover.
Positions:
Qualifications:
Proficient in at least one programming language (e.g., Python) or geospatial platform (e.g., Google Earth Engine) and experienced in imagery processing, with a strong emphasis on machine learning and deep learning techniques. Familiarity with agricultural land use is helpful but not mandatory. Excellent communication and writing skills. Ability to excel in a collaborative, interdisciplinary environment.
To apply:
Additional Information
Open to both U.S. and international applicants. Kent State University will assist with visa applications as needed.
Review of applications will begin immediately and continue until the position is filled.
Kent State University is an Equal Opportunity/Affirmative Action employer. We promote excellence through diversity and encourage all qualified individuals to apply.
Overview: We invite applications for one position (postdoctoral or PhD level) on NASA-funded projects. The successful candidate will join the SensLand Lab at Kent State University led by He Yin, collaborating with Jamon Van Den Hoek (Oregon State University) and David Saah (University of San Francisco). The research focuses on using remote sensing and machine learning, particularly deep learning to assess how disasters (e.g., natural hazards, armed conflicts) affect agricultural land use/land cover.
Positions:
- Postdoctoral Researcher
Appointment: One year, with potential extension based on performance and available funding
Start Date: Negotiable
Requirements: PhD completed by the time of appointment; Demonstrated record of peer-reviewed publications - PhD Assistantship
Appointment: Two-year Research Assistantship, with a start date as early as August 2025
Requirements: BS required; MS or equivalent experience preferred
Qualifications:
Proficient in at least one programming language (e.g., Python) or geospatial platform (e.g., Google Earth Engine) and experienced in imagery processing, with a strong emphasis on machine learning and deep learning techniques. Familiarity with agricultural land use is helpful but not mandatory. Excellent communication and writing skills. Ability to excel in a collaborative, interdisciplinary environment.
To apply:
- Please email the following materials (in PDF) to Dr. He Yin ([email protected])
- Cover Letter (2 pages max.): Summarize your research interests and relevant experience
- Curriculum Vitae
- Unofficial transcripts (undergraduate and graduate, combined in one PDF)
- Contact Information for two references. Shortlisted candidates will be asked to provide official transcripts and reference letters.
- Applications received by March 25, 2025, are guaranteed full consideration.
Additional Information
Open to both U.S. and international applicants. Kent State University will assist with visa applications as needed.
Review of applications will begin immediately and continue until the position is filled.
Kent State University is an Equal Opportunity/Affirmative Action employer. We promote excellence through diversity and encourage all qualified individuals to apply.