We seek to recruit a full-time Research Assistant to join the CamPAIN group within the Division of Anaesthesia, Department of Medicine (http://anaesthetics.medschl.cam.ac.uk/).
Applicants should have a BSc or equivalent degree in neuroscience, engineering or computational sciences. Other degrees with relevant Masters (for example MSc, MRes or equivalent) qualification will also be considered. Willingness and the ability to work in a clinical (hospital) environment are essential.
We welcome applicants who (a) have experience or skills in EEG methods in other scientific areas but wish to develop knowledge in clinical medicine, or (b) who are from a computational science or engineering background and wish to develop clinical research skills, or (c) who are from a pain neuroscience background who can demonstrate exceptional ability to translate research in laboratory science to the clinics.
For informal visits or enquiries please contact Dr Michael Lee (email@example.com) or 01223 217890 prior to the closing date for applications.
Fixed-term: The funds for this post are available until 1st August 2019 in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a standard Disclosure and Barring Service check. This appointment also requires a Research Passport application.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please ensure that you upload a covering letter and CV 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 include details of your referees, including email address and phone number, one of which must be your most recent line manager.
The closing date for applications is the 17th May 2017 with interviews likely to take place late May or early June.
Please quote reference RC12022 on your application and in any correspondence about this vacancy.
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