Post Doctoral Research Assistant

We are seeking talented and enthusiastic candidates with a PhD to join the EU-funded PRESERVE project, under the direction of the Principal Investigator, , working towards the development of machine learning and data mining, and AI methods with application in Computer Vision (video and image processing), Speech Recognition (audio) and Natural Language Processing (text). 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 foundation models, deep learning architectures, federated learning, data fusion) and essential knowledge about ML frameworks and pipelines as well as computer systems.
The successful candidate will need to be knowledgeable in one of the listed areas and will investigate and develop scalable and privacy-guaranteed novelty detection, clustering and classification. The focus is mostly on foundation models that involve multiple modalities of data (text, video, audio, image), where transferability and robustness of such foundation models are key questions. Other elements of foundation models such as transparency and reasoning are also of relevance too. However, the exact boundary of the research work for this position will be limited to one of the listed aspects based on the background of the candidate in a way for them to contribute to the delivery of the project by conducting relevant research that leads 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.
About the department
Our vibrant Faculty of Science & Technology encompasses a wide range of disciplines across six departments: Archaeology & Anthropology, Computing & Informatics, Creative Technology, Design & Engineering, Life & Environmental Sciences, and Psychology. The breadth of subject areas means our cutting-edge research is delivering real benefits to the environment, our economy, health and improving cyber security. Our staff are given the opportunity to travel the world to contribute their expertise to expeditions and projects being led by other academic institutions and private organisations, as well as taking the lead on their own research projects, is helping us to understand our past, protect and preserve our environment for the future and support creative and digital industries to grow and develop., The research associate 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.

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.