Marie Curie Early Stage Researcher (Computational)
Marie Curie Early Stage Researcher (Computational)

Marie Curie Early Stage Researcher (Computational)

Trainee 36530 - 47630 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Conduct groundbreaking research on thrombosis using advanced computational methods.
  • Company: Join UCL's Hawkes Institute, a leader in innovative healthcare solutions.
  • Benefits: Competitive salary, international research experience, and a chance to earn a PhD.
  • Why this job: Make a real impact in healthcare while developing your research skills.
  • Qualifications: First-class Master's degree and strong knowledge of fluid mechanics required.
  • Other info: Collaborative, multicultural environment with excellent career growth opportunities.

The predicted salary is between 36530 - 47630 £ per year.

The role is hosted within UCL's Hawkes Institute, which focuses on translating innovative healthcare technologies into clinical solutions addressing significant medical challenges.

This 36-month doctoral position offers an opportunity to conduct research on patient-specific thrombosis in Type-B aortic dissection using computational and simulation-based approaches, including Computational Fluid Dynamics and/or physics-informed AI tools. Thrombosis in the false lumen can influence disease progression and patient outcomes, with both stabilising effects and potential complications. The project will focus on developing predictive in silico models of thrombosis in the false lumen and examining correlations between haemodynamic markers and thrombotic outcomes using data from a small patient cohort provided by a European partner hospital. The research topic will be refined collaboratively with the Doctoral Candidate using Challenge-Based Learning principles.

The project will be based at UCL under the supervision of Professor Vanessa Diaz and Professor Stavroula Balabani. Doctoral training will include secondments of three to six months at partner institutions in Europe, providing international research experience and exposure to complementary expertise. The successful candidate will be enrolled as a doctoral student in UCL Mechanical Engineering and awarded a PhD from University College London in Computational Biomechanics or a closely related discipline.

Applicants should hold a UK-equivalent first-class Master's degree in a relevant discipline and be within four years of full-time equivalent research experience, without holding a doctoral degree. Essential skills include strong knowledge of fluid mechanics, experience in computational flow modelling, programming skills, effective written and verbal communication, and the ability to work collaboratively in a multicultural research environment.

In line with Marie Skłodowska-Curie mobility requirements, applicants must not have lived or worked in the UK for more than 12 months in the three years prior to recruitment. Total annual remuneration ranges from £36,530 to £47,630, depending on eligibility. UCL offers a wide range of staff benefits; further details are available via the UCL Rewards and Benefits webpages.

As London's Global University, UCL is committed to equality, diversity and inclusion, and actively encourages applications from candidates underrepresented in its workforce. UCL Mechanical Engineering holds an Athena SWAN Bronze award in recognition of its commitment to advancing gender equality.

International applicants motivated to pursue doctoral research within a structured European Marie Skłodowska-Curie network are encouraged to apply by following the APPLY button and submitting a supporting statement demonstrating how they meet the selection criteria.

Marie Curie Early Stage Researcher (Computational) employer: UCL

UCL's Hawkes Institute is an exceptional employer, offering a unique opportunity for early-stage researchers to engage in groundbreaking work at the intersection of healthcare and technology. With a strong commitment to equality, diversity, and inclusion, UCL fosters a collaborative and multicultural work environment that encourages personal and professional growth. The position not only provides access to world-class training and mentorship but also includes international secondments, enhancing the research experience and broadening career prospects.
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Contact Detail:

UCL Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Marie Curie Early Stage Researcher (Computational)

✨Tip Number 1

Network like a pro! Reach out to current or former researchers at UCL or in similar fields. A friendly chat can give us insights into the role and might even lead to a referral.

✨Tip Number 2

Prepare for interviews by diving deep into the research area. Brush up on fluid mechanics and computational modelling, and be ready to discuss how your skills align with the project goals.

✨Tip Number 3

Showcase your collaborative spirit! Highlight any past experiences where you worked in multicultural teams or tackled complex problems together. This is key for a role that values teamwork.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their applications.

We think you need these skills to ace Marie Curie Early Stage Researcher (Computational)

Fluid Mechanics
Computational Flow Modelling
Programming Skills
Effective Written Communication
Effective Verbal Communication
Collaborative Work in Multicultural Environments
Computational Fluid Dynamics
Physics-Informed AI Tools
Data Analysis
Predictive Modelling
Research Experience
Challenge-Based Learning Principles

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your strong knowledge of fluid mechanics and computational flow modelling in your application. We want to see how your skills align with the research focus, so don’t hold back!

Tailor Your Supporting Statement: Your supporting statement is your chance to shine! Tailor it to reflect how you meet the selection criteria and demonstrate your passion for the project. We love seeing candidates who are genuinely excited about the research.

Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read and gets straight to the point.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it makes the whole process smoother for everyone involved.

How to prepare for a job interview at UCL

✨Know Your Stuff

Make sure you brush up on your knowledge of fluid mechanics and computational flow modelling. Be ready to discuss specific projects or experiences that showcase your skills in these areas, as they are crucial for the role.

✨Show Your Passion for Research

Express your enthusiasm for the research topic, especially around thrombosis and its implications in Type-B aortic dissection. Share any relevant experiences or insights that demonstrate your commitment to advancing healthcare technologies.

✨Prepare for Collaborative Questions

Since the role involves working in a multicultural environment, be prepared to discuss how you’ve successfully collaborated with others in the past. Think of examples where you’ve worked in teams, especially in research settings.

✨Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the specific challenges the team is currently facing or how the secondments will enhance your research experience. This shows your genuine interest in the position and the project.

Marie Curie Early Stage Researcher (Computational)
UCL

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