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 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 sector-leading salaries, generous leave, and a commitment to impactful research that translates into real-world applications. 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
✨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 your passion for AI in healthcare shine through!
✨Tailor Your Approach
Before reaching out to companies like Nightingale AI, do your homework! Understand their current projects and challenges in multimodal foundation models. Tailor your conversations to show how your expertise aligns with their goals—this will make you stand out from the crowd.
✨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 genuinely interested in being part of our team at Nightingale AI.
We think you need these skills to ace Research Associate in Multimodal Foundation Models for Healthcare
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Research Associate in Multimodal Foundation Models for Healthcare. Highlight relevant experience, especially in machine learning and healthcare, and don’t forget to showcase any projects that 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. Be specific about what excites you about the role and how you can contribute to our research goals.
Showcase Your Research Skills:Since we’re looking for someone who can help define the scientific direction of our programme, make sure to highlight your research skills and any innovative ideas you have. Mention any publications or projects that demonstrate your expertise in multimodal learning or generative models.
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 and shows us you’re serious about joining our team at Nightingale AI!
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 previous research and how it relates to the role. This shows you're not just interested in the position, but that you understand the field.
✨Show Your Passion
During the interview, let your enthusiasm for AI and healthcare shine through. Talk about why you want to work at Nightingale AI and how you see your research making a real-world impact. Passion can set you apart from other candidates.
✨Prepare Thoughtful Questions
Have a few insightful questions ready about the programme and its direction. This demonstrates your interest and helps you gauge if the role aligns with your career goals. Ask about their current projects or future challenges they foresee in the field.
✨Highlight Collaboration Skills
Since this role involves working with interdisciplinary teams, be prepared to discuss your experience collaborating with others. Share examples of how you've successfully worked in teams, especially in complex projects involving different fields like engineering and medicine.
