Learning Environment Software Engineer - KTP Associate

Closing Date
WorkplaceYork, Yorkshire, UK
3832 3778


Electronic Engineering

Based at

AEMT Euros Head Office York

Hours of work


Contract status

Fixed term


£37,467 - £42,149 per year (Plus £2,000 p/a personal training budget)

Posted Date


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Job Reference



  • 10,083 - Job Description & Person Specification .pdf
    (PDF , 735.43kb)

Role Description


The Department of Electronic Engineering at the University of York has an international reputation for excellence in research and teaching. In line with the Department’s long-term plans for knowledge exchange and engagement with industry, we seek to appoint a KTP Associate to join the Knowledge Transfer Partnership (KTP) project with The Association of Electrical and Mechanical Trades (the AEMT). As a Department, we strive to provide a working environment which allows all staff and students to contribute fully, to flourish, and to excel. We are proud of our Athena SWAN Bronze Award.

The KTP Associate will lead a project to convert a hands-on, practical course in hazardous area equipment repair into an online virtual learning system-based course, which uses virtual twins of real world equipment for training and assessment. You will be expected to re-design modules through an appropriate LMS to produce content that is challenging and pedagogically innovative. The successful applicant will be employed by the University of York and be based at the AEMT’s head-office in York. You will work closely with key personnel at the AEMT as well as receiving support and guidance from academics from the Department of Electronic Engineering. The KTP Associate will work full-time for a fixed term of 24 months.

Salary: £37,467 - £42,149 depending on experience, fixed for the project duration. Plus £2,000 per annum personal development budget.


  • Develop thorough understanding of offered modules at AEMT and review and identify the most appropriate virtual learning system by investigating customer needs.
  • Given the course requirements, develop digital twins of AEMT courses machinery to be used in the virtual learning system at virtual practical classes.
  • Organise and deliver training sessions for new and existing users of the system and design tools to facilitate feedback and compile data on course attendance, participation and outcomes.
  • Present technical information within their area of expertise at meetings, conferences etc. and take part in discussions to inform the KTP’s direction and delivery of outputs.
  • To manage the KTP budget provided and accurately document usage of the grant.
  • To actively demonstrate a commitment to professional development by continuing to advance knowledge, understanding and competencies.

Skills, Experience & Qualification needed

  • A MSc/MEng degree in Electronic Engineering or Computer Science is essential. Preferably you will have a PhD in a closely related area.
  • Extensive practical experience in IT, problem solving and analytical skills using a range of specialist software.
  • Experience with the Cloud-based programming, including Python, Swift, C# and JScript

Interview date: week commencing 31 January 2022

For informal enquiries: please contact Prof. Hamed Ahmadi at hamed.ahmadiyork.ac.uk or elec-deptmrgyork.ac.uk .

The University strives to be diverse and inclusive – a place where we can ALL be ourselves.

We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University.

We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork

Why York?

York is one of the most successful universities in the UK.

With world-class activity across the spectrum from the physical sciences, life sciences, and social sciences to the humanities, we have been recognised as one of the top 100 universities in the world, gaining outstanding results in official assessments of our research and teaching.

  • More about York
In your application, please refer to myScience.org and reference JobID 2195220.