Robust Wireless Sensing Internship with Transfer Learning

Epizeuxis; Kevin (MT); On-site; USD 33,480 - 44,640; Part time

Job summary

Epizeuxis is offering an internship focused on wireless sensing to improve generalization of sensing systems across variable environments. You will leverage public datasets to train models and evaluate on real hardware, exploring transfer learning and multi-task learning techniques.

The role emphasizes eagerness to learn and collaboration with the team. Strong ML/DL background and solid programming in C++, Python, or Java are required.

Qualifications

• Hands-on experience with ML/DL
• Solid programming skills in C++/Python/Java
• Knowledge of network protocols functioning is a plus

Responsibilities

• Develop a novel approach to improve generalization of wireless sensing systems across environments.
• Train models using publicly available datasets and evaluate on real hardware.
• Explore Transfer Learning and Multi-task Learning to handle environment diversity.
• Produce results and documentation; contribute to potential PhD thesis considerations.

Skills

Machine Learning

Deep Learning

Multi-task Learning

Transfer Learning

Programming (C++, Python, Java)

Network Protocols

Education

Pursuing PhD in relevant field

Tools

Python

C++

TensorFlow

PyTorch

Job description

Epizeuxis is offering an internship focused on wireless sensing to improve generalization of sensing systems across variable environments. You will leverage public datasets to train models and evaluate on real hardware, exploring transfer learning and multi-task learning techniques.

The role emphasizes eagerness to learn and collaboration with the team. Strong ML/DL background and solid programming in C++, Python, or Java are required.