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PhD Studentship: Federated Clustering of Multi-modal Data

Bournemouth University

Qualification Type: PhD
Location: Bournemouth
Funding for: UK Students, EU Students, International Students
Funding amount: £18,622 maintenance grant per annum
Hours: Full Time
Placed On: 1st March 2024
Closes: 21st March 2024

Faculty Name: Faculty of Science and Technology

Funding amount: £18,622 maintenance grant per annum

Lead Supervisor name: Prof Hamid (Abdelhamid) Bouchachia

Project description

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.

What does the funded studentship include? 

A fully-funded Studentship includes a maintenance grant of £18,622 per year to contribute towards living expenses during the course of your research, as well as a fee waiver for 36 months. Associated costs, such as for fieldwork and conference attendance, will also be met under the Studentship. 

Eligibility criteria 

The BU PhD and MRes Studentships are open to UK, EU and International students. Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:

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

  • An IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent) for candidates for whom English is not their first language and this must be evidenced at point of application. 

Additional Eligibility: 

In addition to satisfying minimum entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful completion. 

Applicants will be asked to submit an online application form and a proposal (approximately 1500 words) outlining their understanding of the project for which they are applying, the approach they would envisage taking and what qualities they will bring to the research community. 

Closing date: The closing date for applications is 21/03/2024

For further information on how to apply click the ‘Apply’ button above or email pgradmissions@bournemouth.ac.uk

Apply now: https://www.bournemouth.ac.uk/study/courses/phd-studentship-federated-clustering-multi-modal-data?utm_source=studentship-2024&utm_medium=jobs-ac-uk&utm_campaign=external-listing&utm_term=fst-phd

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