University of Hertfordshire / Ziath Ltd
graduate job
Expires19 days

Embedded Image Processing System Engineer (KTP Associate)

Job description

The University of Hertfordshire wish to recruit a proactive, adaptable, highly skilled and qualified graduate to lead and deliver a project with Ziath Ltd, a technologically advanced instrumentation control and information management company. This project will develop and embed a capability in machine learning, image processing and system-on-chip, with support from academic and company supervisors. The Knowledge Transfer Partnership (KTP) includes a £5,000 training budget and 10% of your time dedicated to your personal development.

Main duties and responsibilities

  • Phase 1: company and product requirement review.
  • Phase 2: outline design for the new 2D scanning engine.
  • Phase 3: hardware and software framework development and evaluation.
  • Phase 4: Data Matrix code pre-processing and detection algorithm development, implementation and evaluation using ARM, DSP or FPGA.
  • Phase 5: Data Matrix code recognition and verification algorithm development, implementation and evaluation using ARM, DSP or FPGA.
  • Phase 6: implement functional prototype using system components from phase 3, 4 and 5, integrating algorithms, hardware, software and control interfaces.
  • Phase 7: portable prototype production; evaluate, debug and modify final prototype, release design for final production.
  • Phase 8: project embedding and documentation, product marketing and commercial.


The University offers a range of benefits including a pension scheme, professional development, family friendly policies, a fee waiver of 50% for all children of staff under the age of 25 at the start of the course, discounted memberships at the Hertfordshire Sports Village and generous annual leave.

About KTP

As a KTP Associate you will work with the company to embed new know-how through this innovation project using research and academic support from the University knowledge base. Apply your degree through real work and springboard your career. This position forms part of the Knowledge Transfer Partnership (KTP) funded by Innovate UK. Knowledge Transfer Partnerships is a partly government-funded programme to encourage collaboration between businesses and universities in the United Kingdom.

The KTP Associate will be employed by the University of Hertfordshire on a 30-month contract and will carry out duties at the University in Hatfield and the Company in Cambridge and at depending on which aspect of the project is being worked on at the time.

What we are looking for

Skills and experience needed
You will have experience in writing codes in a suitable programming language such as C, C++, Python, etc, and an understanding of image processing concepts. You will have experience with Linux operating systems, and experience in image processing.

You will be able to demonstrate technical skills and understanding in developing systems with ARM, FPGA or DSP hardware. An ability to interpret and clearly articulate technical and complex information is essential, as is the ability to develop long term relationships with stakeholders.

You will have good verbal and written English and an ability to communicate effectively with people from a range of backgrounds. You will be able to work well in a small team as well as independently with minimum supervision while meeting deadlines. You must be willing to learn quickly, take on responsibilities and resolve unexpected, challenging problems.

Experience of embedded image processing systems with FPGA or DSP hardware would be advantageous, as would experience of image processing with machine learning algorithms and experience of ARM. The ability to prepare and deliver technical presentations and reports, and a willingness to train others, would be desirable.


Good undergraduate degree in electronic engineering, computer science, or other related subject. It would be advantageous to have an MSc in mathematics, electronic engineering, computer science, or a PhD in a related subject.

Accepted degree subjects

  • mathematics
  • mechanical engineering
  • computer sciences
  • electronic and electrical engineering

Additional job details


Contract, dates and working times
Fixed term


How to apply

Informal contact details: Helen Podmore, tel: 01707 286406, email:

Interview Date: To be advised; interviews will be conducted remotely

Click Apply to start your application now. This job will be available on Prospects until 26 April 2020

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Closing date:  26 April 2020

Expires19 days

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