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Publisher
source

Noorbakhsh Amiri

1 year ago

Computer Science The University of Alabama in United States

Degree Level

PhD

Field of study

Computer Science

Funding

This is a fully funded PhD position. Funding includes a stipend and tuition coverage, as stated in the announcement. No further financial details are provided.

Deadline

Dec 28, 2026

Country flag

Country

United States

University

The University of Alabama

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Keywords

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

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

This is a fully funded PhD position. Funding includes a stipend and tuition coverage, as stated in the announcement. No further financial details are provided.

What's required

Applicants must hold a Master’s degree from a U.S. institution in Computer Science, Electrical Engineering, Remote Sensing, or Geoinformatics. Prior research experience in hyperspectral imaging and remote sensing is required. Strong proficiency in MATLAB/Python and deep learning frameworks such as TensorFlow or PyTorch is essential. Candidates should have a solid understanding of machine/deep learning, spectral analysis, image processing, and computer vision techniques, as well as excellent problem-solving, analytical thinking, and communication skills. Proficiency in English and meeting the university’s language requirements are mandatory.

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Professors

Assistant Professor of Computer Science at The University of Alabama

University Name
Country flag

United States

Research Interests

Computer Vision

Computer Science

Data Fusion

Electrical Engineering

Environmental Science