Machine Learning Researcher
2 months ago
Project Overview
We are seeking a highly motivated researcher to investigate the feasibility and performance of federated learning approaches in edge networks. This project aims to develop distributed machine learning models trained across multiple edge devices while preserving data privacy and minimizing communication overhead.
Research Questions
- Are there existing tools/models that can be utilized for this purpose?
- What are the resource implications of the different approaches?
- What are the privacy implications of the different approaches?
- Can we identify unusual network activities?
Responsibilities
The successful candidate will be responsible for designing, implementing, and evaluating federated learning approaches in edge networks. This includes collecting and analyzing data, developing machine learning models, and evaluating their performance.
Requirements
- Master's degree in Computer Science, Artificial Intelligence, or a related field
- Strong background in machine learning and distributed systems
- Excellent programming skills in languages such as Python or Java
- Experience with edge computing and federated learning
What We Offer
We offer a dynamic and collaborative work environment, competitive salary and benefits, and the opportunity to work on cutting-edge research projects. If you are passionate about machine learning and distributed systems, and want to contribute to the development of innovative edge network intelligence solutions, we encourage you to apply.
Contact Information
For any questions regarding this position, please contact us at [removed for validation purposes].
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