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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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for data-efficient vision foundation models. Foundation models in computer vision currently rely on massive datasets and brute-force scaling. This leads to high data requirements, hidden biases, limited
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performance (10–50 Hz) on hardware with constrained memory, power and compute. The project will investigate training, adapting and deploying compact Physical AI models efficiently. Work may cover vision
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scholarship for this research and enter “PhD Scholarship in Communication and Navigation for People who are Blind or have Low Vision” as the scholarship name under Research Program Funding of the application
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Portal or send them to the PGR Admissions team at [email protected] . Please quote the reference: SciEng-DTA Jan 2027-AD-Micro Expression Vision Application link: PhD Computing and Digital Technology
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, computer vision, and medical robotics while working within the Medical Robotics Laboratory at the University of Newcastle. PhD Scholarship details Funding: Funding: $38,938 per annum (2026 rate) indexed
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mission, vision and values. Available documents The EPSRC Postdoctoral Pathway supports EPSRC-funded PhD graduates who are excited about taking thefirst steps towards research independence with a two-year
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Qualifications • PhD in Aerospace Engineering, Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or a closely related discipline
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application! We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit
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maintenance of equipment Provide mentorship and academic guidance to students Prepare and compile reports pertaining to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic