RES ASSOC I (TEMP)

About the role

Developing AI-based wireless communication systems: dataset generation, deep learning model development, and optimization for intelligent precoding in multi-user visible light communication (VLC). This position is temporary, with an initial 3-month employment period.

Responsibilities

• Develop and preprocess wireless communication dataset for multi-user VLC systems.
• Implement and train deep learning models for intelligent precoding and wireless resource optimization.
• Generate and analyze simulation data using wireless channel models and optimization-based solutions.
• Evaluate model performance under different user configurations, channel conditions, and power constraints.
• Conduct experiments, analyze results, and document findings to support research publications and ongoing project development.

Qualifications

• Strong programming skills in Python and experience with machine learning and deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of wireless communications, machine learning, and optimization techniques.
• Ability to analyze experimental results, troubleshoot models, and document technical findings.
• Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's degree preferred.