Bayes Centre Huawei Fellow - #1711735
University of Edinburgh
Grade UE08: £49,559 - 60,907 per annum, pro-rata if part-time
College of Science and Engineering/The Bayes Centre
Full-time: 35 hours per week
Fixed-term contract: for 12 months
We are seeking a Bayes Centre Huawei Fellow to work on an exciting project in the field of edge LLM systems. The project consists of three work packages: (1) evaluating LLMs on edge devices by analyzing accuracy, latency, and energy efficiency, (2) developing novel sparsity and low-rank methods, including KV cache compression and sparse MLP activations, and (3) releasing the work as open-source and publishing findings. The goal is to make LLMs more accessible and efficient for edge applications
The Opportunity
This post is full-time (35 hours per week), fixed-term for one year. We are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
Your skills and attributes for success
- A PhD or in final stage (awaiting viva or completing corrections) in computer science or a related discipline, with excellent technical expertise and experience in the areas of Data Science and Informatics as defined by the Bayes Centre and Huawei.
- Strong background and expertise in LLMs, edge systems, deep learning algorithms and computer systems.
- Experience and evidence of effective independent research work within an interdisciplinary team. More broadly, demonstrated ability to lead, design and complete research projects, to solve problems independently and make original contributions to research.
- Excellence in written and oral communication, analytical, planning, and time management skills.
Click to view a copy of the full job description (opens new browser tab)
As a valued member of our team you can expect:
- A competitive salary of £49,559 - 60,907 per annum, pro-rata if part-time.
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community.
- Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits.
Championing equality, diversity and inclusion
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab).
On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will therefore only be able to take up this role if they can demonstrate an alternative right to work in the UK.
Key dates to note
Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
Please submit both a cover letter and CV.
Feedback will only be given to interviewed candidates.
About the Team
The Bayes Centre is the Universityʼs innovation hub for Data Science and Artificial Intelligence. The technical strengths brought together in Bayes build on world-leading academic excellence in the mathematical, computational, engineering, and natural sciences in the Universityʼs College of Science and Engineering.
The Bayes Centre offers a new kind of collaborative, multidisciplinary proving ground where we develop innovative technological solutions for the benefit of society. We have a community of over four hundred internationally recognised scientists, outstanding PhD students, leading industry experts and innovation support professionals, working together across disciplines and sectors to advance data technology and apply it to real-world problems.
Data science education, tech entrepreneurship, and industrially driven, multidisciplinary research and design are the core pillars of our strategy to boost the Universityʼs impact across the city, region, nationally, and internationally through new activity that complements the existing strengths of our community. To find out more visit https://bayes-centre.ed.ac.uk/
The Bayes Centre is part of the Data-Driven Innovation (DDI) Programme within the Edinburgh and South East Scotland City Region Deal. It collaborates closely with other DDI hubs, the Edinburgh Futures Institute, the Usher Institute, the National Robotarium, and Easter Bush.
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