Research Fellow in Program Optimization for Large Models

Do you have in-depth technical knowledge of program optimization and distributed systems? Are you interested in working with industry to develop methods to better accelerate LLM workloads in a large environment? Would you like to participate in an LLM-related competition? 

In order to reduce the burden for developing LLM-based applications, a novel system is being developed and implemented in this project. This study expands upon a doctoral study conducted at the University of Leeds, which was successfully validated. In an industrial setting, we developed prototypes and methods to identify bottlenecks in the cloud-based environment and to understand the relationship between resources and workloads of LLMs. In light of heterogeneity and cost effectiveness, the proposed solution suppresses current methods.

The purpose of this study is to leverage current libraries and tools to gain a better understanding of the behaviour of the latest LLMs and the requirements of upcoming LLM-based applications. The aims of the project are to develop a lean system with a user-friendly interface that is specifically aimed at algorithm experts. The project will involve the program optimization techniques, for single machine to distributed environment, from heterogeneous memory as well as computing units. 

We are open to discussing flexible working arrangements.

To explore the post further or for any queries you may have, please contact: 

Prof. Jie Xu, Professor in School of Computing (tel: +44 (0)113 343 5193 or email: J.Xu@leeds.ac.uk) 

What we offer in return:

• 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
• Generous pension scheme plus life assurance– the University contributes 14.5% of salary. 
• Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
• Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
• Access to on-site childcare, shopping discounts and travel schemes are also available. And much more!  

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit: https://www.gov.uk/global-talent.

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