Publisher
source

Hamed Pirsiavash

3 months ago

PhD Positions in Computer Vision and Machine Learning at University of California, Davis University of California, Davis in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

United States

University

University of California, Davis

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Keywords

Computer Science
Artificial Intelligence
Computer Vision
Deeplearning
Machinelearning
Uc Davis
PhD

About this position

Two PhD positions are available in the research group of Associate Professor Hamed Pirsiavash at the University of California, Davis. The group focuses on cutting-edge research in computer vision and machine learning, offering an excellent opportunity for students interested in artificial intelligence, deep learning, and related fields. UC Davis is a leading institution in the United States, providing a vibrant academic environment and access to state-of-the-art resources.

Applicants should have a strong motivation to pursue research in computer vision and machine learning. The group is looking for students who are passionate about these areas and eager to contribute to ongoing projects. While the post does not specify detailed eligibility criteria, prospective students are encouraged to review the research interests of the group and ensure their background aligns with the focus areas.

The application deadline for the PhD program is December 15, 2025. Interested candidates should prepare their application materials and submit them through the official UC Davis application portal. For more information about the research group and Professor Pirsiavash, visit his LinkedIn profile.

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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