Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop innovative imaging techniques for cancer detection using super-resolution ultrasound.
- Company: Join King's College London, a leader in biomedical engineering and imaging sciences.
- Benefits: Enjoy a competitive salary, collaborative environment, and the chance to impact healthcare.
- Why this job: Be at the forefront of medical research, working on groundbreaking technology with real-world applications.
- Qualifications: PhD in a STEM field or submission pending; strong programming skills and research experience required.
- Other info: Full-time role until October 2025, based at St Thomas’ Hospital.
The predicted salary is between 44355 - 51735 £ per year.
Applications are invited for a Post-Doctoral Research Associate position as part of a Medical Research Council funded project in the Research Department of Imaging Physics & Engineering, within the School of Biomedical Engineering and Imaging Sciences (BMEIS) at King’s College London. This role is based at St Thomas’ Hospital with links to King’s College Hospital, offering a unique opportunity at the intersection of clinical and engineering research to develop innovative imaging techniques for cancer detection.
The project focuses on super-resolution ultrasound (SR-US) imaging, which surpasses conventional ultrasound resolution limits, enabling detailed visualization of microvascular structures crucial for disease characterization and intervention. Advances in ultrafast data acquisition and 2D array technology facilitate the development of 3D SR-US imaging.
Role Overview
This position offers an exciting opportunity to develop cutting-edge methodologies for SRUS in 2D and 3D, involving data acquisition, processing, and experimental design. The successful candidate will work closely with the project fellow, develop experimental protocols, and implement processing software, requiring strong programming skills (e.g., MATLAB) and experience in ultrasound imaging.
Candidate Requirements
- PhD in a STEM field or submission pending
- Excellent communication skills in English
- Research background with peer-reviewed publications
- Programming proficiency
- Experience with medical imaging and ultrasound systems
- Ability to work independently and collaboratively
- Enthusiastic and scientific approach to problem-solving
Desirable Skills
- Experience with ultrasound image analysis
- Experimental research experience
- Teamwork in multidisciplinary settings
- Analysis of spatio-temporal data
Contract Details
Full-time, fixed-term until 31 October 2025, salary range £44,355 - £51,735 per annum, including London Weighting.
Application Process
Submit your CV and a supporting statement addressing the essential criteria. For more details, refer to the full job description available after applying. The role is subject to occupational health clearance.
Research Associate in Super-Resolution Ultrasound Imaging employer: King's College London
Contact Detail:
King's College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Super-Resolution Ultrasound Imaging
✨Tip Number 1
Familiarise yourself with the latest advancements in super-resolution ultrasound imaging. Understanding the current trends and technologies in this field will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the biomedical engineering and imaging sciences community. Attend relevant conferences or webinars, and connect with researchers on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 3
Prepare to discuss your programming skills, particularly in MATLAB, as well as any experience you have with medical imaging systems. Be ready to provide examples of how you've applied these skills in previous research projects.
✨Tip Number 4
Showcase your ability to work collaboratively in multidisciplinary teams. Think of specific instances where you've successfully collaborated with others, as this is a key aspect of the role at King's College London.
We think you need these skills to ace Research Associate in Super-Resolution Ultrasound Imaging
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in medical imaging and ultrasound systems. Emphasise any programming skills, particularly in MATLAB, and include details of your peer-reviewed publications.
Craft a Strong Supporting Statement: In your supporting statement, directly address the essential criteria listed in the job description. Use specific examples from your research background to demonstrate your qualifications and enthusiasm for the role.
Showcase Communication Skills: Since excellent communication skills are required, consider including examples of how you've effectively communicated complex ideas in previous roles or during your studies. This could be through presentations, publications, or collaborative projects.
Proofread Your Application: Before submitting, carefully proofread your CV and supporting statement for any errors or typos. A polished application reflects attention to detail and professionalism, which are crucial in a research environment.
How to prepare for a job interview at King's College London
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to medical imaging or ultrasound systems. Highlight any peer-reviewed publications and how they relate to the role.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential for this position, be ready to talk about your experience with MATLAB or similar software. Consider bringing examples of your coding work or discussing specific challenges you've overcome.
✨Emphasise Communication Skills
Excellent communication is key in a collaborative environment. Prepare to give examples of how you've effectively communicated complex ideas to both technical and non-technical audiences in your past roles.
✨Prepare for Problem-Solving Scenarios
Expect questions that assess your scientific approach to problem-solving. Think of specific instances where you faced challenges in your research and how you tackled them, particularly in experimental design or data analysis.
