Queen Mary University of London is seeking applicants for a unique multidisciplinary studentship, straddling two topical research areas: proteomics and machine learning. The project would be well suited to an exceptional graduate from a physics, engineering, computer science or similar background who is interested in learning more about bioanalytical technologies, and proteomic mass spectrometry in particular.

The student will be supervised primarily by machine learning expert Dr Fabrizio Smeraldi in the School of Electronic Engineering and Computer Science, and will work closely with proteomics experts in the Bessant Lab at the School of Biological and Chemical Sciences.

All nationalities are eligible to apply for this studentship, which is due to begin in late summer 2016. The deadline for applications is Monday 4 April.

For more details, including how to apply, please visit bit.ly/phd2016a.

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