Researcher - Neurodiversity and AI Learning Support

Researcher – Neurodiversity & AI Learning Support Position: Researcher (Education & Cognitive Accessibility) Timeline: Immediate Start / ASAP - someone who can overlap with both UK and US time zones (NYC) Type: Contract / Project-Based Project Overview We are seeking an experienced researcher with a background in education and cognitive accessibility to help us scope a new strategic area. The primary objective is to conduct a comprehensive literature review and research synthesis exploring effective learning support for neurodivergent learners. This research will evaluate what successful support looks like, identify common barriers, and analyze how these principles translate to AI-driven and multimodal learning tools. Key Responsibilities

• Literature Review & Synthesis: Conduct a thorough review of existing literature regarding learning support for neurodivergent and SEND (Special Educational Needs and Disabilities) learners.
• Barrier Analysis: Identify and document what gets in the way of effective learning for these populations.
• Technology Translation: Analyze how effective support mechanisms and existing barriers map onto the design and deployment of AI and multimodal learning tools.
• Scoping & Strategy: Leverage the synthesized research to help our team define and scope a new product or research area. Required Qualifications
• Education: Postgraduate qualifications (or equivalent applied research experience) in Learning Sciences, Educational or Cognitive Psychology, Special and Inclusive Education, or HCI (Human-Computer Interaction) and Accessibility.
• Domain Expertise: Demonstrated research experience with neurodivergent or SEND learners, supported by published academic papers or applied industry work.
• Methodological Skills: Proven track record of independently designing and executing comprehensive literature reviews or evidence syntheses. Preferred Qualifications
• Industry/Consulting Experience: Experience writing research analyses or proposals in a consulting or corporate context.
• EdTech/AI Familiarity: Research experience or strong familiarity with Intelligent Tutoring Systems (ITS) or AI applications in education.
• Framework Knowledge: Strong working knowledge of frameworks such as Universal Design for Learning (UDL).