CfACTs Postdoctoral Research Fellow – Machine Learning and Artificial Intelligence for Computer Generated Images (Fixed-Term, 3 Positions Available), Opportunity at Bournemouth University , UK.

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  • Post Date: December 16, 2021
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Job Overview

CfACTs Postdoctoral Research Fellow – Machine Learning and Artificial Intelligence for Computer Generated Images (Fixed-Term, 3 Positions Available)

Examining Cade Metz's “Genius Makers”

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.

Key words: Machine Learning, Artificial Intelligence, GAN, Rendering, Hair Modelling, Facial Modelling

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.   This post will offer necessary training and career development opportunity for conducting multi-disciplinary research in one chosen research theme and widen future career choices.

The fellow will be an employee at the National Centre for Computer Animation (Bournemouth University), a world leading research centre on computer animation, and embark on a two-year programme with one of the industrial partners:

  • Framestore, a globally known VFX-company, who has a proud history creating extraordinary images and scenes for some of Hollywood’s biggest pictures;
  • Humain, who create realistic digital humans for world leading AAA video game developers such as Microsoft and Activision (Call of Duty).

Details of available research themes are listed below. The fellow will implement and deliver the research outcomes by working closely with academic and industrial supervisors.

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.

Please REGISTER YOUR INTEREST by filling out the online form as early as possible to receive dedicated support for potential applicants.

Please see the BU‑CfACTs webpage for guidance for

Available Research Themes to Choose (details at ) – see attachment

As a part of the application process all applicants must submit the following for independent evaluation:

  • Research Proposal (max.10 pages)
  • CV (max.5 pages)

The documents must use templates available at:

This position is available on a fixed-term basis for 24 months.

For additional information please contact Prof Jian Chang, CfACTs Project Coordinator, via quoting FMC257 in the subject line.

Please confirm which of the three positions you are interested in when applying, quoting the job reference and full job title on the application form. 

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.




Job Detail
  • Offered SalaryNot Specified
  • Career LevelNot Specified
  • ExperienceNot Specified
  • GenderBoth
  • INDUSTRYEducation
  • QualificationDoctorate Degree (Ph.D.)
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