Possible directions include:

➔ Wireless Communications & Digital Signal Processing

• Ultra-massive MIMO
• Hybrid beamforming
• PAPR reduction
• Compressed sensing
• Upper mmWave and THz technology
• Recourse management
• New waveforms
• Channel estimation
• AI in communications
• Software Defined Radio (SDR)-based implementation

➔ Information Theory

• Fundamental limits
• Image/Video compression
• Information theory for deep learning
• Deep InfoMax

➔ Distributed computing and blockchain

• Federated learning
• Coded distributed computing
• Blockchain fundamentals
• Web3 data analysis

➔ Error Correcting Coding

• Machine learning-based decoding
• Optimization-based decoding
• Sparse-regression codes
• Coding for communications and storage

➔ Security and Privacy

• Private information retrieval
• Differential privacy
• Post-quantum cryptography
• Steganography

The start date of the internship: July 1, 2025

Internship duration: 1 month

Candidates requirements:
➔ Be in the process of obtaining a bachelor's degree in electrical engineering, computer science, or a related technical field
➔ Have a minimum GPA of 4.0 on a 5.0 scale
➔ Have an interest in signals and systems or wireless communications concepts
➔ Knowledge of Python, C/C++ programming languages
➔ Knowledge of mathematics (calculus, probability, linear algebra)
➔ Knowledge of machine learning (ML), including frameworks such as PyTorch and TensorFlow [optional]

Contact email: T.Algunova@skoltech.ru