Intelligent Sensing and Vision (IntSaV)

We are grateful to the following institutions for funding and support:

Royal Society

2023-2024: £20k, Research Grant (RGS\R2\222049), Optimising 3D bioprinting for tissue regenerative medicine using AI.

In collaboration with Biotherapeutic Research Group

British Heart Foundation

2022-2027: £305k, Programme Grant (RG/F/22/110059), UNITY: UK Collaborative for integrating AI into echocardiography.

A strong collaboration with BSE, NHLI, NIH, LoVE, Queen's, and 21 Hospitals across the UK (Total £1.5m)

2020-2023: £150k, Project Grant (PG/19/78/34733), Tensor-mapping to resolve the Achilles heel of echocardiographic strain imaging.

In collaboration with NHLI (Total £257k)

European Research Council

2011-2017: €1.54m, Starting Grant (ERC-2011-StG_20101109), Rapid reliable volume status and ventricular function assessment by non-specialist staff using innovative imaging in clinical practice.

In collaboration with The International Centre for Circulatory Health (ICCH)

Schlumberger Foundation

2021-2024: PhD Studentship

Funds for Women Graduates

2022-2023: Study Grant; Eman Alajrami

Why work with us:

• We are a team of deeply passionate, creative problems solvers. From AI researchers and data scientists, to engineers and clinicians throughout the country, we work with our partners to transform the AI technologies.
• As part of our team, you can contribute to shaping how our world – through next generation advancements in AI.



Entry requirements for PhD positions:

• MSc degree with Merit or above or have equivalent postgraduate or research experience.
• Applicants need to have a strong academic record. They should have a good ability in analytical methods and programming.
• International applicants only: an IELTS score of 6.5 or higher (with no element under 6.0). Applicants with a previous degree obtained in the UK are exempt from this requirement.



Available Postdoctoral and Research Assistant Positions:

We currently have an open Research Assistant/Associate position in super-resolution ultrasound imaging in vivo. .

• 5-year RA post - Artificial Intelligence in Cardiovascular Imaging



Available PhD projects:

The specific topics of research change according to our research strategy, but available projects will be consistent with the ones presented above. All projects involve considerable interaction with other research group memebers. The PhD students working on multidisciplinary research projects are supported by a sizeable supervisory team with subject specialist knowledge.

For further information about possible PhD positions, please contact core academics in People section above.

We are currently recruiting for the below specific projects:

• AI-aided design of 3D printing of in-situ polymerising collagen for development of scaffold for retinal regeneration
• Developing AI techniques to quantify vertebral damage and predict progressive vertebral deformity using plain radiographs
• Designing custom loss functions for echocardiographic image interpretations using deep learning
• Gait Gender Classification Using Neural Networks
• Developing Echocardiographic Encoders Using Self-Supervised Learning
• Integrative AI for Echocardiographic Diagnosis: Enhancing Interpretation through Text-Image Fusion
• Prognosis Prediction in Traumatic Brain Injury: A Novel AI Framework
• Leveraging AI for Regional Strain Estimation in Echocardiography
• Analyzing morphological alternations of vessels in multiple Sclerosis using SLO images of the eyes




Scholarships

VC Scholarships are available for PhD research positions for Home/UK students only. PhD programmes are funded for a 3-year period, and can start in Feb, May, and September each year. Funding is generous, including PhD bursaries at the standard rate and paid registration fees.