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Research Associate, Cyber Security Risk Analysis

Closing date: 
Wednesday, 9 February 2022

The Alan Turing Institute 

The Alan Turing Institute is seeking a Research Associate, Cyber Security Risk Analysis to play an important role in cyber security risk analysis and management.

The provision of digital infrastructure for identity systems is an emerging requirement in many modern societies across the developed and developing world. As such, this requires the development of novel and appropriate socio-technical interventions that incorporate robust security and privacy measures, to protect citizens’ rights when such systems are deployed. The ideal candidate will have experience and expertise in the analysis of cyber security risks. Specifically, they will be able to determine the likelihood and impact of compromise of identity systems. The candidate should also be able to consider systemic and component risk with incomplete or inexact data, and will collaborate with a small specialist team investigating areas pertinent to establishing trustworthiness within digital identity infrastructure.

We would appreciate it if you shared the below link (with info on the role and how to apply) with relevant networks. Relevant networks on this occasion, means the following: individuals who hold a PhD degree or equivalent professional experience in a risk-related subject (e.g. cybersecurity, computer science, management science, mathematics or related discipline), and Research Assistants near completion of a PhD in the above discipline. As well as those with experience of risk assessment, analysis and management in applied settings. - This may have been gained in commercial or industrial environments as well as through production of academic papers.

Below is a link to the advert, job description and application form for candidates:
https://cezanneondemand.intervieweb.it/turing/jobs/research_associate_cyber_security_risk_analysis_19465/en/

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

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