Research Software Engineer in Edge Computing and AI for Data Sensitive Application Validation

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

The Role
We are looking for a Research Software Engineer (RSE) with expertise in Edge AI and data-sensitive application validation to join the EdgeAI Hub at Newcastle University a world-class research environment at Newcastle University and contribute to cutting-edge advancements in Edge AI and cybersecurity for real-world impact. As part of the National EdgeAI Hub, you will have the opportunity to work alongside leading academics, collaborate with industry partners, and apply your expertise to groundbreaking use cases in healthcare, transport, energy, and beyond. For more information about the hub's mission and objectives, visit https://edgeaihub.co.uk/.

Your role will be to contribute to Work Stream 5 of the EPSRC-funded National EdgeAI Hub for Real Data, focusing on validating Edge AI technologies in domains such as healthcare, transport, and energy security.

Working across the university and with external partners, including industrial collaborators and academic leaders in Edge AI, you will help investigate, and develop and validate robust, secure, and high-quality software solutions to address real-world challenges in cyber-resilient edge computing. If you are keen to apply your skills to impactful research and want to contribute to the next generation of trustworthy AI systems, we would love to hear from you.

Our team brings together deep expertise in software engineering, distributed systems, machine learning, and cybersecurity. We work across disciplines; from healthcare predictive models for urban air quality to designing real-time anomaly detection tools for edge devices. You will contribute to open-source tools, engage with stakeholders, and support the development of innovative edge computing validation methodologies.

In order to be successful, you will have (or be close to completing) a PhD in a relevant field and demonstrable experience in one or more areas such as real-time data validation, anomaly detection, cybersecurity, or distributed AI systems. We welcome candidates with experience in edge data pipelines, sensor data processing, and AI-based forecasting or classification.

We particularly encourage applications from candidates with experience in:

• Edge AI system development or validation
• Probabilistic forecasting and clustering
• Cybersecurity for distributed systems
• Collaborative and interdisciplinary research

We welcome applicants from both academic and software development backgrounds who can complement or extend the team’s expertise.

Informal enquiries may be addressed to: Professor Phil James: philip.james@ncl.ac.uk, Dr Ellis Solaiman: ellis.solaiman@ncl.ac.uk, Professor Raj Ranjan: raj.ranjan@newcastle.ac.uk.

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