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CfACTs Research Fellow (Humain Project) - Learning in 3D Facial Modelling & Animation

Bournemouth University - Centre for Applied Creative Technologies

Location: Bournemouth
Salary: £50,317 per annum (pro rata)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 14th June 2021
Closes: 22nd August 2021
Job Ref: FMC231

The research fellow will join the  Centre for Applied Creative Technologies (CfACTs), a Marie Skłodowska-Curie Actions (MSCA) COFUND research training centre that provides international mobility and cross-sectoral experience through a well-aligned research and training programme. 

The research fellow will be an employee of Bournemouth University and embark on a two-year programme of world leading research with industrial partner Humain, in the area of Deep Learning in 3D Facial Modelling and Animation. Creating a digital human is a highly technical and craft driven process that can take months to complete. This project aims to reduce the time-consuming manual work of face shape modelling and rigging by applying recent advances in machine learning to faithfully reconstruct textured 3D human faces from 2D imagery. 

Using a state-of-the-art methodology in machine learning and facial reconstruction the researcher will work collaboratively with Humain to develop a system to: automatically create believable personalized blendshapes from one single image or scanned mesh; generate personalized production-level facial skin textures from a video or image sequence using deep learning algorithms;  and automatically drive and animate a 3D target avatar by an actor’s 2D facial video. 

The researcher will benefit from computational power and access to large high-quality facial scanning databases of stabilised meshes and textures conformed to a consistent temporal mesh. 

Please see the BU‑CfACTs webpage for guidance for applicants:  

To be eligible to apply an applicant must meet the requirements outlined and: 

  • Be in possession of a doctorate or have at least four years full-time equivalent research experience.
  • Not have resided or carried out his/her main activity (work, studies, etc.) in the United Kingdom for more than 12 months in the three years immediately before the call deadline. 

An applicant will provide a research proposal to outline their research project and an academic CV.

As a part of the application all applicants are required to submit the following:

  • BU Application Form and the Equality Monitoring form
  • Research Proposal (max.10 pages)
  • CV (max.5 pages)
  • Ethics issues - Applicants must provide information on how they intend to address potential ethics issues, as required by the Horizon 2020 Guidance on Ethics Self-Assessment;
  • Signed support letters from the applicants PhD academic supervisors; (optional)
  • Criminal Record Declaration Form 

This position is available on a 2 year fixed-term basis. For additional information please contact the BU Academic Supervisor Prof Lihua You or Prof Jian Chang, CfACTs Project Coordinator, via quoting FMC231 in the subject line. 

A detailed job description and person specification are available from our website together with an online application form. Alternatively, please email quoting the appropriate reference (FMC231). 

BU values and is committed to an inclusive working environment. We seek a diverse community through attracting, developing and retaining staff from different backgrounds to contribute to inspirational learning, advancing knowledge and enriching society. To support and enable our staff to achieve a balance between work and their personal lives, we will also consider proposals for flexible working or job share arrangements.

Closing Date: (23:30 GMT) Sunday 22 August 2021

Interview Date: TBC October 2021

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