At a Glance
- Tasks: Shape the future of AI in healthcare by developing multimodal foundation models.
- Company: Join Nightingale AI at Imperial College London, a leader in innovative healthcare solutions.
- Benefits: Competitive salary, access to vast healthcare data, and GPU resources for ambitious projects.
- Other info: Collaborative culture with diverse staff networks and excellent career growth opportunities.
- Why this job: Make a real impact on healthcare with cutting-edge AI technology and research.
- Qualifications: PhD in relevant fields; expertise in multimodal learning and machine learning theory.
The predicted salary is between 49017 - 57472 € per year.
Location: South Kensington Campus, London
About the role
Are you an ambitious researcher ready to shape the future of AI for healthcare? Nightingale AI at Imperial College London is seeking two outstanding Postdoctoral Research Associates to help build next-generation multimodal foundation models that can learn from the full richness of health data — from biosignals and electronic health records to imaging, wearables, and biomedical knowledge. These posts offer a rare opportunity to work on frontier AI with real clinical and biomedical consequence.
What you would be doing
You will join Nightingale AI, an interdisciplinary programme spanning machine learning, medicine, neuroscience, engineering, and translational healthcare. Depending on your expertise and interests, your research may focus on one or more of the following areas:
- Multimodal foundation models for biosignals and population-scale health data, including self-supervised learning, time-series modelling, and cross-modal representation learning.
- Scalable generative health AI, knowledge-graph-enhanced modelling, retrieval-augmented generation, and architectures that improve faithfulness and scientific coherence.
- Theory of unified multimodal foundation models, including representation structure, scaling behaviour, modality alignment, and mathematically principled approaches to heterogeneous data integration.
We are particularly interested in applicants who can help define the scientific direction of the programme, rather than simply execute a pre-specified agenda.
What we are looking for
You should hold, or be close to completing, a PhD in machine learning, artificial intelligence, computer science, statistics, mathematics, computational biology, biomedical engineering, or a closely related quantitative discipline. We are looking for candidates with a strong track record and expertise in several of the following:
- Multimodal learning, self-supervised or representation learning
- Biosignal or time-series modelling
- Large-scale or generative foundation models
- Knowledge graphs, graph learning, or retrieval-augmented methods
- Machine learning theory, scaling laws, or generalisation in deep learning
- Distributed training and large-scale experimental ML
Experience with healthcare or biomedical data is highly desirable, but exceptional candidates from adjacent AI fields with a strong motivation to work in health are also encouraged to apply.
What we can offer you
The opportunity to work on AI intended to matter in practice, not only on benchmark problems, as part of an ambitious programme building a new class of unified health AI systems. Access to uniquely rich, nation-scale healthcare and biomedical data resources, and millions of GPU hours on national AI compute infrastructure for ambitious large-scale experiments. Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
Further Information
Please note that this is a PhD level role but candidates who have not yet been officially awarded will be appointed as a Research Assistant (£43,863 – £47,223). Nightingale AI sits within the Departments of Computing and Bioengineering at Imperial College London, spanning a wider ecosystem of partnerships in healthcare, biomedical research, and real-world deployment. For the right candidates, these roles offer the chance to help build not just models, but an entire new scientific and technological capability for healthcare AI. This is a full-time, fixed post for 24 months (35 hours per week).
If you require any further details about the role, please contact: Professor Aldo Faisal - a.faisal@imperial.ac.uk
£49,017 to £57,472 per annum
Postdoctoral Research Associate in Multimodal Foundation Models for Healthcare (Two Posts) employer: Institute for Modern
At Nightingale AI, part of Imperial College London, we offer an exceptional opportunity for ambitious researchers to contribute to groundbreaking AI developments in healthcare. Our collaborative and inclusive work culture fosters personal and professional growth, while access to extensive healthcare data and advanced computational resources empowers you to make a real impact in the field. Join us in shaping the future of health AI at our vibrant South Kensington Campus, where innovation meets meaningful application.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Associate in Multimodal Foundation Models for Healthcare (Two Posts)
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to Nightingale AI or Imperial College London. Attend conferences, webinars, and workshops to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your research and projects related to multimodal learning or healthcare AI. This will help you stand out during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses. Focus on articulating your vision for the future of AI in healthcare and how you can contribute to the programme.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our innovative team at Nightingale AI.
We think you need these skills to ace Postdoctoral Research Associate in Multimodal Foundation Models for Healthcare (Two Posts)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your relevant experience in machine learning and healthcare. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in healthcare and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Research Impact:When detailing your research experience, focus on the impact of your work. We’re looking for candidates who can define scientific directions, so highlight any innovative projects or contributions you've made in your field.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Institute for Modern
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and techniques in multimodal learning and AI for healthcare. Brush up on your knowledge of biosignals, time-series modelling, and self-supervised learning. Being able to discuss these topics confidently will show that you're not just a candidate, but a potential leader in the field.
✨Show Your Passion for Healthcare
Demonstrate your genuine interest in applying AI to real-world healthcare problems. Share any relevant experiences or projects you've worked on that highlight your motivation to make a difference in this area. This will help you connect with the interviewers and show that you’re aligned with their mission.
✨Prepare Thoughtful Questions
Come prepared with insightful questions about the programme and its direction. Ask about their current projects, challenges they face, or how they envision the future of AI in healthcare. This not only shows your enthusiasm but also your critical thinking skills and willingness to engage deeply with the role.
✨Highlight Your Collaborative Spirit
Since this role involves working in an interdisciplinary team, emphasise your ability to collaborate across different fields. Share examples of past teamwork experiences, especially those involving machine learning, medicine, or engineering. This will reassure them that you can thrive in their diverse and inclusive work culture.
