Chengbin Deng
5 months ago
Remote sensing University of Oklahoma in United States
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
The PhD position is fully funded, covering tuition and providing a stipend. The postdoctoral position is supported by federally funded projects from NASA and NSF. No specific stipend amounts are mentioned.
Deadline
Expired
Country
United States
University
University of Oklahoma

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Where to contact
Official Email
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About this position
The University of Oklahoma is offering two exciting research opportunities in remote sensing: a Postdoctoral Research Associate and a fully funded PhD student position. Both roles are based in the Center for Spatial Analysis under the supervision of Dr. Chengbin Deng, an Associate Professor with extensive experience in NASA and NSF-funded research on land use change and urban computing. The postdoctoral position requires a PhD in remote sensing, GIS, computer science, or engineering, with strong programming skills (Python or MATLAB), a solid background in mathematics and statistics, and a record of research publications.
Experience with multi-source remote sensing, GeoAI, high-performance computing, machine learning, or deep learning is advantageous. The fully funded PhD position is open to candidates with a BS or MS in remote sensing, computer science, or related fields, strong programming skills, and a passion for research. No GRE is required, but international students must provide TOEFL or IELTS scores. Both positions offer the chance to work on federally funded projects and collaborate with a successful research group.
To apply, candidates should email Dr. Deng with a cover letter, CV, references, and transcripts (plus TOEFL/IELTS scores for PhD applicants). The PhD position starts in Spring 2026.
Funding details
The PhD position is fully funded, covering tuition and providing a stipend. The postdoctoral position is supported by federally funded projects from NASA and NSF. No specific stipend amounts are mentioned.
What's required
For the Postdoctoral Research Associate: PhD in remote sensing, GIS, computer science, or engineering; strong programming skills in Python or MATLAB; solid background in mathematics and statistics; research publication record; experience with multi-source remote sensing, GeoAI, high-performance computing, machine learning, or deep learning is a plus. For the PhD position: BS or MS in remote sensing, computer science, or related fields; strong programming skills; passion for research; no GRE required; TOEFL or IELTS required for international students. Applicants should submit a cover letter, CV, references (2-3), transcripts, and TOEFL/IELTS scores (if applicable).
How to apply
Send an email to [email protected] with your cover letter, updated CV, 2-3 references, and transcripts (plus TOEFL/IELTS scores if applying for the PhD).
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