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Discovery Internship: AI Assistant Developer Intern (Viz Box Ltd)

Details


1104782


Liverpool John Moores University


02/02/2026


Other - See Job


This internship will run for 100 hours


Smart Casual

Pay


£12.83


£1.55

Description

Role
This role is based within the Digital Health and Rehabilitation Technology team at Viz Box Ltd, a UK-based company developing advanced virtual reality and AI-powered solutions for stroke rehabilitation. The department integrates neuroscience, clinical insight, and emerging technologies to create engaging, evidence-based digital tools that aid recovery and enhance independence for stroke survivors.

 
This project offers an opportunity for students to contribute to an innovative digital health solution that combines AI technologies, secure cloud infrastructure, and rehabilitation science. The internship will support the development of an AI personal assistant for stroke survivors, which provides motivational support, cognitive reminders, and rehabilitation engagement features. 
 
Purpose of the Role: 
The internship supports the development of a prototype AI personal assistant designed to help stroke survivors manage their day-to-day rehabilitation journey. The assistant will offer motivational support, task reminders, and personalised recovery insights, integrating AI, secure cloud systems, and immersive digital interfaces.
 
The intern’s contributions will feed directly into a live digital health initiative at Viz Box Ltd, aligning with the organisation’s wider mission to enhance stroke recovery and independence through virtual and AI-driven methods. The project will expose the student to research and development processes used in real-world clinical technology innovation, including user-centred design, ethical data handling, and human-AI interaction.

Duties and responsibilities
Main Duties and Responsibilities:

  • Contribute to the design and development of AI assistant features for stroke recovery support.
  • Assist with backend development, data handling, and API integration using AWS and secure architectures.
  • Support development of app and web interfaces for multi-user interaction and data visualisation.
  • Explore integration of speech, avatar, and animation features using third-party tools or Unreal Engine to create engaging user experiences.
  • Work with the research and clinical teams to ensure the assistant aligns with rehabilitation goals and user needs.
  • Test prototypes and contribute to documentation, including data protection and usability considerations.

Desirable Skills: 

  • Familiarity with AI/machine learning frameworks (e.g., Python, TensorFlow, or OpenAI API).
  • Understanding of secure data management and cloud deployment (AWS). Knowledge of text-to-speech, natural language processing, or avatar technologies.
  • An interest in digital health, neurorehabilitation, or patient-centred innovation.

Skills and experience
Applications are encouraged from students studying: 

  • Computer Science, Artificial Intelligence, or Software Engineering 
  • Data Science or Cybersecurity 
  • Digital Media, Games Development, or Interactive Systems 
Subject Knowledge and Understanding: 
  • Good understanding of artificial intelligence concepts, including natural language processing or machine learning.
  • Understanding of data security principles and ethical handling of personal or health-related data.
  • Familiarity with mobile application or web development frameworks and version control tools. Interest in healthcare innovation, neurorehabilitation, or assistive technology. 

Key Skills and Abilities: 

  • Technical problem-solving: Ability to approach coding, integration, and data challenges creatively and systematically. Collaboration and communication: Comfortable working with a Stroke Survivor group team to combining technology, research, and healthcare expertise. 
  • Learning agility: Willingness to explore new technologies such as text-to-speech, avatar creation, or Unreal Engine to enhance user engagement. 
  • Attention to detail: Capable of testing, documenting, and refining prototype features with precision.
  • User-centred mindset: Appreciation of accessibility, empathy, and inclusion in design for individuals recovering from stroke. 

Experience (Desirable, not essential): 

  • Prior coursework or projects involving AI, chatbots, or interactive media applications. Experience deploying web or app-based applications, preferably using AWS or similar platforms.
  • Exposure to UX design or human-computer interaction principles.

Location
CH411EU

Additional information
Additional information the programme may need to know: 

  • The project involves patient interaction design and secure data handling, so confidentiality and ethical development are key priorities.
  • The AI assistant development aligns closely with public health and social impact objectives, supporting neurorehabilitation innovation within the UK.
  • Supervisory support and regular mentoring will be provided by the Digital Health and Rehabilitation Technology team, ensuring a strong educational and technical learning experience.

***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***

Download application form 

Applications close at 11:59pm on Sunday 14th December.

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