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Field
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(PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and
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projects, collaborative research networks or public engagement activities. Extensive experience of applying and/or developing and devising successful models, techniques and methods Experience designing
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contributing to competitive research grants or funding applications demonstrated ability to develop collaborative research partnerships and stakeholder networks experience supervising, mentoring, or supporting
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; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Previous experience demonstrated in developing components for Data Spaces; - Demonstrated experience in a professional context. 5
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support funding annually (refer to Fellowships categories for eligibility and details ), as well as: Access to RMIT’s research facilities and interdisciplinary networks; Mentoring; Access to researcher
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research. Strong relationship-building skills, with the ability to engage clinicians, researchers, health services and research networks. Excellent communication and collaboration skills, with a proven
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generation of expressive digital musical instruments. You will design, develop, and evaluate algorithms for detecting tactile interactions with objects and mechanisms using high-fidelity hand-worn motion
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well as: Access to RMIT’s research facilities and interdisciplinary networks; Mentoring; Access to researcher development programs to discover new pathways to impact; and Supported and flexible workplace – RMIT is
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thematic network that ROADS is closely connected to. The project ROADS offers the first systematic study of residual road infrastructures in Northern Fennoscandia—roads and pathways that have fallen out
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communications, non-terrestrial and UAV networks, physical layer security, quantum-enabled communications, semantic and AI-native wireless systems, and energy-efficient/low-power communication. Our vision is to