Research Assistant/Associate in Machine Learning for Hearing Research

We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. The position will involve research in direct collaboration with Dr. Richard Turner (Engineering) and Professor Brian C.J. Moore (Psychology) developing new methods for active learning with application to intelligent hearing tests. The researcher will be based in the Machine Learning Group which comprises about 30 researchers, including Prof. Ghahramani and Prof. Rasmussen who are advisors on the project.

Applicants should have a Ph.D, or be near to completion of a PhD, in machine learning, statistics, signal processing, information engineering or a closely related discipline. The following skills and experience are desirable: experience in probabilistic machine learning as evidenced by a publication record in the main conferences and/or journals of the field e.g. NIPS, UAI, ICML, AISTATS and JMLR. Experience in signal processing and hearing research, especially computational modelling or psychophysics would be beneficial, but not essential. Strong programming skills are required. Experience of working in a team and managing own work load is also important.

The salary range for a Research Assistant is £25, 023 – £28,982 and for a Research Associate £28,982-  £37,768

Fixed-term: The funds for this post are available until 30 November 2018 (non renewable).

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

To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/10095. 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 ensure that you upload your Curriculum Vitae (CV) and a covering letter and a list of publications and two writing samples (papers,thesis etc) 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: Miss Diane Hazell, email: dsu21@cam.ac.uk, Telephone +44 (0)1223 748529

Please quote reference NM08873 on your application and in any correspondence about this vacancy.

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