Postdoctoral Fellow
Skills
About This Role
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.
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