Applications are invited for a part time (up to 22 hours per week), Cambridge University funded research assistant position starting from, 1 August 2017. The successful candidate will be based in the Department of Psychology and will join the laboratory of Dr Tristan Bekinsctein (see: http://www.ccc-lab.org/), working directly for Dr Daniel Bor. The lab investigates consciousness and cognition during different states of consciousness and its transitions. The research spans from wakefulness, drowsiness and sleep, to disorders of consciousness and altered states.
Within this remit, Dr Bor is investigating the role of conscious level and arousal on cognitive performance, how age modulates this relationship, and the neural underpinnings of these effects. To explore these issues, Dr Bor is primarily using the Cam-CAN dataset, which includes fMRI, MEG and behavioural data on hundreds of volunteers across the adult lifespan. The successful candidate will work with Dr Bor on this project, by developing and using advanced brain-scanning data processing and analysis methods. Most of this work will require programming skills, especially in Matlab.
Applicants must have a good science, computer science, mathematics or engineering degree, and preferably a higher degree in a relevant subject. Experience in programming or M/EEG or fMRI analysis would be highly desirable.
If you are prepared to face intellectual challenges and wish to develop your scientific skills, while working in a team, we would like to hear from you.
Informal enquiries can be made to Daniel Bor (firstname.lastname@example.org).
Further details may be downloaded below.
Fixed term: the funds for this part-time post, of up to 22 hours per week, are available until 31st January 2018 (though an extension is possible, depending on whether funds are made available).
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 quote reference PJ12305 on your application and in any correspondence about this vacancy.
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