At a Glance
- Tasks: Develop innovative computational models to revolutionise chronic kidney disease diagnosis.
- Company: Join a leading institute in in silico medicine with a collaborative spirit.
- Benefits: Travel budget for international conferences and opportunities for professional growth.
- Other info: Be part of Europe's largest in silico medicine institute with a dynamic, interdisciplinary team.
- Why this job: Make a real difference in healthcare by predicting diseases early and improving patient outcomes.
- Qualifications: PhD-level education in a quantitative field and strong programming skills required.
The predicted salary is between 29700 - 36300 £ per year.
Are you an ambitious researcher with a background in engineering, applied mathematics, physics, or computational mechanics who wants to transform the future of medicine?
We have an exciting opportunity in the School of Mechanical, Aerospace and Civil Engineering (MAC) and the INSIGNEO Institute for in silico medicine for someone with a passion for numerical modelling looking to use their skills to make a profound impact on chronic kidney disease patients.
You will join a well-connected, interdisciplinary team on the EPSRC-funded project "Vascular Computational Modelling in Chronic Kidney Disease (VASCO-CKD)".
Chronic kidney disease affects approximately one in ten people, yet current tests only catch it in its late stages.
Your work will lead the development of next-generation 1D-0D computational models to link visible changes seen in non-invasive medical scans with invisible microscopic vessel damage, laying the groundwork for early disease prediction, stratification, and digital twin design.
In this varied and dynamic role, you will be responsible for expanding our in-house open-source circulation solver (open BF), integrating complex renal function and autoregulation mechanics, and implementing state-of-the-art disease progression coupling.
Working alongside Project Lead Dr.
Alberto Marzo and Prof Steven Sourbron, you will run pioneering in silico clinical trials using large virtual populations to discover clinical biomarkers.
You will also leverage an incredible ecosystem of global partners, medical physics researchers, and patient advocacy groups.
This post offers you an exceptional career move.
You will be fully embedded in INSIGNEO, Europe's largest in silicomedicine institute, boasting over 400 multidisciplinary members.
To support your professional growth and global networking, this position includes a dedicated travel budget funding three international conference trips (such as the Virtual Physiological Human Conference or World Congress of Biomechanics) during your 42-month tenure.
Educated to Ph D level (or near completion) in a highly quantitative field, you will possess strong programming skills and documented experience in numerical model development.
Knowledge of cardiovascular or renal haemodynamics and global sensitivity analysis would be a distinct advantage.
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Research Associate - Vascular Computational Modelling in Chronic Kidney Disease in Sheffield employer: University of Sheffield
The University of Sheffield offers an exceptional environment for PhD candidates, particularly in the School of Electrical and Electronic Engineering, where cutting-edge research in machine learning and autonomous systems thrives. With a fully funded studentship that includes a generous tax-free stipend, students benefit from access to modern facilities and collaborative opportunities with leading experts at the Defence Science and Technology Laboratory. The supportive work culture fosters innovation and personal growth, making it an ideal place for aspiring researchers to develop their skills and contribute to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate - Vascular Computational Modelling in Chronic Kidney Disease in Sheffield
✨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 University of Sheffield, 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 Research Associate - Vascular Computational Modelling in Chronic Kidney Disease in Sheffield
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 University of Sheffield. 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 University of Sheffield. 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 University of Sheffield
✨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 University of Sheffield. 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 University of Sheffield to drive research projects forward.
