Research Assistant

Job summary

The main aim of this project is to build automated, computer vision and machine learning tools for machine understanding of human behaviour in naturalistic contexts. The envisioned technology will be based on findings in cognitive sciences and it will represent a set of visual spatiotemporal methods for automatic analysis of human spontaneous (as opposed to posed and exaggerated) patterns of behavioural cues such as facial gestures,...

Job listing information

  • Reference ENG00940
  • Date posted 5 August 2019
  • Closing date 20 August 2019

Job description

Job summary

The main aim of this project is to build automated, computer vision and machine learning tools for machine understanding of human behaviour in naturalistic contexts. The envisioned technology will be based on findings in cognitive sciences and it will represent a set of visual spatiotemporal methods for automatic analysis of human spontaneous (as opposed to posed and exaggerated) patterns of behavioural cues such as facial gestures, vocalisations such as laughter and consent, and head gestures.

Duties and responsibilities

Particular attention will be placed on data collection, annotation, curation and organisation for audio-visual human behaviour understanding. This includes the development of new approaches for adapting existing models trained on vast amount of data so they can be applied to audio-visual human behaviour data where small datasets are available.

Within the project, the Research Assistant will be responsible for the development of effective and efficient machine learning algorithms for computer-vision-based understanding of human behaviour that address challenges listed above. The applicant is expected to publish his/her works in top conferences (CVPR, ICCV, ECCV, ICML, and alike) and journal papers (TPAMI, IJCV, TAC, TIP, and other high-impact journals).

The project involves significant research and development challenges, and the end results will contribute to development of more natural human-computer and human-robot interfaces as well as to development of computer-based analysis of human spontaneous (typical or atypical) behaviour displayed in various contexts.

Essential requirements


  • A good first degree or Masters (or equivalent) in a related area , i.e., Computing, Physics or Engineering.

  • A strong background in maths, computing or engineering.

  • Proven knowledge and a track record in one or more of the following areas: machine learning, computer vision and statistical modelling

  • Advanced programming skills in deep learning frameworks (PyTorch, Tensorflow)

  • Advanced programming skills in Python

  • Experience of processing audio/visual data

  • Experience of deep learning and machine learning


 

Further information

In addition to completing the online application form please also attach:

  • A full CV
  • A 1-page statement indicating why your expertise is relevant.

Should you have any queries regarding the application process please contact j.perrins@imperial.ac.uk

For technical issues when applying online please email recruitment@imperial.ac.uk

Committed to equality and valuing diversity, we are an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research

Documents

About Imperial College London

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

Additional information

Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

All Imperial employees are expected to follow the 7 principles of Imperial Expectations: 

  • Champion a positive approach to change and opportunity
  • Communicate regularly and effectively within, and across, teams
  • Consider the thoughts and expectations of others
  • Deliver positive outcomes
  • Encourage inclusive participation and eliminate discrimination
  • Develop and grow skills and expertise
  • Work in a planned and managed way 

In addition to the above, employees are required to observe and comply with all College policies and regulations.

Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.