PhD Studentship: AI for Clinical-grade Mobile Mental Health Management

Project overview

This PhD research project aims to develop an AI-driven intervention for mobile mental health management. By leveraging the capabilities of LLMs and digital health technologies, it addresses critical gaps in traditional emotion regulation therapies, ultimately improving mental health outcomes for young adults.  The primary outcome of this research is the development of a robust, personalized AI-guided intervention for emotion regulation.

Participating in this project will provide a PhD researcher with a unique opportunity to delve into cutting-edge AI applications within the healthcare sector. Not only will it enhance ML skills but also imbue with a deep understanding of the ethical, privacy, and clinical implications of AI in healthcare. PhD researchers will be well-prepared to contribute to the advancement of personalized medicine, potentially leading to breakthroughs in predictive healthcare and treatment optimization.

The Research environment

will be highly diverse, stimulating and multi-disciplinary. Imperial is consistently ranked in the top 10 of university world rankings; it has the highest proportion of world-leading research. Our host Department (Department of Computing) is the top-ranked Computer Science Department in the country by a substantial margin, and the Faculty of Engineering is the top-ranked engineering school in the 2021 REF.

The project is embedded in UKRI AI Centre in Digital Healthcare: https://ai4health.io/training/

The studentship

It covers the Home/UK PhD tuition fees, an annual bursary (UKRI rate £21,237 for 2024-25) per year, for at least 3 years, with option to extend to max 4 years, subject to satisfying progress requirements. Students will also have the opportunity of attending leading AI conferences.

UK home rate students are candidates with unrestricted access on how long they can remain in the UK (i.e. are a British National, have settled status or indefinite leave to remain etc.).  A student’s Tuition Fee status is determined by the university’s Registry at the point of application.

Entry requirements and start date

Successful applicants will normally have achieved a First Class (4-year) Undergraduate degree and Distinction level Master’s degree or equivalent degrees in a relevant scientific or technical discipline, such as computer science, engineering (mechanical, electrical, biomedical engineering), mathematics, physics, statistics, as well as biological sciences, or medicine. Expected core skills include mathematics, programming, statistics, or data science. We would like to encourage students from groups that are currently underrepresented in postgraduate science research to apply, including black and minority ethnic students and those from a socio-economically disadvantaged background.

Anticipated start date is up to 13 January 2025

Contact: Centre Manager: Britta Ross, b.ross@imperial.ac.uk

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