|Salary:||£50,317 per annum (pro rata)|
|Placed On:||14th June 2021|
|Closes:||22nd August 2021|
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: www.bournemouth.ac.uk/cfacts-research
To be eligible to apply an applicant must meet the requirements outlined and:
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:
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 CfACTsemail@example.com 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 firstname.lastname@example.org 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
Type / Role: