Job Description

The roleThe Smart Internet Lab is looking for a highly motivated, enthusiastic researcher, with a passion for security assessment in large-scale experimental testbed infrastructure for future telecom research. Research topics include AI/ML for intelligent security assessment, threat intelligent, vulnerability assessment, intrusion and anomaly detection, and mitigation.The research will leverage cutting-edge novel solutions including AI/ML through large-scale testbed experimentation. The successful candidate will contribute to cutting-edge research in intelligent security assessment and threat intelligence for future large-scale telecom research testbed infrastructures.What will you be doing?You will work with the and focus on the security of large-scale testbed for telecom research with particular emphasis on automated, intelligent, and dynamic security assessment, and threat intelligence. You will also carry out experimental/proof-of-concept implementation work to demonstrate the applicability of your research. Your main research responsibilities may include:

• Design and develop AI/ML models for real-time threat intelligence and anomaly detection in large-scale testbed infrastructures.
• Design and develop dynamic security assessment models for environments spanning on-premise, bare metal, and public cloud platforms.
• Integrate AI/ML solutions with existing security tools (e.g., Qualys, Splunk, PRTG) to enhance security and vulnerability assessments, threat detection, incident reporting, and behavioural analysis.
• Conduct system-level security assessments using monitoring data from individual slices within the JOINER infrastructure.
• Evaluate the performance of developed solutions against benchmark decisions from existing tools.
• Extend the developed solutions to federated multi-slice environments for threat intelligence sharing.
• Publish research findings in high-impact journals and present at leading conferences.

You should apply if

• Strong background in AI/ML techniques, including deep learning, anomaly detection, and predictive modelling.
• Experience in cybersecurity, including vulnerability assessment, threat detection, and incident response.
• Proficiency in programming languages such as Python, Java, or C++, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, FLOWER).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and on-premise cloud platform such as VMWARE, and heterogeneous infrastructure environments.
• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
• Excellent written and verbal communication skills, with a track record of publishing in peer-reviewed journals.

Additional informationFor informal queries please contact:Rasheed HussainTo find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:Contract type: Fixed term until 31/03/2026Work pattern: Full timeGrade: I / J / KSalary:Grade I xc2xa338,249 - xc2xa344,128 per annum;Grade J xc2xa342,882 - xc2xa348,149 per annum;Grade K xc2xa349,559 - xc2xa355,755 per annumSchool/Unit: School of Electrical, Electronic and Mechanical Engineering (EEME)This advert will close at 23:59 UK time on 13th May 2025Interviews are expected to take place on the 28th May 2025.Our strategy and missionWe recently launched our to 2030 tying together our mission, vision and values.The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives - particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.xc2xa338,249 to xc2xa355,755. Grade: I - K

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