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KTP Associate – Autonomous Control System (Smart Sweeping) (based in Dorking, Surrey RH4 1HF)

Engineering Department

Location:  Newport, Shropshire TF10 8NB
Salary:  £35,845 to £44,045 per annum
Entry level will be dependent on relevant skills and qualifications
Post Type:  Full Time
Contract Type: Fixed Term - Up to 30 months
Closing Date:  23.59 hours BST on Thursday 22 October 2020
Reference:  PC-01A

This role will be involved in the development of an autonomous control system for Butcher Municipal street cleansing vehicles to improve road & public safety whilst optimising efficiency including;

  • Supported by the Innovation & Simulation Manager & Systems Engineering Manager, this role involves development and the implementation of system, which can automate the sweeping functions of a truck mounted sweeper from the Bucher Municipal range of road sweeping machines.   Specifically the aspect of AI / Deep learning around image processing and recognition to be able to automate vehicle functions to optimise the sweeping systems.
  • This role has responsibility of software design for the automation of functions, liaising with the systems engineering team to develop communication over a company specific CAN Open implementation to a new schema of messages.
  • The associate will need to ensure that any control software is fully tested and approved, meeting relevant standards using a defined release process, and that software release schedules are clearly defined internally and externally to Engineering.
  • The role also involves collaborating with the Mechatronic Engineers to develop control software and system models of the machine.
  • The associate would work along with the academic in developing simulation and AI systems.

Qualifications, skills and experience required:

  • An undergraduate degree at 2.1 or above in Software Architecture/Engineering or similar, ideally with a Masters in a relevant similar discipline 
  • A knowledge of engineering-electronics, computer engineering and a basic knowledge of microcontroller application. Be able to demonstrate an excellent knowledge of modelling systems using tools such as MATLAB & different toolboxes, e.g. deep learning,  Simulink, etc.
  • Be proficient in the use of editors such as Jupyter notebook, Google Co-lab, Spyder, 
  • Have a working knowledge of Linux,
  • Aware of the different types of frameworks for Computer vision and Deep learning, such as OpenCV, (YoLo), Tensorflow, Keras etc. 
  • Ability to demonstrate an understanding of CAN-based control systems and software, including sensors. 
  • A willingness to learn AI techniques, from the lengthy aspect of teaching, to the application and assessment of different approaches. 

If you have any queries or questions or for an informal discussion please contact: Academic KTP Supervisor, Mr. Sam Wane: swane@harper-adams.ac.uk   

Application Procedure:

All applications should be completed and submitted using the Harper Adams e-Recruitment programme at http://jobs.harper-adams.ac.uk to be completed no later than midnight on 11th October 2020.

This post is unlikely to meet the relevant criteria to allow the University to issue a Certificate of Sponsorship.  Applications from candidates who require a Certificate of Sponsorship to work in the UK will be considered against the requirements stated in the recruitment documentation. Recruitment decisions will be made in accordance with the UK Visas and Immigration

Further details:    Job description    
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Harper Adams University is one of the premier UK Higher Education Institutions focused on the land-based and food supply chain sector.

With 2800 undergraduate students, plus those completing postgraduate, research and CPD programmes, Harper Adams is the UK's largest single provider of higher education for these subjects.  Programmes fall into eleven broad subject areas – but none operate in isolation. Community and collaboration are key at Harper Adams, meaning everyone, including staff, students and industry partners, benefits from a close network of knowledge and opportunity exchange

Situated in Shropshire, the campus and the surrounding area provide an excellent working and living environment for staff and students alike.

Harper Adams is consistently positioned highly in a range of national ratings, performance measures and league tables. Its current graduate employment rate is 98% (the joint top rating in England) and student satisfaction stands at 93% (National Student Survey 2017).

Harper Adams is ranked as the UK’s Best Modern University by the Times and Sunday Times Good University Guide 2018; was named University of the Year in the 2016 and 2017 Whatuni Student Choice Awards and holds a Gold (highest level) award from the Government’s Teaching Excellence Framework.

In 2018 Harper Adams University will receive the Queen’s Anniversary Prize for Further and Higher Education, part of the UK honours system.

Applied research is at the heart of the university’s activity, with the work of a thriving academic community underpinning both teaching and work with the industries allied to Harper. The 2014 Government Research Excellence Framework rated all of the university’s research as “of international quality”, and more than half was deemed “world leading” or “internationally excellent”. 


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