M. Shaban
Tuition Waiver
3 weeks ago
PhD in Systems Engineering (Electrical and Computer Engineering Track) in Image Processing and Machine/Deep Learning University of South Alabama in United States
Degree Level
PhD
Field of study
not provided
Funding
Full funding availableCountry
United States
University
University of South Alabama

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
More information can be found here
Official Email
About this position
The Computer Vision Laboratory at the University of South Alabama is recruiting a single Ph.D. student for a Graduate Research Assistant position in Systems Engineering (Electrical and Computer Engineering Track). The project focuses on image processing, machine learning, and deep learning, making it a strong fit for applicants interested in computer vision and related intelligent systems research.
The opening is announced by M. Shaban, Assistant Professor at the University of South Alabama. The student will join the Computer Vision Laboratory and work under an upcoming EPA grant for a period of four years. The position includes a tuition waiver and a monthly stipend of $2,200.
Eligibility highlights include an M.S. in Electrical Engineering or Computer Engineering. Applicants with a publication record will be prioritized. The post indicates entry in the Fall (August) 2026 or Spring (January) 2027 semesters.
To apply, send a curriculum vitae, an academic transcript, and the names and contact information of three references to [email protected]. The poster explicitly states that LinkedIn messages will not be accepted.
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.
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.