Details
1117871
Liverpool John Moores University
19/10/2026
Other - See Job
This interinship will run for 100 hours
Smart Casual
Pay
£13.45
£1.62
Description
Role
***Ringfenced to Level 5 & 6 LJMU students only***
***Applications must be submitted using the application form linked below. Please upload it instead of a CV. Any other method will not be accepted***
Duties and responsibilities
This role supports the development of the Neuro-Hand system, focusing on building and integrating a motorised upper-limbsupport with EEG sensors and AI-driven control. The intern will assist in hardware design, prototyping, system integration andtesting, ensuring safe and responsive movement aligned with rehabilitation principles for neurological conditions such as FNDand Stroke.Working within a multidisciplinary team (engineering, clinicians, and researchers), the intern will contribute to translating aninnovative rehabilitation concept into a real-world solution. The role offers hands-on experience in medical devicedevelopment, human–machine interaction and immersive rehabilitation technologies.
Skills and experience
The internship is suitable for Level 5–6 undergraduate students with an interest in robotics, electronics, or healthcare technology.
Candidates should have:
- Good knowledge of electronics, sensors, microcontrollers, actuators, design and embedded systems.
- Some programming ability, such as Python, C, or C++.
- An interest in robotics, mechatronics, biomedical engineering, EEG, or rehabilitation technology.
- Practical problem-solving skills and an ability to support prototyping, testing, and documentation.
- Good communication, teamwork, attention to detail, and a willingness to learn.
Relevant degree subjects include Robotics, Mechatronics, Electronic and Electrical Engineering, Biomedical Engineering, Computer Engineering, and Embedded Systems. Prior experience with CAD, signal processing, human–machine interaction, or student engineering projects would be advantageous but not essential.
Follow-ups
- What specific tasks will the intern handle on the hardware side
- Which programming languages are expected for the AI integration
- What prior projects benefit candidates applying for this internship
- How does the role contribute to the EEG and AI control loop
- What portfolio examples should undergraduate applicants prepare
Location
CH411EU
Additional information
***Ringfenced to Level 5 & Level 6 LJMU students only***
***Applications must be submitted using the application form linked below. Please upload it instead of a CV. Any other method will not be accepted***
Applications close at 11:59pm on Sunday 27th of September 2026
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