The available position is for a Research Assistant to work on a research project entitled “Artificial Intelligence-Powered Solutions for Reliable 5G and Beyond Communication Networks with Massive IoT Applications in Smart Cities” funded by the Research and Innovation Authority (RIA) of the Sultanate of Oman under the Block Funding Program, Agreement No. MoHERI/BFP/ASU/2025 and project ID BFP/RGP/ICT/25/501. 

To assist the Principal Investigator (PI) of the project in achieving the following objectives: 
* To develop efficient AI-Based techniques for mobility robustness optimization techniques for 6G cellular networks in smart cities. 
* To design smart handover decision algorithm powered by AI and Big Data Analysis model to make efficient handover decision automatically.
* To develop dynamic load-balancing algorithm leveraging AI to efficiently distribute traffic and optimize resource utilization in heterogeneous networks.
* To design AI-powered solutions to optimize transmitted power for offering efficient cells’ coverage that lead to smooth connectivity during the movements of massive connected users and IoT devices.
* To integrate AI technology innovatively to improve the performance of handover, connectivity, network capacity, and traffic management techniques in ultra-dense networks.
 

The candidate must demonstrate strong research experience in wireless communications, AI applications, machine learning, or 5G/6G cellular networks. Strong publication record in indexed journals and conferences is highly preferred. Experience in mobility management, IoT systems, optimization algorithms, or intelligent communication systems will be a significant advantage.

The candidate must have the following skills and attributes: 

• * Excellent background in wireless and mobile communication systems.
• * Strong knowledge in AI, machine learning, and deep learning techniques.
• * Strong programming skills in MATLAB, Python, and simulation tools.
• * Experience in data analytics and optimization techniques.
• * Excellent analytical, problem-solving, and research skills.
• * Excellent academic writing and scientific publication skills.
• * Ability to work independently with minimal supervision.
• * Excellent communication, teamwork, and presentation skills.
• * Familiarity with 3GPP standards, IoT systems, and smart city applications is an advantage.
• * Experience in supervising students or junior researchers is preferred.
• * Self-motivation with minimal supervision.

PhD or MSc in Wireless Communication Engineering, Electrical Engineering, Computer Engineering, Artificial Intelligence, Data Science, or any closely related discipline.