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FoodBioSystems DTP - Developing a new energy efficient technology for dewatering of food materials

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  • Full or part time
    Dr V Stojceska
    Dr A Chatzifragkou
    Prof S Tassou
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Research Group: FOODBIOSYSTEMS BBSRC DTP

The food and beverage industry is the second highest energy-consuming sector in the UK that has experienced only modest reductions in energy usage over recent decades. Some progress has been made in the reduction of energy consumption and emissions from the food chain in response to government initiatives and legislation and the desire of many companies to improve social and environmental performance. It has been achieved primarily through the application of well-proven energy conservation technologies and activities that could lead to quick return on investment. However, much more radical solutions are needed to reduce further energy demand in the food sector and mitigate the related climate change impacts. Energy can be saved at the processing plant level by optimizing and integrating processes and systems to reduce energy intensity, which includes more efficient processes such as drying, minimization of waste through energy recovery and better use of by-products.

This 4-year PhD studentship involves development of novel drying process and food products/ ingredients that could be used in the food supply chain to improve overall sustainability and circular economy. The project involves: (i) Design and construction of laboratory drying cell; (ii) Screening and characterization of different food materials; (iii) Assessment of drying processing on targeted food materials; (iv) Analysis and interpretation of laboratory results (physical and chemical properties) & (v) Assessment of environmental impact of a newly developed technology.

You will have an opportunity to work between BUL and UoR and take part in the multidisciplinary research area at the CSEF at BUL. CSEF has established a unique cross-disciplinary hub of engineers, scientists and industry experts to develop energy-efficient food manufacturing, distribution and retail systems to support companies achieve their short, mid and long term CO2 emissions reduction targets.

Training opportunities: Both Universities will provide training, technical and academic support. You will have an opportunity to work in a multidisciplinary research area that involves food engineering, food science and environmental sustainability. You will develop transferable skills with engaging with the food industry interested in developing this technology and potentially work on their food materials and waste.

Student profile: The successful candidate will possess minimum 2:1 Honours degree in Food Science/ Engineering/Technology, Chemical or Process Engineering or equivalent qualification(s). Degree in MPhIl, MEng, MSc or relevant industrial experience would be an advantage.

Funding Notes

This project is part of the FoodBioSystems BBSRC Doctoral Training Partnership (DTP), it will be funded subject to a competition to identify the strongest applicants. Due to restrictions on the funding, this studentship is only open to UK students and EU students who have lived in the UK for the past three years.

The FoodBioSystems DTP is a collaboration between the University of Reading, Cranfield University, Queen’s University Belfast, Aberystwyth University, Surrey University and Brunel University London. Our vision is to develop the next generation of highly skilled UK Agri-Food bioscientists with expertise spanning the entire food value chain. We have over 60 Associate and Affiliate partners. To find out more about us and the training programme we offer all our postgraduate researchers please visit https://research.reading.ac.uk/foodbiosystems/.

How good is research at Brunel University London in Allied Health Professions, Dentistry, Nursing and Pharmacy?

FTE Category A staff submitted: 50.60

Research output data provided by the Research Excellence Framework (REF)

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