At a Glance
- Tasks: Join a team to develop cutting-edge computational models for cardiac imaging.
- Company: Imperial College and Royal Brompton Hospital, leaders in cardiac research.
- Benefits: Competitive salary, 39 days off, generous pension, and career growth opportunities.
- Other info: Collaborate with top researchers and enhance your software engineering skills.
- Why this job: Make a real-world impact on heart disease diagnosis with innovative technology.
- Qualifications: PhD or nearing completion in relevant fields; strong computational modelling skills required.
The predicted salary is between 36000 - 60000 £ per year.
Cardiac diffusion tensor imaging (cDTI) is uniquely able to investigate cardiac microstructure noninvasively. It is providing us with a new understanding of microscopic changes behind heart diseases and the mechanisms of cardiac contraction. Imperial and the Royal Brompton Hospital have been at the forefront of advances in cDTI methods which offer potential for translation to the clinic.
A three-year Research Associate or Research Assistant post in Computational Modelling of Cardiac Diffusion Tensor Imaging is available to further these methods. This project forms part of a BHF and EPSRC funded programme underway at Imperial and the Royal Brompton Hospital (RBH) to investigate cardiac microstructure and microvasculature. The person appointed will join the multidisciplinary team, working with supervisors Dr. Andrew Scott (imaging physics), National Heart and Lung Institute/RBH and Professor Denis Doorly (computational modelling), Aeronautics, Imperial.
The research will develop our computational modelling of diffusion and perfusion within heart muscle to enable more precise diagnosis of cardiovascular disease. Previous experience of MRI is not essential, though applicants require a strong background in computational and mathematical modelling. You will derive geometric and other parameters from microscopy images, developing microstructural models using AI where appropriate. You will perform theoretical and computational analyses of transport and exchange processes using high performance computing, to guide optimisation of cDTI measurements.
- Research Associate: Hold a PhD in applied computational fluid dynamics preferably applied to respiratory or cardiovascular flow, or equivalent research, industrial or commercial experience. Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
- Research Assistant: Near completion of a PhD (or equivalent) in computational solution of partial differential equations, preferably in fluid dynamics, ideally applied to respiratory or cardiovascular flows, or equivalent research, industrial or commercial experience.
Applicants must have:
- PhD or equivalent in Physics, Maths, Engineering or closely related field, or nearing completion (research associate).
- MSc in one of the above subjects (research assistant).
- Experience in computational modelling of partial differential equations.
- Programming experience in several languages: Matlab, Python, C++.
- Strong publication record and presentation at scientific meetings.
- Excellent written and verbal communication.
- Ability to work unsupervised and within a team.
- Excellent problem solving skills.
Other desirable criteria include:
- Image analysis experience, automated segmentation and/or image registration.
- Experience using high performance computing clusters/GPU based parallelisation.
- Experience solving diffusion or related equations by Monte Carlo methods.
- Knowledge of MRI/diffusion tensor MRI.
- Experience with machine learning/deep learning/AI methods.
Be part of a team developing cutting-edge simulation technology having real-world impact. Grow your network by being part of a large multi-institutional team of researchers. Opportunities and training to develop and enhance your software engineering skills. The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow your career: Gain access to Imperial’s sector-leading as well as opportunities for promotion and progression. Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).
Research Assistant or Associate in Computational Modelling of Cardiac Diffusion Tensor Imaging in London employer: Imperial College London
Imperial and the Royal Brompton Hospital offer an exceptional work environment for those passionate about advancing cardiac research through innovative computational modelling. With a strong emphasis on employee growth, you will have access to extensive training opportunities, a supportive multidisciplinary team, and the chance to contribute to groundbreaking projects that have a real-world impact. Enjoy a competitive salary package, generous leave, and the opportunity to be part of a world-leading institution dedicated to science for humanity.
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant or Associate in Computational Modelling of Cardiac Diffusion Tensor Imaging in London
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We think you need these skills to ace Research Assistant or Associate in Computational Modelling of Cardiac Diffusion Tensor Imaging in London
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Imperial College London that you have the hands-on skills they need.
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Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Imperial College London does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
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How to prepare for a job interview at Imperial College London
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Imperial College London. You might even be asked to demonstrate your understanding of these processes.
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