Research Fellow in Machine Learning (Fixed Term)

Location: Cambridge

Role information

We are seeking a highly creative and motivated Research Fellow to join the Machine Learning Group ( in the Department of Engineering, and the Leverhulme Centre for the Future of Intelligence (, as a joint appointment with a desk in each, primarily based in the CFI, University of Cambridge, UK.

This postdoctoral Research Fellow will be working with Professor Zoubin Ghahramani and Dr Adrian Weller on developing theory and methods to ensure that machine learning/artificial intelligence systems are scalable, reliable and interpretable.

Additional responsibilities and duties include developing research objectives and proposals; presentations and publications; assisting with teaching and learning support; liaising and networking with colleagues and students; planning and organising research resources and workshops. The roles will combine strong theoretical and analytical skills with programming experience.

Successful applicants will have or be near to completing a PhD in computer science, information engineering, statistics or a related area, and will have extensive research knowledge and experience in addition to a strong publication record in machine learning, including ideally papers in top machine learning conferences such as NIPS, UAI, ICML, and AISTATS. Excellent mathematical and programming skills are essential. Experience in two or more of the following areas: probabilistic modelling and scalable approximate inference; deep learning, MCMC methods; Bayesian optimization; graphical models will be necessary.

The funds for this post are available for 36 months in the first instance.

To apply online for this vacancy and to view further information about the role, please visit: This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form.

Please upload in the Upload section of the online application (1) your Curriculum Vitae (CV); (2) a Covering Letter of no more than 1,500 words, outlining a proposed research direction, and explaining how your skills and proposal would contribute to this project in particular, and CFI more broadly; and (3) a Sample of Writing of no more than 5,000 words that demonstrates your suitability for this project. We will not be able to consider any additional documents as part of your application.

The closing date for applications is 30 June 2017. Please direct questions about this vacancy to Susan Gowans at Please quote reference GO12221 on your application and in any correspondence about this vacancy.

Interviews will be held in Cambridge, date to be confirmed.

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

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

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