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related fields. Strong background in Physics-Informed Machine Learning (PIML), scientific machine learning, or data-driven modeling for engineering systems. Expertise in numerical simulation of multi
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Requirements: PhD degree in Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine
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approaches. Machine Learning in Geotechnical Engineering: Utilising data-driven approaches to model and predict soil-structure interactions or other complex geotechnical problems. Reliability-Based
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electrical engineering discipline area. An emerging profile in research in the Power System discipline area (e.g. small-signal and transient stability). Experience with data-driven modelling and real-time
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Research Fellow - Transport Modelling Job No.: 688348 Location: 533 St Kilda Road, Melbourne Employment Type: Full-time (negotiable) Duration: 12 month fixed-term appointment Remuneration:$118,974
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Postdoctoral Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) works at the intersection of AI-driven automation, self-driving laboratories, and scientific discovery, in close collaboration
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program focuses on AI-driven analysis of multimodal neural data, in close collaboration with leading experimental neuroscience groups at UBC and internationally. Project Recent advances in neuroscience have
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Analysis Department and will develop AI-driven autonomous systems for next-generation transportation and grid applications. The role focuses on advanced control, LLM-based agentic frameworks, and robust
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. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
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with around 32,000 employees, predominantly scientists and engineers. In Singapore, Fraunhofer operates two closely linked but legally independent entities: Fraunhofer@NTU (FSR@NTU) and Fraunhofer