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.

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).

You should have a PhD in computer science or relevant area*Highly motivated and independent researcher interested in advancing the field of audio-visual self-supervised learningStrong track record of publishing in top conferencesStrong experience on audio-visual speech processingAbility to drive research independently and submitting the outcomes to top conferences/journalsExcellent communication skills.Ability to organise your own work with minimal supervision and prioritise work to meet deadlines.

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.

Opportunity to work on state-of-the-art machine learning approaches and cutting edge research.Opportunity for research collaboration with other researchers within the group and industry.Stimulating research environment.The opportunity to continue your career at a world-leading institutionSector-leading salary and remuneration package (including 38 days off a year)