To 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 Prof 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 fill the position with a talented and enthusiastic candidate with at least a master’s degree having excellent analytical, programming, communication and scientific writing skills, who will contribute to the delivery of the project by designing, conducting the proposed research and producing published outputs. 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 for 4 months.
This position does not meet the eligibility requirements forsponsorship under the Skilled Worker Route within the UK Visa and Immigrationservice’sPointsBased System. Therefore, BU will not be able to sponsor individuals whorequire permission to work to carry out this position. For more information,please visit https://www.gov.uk/skilled-worker-visa/your-job