Research Associate (Fixed Term)

A postdoctoral position is available in the lab of Professor Paul Bays at the University of Cambridge, Department of Psychology to work on a collaborative project with Professor Máté Lengyel in the Department of Engineering. The successful candidate will work on a research project investigating the computational and neural principles by which visual information is encoded and maintained in human memory on different timescales.

The research will combine artificial neural network and machine learning methods with human behavioural measurements of visual perception and memory. The researcher will design, conduct and analyze research on this project in consultation with Professor Bays and Professor Lengyel, and write and communicate results as scientific papers and in scientific presentations at national and international conferences.

Applicants should have a PhD in neuroscience, vision science, or any other relevant subject, with a strong analytical and mathematical background, and experience of modelling behavioural and/or neural data. Applicants will need to demonstrate a record of research productivity and the ability to work creatively and independently.

More information about the labs can be found at https://bayslab.org and https://lengyellab.org

Fixed-term: The position is available from 1 January 2024, and the funds for this post are available for 18 months in the first instance.

To apply online for this vacancy and to view further information about the role, please click on the apply button above.

For informal inquiries, please contact Paul Bays at pmb20@cam.ac.uk

Closing Date: Thursday 5th December 2024 at 12 Midnight

Planned interview dates will be in December 2024

Please quote reference PJ44159 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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