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University of Cambridge

Research Fellow (Social Networks) (Fixed Term)

Cambridge
Posted 1 day ago
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Research Fellow (Social Networks) (Fixed Term)

Fixed-term: The funds for this post are available for 24 months.

Applications are invited for a full-time Research Associate to join BRIDGE, a five-year, €2 million European Research Council (ERC) Consolidator Grant led by Dr Davide Luca, investigating urban-rural political polarisation.

The successful candidate will join an international and interdisciplinary research team comprising the Principal Investigator, Project Manager, Research Fellows, and Research Assistant, and will contribute to cutting-edge research examining the causes and consequences of urban-rural divides.

The post holder will contribute across the project, with a particular focus on Work Package 3, which explores how social networks and schooling shape individual outlooks. This work will involve analysing large-scale social network data, applying Big Data, Machine Learning, and Large Language Model techniques, and developing measures of social connectedness using anonymised data from online platforms.

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The position is full-time with flexible working arrangements. The role is primarily intended for post-doctoral researchers, although exceptionally strong pre-doctoral candidates whose doctoral research closely aligns with the BRIDGE project may also be considered.

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The closing date for applications is: Midnight on Monday 3rd August.

Interviews are expected to take place between mid-August and mid-September.

Informal enquiries are welcomed and should be directed to: Dr Davide Luca
Email: dl622@cam.ac.uk

If you have any queries regarding the application process, please contact: hr@hsps.cam.ac.uk

Please quote reference JP50172 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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Skills

Social Networks
Big Data
Machine Learning
Large Language Models
Data Analysis
Research
Interdisciplinary Collaboration
Urban-Rural Divides

Location

Cambridge, England, United Kingdom

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