Senior Research Fellow in Full-Stack Engineering

Join a pioneering team shaping the future of advanced Battery Management Systems (BMS) for electric vehicles and energy storage.

The post holder will be a member of the Architectural Engineering Group at Oxford Brookes University. This is a senior strategic role at the intersection of software engineering and applied research. The successful candidate will architect and develop battery intelligence platforms, enabling real-time monitoring, prognostics, and optimisation of battery systems deployed in battery-powered energy systems. System development and securing external funding and publishing papers in peer-reviewed Journals are key to the role.

You will be responsible for:

• Design and implement full stack battery intelligence platforms, including: Cloud infrastructure (AWS/Azure/GCP), Backend systems and APIs for battery telemetry ingestion and analytics, Frontend dashboards for real-time monitoring, diagnostics, and fleet intelligence, Database architecture supporting large-scale time-series battery data.
• Develop scalable, secure, and production-grade software systems supporting industrial deployments.
• Integrate embedded BMS firmware, edge computing devices, and cloud analytics pipelines.
• Implement AI-driven diagnostics and battery state estimation algorithms.
• Collaborate closely with industry stakeholders to co-develop next-generation battery control solutions, supporting commercialisation and industrial integration.
• Provide expert-level technical and research support to the Architectural Engineering Group.
• Contribute to ongoing research projects, funding applications, and spinout activities, including technical planning and delivery.
• Produce high-impact research outputs (journal publications, conference papers, and technical reports).
• Present research results at conferences, consortium meetings, and industrial forums.
• Engage in knowledge exchange, contributing to grant writing and collaborative partnerships both internally and externally.
• Undertake a small amount of teaching and assessment and supervision of projects / dissertations for UG students.
• Coach and mentor PG/ PhD students and where appropriate gain experience of PhD supervision.

You should have:

• PhD in computer science, software engineering, Embedded Systems, Artificial Intelligence / Machine Learning, data science, or closely related disciplines or significant practical/industrial experience.
• Significant postdoctoral or equivalent industrial experience demonstrating research and technical excellence.
• Strong expertise in: Backend development (Python, Node.js, Go, or similar), Frontend frameworks (React, Vue, or equivalent), Cloud infrastructure (AWS, Azure, or GCP), Database systems (SQL, NoSQL, time-series databases), and API architecture and distributed systems.
• Experience integrating hardware, IoT devices, or embedded systems with cloud platforms.
• Strong portfolio of publications in peer-reviewed journals or equivalent industry innovation output.
• Demonstrated ability to lead projects, teams, or major technical initiatives.
• Proven ability to secure or contribute to research funding proposals.
• Ability to lead technical projects and contribute to multidisciplinary teams.
• Strong written and verbal communication skills, including the ability to communicate complex technical concepts clearly.
• Ability to work independently with a high level of initiative and responsibility.

Benefits:

As one of the largest employers in Oxford we pride ourselves in the great experience we offer our staff. You’ll be joining a friendly, professional environment where every member of staff is recognised as important to the success of Oxford Brookes University. To find out more about the benefits of working for Oxford Brookes please visit: www.brookes.ac.uk/job-vacancies/working-at-brookes.

Equality, diversity and inclusion:

At Oxford Brookes, inclusivity is one of our five guiding principles: we take positive steps to create an environment in which we celebrate, value and provide equal opportunity to all. We are committed to recruiting from the widest possible pool and welcome applications from all suitably qualified candidates who embrace our values, regardless of their background.

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