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At European Recruitment, our sectors cover a wide range of industries within the field of technology
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range of industries within the field of technology
At European Recruitment, our sectors cover a wide
range of industries within the field of technology
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Researcher / Senior Researcher- Machine Learning for Networking Systems
Key Responsibilities
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Lead pioneering research into the application of machine learning to enhance networking systems and protocols among computing devices (e.g., CPU, GPU), memory, and peripherals.
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Design, develop, and assess machine learning algorithms to manage system resources and optimise network performance, latency, and power consumption.
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Innovate and create new technologies in the realm of machine learning for networking systems.
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Publish and present research findings at renowned conferences and author white papers on current advancements and future research directions.
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Forge and maintain collaborative research partnerships with leading universities and academic experts in networking systems, computer architecture, and high-performance computing.
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Mentor and support junior researchers and interns.
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Essential Qualifications
- PhD or MSc in Computer Science, Electrical Engineering, or a related field.
- Specialisation in Machine Learning with a strong background in Computer Architecture.
- Demonstrated success in publishing research in prestigious conferences or high-impact journals, particularly at the intersection of machine learning and networking systems, high-performance computing, or computer architecture.
- Proficiency in programming languages such as Python, and frameworks like TensorFlow and PyTorch.
- Research experience or solid knowledge in several of the following areas:
- Machine learning models for workload characterisation
- Distributed machine learning, deep neural networks (DNN), and large language models (LLM)
- Memory subsystem design
- Network architecture and systems within datacentre environments
- High-performance computing system architecture
- Excellent skills in intercultural communication, coordination, presentation, and reporting, with a proven ability to excel in a research environment.
- Strong interpersonal abilities, with a collaborative approach and the capacity to work independently.
- Creative mindset with the ability to think innovatively to develop cutting-edge solutions.
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