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Research Associate (Part Time, Fixed Term)


Applications are invited for a Research Associate post at the Department of Psychology, University of Cambridge, to work on the project 'UNDER-STANDING: neurobiological basis of combinatorial processing across languages' under the supervision of Dr Mirjana Bozic.

The post requires an organised and proactive individual with good communication skills and ability to work independently, who will lead data acquisition and analyses on a new neuroimaging project. The role will entail identifying and recruiting suitable participants, acting as first point of contact for all study-related queries, fMRI data acquisition, data analyses using SPM or related software packages, and preparing results for publications and presentations.

Applicants must have a PhD in a relevant subject. Experience in programming and fMRI data analysis using SPM (or related software) is essential. Knowledge and experience with multivariate data analyses is also highly desirable. Excellent oral and written communication skills, good inter-personal skills, exceptional attention to detail, and ability to build rapport with study participants are also required. Knowledge of confidentiality, data protection, and GDPR is desirable.

The post is available from January 2020.

Fixed-term: The funds for this post are available for 6 months.

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

Informal inquiries about this post may be directed to Mirjana Bozic (mb383@cam.ac.uk)

Please note the closing date for applications is 3 November 2019 . Applications received after this time will not be considered.

Please quote reference PJ20949 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.

Further information

Apply online