Publisher
source

Noorbakhsh Amiri

6 months ago

Computer Science The University of Alabama in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

United States

University

The University of Alabama

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Where to contact

Official Email

Keywords

Computer Science
Environmental Science
Electrical Engineering
Deep Learning
Remote Sensing
Data Fusion
Image Processing
Computer Vision
Earth Science
Feature Selection
Spectral Analysis
Hyperspectral Imaging
Dimensionality Reduction
Machine learning

About this position

A fully funded PhD position is available in the Department of Computer Science at The University of Alabama, starting in Spring or Fall 2026. The research focuses on hyperspectral remote sensing imaging and deep learning, with applications in spectral-spatial analysis, feature extraction, dimensionality reduction, and data fusion. The successful candidate will develop innovative deep learning algorithms for real-world challenges in hyperspectral imaging and remote sensing, collaborate on interdisciplinary projects, and publish in high-impact journals.

Applicants must have a Master’s degree from a U.S. institution in Computer Science, Electrical Engineering, Remote Sensing, or Geoinformatics, with prior research experience in hyperspectral imaging and remote sensing. Strong programming skills in MATLAB/Python and experience with deep learning frameworks (TensorFlow or PyTorch) are required, along with proficiency in English and excellent analytical and communication skills. The position is fully funded, including stipend and tuition coverage.

To apply, candidates should send a detailed CV and a cover letter outlining research interests, relevant experience, and motivation for pursuing a PhD to [email protected]. The application deadline is December 28, 2026.

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.

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