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Department of Applied Mathematics and Theoretical Physics

The University of Cambridge's van der Schaar Lab is seeking to appoint an outstanding postdoc Research Associate to its elite research team. This is a two-year position starting from January 2023 or later.

The lab specializes in the creation of cutting-edge machine learning & AI theory and methods to drive a revolution in healthcare. The research team is arguably the most diverse and visible in its field, developing a wide range of ML approaches including deep learning, causal inference, AutoML, time-series analysis, reinforcement learning, and many more.

*World-leading research
The research team, led by Professor Mihaela van der Schaar, is small, but punches well above its weight. Our postdocs and PhD students are consistently well-represented at the biggest conferences in AI and ML (AISTATS, ICLR, ICML and NeurIPS).

*Freedom to think big and explore
The lab is creating new frontiers in machine learning. Despite our primary focus on medicine, our researchers continue to produce ground-breaking work across an enormous range of machine learning sub-fields, from new deep learning theory and algorithms to methods for causal inference, graphical models, statistical machine learning, time series data, interpretable machine learning and reinforcement learning.
This breadth of expertise is a product of exceptional academic diversity: among our researchers, there are computer scientists, engineers, applied mathematicians, statisticians, econometricians, and physicists.

*Unmatched prospects
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.

Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holder will be expected to plan and manage their own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. You must be able to communicate material of a technical nature and be able to build internal and external contacts. You may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction or plan/deliver seminars relating to the research area.

We are looking for:

*Leaders who want to realise their full potential and shape the future of machine learning

*Explorers who think boldly and prefer pushing boundaries to sitting still

*Builders who see projects through to completion and want to make a real-world impact

Admission is competitive, and successful candidates will need to have graduated from PhD studentships with world-leading academic institutions, with excellent machine learning backgrounds. No knowledge of medicine or biology is required.

The lab 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 specializations, and professional backgrounds.

Fixed-term: The funds for this post are available for 2 years in the first instance, and will start from January 2023 or at a later date to be mutually agreed between the candidate and Prof van der Schaar.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Informal inquiries can be made by contacting

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please indicate the contact details of two academic referees on the online application form and upload a full curriculum vitae and a description of your recent research (not to exceed three pages). Please ensure that at least one of your referees is contactable at any time during the selection process, and is made aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System; and please encourage them to do so promptly.

Please quote reference LE33551 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our Department.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Apply online

Closing date

Dec 5th 2022

Reference number