We are seeking talented and enthusiastic candidates to join the EU-funded ARTEMIS project, working towards the development of machine learning and data mining, and AI methods with application in the medical field. The position will be suitable for any profile in computer science, engineering, mathematics, statistics or from other science disciplines with knowledge in machine learning and AI (specifically federated learning, data fusion and clustering) and basic knowledge of computer systems.

The successful candidate will investigate and develop federated learning methods for both scalable and privacy-guaranteed clustering and classification. The focus is mostly on longitudinal multimodal data (potentially involving imaging, clinical, biology and multi-omics data), where representation learning, and data fusion are of high importance. The exact scope of the PhD work/project will be tailored, depending on the candidate’s profile in a way to contribute to the delivery of the project by conducting relevant research leading to publishable outputs.

The researcher will have access to funding for international travel, e.g., for attending conferences, attending the consortium meetings, and research dissemination, while working in a supportive, collaborative, inclusive and non-discriminating working environment. We welcome candidates from all backgrounds to apply.

The researcher will be affiliated with the Data Science & Intelligent Systems based at the Computing & Informatics Department. The group is very dynamic, ambitious, well networked and delivers state-of-the-art research in a range of machine learning and data science topics, publishing research results in prestigious venues.

This is a fully-funded PhD studentship which includes a stipend of £18,622 each year to support your living costs. 

This project is conditional upon the funding being secured. 

Key information

Next start date:

April 2024


Bournemouth University, Talbot Campus


36 months

Entry requirements:

Outstanding academic potential as measured normally by either a 1st class honours degree or equivalent Grade Point Average (GPA), or a Master’s degree with distinction or equivalent. If English is not your first language you'll need IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent). For more information check out our full entry requirements