Research Scientist - Computer Vision and Machine Perception - KTP Associate

University of Portsmouth; England; On-site; GBP 30,000 - 45,000; Full time

Job summary

The University of Portsmouth seeks a Research Scientist for a Knowledge Transfer Partnership with ReThink Productivity. The role involves designing algorithms to analyze video footage for productivity insights in retail environments. This fixed-term position offers a unique opportunity to impact the retail sector positively through innovative AI solutions.

Benefits

£2,000 personal training budget per year

Opportunity to lead a strategic project

Potential for a permanent position

Support from an academic team

Qualifications

• Graduate in Computer Science or related field with experience in AI and video analysis.
• Strong knowledge of deep learning techniques.
• Ability to design and implement algorithms.

Responsibilities

• Design and develop algorithms for recognizing employee activity from video footage.
• Lead and manage the project in collaboration with ReThink and university staff.
• Produce scientific and technical publications.

Skills

Deep Learning

Algorithm Design

Video Analysis

Education

Graduate Degree in Computer Science or related field

Job description

Research Scientist - Computer Vision and Machine Perception - KTP Associate

Join to apply for the Research Scientist - Computer Vision and Machine Perception - KTP Associate role at University of Portsmouth

Research Scientist - Computer Vision and Machine Perception - KTP Associate

Join to apply for the Research Scientist - Computer Vision and Machine Perception - KTP Associate role at University of Portsmouth

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University of Portsmouth provided pay range

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Recruitment Manager | BA in HR Management

The University of Portsmouth is a global employer of choice where exceptional people create, share and apply knowledge that makes a difference.

Experience the pride of being part of a select group – one of only four universities in the south-east of England to achieve a prestigious Gold rating in the Teaching Excellence Framework. Additionally, we proudly rank among the top 140 universities globally in the Times Higher Young University World Rankings.

Ambition, Responsibility and Openness drive our every endeavour. Join our esteemed institution with a proven track record of success, and where dedication to excellence is key. We want people to make their mark in a professional community that truly values people, innovation, and achievement.

The role:

The Faculty of Technology at the University of Portsmouth, in collaboration with ReThink Productivity Consulting Ltd (ReThink) are seeking an innovative and motivated graduate to design and develop algorithms that can accurately recognise and classify employee activity and customer behaviour from video footage in order to improve productivity within retail environments.

The Company:

Established in 2011, ReThink is an industry leader, combining over 50 years of cumulative experience to help some of the largest brands boost productivity. ReThink provides business analytics, time and motion studies, working with some of the largest brands in the retail and hospitality sectors such as Vodafone, Boots, Siemens, Costa Coffee, Wickes, Pandora and many more. ReThink aims to improve productivity and efficiency for clients in the UK, Europe, Dubai, Hong Kong and the U.S.

The Project:

This is a Knowledge Transfer Partnership (KTP) between ReThink Productivity Ltd and the University of Portsmouth, co-funded by Innovate UK. This strategically important partnership addresses ReThink’s need to provide productivity insights to an ever growing number of retail environments. This AI driven platform will allow ReThink to capture footage from a wide variety of retail environments and automatically extract key productivity indicators through the use of deep learning and transfer learning algorithms. The project provides a distinct opportunity to make a significant positive impact on the retail environment.

You will lead, facilitate and manage the project. You will work with both ReThink staff and the University of Portsmouth academic team to utilise video capture, embedded systems and deep learning algorithms to analyse retail environments of varying complexity. The post holder will produce scientific and technical publications as well as embed these new systems, knowledge and processes within ReThink’s business.

This is a fixed term appointment for 30 months.

Knowledge Transfer Partnership (KTP)

KTP brings together universities and businesses to work together on a development project that is strategically important to the future of an organisation. KTP offers:

• Acceleration for your career
• Access to £2,000 personal training budget per year
• The opportunity to lead and manage a strategic project
• The possibility of a permanent post with the company
• The support of an academic team from the University
• The opportunity to enhance training and learning

For an informal discussion prior to application, please contact Dr Hongjie Ma (email: [e-mail]) or Dr Edward Smart (email: [e-mail]).

Interviews are anticipated to be held week 9 June 2025.

UKVI STATEMENT:

Prior to submitting your application, kindly ensure that you can either demonstrate or acquire the necessary right to work in the UK. If you currently do not possess the right to work in the UK, please be aware that our offer of employment is conditional upon you obtaining it.

ED&I STATEMENT:

We are strongly dedicated to embedding equality, diversity and inclusion (EDI) within our community. As an Athena SWAN and Race Equality Charter award holder, a member of Stonewall and a Disability Confident Employer we are passionate about creating a welcoming and inclusive environment, regardless of your background. We welcome applications from all talented people. In addition, we want our workforce to be representative of our diverse student population. Please see our EDI Framework and objectives.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research

• Industries

  Higher Education

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