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KTP Associate – Machine Learning Scientist: Deep learning-based gait analysis for domestic pets

Do you have a PhD or post-doctoral experience in physics, maths, machine learning, artificial intelligence, deep learning, computational cognitive sciences, statistics or similar? Are you proficient in scientific software libraries, with experience in the software development lifecycle? Are you interested in applying your academic achievements in industry?

We have an opportunity for you to ‘fast track’ your career in industry by leading a strategically important project to a successful conclusion. Through a Knowledge Transfer Partnership (KTP), you will be working in partnership with VET-AI Ltd. and the School of Computing at one of the UK’s leading research intensive universities. This will provide an excellent opportunity for you to utilise your academic achievements in an industry setting.

VET-AI is a fast-growing, R&D company deploying cutting-edge machine learning and AI approaches to veterinary (vet) care. During 2019, the company won a string of prizes including Tech Nation Rising Stars 2019 and featured in Gizmodo, Daily Mirror, The Times, and many others. VET- AI’s strategic vision is to revolutionise the provision and access of vet services through digitisation, to improve animal health and welfare globally, and positively impact the lives of vet professionals by enabling remote working. The aim of this project is to develop and deploy the latest machine learning models and AI-driven video analysis models to analyse raw videos of pets to provide a diagnostic output for gait abnormalities such as arthritis. You will be managing the development, implementation and embedding of this innovative gait analysis tool for the automatic detection and diagnosis of animal mobility-related conditions, using a smartphone app. You will be expected to work with veterinary professionals, including those based at the Royal Veterinary College (RVC).

You will be based at the company premises in Nexus, University of Leeds, West Yorkshire, but will be formally employed by the University of Leeds for the duration of the project, a fixed period of 30 months, spending time at the University. The School of Computing will provide academic and technical support to you throughout the project. 

Vet-AI has a liberal working culture and is focused on long-term goals, not day-to-day management. The company takes its employees’ wellbeing very seriously and even has a Chief Happiness Officer. You will have freedom to work in your own way, and you will only be measured by the project outcomes.

You will have access to a training and development package worth £5,000, to be spent according to your needs and the project’s requirements, enabling you to work effectively on the KTP, and to plan for your future career. Additionally, you will attend two weeks of residential KTP training to equip you with the skills and knowledge required to complete the project successfully, for which time is allocated and funding provided.

To explore the post further or for any queries you may have, please contact: 

Dr Derek Magee

Tel: +44 (0)113 343 6819, email: D.R.Magee@leeds.ac.uk

Or

Professor David Hogg

Tel: +44 (0)113 343 5765, email: D.C.Hogg@leeds.ac.uk

Or

Dr Trevor Hardcastle

Tel: 07706406701, email: th@vet-ai.com


Location:  University of Leeds Role - Working off campus
Faculty/Service:  Professional Services
School/Institute:  Research & Innovation Service
Section:  Knowledge Transfer Partnership (KTP)
Category:  Professional & Managerial
Grade:  Off grading structure
Salary:  £40,000 to £50,000 p.a.
plus training allowance of £5,000
Post Type:  Full Time
Contract Type:  Fixed Term (for 30 months due to external funding for a fixed period)
Release Date:  Thursday 19 December 2019
Closing Date:  Sunday 02 February 2020
Reference:  CSRIS1143
Downloads:  Candidate Brief  
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