Research Associate in Super-Resolution Ultrasound Imaging - Strand, London, WC2R 2LS

TieTalent; London; On-site; GBP 35,000 - 55,000; Full time

Job summary

An exciting opportunity awaits in the realm of medical imaging! Join a forward-thinking research team dedicated to revolutionizing cancer detection through innovative super-resolution ultrasound imaging techniques. This role offers a chance to engage in cutting-edge research at the intersection of clinical and engineering fields, providing invaluable insights into the microvascular structures associated with tumors. You will be instrumental in developing methodologies that enhance imaging capabilities, contributing to significant advancements in patient care and clinical interventions. If you're passionate about pushing the boundaries of medical technology, this position is perfect for you.

Qualifications

• Experience in data acquisition and processing related to ultrasound imaging.
• Strong computational skills and knowledge of programming languages.

Responsibilities

• Design and perform experiments for super-resolution ultrasound imaging.
• Develop processing strategies for quantitative microvascular information.

Skills

Data Acquisition

Ultrasound Imaging

Programming (MATLAB)

Data Processing

Experimental Design

Education

PhD in Biomedical Engineering

Master's in Physics or Engineering

Tools

MATLAB

Ultrasound Equipment

Job description

Research Associate in Super-Resolution Ultrasound Imaging - Strand, London, WC2R 2LS

Research Associate in Super-Resolution Ultrasound Imaging - Strand, London, WC2R 2LS About Us

Applications are invited for the position of Post-Doctoral Research Associate as part of a Medical Research Council Funded Research proposal in the Research Department of Imaging Physics & Engineering, School of Biomedical Engineering and Imaging Sciences (BMEIS) at King’s College London.

This position is based at St Thomas’ Hospital with additional close links to King’s College Hospital. We therefore work directly at the interface of clinical and engineering research which provides valuable insight into the challenges and opportunities in acquiring and interpreting clinical data, offering exciting opportunities to perform truly translational research.

Cancer detection, diagnosis and clinical intervention can significantly increase chances of patient survival. However, current non-invasive imaging methods are unable to visualise the microvasculature associated with cancerous tumours deep in the body.

Recently developed super-resolution ultrasound (SR-US) imagingis gaining world-wide recognition due to its ability to achieve a resolution far beyond the conventional limit for ultrasound (US), allowing visualisation of micro-vascular structure and flow. SR-US also has potential to provide access to multiple new quantitative functional and morphological parameters that could be crucial for disease characterisation, monitoring and intervention.

Recent advances in US including ultrafast data acquisition and 2D array technology has provided fast volumetric data acquisition and imaging rates of thousands of frames per second in deep tissue, allowing opportunity to develop advanced 3D SR-US.

About the role

This is an exciting opportunity for an enthusiastic researcher to develop state-of-the-art methodologies and quantification for super-resolution ultrasound imaging (SRUS) in 2D and 3D. This will require experiences in data acquisition and processing related to ultrasound imaging and contrast enhanced ultrasound. This aims to provide a reliable and repeatable clinical technique to extract quantitative microvascular information.

The purpose of the role is to design, develop, and perform experiments and to develop associated processing strategies for SRUS imaging. The PDRA will work closely with the Fellow on the project’s experimental and data acquisition aspects. This will involve designing, developing and performing experimental systems and acquisition protocols. The RA will assist with data curation and implementation of processing software. This will require computational skills, good knowledge of programming languages such as MATLAB, and an ability to plan experiments, make and record observations and test hypotheses. The candidate will propose and define strategies for extending the imaging strategies with a research system and programmable 2D matrix-array probe to allow 3D SRUS imaging.

This is a full time post (35 Hours per week), and you will be offered a fixed term contract until 31 October 2025.

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