Title: Research Engineer: Advanced Modelling of Heat-Mass Transfer in Foods and Beverages for Sustainable Manufacture, Storage and Distribution
Institution: University of Surrey
Location: Unilever UK LTD, Colworth, Bedford, UK
Comp: £19,900 per annum
Deadline: March 24, 2104
Research Engineer: Advanced Modelling of Heat-Mass Transfer in Foods and Beverages for Sustainable Manufacture, Storage and Distribution
The University of Surrey hosts a prestigious EPSRC-funded Industrial Doctorate Centre offering an EngD in Sustainability for Engineering and Energy Systems (SEES). The SEES EngD is a four-year doctorate for researchers who aspire to key leadership positions in industry. The programme is academically equivalent to a PhD, but has one major difference; the student (or ‘Research Engineer’) spends the majority of their time based with a sponsor organisation, working on their commercial research priorities. They return to the University for Short Courses, conferences and seminars designed to develop specialist technical knowledge and exceptional business skills.
The EngD studentship is available with Unilever UK Central Resources Ltd. in Colworth, Bedford. Unilever is a world leading company of foods, refreshment and home–personal care products. The company is committed to double the size of its business and half its environmental impact by 2020. Unilever’s R&D Centre at Colworth sponsored 9 BBSRC CASE awards and 4 EPSRC awards each year.
It is estimated that about 1/3 of the world’s food production is wasted. In developed countries, much of the wastage occurs in product manufacture, storage, distribution and consumption. This project aims to develop advanced heat and mass transfer models to achieve reduced wastage and energy use in food manufacture, storage and distribution. The research will focus on two high energy consuming product areas: ice cream, and tea-based beverages. The project will directly address sustainability issues in food engineering systems by the development of advanced heat-mass transfer models, through a multi-physics and multi-scale life cycle thinking approach interacting with product microstructure and property change. Predictive tools will be developed to select the most resource-efficient value chains from formulation through manufacturing and storage to distribution. New methods will be investigated and developed (multi-scale life cycle thinking methods, multi-physics methods, combined with meta-modelling) at the leading edge of new scientific methods of supercomputing. The developed technologies are fundamentally generic and can subsequently be further adapted to other areas within the food and drink industry.
The Research Engineer will be based in Unilever UK Ltd, Colworth, Bedford.
We are looking for a self-motivated, confident individual with exceptional critical and innovative thinking. With proven interpersonal skills, you will be able to work across a range of academic and professional disciplines within a complex organisational structure. The successful candidate will hold a first degree in Chemical Engineering (at least a 2:1) or another relevant discipline (eg. other engineering disciplines) and will demonstrate substantial mathematical and quantitative modelling skills. Prior experience in computer programming and/or mathematical modelling of heat and mass would be an advantage. A Master’s degree is not a pre-requisite but would be looked upon favourably. You should be able to show a clear enthusiasm for and understanding of sustainability and environmental issues, in particular Life Cycle Assessment.
The current stipends for EngD studentships are £19,900 per annum (normally tax-free). To be eligible for funding, applicants must demonstrate a relevant connection with the UK, in compliance with EPSRC eligibility criteria (available at www.surrey.ac.uk/sees).
5pm on Monday 24th March 2014 (Interviews are expected to take place w/c 31st March 2014)
Please visit www.surrey.ac.ukl/seesor for more information, please contact email@example.com 01483 684036.
Unilever Project Description FINAL.PDF