Research Fellow - Applied AI & IoT Cybersecurity

University of Bedfordshire; Luton; On-site; GBP 41,000 - 48,000; Full time

Benefits offered by this job

Generous pension

Annual leave entitlement

Flexible working arrangements

Personal and professional development

Family-friendly policies

Job summary

The University of Bedfordshire in Luton invites applications for a Research Fellow in Applied AI and Cybersecurity to drive the development of a proof-of-concept project combining Wi-Fi telemetry, ML models and cybersecurity tooling. The role focuses on robust software, reproducible experiments and real-world evaluation.

You will collaborate with academics and industry partners, develop Python services and dashboards, and contribute to reports, demonstrations and IP outputs during a fixed-term

Qualifications

• A good honours degree, or equivalent professional experience, in Computer Science, Cybersecurity, AI, Data Science, Electronic Engineering or a related discipline.
• Strong Python software development skills and knowledge of machine learning for anomaly detection or classification.
• Understanding of Wi-Fi/network telemetry and cybersecurity, with practical experience analysing wireless or network data.
• Experience developing end-to-end data or software prototypes and evaluating models on real-world data.
• Ability to manage technical delivery, document findings and collaborate with academic and external partners.
• Experience with local LLMs, edge deployment, RF sensing, Linux, containerisation, APIs or SIEM/SOC integration would be advantageous.

Responsibilities

• Lead day-to-day technical development and integration of a working proof of concept combining Wi-Fi RF telemetry, ML, cybersecurity software and local AI.
• Develop data ingestion, processing and analysis pipelines for wireless telemetry.
• Design, train and evaluate machine learning methods to detect anomalous IoT activity.
• Develop Python-based services, APIs, an accessible dashboard and interfaces with security tooling.
• Test, benchmark and refine the integrated proof of concept with documentation of performance.

Skills

Python

ML for anomaly detection

Wi-Fi telemetry

Cybersecurity

Data pipelines

Linux

Containers

APIs

SIEM/SOC integration

LLMs / edge deployment

Education

Honours degree in Computer Science / Cybersecurity / AI / Data Science or related

Tools

Python

Linux

Docker

APIs

Job description

The University of Bedfordshire in Luton invites applications for a Research Fellow in Applied AI and Cybersecurity to drive the development of a proof-of-concept project combining Wi-Fi telemetry, ML models and cybersecurity tooling. The role focuses on robust software, reproducible experiments and real-world evaluation.

You will collaborate with academics and industry partners, develop Python services and dashboards, and contribute to reports, demonstrations and IP outputs during a fixed-term