At a Glance
- Tasks: Join a cutting-edge research team to develop AI models for personalised cardiac treatment.
- Company: Queen Mary University of London, a leader in digital and data science research.
- Benefits: Competitive salary, generous leave, flexible working, and professional development opportunities.
- Other info: Dynamic research environment with excellent career growth and collaboration opportunities.
- Why this job: Make a real impact in healthcare by innovating with AI and digital twin technology.
- Qualifications: PhD in a numerate field with expertise in machine and deep learning.
The predicted salary is between 37000 - 44000 £ per year.
Applications are invited for a Postdoctoral Research Associate with experience in machine and deep learning to work on a research project funded by the Precision Health, Cardiovascular Devices and Trials Theme, part of a recent NIHR Biomedical Research Centre Award to Barts Health NHS Trust.
The research will involve using the cardiovascular digital twin concept to digitally model three disease states: acute coronary syndromes, valvular heart disease and hypertension. These models will be created by inputting data from available existing and novel wearables, sensing technologies, apps and large data registries. Using this data, digital models will be created to provide personalised patient treatment plans supporting their disease management, predicting disease states/trends and enabling device choice/design by predicting the patient’s response. The role is funded for 3 years in the first instance.
The ideal candidate will have a PhD in a numerate field with expertise in machine and deep learning methods, supported by high quality publications. Experience applying such methods to healthcare data is an advantage.
Appointments at grade 4 through to grade 5 and offers will be made based on level of experience in relation to the duties and expectations of the role and person specification, as outlined in the Job Profile.
The Digital Environment Research Institute (DERI) is Queen Mary’s first University Research Institute, created as part of the university’s ambitious Strategy 2030. University Research Institutes represent a paradigm shift as they are outside the standard Queen Mary faculty structure and collaborate across the university to advance multi-disciplinary research and innovation.
DERI is dedicated to ground-breaking research in digital and data science, including AI. DERI offers an outstanding research environment including a dedicated physical space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI leads the university’s participation in The Alan Turing Institute, the UK national institute for data science and AI. By tackling grand challenges, DERI will have impact in academia, government, industry and more broadly, society.
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. 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.
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 and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.
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.
Postdoc: Cardiac AI & Digital Twin Research (Flexible Work) employer: Queen Mary University of London
Queen Mary University of London is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration in the field of digital and data science. With competitive salaries, generous leave, and flexible working arrangements, employees are supported in achieving a healthy work-life balance while engaging in groundbreaking research. The Digital Environment Research Institute provides unique opportunities for professional growth and development, making it an ideal environment for those passionate about advancing healthcare through AI and digital twin technologies.
Contact Details:
Queen Mary University of London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Postdoc: Cardiac AI & Digital Twin Research (Flexible Work)
✨Join Medical Networks
Get involved in local and national medical associations, like the Royal College of Physicians. These networks can help you connect with mentors and colleagues who might know of openings, plus they're great for staying updated on the latest in medicine and clinical practices.
✨Attend Healthcare Conferences
Make it a habit to attend medical conferences and seminars. These events are fantastic for networking and often feature job boards where hospitals and clinics post their openings. Plus, it’s a good way to get your face recognised in the industry.
✨Leverage Your Medical School's Resources
Don’t forget to use your medical school’s career services! They usually have great connections with hospitals and clinics looking to fill full-time physician positions and can help you with mock interviews or networking events.
✨Apply Directly Through Hospital Websites
When you're ready to apply, make sure to check the careers section of hospital websites directly. Hospitals like Queen Mary University of London often post their job openings there first, and applying directly can sometimes give you an edge over other applicants.
We think you need these skills to ace Postdoc: Cardiac AI & Digital Twin Research (Flexible Work)
Some tips for your application 🫡
Show Off Your Credentials:When applying for a physician role, make sure to highlight your medical qualifications and any special certifications you have. We want to see your medical degree, residency training, and any additional certifications that set you apart, like specialised training in paediatrics or geriatrics. Don’t leave out those all-important letters after your name!
Tailor Your CV to Medicine:Your CV should reflect your experience and skills as a doctor. Be specific about your clinical rotations, medical practice, and any research work you've done – we love seeing quantifiable impacts, so mention how you've improved patient care or led successful treatment plans.
Craft a Personal Statement with Heart:In your cover letter, let us know why you chose medicine and what drives your passion for patient care. Personal stories about transformative experiences—like a memorable patient encounter or a moment that defined your career path—can really make you shine. Remember, we're looking for someone who genuinely cares about their patients!
Demonstrate Continuous Learning:In the medical field, showcasing your commitment to continuous learning is essential. Mention any recent courses, workshops, or conferences you’ve attended, and highlight your willingness to stay updated on medical advancements. This shows us that you’re not just a physician; you're a lifelong learner, ready to adapt and grow.
How to prepare for a job interview at Queen Mary University of London
✨Get Clinical Knowledge Sharp
Brush up on your clinical knowledge, particularly in areas relevant to the role at Queen Mary University of London. Expect questions about diagnosis, treatment plans, and patient management. Be ready to discuss case studies or even do some role-playing with hypothetical patient scenarios for a more practical assessment.
✨Know Your Procedures and Protocols
Familiarise yourself with the latest procedures and protocols that are specific to the field of medicine you’re applying to. Whether it’s surgical techniques or patient care protocols, being able to discuss these confidently can really set you apart in the interview at Queen Mary University of London.
✨Show You're a Team Player
In the medical field, collaboration is key. Have examples ready that showcase your teamwork and communication skills. Talk about how you've worked with nurses, specialists, or other doctors in the past to provide the best care for your patients. This shows you're ready to integrate into the team at Queen Mary University of London.
✨Stay Current with Medical Trends
Make sure you’re clued up on the latest medical trends, research, and innovations. Not only does this prepare you for technical questions, but it also shows your passion for the field. Be ready to discuss how these trends might affect your practice at Queen Mary University of London.
