Fully Funded Machine Learning PhD Positions with the Van Deer Schaar Lab

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Field of Study Machine Learning
Level PhD
Country United Kingdom
Eligibility
  • Applicants should hold (or be predicted to achieve) the equivalent of a first-class undergraduate degree with honours in a course with a strong quantitative component (e.g. engineering, comp sci, mathematics, economics, etc.) and preferably a master’s degree.
  • We are looking for: leaders who want to realize their full potential and shape the future of machine learning explorers who think boldly and prefer pushing boundaries to sit still builders who see projects through to completion and want to make a real-world impact.
Requirements Fill in the online application: Here
Deadline N/A
Organization Van Deer Schaar Lab- Cambridge University
How to Apply Official Link
Coverage
  • Fully funded All positions are fully funded for 4 years, Funding covers both home and international fees in addition to living costs/stipend.
  • World-leading research and tuition Mihaela van der Schaar is one of the foremost names in machine learning, and the University of Cambridge is the absolute pinnacle of academia.
  • We’re a small group with under 20 researchers, but we punch well above our weight. Our lab has had 27 papers accepted at the four largest AI and machine learning conferences (NeurIPS, AISTATS, ICLR, and ICML) in the last year alone.
  • Freedom to think big and explore We are creating new frontiers in machine learning.
  • Despite our primary focus on medicine, 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.
  • 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.
  • Unmatched prospects Employers know that our lab 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 Google, Intel, Qualcomm and Apple.

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