|Salary:||£33,309 to £40,927 per annum, depending on relevant experience|
|Placed On:||22nd June 2022|
|Closes:||19th July 2022|
Job reference: SAE-019246
Location: Oxford Road, Manchester
Closing date: 19/07/2022
Salary: £33,309 to £40,927 per annum, depending on relevant experience
Employment type: Fixed Term
Faculty/Organisation: Science and Engineering
Division: Department of Electrical & Electronic Engineering
Hours per week: Full time
Contract Duration: From 1 September 2022 for 30 months
School / Directorate: School of Engineering
This is an exciting opportunity for an ambitious researcher or engineer with passion about environment and ability and confidence to manage a Knowledge Transfer Partnership (KTP) project with a highly innovative waste management company Kenny Waste Management (KWM) and The University of Manchester. The project provides an excellent opportunity to develop cutting edge image processing and recognition system and robotic pick-and-place system for a ground-breaking application in recycling industries that will have an unprecedented environmental impact and will dramatically improve the efficiency, safety, and quality of waste recycling operations. The technology will transform the way in which waste recycling plants process waste, recovering valuable materials, and reducing landfill delivering both economic and environmental benefits.
After a successful feasibility study on the project, The University of Manchester and KWM are looking to recruit a high calibre individual with a background in vision system or image recognition and/or robotic engineering as the KTP Associate to undertake this 30-month project which has an overall aim of developing an advanced vision guided robotic pick-and-place system for material recovery facilities, especially KWM recycling operations.
The position will provide the successful candidate with a unique opportunity to learn the state-of-the-art deep learning and image processing techniques and applying them to one of the most challenging image recognition problems and also to one of the challenges facing waste recycling and environmental industries. KWM provides a perfect platform for experimenting and trialling developed the cutting-edge technology.
Candidates will require a recently obtained minimum of a 2:1 degree (or equivalent) in computer science or robotics or electronic engineering. Master or PhD graduates are very welcome.
This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government flagship scheme intended to promote sustained and mutually beneficial relationships between universities and industry. There are professional development budget and opportunities as well as funded training courses on business, environment protection and project management.
The KTP associate will be an employee of the University of Manchester but will be primarily based at KWM, Manchester, with regular supervision meetings with the University supervisory team and industrial supervisors of KWM and will use the facilities and resources of both organisations.
Due to the nature of the funding, KTP Associates who have already completed a KTP are not eligible to apply.
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here
Blended working arrangements may be considered
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Prof. Hujun Yin
This vacancy will close for applications at midnight on the closing date.
Type / Role: