At a Glance
- Tasks: Apply AI and signal processing to ECG data for predicting cardiovascular outcomes.
- Company: Join the National Heart and Lung Institute at Imperial College London.
- Benefits: Sector-leading salary, 41 days off, and generous pension schemes.
- Other info: Full-time role with potential for extension in a diverse work culture.
- Why this job: Make a real impact in cardiovascular research with a collaborative team.
- Qualifications: PhD or equivalent in a computational discipline; Python programming skills required.
The predicted salary is between 43863 - 47223 £ per year.
Applications are invited for the position of post-doctoral research associate, to work at the National Heart and Lung Institute, Imperial College London. We are a multi-disciplinary team consisting of researchers with strong backgrounds in clinical cardiology, cardiac electrophysiology, basic science, as well as AI, mathematical, engineering expertise. We are seeking a highly motivated post-doctoral research associate to join a collaborative team of clinicians, basic scientists, and physical scientists working on cardiovascular research. The post holder will apply signal processing and AI methodology to ECGs and 2-week single-lead ECG patch data, to predict a range of cardiovascular outcomes.
The present post is funded by an EU Innovation Health Initiative (IHI), awarded to a global consortium/collaboration to reduce the burden of atrial fibrillation and advance its quantification and treatment. The work at Imperial College London is led by Professors Barbara Casadei, Fu Siong Ng and Steven Niedere.
What you would be doing:
- You will apply signal processing and AI methodology to ECGs and 2-week single-lead ECG patch data, to predict a range of cardiovascular outcomes.
- You will work closely with the clinicians, biologists, bioengineers and physical scientists within the multi-disciplinary group.
What we are looking for:
- You should have a PhD (or submitted a PhD and awaiting viva), or an equivalent qualification, industrial or commercial experience, in a computational discipline.
- Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £43,863 - £47,223 per annum.
- Experience in computer programming (particularly Python), is essential, and previous experience with AI research is highly desirable.
- A background in cardiovascular research is also desirable.
- You should also have a collaborative approach to research as this role requires working with other groups both within and outside the department.
What we can offer you:
- The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
- Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
- Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
The post is full-time fixed term for a duration of 2 years and based at the Hammersmith Campus, with the possibility of extension.
Research Associate in Artificial Intelligence & Machine Learning employer: SONICOM
At the National Heart and Lung Institute, Imperial College London, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work environment. Our commitment to employee growth is evident through our sector-leading salary packages, generous leave entitlements, and access to extensive professional development resources. Join us at our Hammersmith Campus, where you will be part of a pioneering team dedicated to advancing cardiovascular research and making a meaningful impact on global health.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Artificial Intelligence & Machine Learning
✨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 SONICOM, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like SONICOM. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Research Associate in Artificial Intelligence & Machine Learning
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 SONICOM. 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 SONICOM. 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 SONICOM
✨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 SONICOM. 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 SONICOM to drive research projects forward.
