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Embedded Deep Learning KTP Associate job with UNIVERSITY OF ESSEX | 300727 – Times Higher Education

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Embedded Deep Learning KTP Associate 
REF: REQ06199 

Application closing date: 08/08/2022 
Salary£31,800 – £51,000 per annum 
Employment type: Fixed-term, Full-time 
School of Computer Science and Electronic Engineering
Knowledge Transfer Partnerships (KTPs) are government-funded collaborations between universities and businesses. In KTPs, academics and company representatives jointly supervise a KTP Associate who is based in the company, with the goal of improving their competitiveness and productivity. KTPs serve to make better use of the knowledge, technology and skills generated by universities, colleges and research organisations.
Further information is available at: www.ktponline.org.uk 
The University of Essex in partnership with RoboK Limited offers an exciting opportunity to work in a project that aims to bring robust AI to the edge by optimising deep learning-based 3D perception models for a low-power computing platform.
This post is fixed term for 23 months and is based at RoboK’s offices in Cambridge.
The duties of the post will include:
The post holder must have:
A full list of requirements can be found within the jobpack attached.
Barclays Eagle Labs,
28 Chesterton Rd,

Previous applicants need not apply.
At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths and backgrounds, where you can find the world in one place.
To support this commitment we have our Global Forum, a staff-led network that promotes and celebrates the rich cultural diversity among Essex staff, and our Colchester campus based Faith Centre, which hosts regular services, meetings and events organised by our chaplains and faith representatives.
Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application.  Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please contact resourcing@essex.ac.uk 
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