At a Glance
- Tasks: Join a pioneering team to develop AI models that revolutionise healthcare.
- Company: Nightingale AI at Imperial College London, a leader in innovative health technology.
- Benefits: Competitive salary, 41 days off, generous pension, and collaborative research environment.
- Other info: Dynamic interdisciplinary team with opportunities for top-tier research publication.
- Why this job: Make a real-world impact by shaping the future of AI in healthcare.
- Qualifications: PhD in relevant fields and expertise in multimodal learning or machine learning theory.
The predicted salary is between 49017 - 57472 € per year.
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
- 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.
- The chance to collaborate with researchers across machine learning, healthcare, neuroscience, engineering, and translational medicine, and to publish top‑tier research with a genuine path toward real‑world impact.
- Sector‑leading salary and remuneration package (including 41 days off a year and generous pension schemes).
This is a full‑time, fixed 24‑month post (35 hours per week).
Research Associate in Multimodal Foundation Models for Healthcare in London employer: SONICOM
Nightingale AI at Imperial College London is an exceptional employer, offering a unique opportunity to work at the forefront of AI in healthcare. With a collaborative and interdisciplinary work culture, employees benefit from generous remuneration, including 41 days of annual leave and robust pension schemes, while engaging in meaningful research that has the potential for real-world impact. The South Kensington and White City campuses provide a vibrant environment for professional growth and innovation, making it an ideal place for ambitious researchers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Multimodal Foundation Models for Healthcare in London
✨Network Like a Pro
Get out there and connect with people in the field! Attend conferences, workshops, or even local meetups related to AI and healthcare. You never know who might have a lead on your dream job or can introduce you to someone at Nightingale AI.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your relevant projects and research. Bring along a portfolio or a presentation that showcases your work in multimodal learning or generative models. Let’s make them see how you can contribute!
✨Tailor Your Approach
Before reaching out to companies like Nightingale AI, do your homework! Understand their projects and align your skills with their needs. A personalised approach shows you’re genuinely interested and can make a lasting impression.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and serious about joining the team at Nightingale AI.
We think you need these skills to ace Research Associate in Multimodal Foundation Models for Healthcare in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Research Associate. Highlight your experience in multimodal learning and any relevant projects you've worked on. We want to see how your skills align with our mission at Nightingale AI!
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. We love seeing genuine enthusiasm and a clear understanding of the role.
Showcase Your Research Experience:Don’t forget to include details about your research experience, especially if it relates to healthcare or biomedical data. We’re looking for candidates who can help define the scientific direction of our programme, so make that clear!
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets into the right hands. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at SONICOM
✨Know Your Stuff
Make sure you brush up on the latest trends in multimodal learning and AI in healthcare. Be ready to discuss your PhD research and how it relates to the role. This shows you're not just a candidate, but someone who can contribute meaningfully to their ambitious programme.
✨Show Your Passion for Healthcare
Demonstrate your genuine interest in applying AI to real-world healthcare problems. Share any relevant experiences or projects that highlight your motivation to make an impact in this field. This will resonate well with the interviewers at Nightingale AI.
✨Prepare Thoughtful Questions
Think of insightful questions about their current projects or future directions in multimodal foundation models. This not only shows your enthusiasm but also your critical thinking skills. It’s a great way to engage with the interviewers and leave a lasting impression.
✨Highlight Collaboration Skills
Since the role involves working across various disciplines, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others in machine learning, healthcare, or related fields to achieve common goals.
