University of Portsmouth

PhD in Computer Vision For Ambient Assisted Living

Portsmouth, United Kingdom 3 years Taught in English Open to international students

Why students choose this program

  • Taught in English
  • Tuition 15% below the typical PhD
  • No application fee
  • Applications currently open

About PhD in Computer Vision For Ambient Assisted Living

Applications for the Sep 2026 intake are due by Aug 31, 2026. Tuition comes to 24,433 USD per year.

Students with a strong background in programming and AI, particularly those interested in developing assistive technologies for people with long-term health conditions, will find this PhD programme particularly rewarding. The project aims to enhance the safety of living environments for individuals with conditions like dementia and autism through the application of advanced computer vision and AI techniques. Researchers will work in the School of Computing, utilising a fully instrumented residential house and an IBM PowerAI Vision platform to develop and test novel approaches for recognising Activities of Daily Living (ADL) routines in video data. The project is aligned with the University of Portsmouth's strategic priorities in wellbeing and emerging technologies, and is supported by collaborations with care and housing providers, as well as charities like Autism Hampshire.

About University of Portsmouth

University of Portsmouth, established in 1869 and located in the historic coastal city of Portsmouth, offers a vibrant student experience with around 28,000 students, including approximately 5,000 international learners. The university combines strong teaching and research with practical industry links and a waterfront location that enriches campus life. Its long history of technical and professional education makes it a familiar choice for students seeking applied learning in a city with excellent transport links.

Portsmouth provides a range of programs organized across ten broad subject areas, encompassing engineering, business, health professions, creative arts and sciences. Students benefit from industry placements, modern laboratories and career-focused modules that enhance employability. The university also supports research-led teaching and partnerships with local employers, giving international students opportunities to gain real-world experience alongside academic study.

Comprehensive support services help international students with visas, accommodation, language preparation and wellbeing, while student societies and campus activities foster social integration. With practical training options, placement support and access to regional industries and cultural sites, Portsmouth is well suited to students who value both academic quality and hands-on experience. Prospective applicants should investigate program specifics, placement opportunities and scholarship options before applying.

This program's tuition is 15% below the typical PhD in the United Kingdom.

Median tuition for that cohort is 28,364 USD, across 2,078 programs on Global Admissions.

Compare United Kingdom PhD programs

English Test Requirement

IELTS 6.5 (no band below 6.0)

PhD in Computer Vision For Ambient Assisted Living: Frequently Asked Questions

What are the fees for PhD in Computer Vision For Ambient Assisted Living?
Tuition: USD 24,432.92 per year.
How long is the PhD in Computer Vision For Ambient Assisted Living program?
The program duration is 3 year.
What is the application deadline?
The application deadline is 2026-08-31.
Is PhD in Computer Vision For Ambient Assisted Living available online?
This is an on-campus program at University of Portsmouth in Portsmouth.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

Edit Program

Related Blog Posts

Show More Blog Posts →

Complete your profile to unlock

Direct application links unlock once your profile is at least 80% complete. You're currently at 0%. It only takes a minute.