Working closely with multidisciplinary teams to develop and apply CFD codes across diverse application areas, such as environmental flows, hydrodynamics, turbulent flows, and dispersion modelling.
Develop a unified multimodal detection pipeline that integrates video, audio, and text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and scene-graph inference.
PhD degrees in Mechanical Engineering, Electrical Engineering, Mechatronics and Robotics with specialisation in automation and manufacturing systems, or related disciplines
Develop cross-domain ontology alignment methods to unify terminology and schemas across data sources (e.g. engineering and supply chain), including handling conflicting industry standards
Support multimodal and longitudinal data modelling where patient histories, lab trends, medications, notes and care plans need to be represented over time.
Own and maintain data pipeline infrastructure across iCORE’s data workstreams, including pipelines supporting iCORE dashboards built on SAP ERP, Snowflake, and Power BI.
Strong software development skills in C++ and Python. Hands-on experience with system design, modular architecture, and interfacing between multiple components.