Product Development Engineer (KTP Associate)

College of Engineering, Mathematics & Physical Sciences

The above full-time post is available immediately, on a fixed term basis, for two years. The role will be physically based with Torin-Sifan Ltd in Swindon, with regular travel to the University in Exeter.

The post

An exciting opportunity has become available to work on a 24-month Knowledge Transfer Partnership (KTP) between the University of Exeter and Torin-Sifan Ltd. The KTP will focus on the use of Computational Fluid Dynamics (CFD), and related methods, to model and optimise the efficiency and acoustic noise characteristics of impellers and housings, used in Heating, Ventilation and Air Conditioning (HVAC) systems.

The successful candidate will be employed by the University of Exeter and will be based at Torin-Sifan’s premises in Swindon.

Company Information :

Torin-Sifan designs and manufactures highly efficient AC and EC motors, motorised impellers and fans for the residential and commercial HVAC manufacturing markets worldwide. More information about Torin-Sifan can be found at: www.torin-sifan.com .     

About you

You will have a strong first-class degree in a highly numeric or scientific-computing based subject (such as physics, engineering or mathematics) and computer programming skills; ideally with experience in C++, with the ability to modify open source code (such as OpenFOAM).  With a hands-on approach (i.e. a willingness to test practical systems) and strong interest in the application of modelling techniques to real world applications, you will also have the ability to communicate complex information to a diverse range of audiences, both orally and in writing as well as the ability to gather, understand, analyse and extract key elements from complex data sets (for example large amounts of experimental data).

You will be able to work independently, manage and carry out appropriate research and respond to enquiries and requests for information from KTP partners and other relevant parties (such as patent attorneys). An aptitude for the commercial aspects of the work being undertaken is required; candidates who are able to demonstrate commercial experience will be at a distinct advantage. Candidates must be able to demonstrate an initial understanding of customer requirements and eventual market uptake.

Please ensure you read the Job Description and Person Specification for full details of this role.

Benefits:

• A £5,400 training budget with 10% of your working time dedicated to personal development.
• Opportunity to gain business experience in a cutting edge, customer focused commercial organisation.
• Opportunity to develop world beating CFD models and see them used in practical commercial applications.

• The successful applicant will develop a wide range of industrial and research skills for their future career, utilising the skills and knowledge of company supervisors, as well as benefitting from continuous academic support.
• There may be an opportunity to register for a higher degree.
• 41 days leave per year

The University of Exeter

We are a member of the prestigious Russell Group of research-intensive universities and in the top 150 universities in the world (Times Higher Education World University Rankings 2022 and QS World University Ranking 2022). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2017.

Our Equality, Diversity and Inclusion Commitment

With over 27,000 students and 6,400 staff from 180 different countries we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength. We are committed to creating an inclusive culture where all members of our community are supported to thrive; where diverse voices are heard through our engagement with evidence-based charter frameworks for gender (Athena SWAN), race equality (Race Equality Charter Mark), LGBTQ+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented within our working community. Reasonable adjustments are available for interviews and workplaces.

For further information please contact Prof Gavin Tabor, Professor of Computational Fluid Dynamics, email [email protected]

Due to the current Covid-19 restrictions, first round interviews are expected to take via Teams/Zoom. Due to the nature of the role, we will only shortlist candidates who clearly demonstrate their suitability for this role via a covering letter and/or personal statement.