van der Schaar Lab

van der Schaar Lab is recruiting 5 PhD positions starting 2024

Join our Machine Learning Lab for a PhD at the University of Cambridge!

Ready to push the boundaries of research, as a part of a dynamic and world-renowned group dedicated to harnessing the power of MachineLearning to tackle real-world challenges?

We are thrilled to announce that the van der Schaar lab is actively seeking 5 exceptional PhD students, with a keen interest in the following areas:

  • Human-AI alignment,
  • Foundational Models,
  • AI for Scientific Discovery,
  • Reinforcement and Inverse Reinforcement Learning,
  • Synthetic Data and Simulators.

All available positions are fully-funded. We are committed to fostering a diverse and inclusive research environment, and funding is available to both home and international students.

Applications are reviewed on a rolling basis, so we encourage you to seize this opportunity and apply as soon as possible.

For detailed information about our recruitment process and to submit your application, please visit:

Mihaela van der Schaar

Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Fellow at The Alan Turing Institute in London.

Mihaela has received numerous awards, including the Oon Prize on Preventative Medicine from the University of Cambridge (2018), a National Science Foundation CAREER Award (2004), 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award.

In 2019, she was identified by National Endowment for Science, Technology and the Arts as the most-cited female AI researcher in the UK. She was also elected as a 2019 “Star in Computer Networking and Communications” by N²Women. Her research expertise span signal and image processing, communication networks, network science, multimedia, game theory, distributed systems, machine learning and AI.

Mihaela’s research focus is on machine learning, AI and operations research for healthcare and medicine.