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PhD in Machine Learning for Computer Vision and Natural Language Processing

Coventry University

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Course options

  • Qualification

    PhD/DPhil - Doctor of Philosophy

  • Location

    Coventry (Main Campus)

  • Study mode

    Full time

  • Start date

    18-MAY-26

  • Duration

    3 Years

Course summary

Our research aims to develop new machine learning methods for computer vision and natural language processing that are needed to tackle the big data world we live in. These must effectively train very large models, usually deep neural networks or large probabilistic models, requiring new algorithmic approaches and careful implementation on high-performance computers.The team has expertise developed in the application contexts of autonomous driving and smart cities (e.g. object detection and tracking in driving video, sensor fusion, attention mechanisms, image-to-text translation, scene understanding, multimodal video summarization, vehicle localization) medical and health applications (e.g. object detection in medical image processing for surgery, diabetic retinopathy detection, remote monitoring for elderly people using image and other sensor data) satellite image processing (e.g. for agriculture or the detection of environmental problems) and natural language processing for scientific knowledge mining.

Tuition fees

Students living in United States
(International fees)

£ 15,780per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Coventry University

Coventry University

  • University League Table

    59th

  • Campus address

    Coventry (Main Campus), Priory Street, Coventry, West Midlands, CV1 5FB, United Kingdom

In 2023/24, Coventry University Group had 50,000+ global learners.
Coventry University has a strong international outlook, attracting international students and staff and collaborating with overseas partners.
International students can access a number of scholarships, bursaries and discounts to help fund their studies.

Subject rankings

  • Subject ranking

    84th out of 117 6

  • Entry standards

    / Max 223
    123 55%

    71st

  • Graduate prospects

    / Max 100
    80.0 80%

    66th

    5
  • Student satisfaction

    / Max 4
    3.13 78%

    29th

    15

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