Join us

You will be part of the collective of highly-skilled interdisciplinary researchers associated with REPHRAIN, initially from the five lead institutions, but growing further over the lifetime of the Centre as more projects and researcher/practitioners-in-residence start.

The Centre’s researchers will jointly contribute to the REPHRAIN Map that will systematically track the global challenges of preventing and/or reducing online harms for individuals and identify the gaps in our knowledge in this arena, and to the REPHRAIN Toolbox to provide real, actionable, resources for researchers, practitioners and citizens globally. Staff associated with REPHRAIN will take part in all Centre-wide activities including project specific meetings, quarterly All-Hands meetings, masterclasses, Knowledge Exchange events and REPHRAIN showcases.

Current Vacancies

Research Associate – PROM project

Fixed-term (12 months), Full time – King’s College London

REPHRAIN has a vacancy for a promising early-career researcher with an excellent background in cyber security to join the PROM project. This project will investigate the role of online cultures in the promotion of violence, through a data-driven analysis. Identifying sources of violent narratives require a deep understanding of how online communities are structured and what is the type of content shared. The project will leverage the outputs of two projects: the ESRC CREST project that have looked into the use of memes to promote violence led by Guillermo Suarez-Tangil, and ii) the EPSRC DADD project that has developed data-driven methods to automatically discover biases in language corpora led by Jose Such.

More information can be found here.

Research Associate – AUTAPP project

Fixed-term (7 months), Full time – University of Bristol

REPHRAIN are looking to recruit a promising early-career researcher in the field of machine learning for natural language processing, ideally with experience in large-scale corpus (Big Data) analysis and passionate about making online social media a safer place, especially for children and adolescents. The AUTAPP project will analyse the current (and future potential) abuse of commercially available Privacy Enhancing Tools (PETs) for criminal purposes, using specific online harms as primary case examples, while considering the potential role of machine learning and natural language processing techniques to flag a range of online harms on social media: the sale of illegal goods and services, such as drugs, weapons, and online fraud or hacking-related services; child sexual abuse, exploitation and grooming; harassment; sextortion; cyber bullying; trolling, aggression and hate speech; depression and self-harm; and, radicalisation.

More information can be found here.