28 algorithm-phd "INSAIT The Institute for Computer Science" PhD positions at University of Cambridge
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 15 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Offer
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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), accessibility and inclusive design, feminism and intersectionality, trans and gender diversity studies, and misinformation, will be considered. The ideal candidate will have or soon be awarded a PhD from any
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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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are seeking candidates with a PhD (or near completion) in a relevant field, or with substantial and demonstrable research skills (academic or professional) that reflect equivalent capability, to contribute
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. The position is available up until the end of 2025. Where a PhD has yet to be awarded the appointment will initially be made at Research Assistant level (Grade 5) and amended to Research Associate (Grade 7) upon
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will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
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abrasive slurries. The applicant will have obtained or be close to obtaining a PhD or have some years of relevant industrial experience in Chemical Engineering, Colloid Science, Mechanical Engineering
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, please send your one-page cover letter and two-page CV to Professor Nathan Crilly [nc266@cam.ac.uk ]. The message header should be "JLR PhD Application". Emails should arrive no later than 1 September 2025
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience