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Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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with substantial research experience will be highly advantageous. Experience in computer programming will be essential. Studentships are open to home students only. The deadline to have completed and
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sensory science, psychology, and human–computer interaction, and receive training in experimental design, immersive protocol development, and advanced analytics. Industry engagement includes placements with
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sensory science, psychology, and human–computer interaction, and receive training in experimental design, immersive protocol development, and advanced analytics. Industry engagement includes placements with
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with substantial research experience will be highly advantageous. Experience in computer programming will be essential. Studentships are open to home students only. The deadline to have completed and
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have at least 2:1 degree in a relevant field. Applicants with the prior knowledge and experience in one or more of the following fields are encouraged to apply: computer programming (any programming
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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of Engineering), Mike Pound (Computer Vision, Computer Science Department), and Darren Wells (Plant and Crop Biophysics, School of Biosciences). Who we are looking for An enthusiastic, self-motivated, resourceful