Artificial Intelligence-based Household Food Waste Reduction” at Brunel University London on FindAPhD.com

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Dr Ruiheng Wu No more applications being accepted Funded PhD Project (Students Worldwide)

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London United Kingdom Electrical Engineering Electronic Engineering Computer Science Engineering Software Engineering

About the Project

Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. One of these projects is “Artificial Intelligence-based Household Food Waste Reduction” led by Dr Ruiheng Wu in the Department of Electronic and Electrical Engineering.

The aim of this project is to develop an affordable, easy-to-use and smart phone-based system that can easily recognise the ‘best before’ dates of the foods and detect whether the food is going bad. Smart recipes and shopping list can be provided to manage their food consumption with lower waste level. The project includes the development of the hardware and AI (artificial intelligence)-enabled software.

You should demonstrate knowledge of wireless sensors and networks, RFID and its applications plus artificial intelligence (AI) and machine learning. Project management, software development, hardware design and testing skills are essential. You should be a highly motivated individual and possess a strong sense of curiosity. The ability to study independently, think critically and collaborate with others is essential.

How to Apply

Email the documents below as a single PDF file to [Email Address Removed] by 16:00 on Friday 3 June 2022. Please state the name of the project supervisor in your email.

· Your up-to-date CV;

· Your 300-word personal statement setting out why you are suitable for this position;

· Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);

· Your English Language qualification of IELTS 6.5 overall or equivalent, if applicable;

· Two references, one of which can be provided by a member of Brunel University academic staff.

Interviews will take place in June 2022.

Funding Notes

Successful applicants will receive an annual stipend of £18,062 including outer London allowance plus payment of their full-time tuition fees for a period of 42 months (3.5 years).
You should be eligible for home (UK) tuition fees but there is a limited number of studentships (no more than two) available to overseas applicants, including EU nationals, who meet the entry criteria.

References

You will have or will receive an undergraduate degree classified at 1st class or 2:1 (honours) in an engineering subject. A postgraduate masters degree may be an advantage. Where appropriate, applicants must have English language proficiency to an overall score of IELTS 6.5 or equivalent.