|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 BU and embark on a two-year programme of world leading research with industrial partner Framestore, applying Machine Learning to Solve VFX Light Transport Situations.
High end visual effects production demands ever more convincing and complex imagery. This often includes difficult to solve light transport situations such as nested dielectric media, volumetric multiple scattering and complex lighting scenarios. Typical approaches such as forward path tracing struggle with many important transport types, and computation times for reaching acceptable levels of variance can be significant. Working within the in-house renderer Freak, the researcher will prototype methodologies that use machine learning to provide progressive, controllable and temporally coherent acceleration of light transport across production datasets. In order to be applicable to production rendering, important considerations include temporal coherency, scalability and user control. Key areas of interest include transport through highly scattering media, such as clouds and white fur, and efficient computation of specular-diffuse-specular paths.
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 Dr Richard Southern or Prof Jian Chang, CfACTs Project Coordinator, via CfACTsfirstname.lastname@example.org quoting FMC232 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 email@example.com quoting the appropriate reference (FMC232).
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: