We are seeking a highly creative and motivated PhD student to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK.

The vast size of chemical space makes very challenging to search for new relevant molecules (OLEDS, photovoltaics, pharmaceuticals, etc.). We aim to produce new intelligent systems that will accelerate this type of discovery processes by using deep learning and Bayesian optimization methods. Our contributions will be in the areas of generative modelling of data, Bayesian neural networks and approximate inference.

The Machine Learning Group is internationally renowned, comprising about 30 researchers, including Dr. José Miguel Hernandez Lobato, Prof. Zoubin Ghahramani, Prof. Carl Rasmussen, and Dr. Turner.

For further information contact Dr. José Miguel Hernandez Lobato ([email protected])

Applicants should hold (or be expected to hold) a degree in Information Engineering, Electrical Engineering, Statistics, Physics, or Computer Science preferably with 1stclass honours (or equivalent). Some practical experience of machine learning or statistics would be strongly preferred (e.g. course work assignments or research.)

This EPSRC funded studentship is available for Home and EU students. Home students and certain EU students will receive a full studentship including fees and Maintenance. EU students will receive a fees only award. Details on eligibility can be found of EPSRC Web site: https://www.epsrc.ac.uk/skills/students/help/eligibility/ . Overseas Students are not eligible and should not apply.

Applications should be made on-line via the Cambridge Graduate Admissions Office before the deadline: http://www.admin.cam.ac.uk/students/gradadmissions/prospec/apply/ with Dr. José Miguel Hernandez Lobato

The University values diversity and is committed to equality of opportunity.