|Salary:||£50,317.00 per annum (pro rata)|
|Placed On:||23rd November 2021|
|Closes:||27th March 2022|
(Fixed-Term, 3 Positions Available)
Salary £50,317.00 per annum (pro rata)
Key words: Machine Learning, Artificial Intelligence, GAN, Rendering, Hair Modelling, Facial Modelling
Bournemouth University’s vision is worldwide recognition as a leading university for inspiring learning, advancing knowledge and enriching society through the fusion of education, research and practice. Our highly skilled and creative workforce is comprised of individuals drawn from a broad cross section of the globe, who reflect a variety of backgrounds, talents, perspectives and experiences that help to build our global learning community.
The jobs are available to all nationalities. The postdoctoral 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.
This is an excellent opportunity for those with research and/or development experience in machine learning and artificial intelligence (such as using GAN, implementing image processing solutions, developing computer vision algorithms), with the prospect of further career development.
The fellow will be an employee at Bournemouth University, and embark on a two-year programme with one of the industrial partners:
To be eligible to apply an applicant must meet the requirements outlined and:
Please REGISTER YOUR INTEREST here to receive dedicated support during application.
Please see the BU‑CfACTs webpage for guidance for applicants: www.bournemouth.ac.uk/cfacts-research
Available Research Themes to Choose (details at www.bournemouth.ac.uk/cfacts-research ):
Theme 1 (Framestore): apply machine learning for
Skills: machine learning; GAN; rendering algorithms.
Experience: computer vision, computer generated graphics, or photorealistic rendering (e.g. fur/hair).
Theme 2(Framestore): learned resolution for
Skills: machine learning; GAN; image upsampling.
Experience: computer vision, photorealistic rendering, or image processing.
Theme 3(Humain): automatic facial modelling/rigging
Skills: related deep learning algorithms;
Experience: facial recognition, facial landmark tracking, or image/video processing;
Applicants must submit the following for independent evaluation:
The documents must use templates available at: www.bournemouth.ac.uk/cfacts-research
This position is available on a fixed-term basis for 24 months.
For additional information please contact Prof Jian Chang, via CfACTsemail@example.com.
A detailed job description and person specification are available from our website together with an online application form. Alternatively please email the HR Services Team at firstname.lastname@example.org quoting the appropriate reference (FMC257).
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.
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