PhD Studentship: Growing AI
University of Cambridge
Project Overview Resilient and productive agriculture is reliant on bespoke planning involving data-driven decisions guided by local practice, required practice, local data, such as crop yield, and global data such as commodity prices and weather predictions. Technological progress has made it possible to automatically collect a variety of sensor data and self-reported practice. The challenge is to understand how to leverage such information to design an AI-bestowed system that provides bespoke advice to the ind...
Project Overview Resilient and productive agriculture is reliant on bespoke planning involving data-driven decisions guided by local practice, required practice, local data, such as crop yield, and global data such as commodity prices and weather predictions. Technological progress has made it possible to automatically collect a variety of sensor data and self-reported practice. The challenge is to understand how to leverage such information to design an AI-bestowed system that provides bespoke advice to the ind...
Opportunity details
Project Overview Resilient and productive agriculture is reliant on bespoke planning involving data-driven decisions guided by local practice, required practice, local data, such as crop yield, and global data such as commodity prices and weather predictions. Technological progress has made it possible to automatically collect a variety of sensor data and self-reported practice. The challenge is to understand how to leverage such information to design an AI-bestowed system that provides bespoke advice to the individual crop producing farmer about strategy and practice that will deliver a profitable and environmentally restorative farming system. This PhD position is funded and supported by a collaborative agreement between Hutchinsons and the charity LEAF (Linking Environment And Farming). Both organisations have complementary goals in terms of improving the way collected and available data is leveraged to improve farming practices. The successful candidate will have access to experts and data from these organisations, and will explore the development of a human-centred decision support system leveraging multimodal data and artificial intelligence. The ultimate goal for the project is to support farmers with individualised and actionable insights, allowing them to make informed decisions in relation to the profitability and sustainability of their farming practices. Ideal Candidate Profile We welcome applications from motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques. Experience of working with large multimodal datasets. Interest in human-computer interaction and human-centred system design. Strong communication a...
Eligibility
The successful candidate will have access to experts and data from these organisations, and will explore the development of a human-centred decision support system leveraging multimodal data and artificial intelligence. Ideal Candidate Profile We welcome applications from motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. Experience of working with large multimodal datasets.
Requirements
The successful candidate will have access to experts and data from these organisations, and will explore the development of a human-centred decision support system leveraging multimodal data and artificial intelligence. Ideal Candidate Profile We welcome applications from motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. Experience of working with large multimodal datasets.
Funding and benefits
Funding eligibility: UK Students.
Required documents
CV
How to apply
Ideal Candidate Profile We welcome applications from motivated students with a strong background in engineering or computer science. To apply for this studentship, please send your two page CV and one page covering letter outlining your suitability to Per Ola Kristensson (pok21@cam.ac.uk) and John Dudley (jjd50@cam.ac.uk) to arrive no later than 5 pm BST on Friday 21 August. Applications may close early if the position is filled before this date. Please include "[CAM-GROWING-AI]" in your email subject.
Open the official application information
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Benefits
Funding eligibility: UK Students.
Eligibility summary
The successful candidate will have access to experts and data from these organisations, and will explore the development of a human-centred decision support system leveraging multimodal data and artificial intelligence. Ideal Candidate Profile We welcome applications from motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. Experience of working with large multimodal datasets.
Requirements
The successful candidate will have access to experts and data from these organisations, and will explore the development of a human-centred decision support system leveraging multimodal data and artificial intelligence. Ideal Candidate Profile We welcome applications from motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. Experience of working with large multimodal datasets.
Documents required
CV
Language/test requirements
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