Research Fellow in Cyber Security and Privacy

LASE (University of Greenwich); Greater London; On-site; GBP 39,000 - 45,000; Full time

Job summary

The University of Greenwich is seeking a researcher to join the LASE group, contributing to GANNDALF work on privacy and explainability in AI for cybercrime investigations. The role involves contributing to pilot implementations and evaluations, with a fixed-term appointment until 30 September 2027.

The successful candidate will hold a PhD in computer science or equivalent and a strong publication record in privacy-enhancing technologies or explainable AI, with potential for extension beyond the

Qualifications

• PhD in computer science or equivalent.
• Strong publication record in privacy-enhancing technologies or explainable AI.

Responsibilities

• Advance research on privacy-explainability tradeoffs in explainable AI for cybercrime investigations.
• Conduct pilot implementations and evaluations of the GANNDALF toolbox and related workflows.

Skills

Explainable AI

Education

PhD in Computer Science

Job description

Contract Type: Fixed-Term - until 30/09/2027

On the 1 August 2026, the University of Greenwich and the University of Kent formed a pioneering new multi-university group called London and South-East (LASE) University Group.

Should you join us, you will be employed by LASE but will work as part of the University of Greenwich academic division, contributing to its distinct strengths, community and identity while also being part of a wider group that brings together the scale, resilience and shared ambition of both universities.

Through LASE we aim to deliver outstanding education, impactful research, and meaningful regional and global impact.

This is an opportunity to join a particularly vibrant research environment. The university's Centre for Sustainable Cyber Security is recognised by the UK government as one of only nine Academic Centres of Excellence for both Research and Education in Cyber Security: https://www.ncsc.gov.uk/case-study/the-university-of-greenwich

This position is part of EU project GANNDALF and relates to studying and addressing the privacy-explainability tradeoff of explainable AI use in modern cyber crime investigations. Through agency-to-agency data sharing mechanisms and the deployment of a decision-support toolbox to identify cyber threats, GANNDALF is delivering a customisable and collaborative crime investigation sandbox for scenarios for sophisticated crime investigation. The role holder will help advance our existing work in optimising explainability strength in cyber crime investigations, taking into account privacy. The role holder will also take on the corresponding pilot implementations and evaluations.

The role holder is expected to have a PhD in computer science or equivalent and a strong publication record in privacy-enhancing technologies or explainable AI.

The post is until the end of the project (end of September 2027), but there is scope to extend further.

Further details of the fantastic benefits and what we offer can be found here: Our benefits - what we offer | Jobs and careers | University of Greenwich

and information on the university's working principles: Working Principles and Guidelines | Documents | University of Greenwich

We are committed to building a strong, diverse workforce that reflects the communities we serve. We particularly encourage applications from [protected characteristic(s)], who are currently under-represented within the University of Greenwich at these levels/within these areas.

We do this through taking positive action such as encouraging applications from Black, Asian and Minority Ethnic, care leavers, disabled and LGBT+ people. As part of our commitment to Equality, Diversity and Inclusion, Time to Change Employer Pledge/Mentally Healthy Universities, we are committed to promoting and supporting the physical and mental health of all our staff, and removing barriers to improve inclusion.

We encourage applicants to disclose experience of mental health problems so we can support them fully during our recruitment process and make any necessary reasonable adjustments.

• £38,784 to £44,746 per annum, plus £4313 London weighting pa