Ahmed Oun
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M.S./Ph.D. Opportunity in AI/ML for Reliable and Secure Hardware Accelerators Ohio University in United States
Degree Level
Master's, PhD
Field of study
Computer Science
Funding
Available
Deadline
Jan 1, 2027
Country
United States
University
Ohio University

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About this position
Graduate research opportunity for M.S./Ph.D. students in AI/ML for reliable and secure hardware accelerators at Ohio University, School of Electrical Engineering and Computer Science (EECS).
The project focuses on AI/ML-based hardware fault detection and classification, deep learning and TinyML for reliable computing, fault injection analysis, inference-aware vulnerability assessment, and secure and resilient FPGA-based AI accelerators.
Ideal applicants should have a strong background in artificial intelligence, machine learning, and deep learning. Experience with CNNs, TinyML, efficient ML architectures, FPGA design, Verilog/VHDL, or digital hardware systems is highly relevant. Prior research experience or publications in related areas are preferred.
This is a research-group opening announced by Ahmed Oun, Assistant Professor at Ohio University. Interested candidates should email a CV and a brief statement of research interests to [email protected].
The post mentions Fall 2027 admission and says the application deadline is in early January 2027.
Funding details
Available
What's required
Applicants should have a strong background and hands-on experience in AI/ML and deep learning. Experience with CNNs, TinyML, or efficient ML architectures is preferred. Familiarity with FPGA design, Verilog/VHDL, or digital hardware systems is required or strongly preferred. Previous research experience or publications in related areas are also preferred.
How to apply
Email your CV and a brief statement of research interests to [email protected]. The post says applications for Fall 2027 admission are due in early January 2027.
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