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, wearable devices, and human movement. The ideal candidate will demonstrate experience conducting interdisciplinary research with healthy or clinical populations that applies AI models to predict relevant
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27th April 2026 Languages English English English The Department of Structural Engineering has a vacancy for Two PhD positions in “Micromechanics-based modelling of ductile failure in high-strength
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aging. The main task is to develop methods for predicting health outcomes using dynamic and adaptive modeling whilst addressing computational challenges the analysis pose. This will contribute
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with semi-analytical predictive models, to establish new physical principles for designing high-efficiency, low-noise multi-rotor configurations. You will have access to state-of-the-art facilities
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is a great opportunity to gain a deeper understanding of what it takes to process data and build and evaluate predictive models. This position will be full-time for approximately 37.5 hours per week
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- specific predictive models, the lack of explainability in AI-driven decision processes, and the difficulty of capturing long-term dependencies in time-series data. In this project, you will focus
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, health and environmental stimuli jointly determine how animals function, adapt and contribute to ecosystems. PhD: Development of AI Models for prediction of resilience and susceptibility infectious
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focuses on advancing data-driven and model-based methods for fault detection, predictive maintenance, and process monitoring. The successful candidate will conduct research in data-driven and model-based
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Hospitality performance and revenue optimization Tourism analytics and predictive modeling Sustainable tourism and community engagement Technology, AI, and smart destinations Indianapolis provides a living
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sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis from plant-based sensors, multispectral and thermal imagery, and