We have room for an outstanding clinician with experience in machine learning to join our elite group of PhD students at the University of Cambridge
Applications are now closed!
5 ways we can empower you
1. Fully funded
All positions are fully funded for 4 years, thanks to the generous support of partners as diverse as AstraZeneca, AVIVA, the Cystic Fibrosis Trust, GlaxoSmithKline, Illumina, Microsoft Research, and the Office of Naval Research, among others. Funding covers both home and international fees in addition to living costs/stipend.
2. World-leading research and tuition
CCAIM includes some of the foremost names in machine learning and AI for healthcare, and the University of Cambridge is the absolute pinnacle of academia.
We are regularly publishing at the four largest AI and machine learning conferences (NeurIPS, AISTATS, ICLR, and ICML), and have a strong track record of publications in leading clinical journals and impact on clinical treatment guidelines.
3. Freedom to think big and explore
We are creating new frontiers in machine learning. Our focus is entirely on medicine and we produce ground-breaking work across an enormous range of machine learning sub-fields – including deep learning, causal inference, AutoML, time-series analysis, reinforcement learning, and many more.
This breadth of expertise is a product of our exceptional academic diversity: among our researchers, we have computer scientists, engineers, applied mathematicians, statisticians, econometricians, and physicists and we collaborate with world leading clinical researchers in Cambridge and internationally.
4. Projects with a purpose; work that can change the world
Our research projects are targeted and practical. Our mission is to apply machine learning to real-world problems in healthcare, and our goal is nothing short of a revolution in medicine. Our vision is that patients should be treated as individuals and that machine learning will take evidence-based medicine beyond the current paradigm of evidence from populations to truly become evidence-based personalised medicine.
5. Unmatched prospects
Employers know that our Centre only takes the best and brightest. When you graduate, you won’t need to settle: our alumni around the world have become leaders in their fields, with some continuing to full professorships and others joining top private-sector teams including DeepMind, Intel, Qualcomm and Apple.
Eligibility and application process
We expect to be recruiting through the first half of 2023. Admission is competitive, and successful candidates will need to have top grades (the equivalent of a first-class undergraduate degree with honours) from world-leading academic institutions, with excellent clinical backgrounds and some experience in machine learning.
The Centre views diversity of all kinds as a crucial source of strength and creativity. To that end, applications are sought from candidates with a wide variety of nationalities, academic specialisations, and professional clinical backgrounds.
Please contact us using the form below, uploading your resume and providing links to any relevant publications, reports or code if these are available.
We’ll make every effort to review your application, but please note that this may take a while (due to the volume of applications, combined with internal requirements regarding timeframes for evaluating and accepting new researchers).
Please also note that we will only contact you if we plan to follow up (i.e. learn more about you or invite you to interview).Additionally, note that you do not need to submit your information via the University of Cambridge’s website unless we have contacted you to follow up on your application.
