Research Assistant in Behavioural and Computational Neuroscience

4 weeks ago

United Kingdom University of Cambridge Full time

A position exists, for a Research Assistant in Behavioural and Computational Neuroscience in the Department of Engineering, to work on projects in the field of statistical learning, decision making, neuroimaging. The postdoc will be supervised by Dr Flavia Mancini and join the dynamic and multidisciplinary research environment of the Computational and Biological Learning group ( )

The post will be in Central Cambridge, UK.

The key responsibilities/duties:

  • Ideating, designing and conducting neuroimaging/behavioural studies on using behavioural, computational and neuroimaging research methods in humans
  • Dissemination of research findings
  • Maintaining and developing methodological/ technical skills to expand their scientific potential. The post-holder is expected to grow and develop in methodological skills and theoretical understanding during this post.

The skills, qualifications and experience required to perform the role:

  • Applicants must have (or be close to obtaining) a Master degree (at least 2:1) in a relevant subject area to neuroscience, physics, mathematics, biology, psychology or a related neuroscience field.
  • Knowledge of statistics, behavioural, systems, cognitive and/or computational neuroscience
  • Specialist skills in neuroimaging methods, from data collection to analysis (especially fMRI).
  • Excellent written and oral communication skills
  • Experience in conducting and analysing behavioural and/or neuroimaging experiments on human participants
  • Ability to work both independently and as part of a team
  • Excellent organizational skills

Fixed-term: The funds for this post are available until 31 May 2025 in the first instance.

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) 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, please contact Dr Mancini fm456@cam.ac.uk for queries of a technical nature related to the role and cbl-enquiries@cam.ac.uk for queries related to the application process.

Please quote reference NM41606 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.

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