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8 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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modelling and dynamic material planning and production and scheduling into an actionable decision-support toolkit; Embedding explainable AI to ensure planners and engineers understand, trust, and use
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-level rise and intensified storm activity driven by climate change. In many of these regions, engineered coastal protection infrastructure is limited, creating an urgent need for cost-effective and
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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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an approachable and highly experienced research team. You will explore cutting-edge topics in specification-driven development, large language models, and AI-assisted software engineering. Your job As a PhD
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to information. We work on search engines, on recommender systems, and on conversational assistants. There is a heavy emphasis on data-driven methods, for understanding content, for analyzing and predicting user
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a Research Infrastructure? No Offer Description This position is part of HEPARD MSCA European funded doctoral network (https://cordis.europa.eu/project/id/101226455 ). The project is training early
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motivated Research Engineer skilled in computational modeling and basic laboratory techniques to join our dynamic laboratory team. We are working on multiple tissue engineering projects for improving human
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and explainable AI models for Medical Imaging and aid Medical Diagnosis, Digital Health and Well-Being with AI. Introducing virtual twin-driven AI models for medical diagnosis of a variety of diseases
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Assistant Professor, you will: Conduct research in the field of networked systems, focusing on distributed control, optimization, and data-driven modelling. Develop innovative methods for modelling, control