About this project
Applications are invited for a PhD student to work on a project focusing on smart sensors in sustainable agricultural production. The project is part of a cluster of PhD projects entitled Sustainable Terrestrial and Maritime Food Systems: Environmental Technologies and their Implications. This particular project will look at the integration of smart sensors reading a wide range of physical variables, e.g., water table levels, rainfall, atmospheric pressure, temperature, crop luminosity, soil quality, etc. Use of this data has the potential to increase agricultural efficiency and reduce environmental impact. A combination of Machine Learning (ML) and Artificial Intelligence (AI) will combine this continuous stream of data with external data, such as highly accurate weather forecasts, and convert it into quality information in real-time to create tools which will inform farmers’ operational decisions in relation to soil and crop management.
The research aims of this project are:
- To investigate the use of sensors for measuring crop quality
- To develop a centralised AI/ML algorithm for making management recommendations to farmers
- To investigate the use of Block Chain for secure and trustworthy Federated Distributed Learning and develop federated AI for the application
The successful candidate will be based on the University of Hull campus and will be provided with physical workspace and the specific equipment and resources needed for their research. The successful student will benefit from joining a collaborative, multidisciplinary and nurturing environment, and will be provided with excellent opportunities for external networking. We will hold regular meetings with the entire cluster, with opportunities to present and discuss research, invite internal and external speakers and collaborators and foster networking.
For informal inquiries, please contact Dr Chandrasekhar Kambhampati or Dr Muhammad Khalid.
Join us at a free webinar at 6 pm on Thursday 1 December for more information about the funded projects available through this cluster. You will be able to hear from PhD supervisors and ask questions about the programme.
About the research cluster
Sustainable terrestrial and maritime food systems: environmental technologies and their implications
This PhD project is part of a cluster of inter-related, inter-disciplinary projects, which between them focus on the implications of environmental technologies for the practices of people involved in primary food production on both land and sea. Our food and energy production systems contribute significantly to environmental problems, including climate change, and technological solutions are often proposed as ways of reducing their carbon footprints. Yet these can be challenging to implement and can have unanticipated effects on the practices of those engaged in farming and fishing. This cluster of projects involves a combination of scientific projects aiming to develop and test different environmental technologies, and social science projects aiming to look at the effects on the practices of primary food producers as society aims for a low carbon world. Specifically, the cluster will: 1. advance the development of two technologies for use in terrestrial food production and examine the implications of these for farmers, and 2. examine the effects on the small-scale fishing industry of high energy prices and large scale offshore wind deployment.
As part of a PhD cluster, in addition to becoming an expert in your own area you will join a collaborative, multidisciplinary and nurturing environment with other researchers around a common theme. You will be part of regular cluster meetings where you can present and discuss your research, as well as engaging with the wider community of postgraduate researchers in the university. You will have opportunities to build relationships with external stakeholders, and you will be supported in development towards your future career – whether that be within or without academia.
How to apply
You will need to supply a personal statement when applying for this scholarship position. Find out more about writing a personal statement. Please also ensure you include the following information:
- What motivates you to pursue PhD study
- Why you are interested in this project
- How your skill set matches the requirements for your choice of project and/or any additional training you will need
- The wider significance of research in this area and potential future research directions for the project.
Apply for this scholarship Full time | Part time
Closing date for applications
10 February 2023
18 September 2023