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Frederic Rizk

Professor

The University of Texas at Tyler

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United States

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Research Interests

Artificial Intelligence

20%

Electrical Engineering

20%

Hardware Security

20%

Computer Science

20%

Information Technology

20%

Machine Learning

10%

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Positions2

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Frederic Rizk

University Name
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University of Texas at Tyler

Postdoctoral Research Associate in Trustworthy AI and Hardware Security at University of Texas at Tyler

Postdoctoral Research Associate opportunity at the University of Texas at Tyler in the Department of Electrical and Computer Engineering and the Center for Advanced Research in Intelligent Systems and Emerging Technologies (CARISET) . The position is supervised by Professor Frederic Rizk and focuses on interdisciplinary research at the intersection of Trustworthy AI , Machine Learning , and Hardware Security . Research themes include Physical Unclonable Functions (PUFs) , secure computing frameworks, interpretability, distributed systems, robust ML, quantum integration, and HPC-AI. Applications in healthcare, energy, and autonomous infrastructure are highlighted. This is a research-intensive postdoctoral role with responsibilities to conduct independent research, publish in top-tier journals and conferences, assist in securing grants (including NSF, TARP, Texas Instruments, and similar), and mentor MS students while collaborating across engineering and computer science departments. Eligibility requires a Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering by Fall 2026 , along with strong programming skills, technical initiative, and expertise in PUFs, cryptography, or AI/ML frameworks. To apply, submit a single PDF with your CV, letter of interest, and three professional references by email to [email protected] .

Publisher
source

Frederic Rizk

University Name
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University of Texas at Tyler

Fall 2026 MS Research Opportunity in AI, Deep Learning, Hardware Security, and Quantum Computing

Research opportunities are open for Fall 2026 at the Center for Advanced Research and Intelligent Systems and Emerging Technologies (CARISET) at the University of Texas at Tyler . The lab is seeking highly motivated MS students interested in AI , Deep Learning , Large Language Models (LLMs) , Hardware Security , Quantum Computing , or related areas. The work is described as interdisciplinary and focused on cutting-edge solutions for real-world engineering challenges. Supervisor / announcer: Frederic Rizk, Professor at UT Tyler. Contact: [email protected] . How to apply: Email your application to the supervisor with the subject line [Prospective MS Research Student – CARISET] . Attach your updated CV, academic transcripts, and a brief research statement explaining your interests. External applicants: If you are not currently enrolled at UT Tyler, you must also apply through the Graduate School portal for the MS in Computer Science or MSEE programs. Eligibility / requirements: The post is aimed at MS-level applicants with strong motivation and technical curiosity. The linked graduate admissions page shows that UT Tyler graduate programs may require transcripts, CV/resume, statements of purpose or research interests, recommendation letters, and in some cases GRE scores; some requirements may be waived for UT Tyler graduates with a minimum 3.0 GPA. Application window: Fall 2026. No exact closing date is stated in the post.

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