Research Associate in Machine Learning
University of Cambridge
United Kingdom

We are seeking a Research Associate (post-doctoral researcher) to join the Machine Learning Group ( in the Department of Engineering, University of Cambridge, UK.

The post holder will be located in Central Cambridge.

Key responsibilities include to work on Bayesian optimisation, Gaussian processes, deep learning and Bayesian methods, with an interest in hardware design.

The position is funded by Intel and the Semiconductor Research Corporation.

Additional responsibilities include: developing research objectives and proposals; presentations and publications; assisting with teaching and supervision; liaising and networking with colleagues and students; planning and organising research resources and workshops.

Successful applicants will have a PhD in Computer Science, Information Engineering, Statistics of a related area, with extensive research experience and a strong publication record. Excellent mathematical and programming skills are essential, with experience in two or more of Bayesian optimisation, Deep learning, Gaussian processes and Bayesian methods.

Interviews are expected to take place in April 2020 at the Department of Engineering. A Skype interview will be possible for applicants who cannot attend in person.

Salary Range: Research Associate: £32,816 - £40,322

Fixed-term: The funds for this post are available for 12 months in the first instance with a possibility of extension.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

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

Please ensure that you upload your Curriculum Vitae (CV), including a list of your publications, and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy or the application process, please contact: Mrs Catherine Munn, email:, Tel +44 1223 748 529.

Please quote reference NM22814 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.

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

If you apply for this position please say you saw it on Computeroxy


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