About this role
Through the Knowledge Transfer Partnership (KTP) Programme, CASC in partnership with Queen’s University Belfast have an exciting and unique employment opportunity for an innovative and motivated Computer/Data Science or relevant Engineering (Mechatronics, Electronics) graduate to work on a project to drive digital transformation by unlocking critical operational data and enabling seamless integration of automation and intelligent systems, strengthening CASC’s position as a trusted manufacturing partner for global OEMs in renewable energy, automotive, agricultural and material handling sectors.
This role is company-based and will be delivered in collaboration with the Advanced Manufacturing Innovation Centre (AMIC) at Queen’s.
CASC are leading suppliers of access and safety products and services globally. With over 20 years’ experience CASC prides itself on being able to provide cost-effective solutions and deliver projects as a trusted partner for some of the world’s largest renewable and construction projects.
CASC are building a truly digital factory by investing in the world’s most advanced manufacturing technology and machinery. Our in-house engineering teams provide expertise across cutting, folding, fabrication, finishing and final delivery, ensuring a streamlined process that enhances quality, reduces lead times and keeps every project moving forward smoothly.
Information about the Company partner can be found at: https://www.casconline.com/
About the person:
The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria:
Hold or be about to obtain (by July 2026) at least a 2.1 Honours Degree (or equivalent) in Computer Science, Data Science, or a relevant Engineering subject such as Mechatronics, Electronics or a closely related discipline. (Where candidates hold an international degree, the equivalency of this to a UK degree classification (i.e. 1st class, 2.1, 2.2 etc.) must be evident). Hold a current, valid, UK driving licence and have access to own transport. This role requires frequent travel between multiple engineering plants within a single day and these locations are not easily or reliably accessible by public transport. Significant relevant experience in a manufacturing environment, in a related research field, or on a project focussed on digital transformation.* Relevant experience of data modelling, programming and data visualisation.* Relevant experience in planning, organising or contributing to projects (e.g. academic projects, group assignments, placements), with demonstrable knowledge of basic project management principles and/or tools.*
(*may be demonstrated through the completion of a module, student project or placement.)
Applicants must adequately evidence how they have gained relevant experience/knowledge/skills in detail, using examples and dates where appropriate to demonstrate that they meet these requirements. It is not sufficient to simply list duties/skills/modules/assignment titles as evidence.
Please note the above are not an exhaustive list. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website.
A KTP role is the perfect launchpad for your career providing the opportunity to apply your academic knowledge and skills to deliver a strategic innovation project within a company. One of the unique benefits to KTP is access to a substantial development budget and the support and guidance of Queen’s world-class academics and researchers. This role offers an excellent opportunity to work closely between academia and industry whilst developing your skills to run and manage projects.
Information about the KTP Programme can be found on our website.
Please apply via the ‘Apply’ button above.