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Fully Funded PhD Studentship · January 2027 entry

AI-Driven Ultrasound for Materials Evaluation

University of Sussex

One fully funded 3.5-year University of Sussex PhD studentship on ai-driven ultrasound for materials evaluation, open to UK and overseas applicants with both UK and international fees covered.

United KingdomSep 11, 2026Last source check Aug 7, 2026
This record is incomplete.Still missing: source evidence. It is published so you can see what is known and what is not, and it is excluded from search indexing until the gaps close.
Confirm current details before applying.Source review was due 10/08/2026. Confirm details on the official page.
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Information needed

  • Your target study level
  • Your field of study
  • Your relevant experience
  • Your language-test status

The provider makes the final eligibility and selection decision. Verify all requirements on the official source before applying.

Meeting every stated requirement does not guarantee selection. The provider makes the final decision.

Funding package

What the opportunity covers

Number available: 1
Full tuition fee waiver at the UK or international rate.
5 years
£21,805 tax-free per year for 3.5 years.
One-off £2,000 Research and Training Support Grant, access to specialist facilities, computing or laboratory resources and academic or industrial collaborators.

Not mentioned by the official source

  • Mandatory fees
  • Living stipend
  • Accommodation
  • Health insurance
  • Travel

These costs are not addressed in the funding information captured from the provider. That does not mean they are excluded — it means nobody has stated either way. Budget for them, and confirm on the official source.

Eligibility

Who can apply

  • Applicants whose first language is not English must meet the University of Sussex English-language requirements.
  • A strong relevant academic background is required. Specific prior technical experience is desirable but not essential.
  • Normally an upper second-class, 2:1, undergraduate honours degree or equivalent.
  • Ultrasound or wave physics, numerical simulation, Python, machine learning, neural networks, uncertainty quantification and laboratory validation.
  • Normally an upper second-class undergraduate honours degree or equivalent in physics, engineering, applied mathematics, materials science, computer science or a related field.
  • No age or residency limit stated. International applicants may require ATAS clearance and a UK student visa after receiving an offer.
  • UK and overseas applicants.
Application package

Documents and steps

Required documents

  1. Research proposal, CV, degree certificates and transcripts, two references including at least one from an institution attended within the previous five years, and English-language evidence where applicable.

Application steps

  1. Review the studentship page

  2. Open the Sussex PhD application page

  3. Select full-time Engineering PhD for January 2027

  4. Name the studentship and supervisor

  5. Upload all required documents

  6. Submit by the studentship deadline

Evidence and freshness

Sources behind this record

This record was checked against an official provider source. Confirm the final requirements and application route on the official website before applying.

No public evidence excerpt is available yet. Use the linked official source to confirm every material claim.

Not yet recorded from an official source: eligible nationalities, required academic background, language requirements, work-experience requirements, required documents. Unknowns are stated rather than filled with generic advice.

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Application steps

  1. Review the studentship page
  2. Open the Sussex PhD application page
  3. Select full-time Engineering PhD for January 2027
  4. Name the studentship and supervisor
  5. Upload all required documents
  6. Submit by the studentship deadline

This checklist is a personal preparation aid. Always verify current requirements on the official provider website before submitting your application.

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