Research Scientist - Brain-Inspired AI Systems (Contractor)

Huawei R&D UK
London
1 day ago
Create job alert

About Huawei Research and Development UK Limited

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world.

Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether theyre at home, in the office, or on the go.

This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.

For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that dont align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.

This strategic focus is a reflection of our core values:

  • staying customer-centric,
  • inspiring dedication,
  • persevering,
  • growing by reflection

Huawei Research and Development UK Limited Overview

Huaweis vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward.

Job Summary

We are seeking two exceptional Research Scientists to join our innovative project on advancing large language model (LLM) capabilities through brain-inspired approaches. This role will focus on developing novel multi-modal AI architectures that leverage recent insights from neuroscience, specifically working on next-generation memory systems for transformers. The successful candidates will contribute to groundbreaking research in memory compression, hierarchical retrieval, and efficient information processing for next-generation agenting LLMs.

Key Responsibilities:

  • 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 Huaweis 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.

Person Specification:

  1. Required:
    • 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.
  2. Desired:
    • 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.

Department:Reinforcement Learning

Role:Research Scientist

Locations:Huawei London Research Center

J-18808-Ljbffr

Related Jobs

View all jobs

Research Scientist (Chemistry) - AI Trainer

Research Scientist (Biology) - AI Trainer

Research Scientist (Biology) - AI Trainer

Research Scientist (Biology) - AI Trainer

Research Scientist (Chemistry) - AI Trainer

Research Scientist (Chemistry) - AI Trainer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Best Biotech Books for UK Job Seekers: Boost Your Biotechnology Career in 2025

The biotechnology industry is booming, fuelled by advancements in genomics, synthetic biology, regenerative medicine, and countless other cutting-edge fields. With the UK emerging as a major global biotech hub—spanning sectors like healthcare, agriculture, and environmental science—there has never been a better time to develop the skills and knowledge necessary to thrive in this dynamic sector. Whether you’re a recent graduate or a seasoned scientist, staying updated with the right resources can dramatically enhance your career prospects. In this blog post, we present ten must-read books that offer deep insights into the foundational concepts, practical techniques, and forward-thinking innovations shaping biotechnology today. By reading and internalising the wisdom of these texts, you’ll be better equipped to navigate job interviews, tackle complex projects, and excel in roles throughout the biotech landscape.

Navigating Biotech Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

In today’s fast-paced biotechnology industry, competition for the best roles can be fierce. Whether you’re a recent graduate in life sciences, an experienced research scientist aiming to transition into a more commercial role, or a skilled technician seeking a new challenge, biotech career fairs are an invaluable opportunity to meet prospective employers face-to-face. A successful experience at these events often comes down to preparing effectively, asking the right questions, and following up in a professional, memorable manner. In this comprehensive guide, we’ll explore how you can prepare your personal pitch, the kinds of questions that will make a lasting impression, key examples of biotech career fairs in the UK, and the follow-up strategies that will help you stand out in a crowded field. If you’re looking for the perfect chance to network with potential employers in the UK biotech sector, read on to learn how to make the most of these career fairs.

Common Pitfalls Biotech Job Seekers Face and How to Avoid Them

The biotechnology sector is one of the fastest-growing industries in the UK, offering an array of exciting career opportunities for scientists, engineers, research associates, and business professionals alike. From cutting-edge gene editing and cell therapy to industrial bioprocessing and bioinformatics, biotechnology companies are pushing the boundaries of science to transform healthcare, agriculture, and sustainability. Yet, as more professionals enter the field, securing a great biotech role has become more competitive. Despite possessing strong qualifications and relevant scientific expertise, many biotech candidates inadvertently make avoidable mistakes during their job hunt, in their CVs, in interviews, and in their overall approach to professional development. These pitfalls can cost you that coveted role—whether it’s in a cutting-edge start-up or a well-established pharmaceutical multinational. In this article, we’ll explore the common challenges biotechnology job seekers face, along with proven strategies to overcome them. By following these guidelines, you can craft a compelling application, excel in interviews, and stand out in a thriving but crowded job market.