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R&D Software Developer (KTP Associate, Humain)

Computer Science

Location:  Other
Salary:  £36,000 per annum
Fixed Term
Post Type:  Full Time
Closing Date:  23.59 hours GMT on Wednesday 08 February 2023
Reference:  001523

This is an exciting opportunity for an ambitious and forward-thinking postgraduate to apply their knowledge of deep learning to digital human creation within the video game industry. Kick-start your career transferring and embedding knowledge into a world-leading organisation and become an authority in the area.

The role

The University of Surrey and HUMAIN are jointly recruiting a recent postgraduate to lead a 30-month Knowledge Transfer Partnership (KTP) project. The aim of this partnership is to use state-of-the-art machine learning methods, especially deep learning to reduce the cost, time, and effort of creating highly emotive and interactive digital humans. 

Why apply

This KTP can kick-start your career in industry and make you an authority in this area. Apply your academic knowledge and technical expertise in machine learning to reduce a labour-intensive process for the business. Supported by world-leading domain experts, you will have the opportunity to develop your knowledge of the existing cutting-edge technologies in 3D graphics, AI, and computer vision, making yourself a highly competitive candidate in the market. 

The Business Partner

HUMAIN create digital humans for world-leading AAA video game developers including multiple Xbox Game Studios, 343 Industries (Halo), Activision (Call of Duty), Obsidian (Outer Worlds), and Zenimax.  The company’s diverse team include world-renowned Facial Action Coding System expert, Dr Erika Rosenberg, and visual effects veteran Professor Greg Maguire (Avatar, Harry Potter, Star Wars).

Location

The successful candidate will be based at HUMAIN in Belfast, Northern Ireland. They will work directly with their University and Company supervisors but have the confidence to manage and take full ownership of this KTP project.  

Post-holder Requirements: -

Essential criteria:

  • Recent MSc (or PhD) in Computer Science with AI/Machine Learning/Computer Vision/Computer Graphics background
  • Experience of technical documentation, reporting and presentations
  • High competency level of spoken and written English (i.e. speaking, listening, reading, writing skills)

Desirable criteria:

  • Experience in 3D Geometry Processing
  • Advanced practical skills in Deep learning
  • Previous industrial work experience including placement and/or experience of project management

Attributes:

  • Strong interpersonal skills and ability to communicate and work with a diverse range of people
  • Ability to focus on the strategic issues without getting lost in the detail, and to express technical jargon in layman’s terms
  • Enthusiasm for the scientific process, embracing new ideas and concepts whilst bridging the gap between academia and industry, preserving the interests of both
  • Demonstrably pragmatic, efficient, creative, highly proactive and motivated to embed new knowledge into the company. 
  • A clear understanding of both the KTP Programme and this KTP Business Partner.

This position is offered on a 30-month, fixed-term contract. Receive business-based training and career development, including a diverse range of non-technical skills, such as project management and leadership. 

Benefits to expect from HUMAIN

  • 25 days leave per annum plus 8 NI public holidays
  • Potential to secure a permanent job at the end of the KTP

Benefits to expect from the University of Surrey 

  • Generous pension, cycle-to-work scheme, season ticket loans
  • Access to a wide range of courses under the Learning & Development programme; library access

Benefits to expect from the KTP Programme

  • Substantial training budget and time ringfenced for personal development; opportunity to gain professional qualifications or study for a higher degree, and an accelerated route to Chartered Engineer/Scientist status
  • Access to academic support and the University’s facilities to help deliver the KTP project

Informal enquiries can be made to Dan Bance, email: ilovektp@surrey.ac.uk. Please note that applications sent directly to this email address cannot be accepted.

We reserve the right to close this advertisement early if we receive a high volume of suitable applications. So please do not wait to apply.

Please be aware that, as part of the KTP Programme, your application will be viewed by members of the host organisation, the Business Partner. By submitting your application, you are giving consent to share your personal details with the company partner outlined above.


Further details:    Job Description    
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