PhD Studentship - Federated clustering of multi-modal data

Program Overview

This EU-funded PhD program focuses on developing federated learning methods for clustering and classification of longitudinal multimodal data, particularly in the medical field. The program includes a stipend, fee waiver, international travel funding, and access to research and development programs. The research will be tailored to the candidate's profile and aims to contribute publishable research outputs.

Program Outline

The program emphasizes representation learning and data fusion. The exact scope of the PhD work/project will be tailored to the candidate's profile, ensuring contributions to the project through publishable research outputs.

Careers:

A research degree can open new career opportunities in commercial research and development, consultancy, or could lead you to starting your own business. You may alternatively consider a career in academia. You may wish to undertake research to contribute to your knowledge of a specialist subject, or develop your employability by enhancing your skills in project management and analysis.

Other:

• The program is part of the EU-funded ARTEMIS project, focusing on machine learning, data mining, and AI methods with applications in the medical field.
• The researcher will have access to funding for international travel, including attending conferences, consortium meetings, and research dissemination.
• The researcher will be affiliated with the Data Science & Intelligent Systems group at the Computing & Informatics Department, known for its dynamic, ambitious, well-networked research in machine learning and data science.
• The program offers a stipend of £18,622 per year to support living costs and a fee waiver for 36 months.
• The program includes access to the Research Development Programme, developed by the Doctoral College in line with the Researcher Development Framework (Vitae).
• The program provides opportunities to meet researchers from other academic schools at BU through the activities of the Doctoral College.