Location: | London |
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Salary: | £48,056 to £56,345 per annum* |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 2nd December 2024 |
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Closes: | 11th December 2024 |
Job Ref: | ENG03343 |
Location: South Kensington Campus
About the role:
This is a Research associate position at the iBUG group at Imperial College London. The successful candidate will have the opportunity to work on cutting-edge research and publish in top conferences/journals in collaboration with academic and industry researchers.
The main aim of this project is to build audio and visual models which learn audio and visual speech representations from large amounts of unlabelled data. The envisioned technology will be based on findings in cognitive sciences and neuroscience and it will represent a set of methods for learning audio-visual speech representations using the latest state-of-the-art machine learning methodologies. Particular attention will be placed on the design and development of machine learning algorithms for parameter efficient transfer learning and sparse mixture of experts.
What you would be doing:
Within the project, you will be responsible for the development of machine learning algorithms for learning audio-visual speech representations. Particular focus will be placed on the design and development of machine learning algorithms for parameter efficient transfer learning and sparse mixture of experts. The applicant is expected to publish his/her works in top conferences (CVPR, ICCV, ECCV, ICML, ICLR and alike) and journal papers (TPAMI, IJCV, TMM, and other high-impact journals).
What we are looking for:
See job description for full list of requirements.
*Candidates who not yet been officially awarded their PhD will be hired at Research Assistant level: salary scale £43,003 - £46,297 per annum.
What we can offer you:
Further Information
Full time, fixed term contract, expected start date is January 2025 until July 2026
To apply visit: https://www.imperial.ac.uk/jobs/ and search using vacancy reference number ENG03343, in addition to completing the online application candidates should attach:
For informal enquiries about the position please email:
Dr Stavros Petridis: stavros.petridis04@imperial.ac.uk
For queries regarding the application process contact:
Jamie Perrins: j.perrins@imperial.ac.uk
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