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, etc. Duties The appointees will assist the project leader in the research project - “Deep neural networks for precision mental health”. They will be required to: (a) develop AI and geometric deep
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Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks
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three years The candidate will hold primary responsibility for designing novel algorithmic frameworks, coordinating multi-institutional research networks, and translating real-world health data
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. Strong knowledge of signal processing. Extensive experience designing, training, evaluating, and publishing deep neural network models. Strong scientific writing skills. Strong programming skills in python
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research on machine cognition, focusing on how language model agents and related artificial neural network systems represent beliefs and goals. The project will investigate whether such systems represent
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Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and
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their native formats (e.g., NetCDF) is required. Experience with at least one of the following is required: hydrological modelling; land surface processes; climate data analysis; training neural networks
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on Artificial Neural Networks and Gaussian Process modelling, to accelerate processing optimisation. Consolidate experimental, techno‑economic, and sustainability data into robust technical evidence packages
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Centre for Neural Circuits and Behaviour. About the role Further information and applying For informal enquiries, please contact Professor Roberto Mayor, Fellowship Coordinator of CDB ( ) To apply, please
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for publication in scientific journals and/or presentations. May also assist in grant writing. Training of neural network models on HDEMG data. Other duties as assigned. Requirements: Doctorate Degree Are you