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.
The Post Doctoral Research Assistant will be affiliated with the Data Science & Artificial Intelligence 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.
The position holder will undertake directed research activity as part of an EU project called ExtremeXP (Experiment driven and user experience-oriented analytics for extremely precise outcomes and decisions) under the direction of Professor Hamid Bouchachia. The project will develop Scenario-driven and opportunistic machine learning with the aim to (1) design and develop AutoML mechanisms for performing scenario-based algorithm and model selection considering on-demand user-provided constraints (performance, resources, time, model options), (2) devise mechanisms for continual learning in algorithm and model selection: as new data sets become available, the so-far learned selection strategies are continuously adapted.
We are seeking to appoint a talented and enthusiastic PhD holder or equivalent with excellent analytical, programming, communication and scientific writing skills, who will contribute to the delivery of the project (planning, designing and conducting the proposed research and producing published outputs) as well as provision of project management co-ordination and administrative support. Candidates must have strong analytical background in Machine Learning preferably with good exposure to Meta-learning, Continual Learning, AutoML, Scalable ML and Trustworthy AI. The project will target new and original ML algorithms and strategies leading to exploitable constraint-aware ML and analytics services.
This position is available on a fixed-term basis until 1 November 2025.
Please append to your application form a 1 to 2-page motivation letter followed by a CV (including publication list).
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.