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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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integrating modeling, machine learning (ML), and advanced control methodologies. The research will focus on designing AI-driven algorithms to assess battery health, predict degradation trends, and optimize
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical Engineering at Aalto University explores synergies
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for defense, aerospace, and critical infrastructure. Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security. Experimental
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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to detect structural anomalies, predict maintenance needs, and optimize inspection schedules to ensure the safety and longevity of critical infrastructures. In a generic way, the candidate will address
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Job Description In the context of Industry 4.0, predictive and prescriptive monitoring are among the key tasks enabling the anticipation and prevention of errors, thereby reducing maintenance costs
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns
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understand and predict the behaviour, health and biodiversity of animals. Together, the PhD candidates strive for a better understanding of the ‘digital physiology’ of animals: how behaviour, , pathogens
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California State University, Long Beach | Long Beach, California | United States | about 13 hours ago
and safety prediction, automation and robotics in construction processes, computer vision in the AEC industry, emerging technologies, predictive analytics, prefabrication and modular construction