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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

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Country

United States

University

Ohio University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Artificial Intelligence
Fault Detection
Hardware Security
Digital Systems
ML

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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.

More information can be found here

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