Machine Learning Research Engineer Embedded Wireless Systems
Posted on :
02-10-2025
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1 Vacancy
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Job Description
We are seeking a Machine Learning expert to join our wireless software group and explore innovative applications of ML algorithms in embedded wireless systems and protocols. This role focuses on cutting-edge research to integrate machine learning into wireless firmware architectures as well as protocol design validation and performance optimization. The position emphasizes experimental research algorithm development and proof-of-concept implementations in the wireless domain. This role offers the opportunity to develop novel solutions that bridge the gap between theoretical machine learning capabilities and practical wireless system implementations.
- Minimum: Masters degree (MSc) in one of the following fields: Computer Science or Mathematics with specialization in Machine Learning Signal Processing and Telecommunications Engineering
- Machine Learning: Deep understanding of ML algorithms particularly those suitable for real-time applications (online learning federated learning reinforcement learning neural networks)
- Wireless Communications: Strong foundation in wireless communication principles protocols
- Programming: Proficiency in Python MATLAB C/C and ML frameworks
- Optimization: Experience with convex optimization resource allocation algorithms and constraint satisfaction problems
- Real-time Systems: Understanding of real-time computing constraints and low-latency system design
- Research Experience: Demonstrated track record of independent research through publications patents or significant project contributions
- Knowledge of edge computing and distributed ML systems is advantageous
- Personal Attributes: Self-Motivated: Ability to work independently set research priorities and drive projects from conception to completion
- Analytical Thinking: Strong problem-solving skills with ability to tackle complex multi-disciplinary challenges
- Innovation-Oriented: Creative approach to research with ability to think outside conventional boundaries
- Communication Skills: Excellent written and verbal communication skills for technical documentation and presentations
- Collaborative Spirit: Ability to work effectively in cross-functional teams while maintaining independent research focus
- Ph.D. in related field
Employment Type
Full Time
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