You will play a senior technical role in the development of wearable sensing hardware and embedded AI for human-centred industrial applications. The role focuses on industrial-grade surface electromyography sensors, multimodal AI, and adaptive human–machine interfaces designed to improve worker safety, wellbeing, and productivity in real manufacturing environments.
You will lead technical contributions to wearable hardware and embedded AI workstreams, with a strong focus on the design and validation of robust, low-latency wireless data transmission for multi-device shopfloor deployment. You will also support the optimisation and embedded deployment of real-time gesture recognition models, and contribute to the field validation of complete wristband prototypes.
We are seeking a senior, self-directed researcher with strong expertise in wearable electronics, biosensor hardware, embedded systems, and wireless communication. You will be expected to take technical ownership of a hardware-focused workstream, from specification and design through to prototyping, testing, validation, and delivery.
The role is centred on wearable electronics hardware and embedded systems. You will focus primarily on sensor and circuit design, low-noise signal acquisition, embedded firmware, power management, wireless data transmission, hardware integration, and on-device AI deployment.
At the University of Liverpool, we are committed to delivering world leading research and education that has real global impact. The Department of Electrical Engineering and Electronics at the University of Liverpool is a dynamic and research-active department with a strong reputation for excellence in teaching, innovation and industry engagement. We offer a supportive and collaborative environment, bringing together expertise across areas such as electronics, communications, control, analytical instrumentation, robotics, energy systems, AI and emerging technologies. The School of Computer Science and Informatics provides a vibrant, collaborative research environment, bringing together expertise across artificial intelligence, robotics, embedded systems, and engineering disciplines. The University has recently invested £12 million in new AI and robotics laboratories.
Join us and you’ll be part of a supportive and collaborative community. For more information visit our why work here web pages:
If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7, spine point 31.
Commitment to Diversity
The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian, or Minority Ethnic backgrounds, individuals living with a disability, and members of the LGBTQIA+ community.
For full details and to apply online, please visit:
£39,906 to £46,049 per annum
Research Associate in Wearable Electronics and Embedded AI – Grade 7 in Liverpool employer: Economicsnetwork
Join the Faculty of Science and Engineering at the University of Manchester, where you will be part of a vibrant team dedicated to pioneering research in quantum materials. With a strong commitment to employee development, we offer generous benefits including a substantial pension contribution, 29 days of annual leave, and access to world-class research facilities, all within a collaborative and inclusive work culture that values diverse perspectives.
