Research project/Challenge

This project will investigate how and in what contexts Generative AI can meaningfully contribute to human learning. The successful candidate will design and implement a multimodal evaluation framework to assess GenAI-assisted learning, combining objective metrics derived from behavioural and electrophysiological measurements. These metrics will be used to quantify the impact of GenAI support during learning in controlled experimental scenarios. A key component of the project is to explore how individual traits (particularly those associated with neurodiversity, such as autism spectrum disorder) modulate the effectiveness of GenAI tools. This work aims to determine whether these technologies can enhance learning for certain neurodiverse populations or, conversely, pose risks of adverse effects. The project sits at the intersection of neuroscience and AI, with the potential to inform both fields. The postdoctoral researcher will gain expertise in experimental design, neural and behavioural data analysis, and AI-driven educational technologies, developing a skill set highly relevant to careers in academia and industry, especially in neuroscience, neural engineering, and AI applications.

About the role

• • Have a high-valuable impact to the project through the implementation of technical solutions to the project goals, in particular the behavioural and neurophysiology experiments for measuring the neural processing of trust
• • Enhance your reputation through publishing in top-quality journals and conferences in collaboration with team members
• • ADAPT’s Research Development Team will help you develop your ideas into projects and establish a strong funding track record
• • Collaborate with other team members across different universities (e.g., Prof. Ben Cowan, UCD; Prof. Claire Gubbins, DCU) and industry, acquiring substantial expertise in how to lead an interdisciplinary academia-industry collaboration
• • Contribute to the development of the next generation of thinkers and innovators through teaching and supervision activities (an appropriate plan will be discussed with  the supervisor before the start of the position)
• • You will have the opportunity to nationally and internationally present and represent the groundbreaking research carried out by you and the research team
• • You will develop as a researcher through access to a wide training & development opportunities
• • You will build a strong network through opportunities to liaise with internal and external stakeholders, including industry and academic partners/collaborators.
• • Involvement with all aspects of the project lifecycle

Minimum qualifications:

PhD or equivalent in computer science/engineering, neuroscience, or other relevant fields

Preferred qualifications:

• • Machine learning, especially time-series analysis, LLM, and speech processing
• • Signal processing, especially neural data analysis (especially EEG or MEG)
• • Prior experience running EEG experiments (or other similar technologies)
• • Experience in psychoacoustics/psycholinguistics or other related areas

Application Process

• • • A personal letter of motivation, indicating why you wish to conduct this research project offered by ADAPT, and why you expect that you will be able to complete the research successfully;
• • • Detailed curriculum vitae, including – if applicable – relevant publications

Interested candidates can submit their application via this link or to [email protected] 

Informal enquiries about the role can also be sent to, [email protected].

Please download full job spec. Closing date is 01 February 2026, late applications will not be accepted.