Research Associate

at  Imperial College London

WHAT WE ARE LOOKING FOR

We are looking for a talented research associate in MRI physics to help us develop next generation CMR techniques. Ideally you will have a good undergraduate degree or MSc (or equivalent) in mathematics, physics, or engineering;
A PhD in MRI, or a closely related discipline, or equivalent research, industrial or commercial experience; Knowledge of research methods and statistical procedures; Practical experience within a research environment and / or publication in relevant and refereed journals; Experience in a programming language (C++, MATLAB or Python preferred); Experience in developing MRI pulse sequences and/or image reconstruction techniques (ideally with Siemens scanners); Experience in scanning phantoms and healthy volunteers; Experience with CMR techniques would be desirable but could also be developed during the project.

AVAILABLE DOCUMENTS

Attached documents are available under links. Clicking a document link will initialize its download.

• Download: Research Associate Job Description.Pdf

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.

ABOUT THE ROLE

Cardiac Magnetic Resonance (CMR) is established for clinical diagnosis, prognosis, and guiding therapy. Our group has been at the forefront of the development of CMR techniques. These new methods will speed up clinical CMR examinations by a factor of 3 with benefits such as improving access to CMR, reductions in waiting lists and improved diagnostic value. This is a fantastic opportunity to join our dynamic multidisciplinary team of physicists, computer scientists, engineers and clinicians developing truly novel translatable imaging techniques.

WHAT YOU WOULD BE DOING

• You will develop MRI pulse sequence and reconstruction methods in for in-vivo imaging of the heart on our Siemens 3T scanner.
• You will adapt post-processing data analysis methods to extract the additional information you encoded into the images with your sequence developments.
• You will validate these techniques in phantoms, pre-clinical experiments and healthy volunteers.
• You will support the translation of your methods into initial clinical research studies in patients.
• You will produce high quality, high impact work for dissemination at international meetings and in journals.