Postdoctoral Fellow

About This Role

Job Description The Information Systems & Security (ISS) Department, College of Information Technology (CIT) at the United Arab Emirates University is seeking a highly motivated and talented Postdoctoral Research Fellow to join our dynamic research team working on the Secure and Resilient Internet of Vehicles (SERE-IoV) project. This is an exceptional opportunity to contribute to cutting-edge research in vehicular cybersecurity, physical layer security, and artificial intelligence-driven threat detection. The successful candidate will work on developing innovative security frameworks for next-generation intelligent transportation systems (ITS). This project offers an exciting opportunity to work at the intersection of Cybersecurity, Communication Engineering, computer science, and AI. Responsibilities:

• Conduct advanced research on modeling, performance evaluation, and security analysis for V2X communication networks.
• Develop and implement advanced AI/ML/DL models for proactive threat detection and anomaly identification in V2X networks.
• Evaluate model performance, robustness, and computational efficiency for deployment on resource-constrained vehicular platforms.
• Develop hardware-based proof-of-concept implementations demonstrating the feasibility of proposed security frameworks.
• Publish high-quality peer-reviewed journal articles and Present research findings at international conferences and workshops.
• Participate in project meetings and progress reviews, and mentor junior researchers and students on project-related topics.

Minimum Qualification

• Ph.D. in Electrical Engineering, Electronics Engineering, Computer Science, Telecommunications, Cybersecurity, AI, or a closely related field.
• Strong academic record with evidence of research excellence.
• Background in AI, ML, or DL.

Preferred Qualification

• Strong background in Wireless communication, OWC, IoT, or vehicular networks.
• Strong background in AI, ML, or DL.
• Proficiency in relevant programming languages (e.g., Python, with experience in libraries like TensorFlow, PyTorch, scikit-learn).
• Excellent written and oral communication skills in English.

Close Date Kindly apply before the closing date.

31/07/2026

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