At a Glance
- Tasks: Conduct cutting-edge research in computational modelling for cardiovascular digital twins.
- Company: Join Queen Mary University of London, a leader in innovative research.
- Benefits: Competitive salary, generous leave, flexible working, and professional development opportunities.
- Other info: Collaborate with experts in a dynamic, inclusive environment focused on innovation.
- Why this job: Make a real impact in healthcare with groundbreaking research in cardiovascular technology.
- Qualifications: PhD in relevant fields with experience in CFD or numerical simulation.
The predicted salary is between 51755 - 51755 £ per year.
We are seeking a Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and Trials Theme, of the NIHR Biomedical Research Centre Award. Funded by the National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre, the role will focus on undertaking research in computational cardiovascular modelling for patient‑specific digital twins, with an initial focus on blood‑flow simulation and transcatheter aortic valve replacement (TAVR). The postholder will develop and evaluate computational methods for modelling patient‑specific aortic and valvular haemodynamics. The position is funded until March 31st 2028 in the first instance, and available immediately.
You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You will have a strong background in research processes, including report writing, and producing high‑quality publications, with experience in cardiovascular modelling, fluid–structure interaction or high‑performance computing being desirable.
You will be based in the Digital Environment Research Institute (DERI) and the Cardiovascular Devices Hub (CVDHub). DERI is Queen Mary’s first University Research Institute dedicated to ground‑breaking multi‑disciplinary research in digital and data science, including artificial intelligence (AI). The role is jointly split with the Cardiovascular Devices Hub which brings together clinicians, academics, engineers and industry to develop innovative solutions to unmet clinical needs.
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits:
- We offer competitive salaries
- Access to a generous pension scheme
- 30 days’ leave per annum (pro‑rata for part‑time/fixed‑term)
- A season ticket loan scheme
- Access to a comprehensive range of personal and professional development opportunities
- A range of work life balance and family friendly, inclusive employment policies
- Flexible working arrangements
- Campus facilities
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins employer: Institute for Modern
The Quadram Institute is an exceptional employer, offering a collaborative and inclusive work culture that values diversity and innovation. As part of the Core Science Services team, you will have the opportunity to contribute to groundbreaking research in bioscience while benefiting from a supportive environment that encourages professional growth and development. Located in the vibrant Norwich Research Park, employees enjoy access to state-of-the-art facilities and a commitment to work-life balance through family-friendly arrangements.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Institute for Modern, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
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We think you need these skills to ace Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Institute for Modern. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Institute for Modern. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Institute for Modern
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Institute for Modern. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Institute for Modern to drive research projects forward.
