Research Associate in Simulation and Exploration of Next-generation GenAI H

at  Imperial College London

South Kensington, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate21 Jan, 2025GBP 56345 Annual29 Oct, 2024N/AGood communication skillsNoNo
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Description:

AVAILABLE DOCUMENTS

Attached documents are available under links. Clicking a document link will initialize its download.

  • Download: Job Description Research Associate ENG03295.Pdf
  • Download: Employee Benefits Booklet.Pdf

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.

Responsibilities:

ABOUT THE ROLE

Applications are invited for a part time postdoctoral researcher to work on the simulation and exploration of next-generation GenAI hardware designs.
The UK’s Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the hardware costs associated with training AI models by more than 1000x. The objective of our project, funded within this programme, is to develop a scalable and modular simulation framework. This will require multiple levels of simulation focused at different system layers and levels of fidelity. A key goal is to allow novel hardware ideas to be easily incorporated and evaluated, i.e. to aid the development of next-generation hardware for GenAI.
The objective of our project, funded within this programme, is to develop a scalable and modular simulation framework. This will require multiple levels of simulation focused at different system layers and levels of fidelity. A key goal is to allow novel hardware ideas to be easily incorporated and evaluated, i.e. to aid the development of next-generation hardware for GenAI.
The work at Imperial will focus on the behaviour simulation of the accelerator hardware. To understand how significant change or alternations in the underlying hardware system might translate to the performance metrics impact (such as accuracy or perplexity) of the machine learning models.
The team at Imperial will consist of three investigators: Dr Aaron Zhao (PI and team lead), Prof. George Constantinides and Prof. Wayne Luk.
The team also includes Dr Mai Luo and Prof. Michael O’Boyle from the University of Edinburgh; and Prof. Robert Mullins, Prof. Timothy Jones and Dr Rika Antonova from Cambridge. Overall, there will be great opportunities for collaboration between more than a dozen PhD students and post-doctoral researchers working on this project at Imperial, University of Cambridge and University of Edinburgh.

WHAT YOU WOULD BE DOING

  • undertake research, e.g. by conducting experiments, interpreting results and generating original ideas based on outcomes;
  • write up research work for presentation, publication and in order to report to stakeholders, sponsors or members of the project team;
  • contribute to the construction of infrastructure and simulation software;


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

South Kensington, United Kingdom