To sustain the burden of unprecedented population growth, the UN has chartered the Sustainable Development Goals (SDG) intended to be, "a blueprint to achieve a better and more sustainable future for all". A key goal among the SDGs is ensuring no hunger - by attaining food security, improving nutrition, and promoting sustainable agriculture. The major hindrance in the path of accomplishing this goal is food waste. In the UK alone, the cost of food waste amounts to £13.8 billion/annum. And besides economic loss, global food waste is accountable for around 8% of the total greenhouse gas emissions. This interdisciplinary Ph.D. research will therefore focus on building sustainable solutions to address food waste powered by Artificial Intelligence (AI) innovation, aiming to reduce and manage food waste by exploring their conversion into value-added products. The overall aim would be, to apply data-driven simulation(s), and establish an innovative food model.
The outcome of this project has tremendous potential to make a key impact in the attainment of the second SDG goal by developing technology-based solutions to improve urban health and for other sustainable causes. Besides, the cutting-edge interdisciplinary research, this studentship will provide the Ph.D. candidate with ample opportunities to build upon their career in science and technology. Like, dissemination of research work/outputs as well as networking in internal and/or external relevant conferences, scientific publications in peer-reviewed journals, innovation to commercialisation prospects (e.g., ICURe), etc.
Candidates with a background in Data Science (or other relevant areas) and a strong interest in applied biotechnology (or willingness to learn) are encouraged to apply for this position. For any informal queries please contact Dr Dipankar Sengupta ([Email Address Removed]).
Supervisory Team – Dr Dipankar Sengupta, Dr Pooja Basnett, Dr Linda Percy