This is a fixed-term appointment for 24 months. Join a pioneering team shaping the future of advanced Battery Management Systems (BMS) for electric vehicles and energy storage. We are seeking a highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a university/spinout environment. This is a unique opportunity to work at the forefront of applied research and innovation, helping translate novel control algorithms and hardware prototypes into real-world impact alongside academic and industrial partners. You will be responsible for: Design, prototype, and validate embedded control systems for advanced BMS solutions, using microcontrollers (e.g., Arduino, STM32, ESP32) and industry-relevant hardware platforms. 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. Lead the development of hardware-software integration workflows for monitoring, diagnostics, and control of battery systems. Produce high-impact research outputs (journal publications, conference papers, and technical reports). Present research results at conferences, consortium meetings, and industrial forums. Support supervision and mentoring of PhD and MSc students. Engage in knowledge exchange, contributing to grant writing and collaborative partnerships both internally and externally. You should have: PhD (or strong industrial experience and a Master's degree) in Control Engineering, Power Electronics, Embedded Systems, or closely related disciplines. Proven experience in the design and development of embedded systems, particularly for energy systems or control applications. Hands-on expertise with microcontrollers (e.g. Arduino, STM32), embedded C/C++, and firmware development. Familiarity with BMS development or experience with other complex control systems such as motor drives, power converters, or real-time embedded controllers. Practical experience in system modelling and simulation tools such as MATLAB/Simulink. Exposure to AI/ML techniques, particularly as applied to sensor data, diagnostics, or control optimisation. Proficiency in software development for hardware interfacing, sensor integration, and communication protocols (e.g., CAN, I2C, SPI). Ability to analyse and interpret experimental data using statistical and algorithmic methods. Track record of publications in peer-reviewed journals or conference proceedings. Demonstrated ability to work independently and collaboratively in a multi-disciplinary research and innovation environment. £36,636 rising to £39,906 per annum Jobs.ac.uk. Location : Oxford, Oxfordshire, United Kingdom