All Locations
Poole House (Bournemouth - Talbot)
All Departments
Computing and Informatics
Advertising Salary
Salary from £26,093 - £28,778 per annum (pro rata) with progression opportunities to £31,236
Vacancy Type
Fixed Term
Research
Closing Date
01 Mar 2026
Basis
Full Time

About the role

The School of Computing & Engineering is seeking to appoint a talented and enthusiastic Research Assistant who will be affiliated with its Data Science & Intelligent Systems group. 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.

The researcher will join the EU-funded ARTEMIS project, under the direction of Prof Hamid Bouchachia, working towards the development of machine learning and AI methods with application in the medical field. The position will be suitable for any master’s degree first-degree in ML and AI.

The successful candidate will investigate and develop federated learning algorithms for both scalable and privacy-guaranteed clustering and classification. The focus is mostly on longitudinal multimodal data (involving imaging, clinical, biology and multi-omics data), where representation learning and multi-modal data fusion are of key importance. The exact boundary of the research work will cover any of the listed aspects in a way to contribute to the delivery of the project by conducting relevant research leading to publishable outputs.

 The role of the Research Assistant is to contribute to the delivery of the project in terms of planning, designing, and conducting research leading to published outputs and exploitable results.

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.

 

 This post is available on full time fixed term basis for 6 months from March 2026.

 For further information about the position, please contact Prof Hamid Bouchachia at [email protected].

This position does not meet the eligibility requirements for sponsorship under the Skilled Worker Route within the UK Visa and Immigration service’s Points Based System.  Therefore, BU will not be able to sponsor individuals who require permission to work to carry out this position. For more information, please visit https://www.gov.uk/skilled-worker-visa/your-job.

About the department

Our vibrant Faculty of Media, Science & Technology encompasses a wide range of disciplines across four Schools: the School of Computing & Engineering, the National Centre for Computer Animation, The Media School and the School of Psychology. The breadth of subject areas in the Faculty means our cutting-edge research is delivering real benefits to digital creative industries, simulation domains, cyber security, human centred artificial intelligence, cognitive science and many others. Our staff base includes high profile researchers who are involved in both UK and global consortia of externally funded collaborations, furthering knowledge in the aforementioned areas plus many more, thus providing significant impact to the economy as well as society and, ultimately, the quality of living across the globe.

About us

Bournemouth University’s vision is worldwide recognition as a leading university for inspiring learning, advancing knowledge and enriching society through the fusion of education, research and practice. Our highly skilled and creative workforce is comprised of individuals drawn from a broad cross section of the globe, who reflect a variety of backgrounds, talents, perspectives and experiences that help to build our global learning community.

BU values and is committed to an inclusive working environment.  We seek a diverse community through attracting, developing and retaining staff from different backgrounds to contribute to inspirational learning, advancing knowledge and enriching society.  To support and enable our staff to achieve a balance between work and their personal lives, we will also consider proposals for flexible working or job share arrangements.

A job description for this position is available at the top of this page. If you require this in a different format, please contact us at [email protected].

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