As an ADAPT funded PhD researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically we offer:
The ability to process large datasets has allowed for the rapid advance of speech and natural language processing technologies. Despite a series of recent breakthroughs and success in performing specialised tasks, the field of AI has yet to produce algorithms that can truly understand language as humans do. One solution is to study the most sophisticated “device” that we know of: The human brain.
The present project aims to better understand how our brains transform speech sounds into meaning by studying the brain encoding of speech with machine learning methodologies. The results of this project are expected to have a strong impact across disciplines. The findings on speech processing will contribute to the area of neurolinguistics advancing our understanding of speech processing in health, development, and disease, potentially leading to novel tools for early diagnosis of language-related deficits. Indeed, the novel computer science methodologies for neural data analysis developed during this project will impact the field of cognitive science at large. Finally, the findings may also translate into innovative AI solutions for speech and language communication.
Upon completion of the work, the successful candidate will be an expert in neural data science, speech and language processing, and neurolinguistics. As such, they will be in the position to use AI methodologies to answer cognitive science questions and, vice versa, to use knowledge from neurolinguistics to advance AI solutions. They will be competitive candidates for both academic and industry research positions as well as for high-profile data science roles. Their new expertise in analysing challenging neural data will put them in a position to work in areas involving data with similar complexity, as well as to work in areas such as neural-engineering.
The student will be supervised by Prof Giovanni Di Liberto (TCD; lab website: diliberg.net). The successful candidate will also have the opportunity to interact with experts from different relevant disciplines across the ADAPT institutions and the Trinity Centre Institute of Neuroscience.
Informal inquiries should be directed to Prof Giovanni Di Liberto (email@example.com).
Each application should only consist of
ADAPT is committed to achieving better diversity and gender representation at all levels of the organisation, across leadership, academic, operations, research staff and studentship levels. ADAPT is committed to the continued development of employment policies, procedures and practices that promote gender equality. On that basis we encourage and welcome talented people from all backgrounds to join ADAPT.