Ahmed Oun

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 .