Computer à Grande-Bretagne

• Design and implement novel memory algorithms for LLMs.
• Develop biologically-inspired approaches to improve AI system performance.
• Research efficient methods for information storage and retrieval in neural networks.
• Collaborate with world-leading academic experts in computational neuroscience and memory systems.
• Work closely with the engineering team to optimize implementations for practical deployment.
• Publish research findings in top-tier conferences and journals.
• Contribute to patent applications and technical documentation.
• Work closely with international teams across Huawei's research centers.

This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.

• PhD in Computer Science, Neuroscience, Mathematics, or related field (or equivalent industry experience).
• Strong programming skills in Python.
• Experience with deep learning frameworks (ideally PyTorch).
• Good understanding of transformer architectures and attention mechanisms.
• Background in machine learning or computational neuroscience.

• Good publication record in machine learning or computational neuroscience.
• Experience with LLMs.
• Experience with biological learning systems and memory models.
• Knowledge of Modern Hopfield Networks and associative memory systems.
• Background in variational inference and/or predictive coding.
• Understanding of hardware acceleration techniques.