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We have 17 Data Analysis (carbon) PhD Projects, Programmes & Scholarships

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Data Analysis (carbon) PhD Projects, Programmes & Scholarships

We have 17 Data Analysis (carbon) PhD Projects, Programmes & Scholarships

Decarbonisation of the Food System

As the world transitions to a low carbon economic system, dramatic changes will be required across the all sectors. The food system, which is currently estimated to be responsible for 20-30% of global greenhouse gas (GHG) emissions, is one where particular urgency is required. Read more

AI to the rescue of climate change, modelling air quality for cleaner urban planning

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Lakshmi Babu Saheer. Dr Javad Zarrin. Read more

Towards a better understanding of indoor air quality in the home

The World Health Organisation (WHO) recently stated that exposure to indoor and outdoor air pollution was one of the greatest risks to human health, and that improving air quality was necessary to reduce the global incidence and impact of diseases such as lung cancer, stroke, and asthma. Read more

Metamaterials for catalysis

A meta-atom is an engineered sub-wavelength structure that, when periodically arranged like an atomic lattice, enable optical, electronic, thermal, and chemical functionalities not seen in conventional designs. Read more

Probing the star-forming ISM with fine structure lines

Supersonic turbulent motions are thought to play a major role in the star formation process in galaxies. Theories have suggested that turbulence is responsible for shaping the interstellar medium (ISM), regulating star formation, and even setting the masses of stars as they form in young clusters. Read more

Impacts of oversizing on the performance of energy and environmental systems

Heating, cooling, and ventilation systems in buildings are often sized at capacities exceeding the demand for these services. This can result in inefficient operation, higher initial and operational costs, and larger environmental impacts. Read more

Developing the next generation of pedestrian behaviour models for revival of high streets and sustainable transport [Self-Funded Students Only]

  Research Group: Data and Knowledge Engineering
Modelling the behaviour of pedestrians in city centres is of practical importance not only for sustainable transport (reducing reliance on motor vehicles addresses issues of carbon emissions, congestion and health) but also can help inform planning for town centres in a post-COVID world. Read more

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