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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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engineering or related discipline. Knowledge, Skills and ExperienceKnowledge of research methods relevant to urban resilience, infrastructure systems, Life Cycle Assessments or data-driven modeling. Proficiency
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. Responsibilities span from high-performance computational modeling and data-driven risk assessments to the publication of scientific findings and the mentoring of graduate students, contributing to both
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and evaluation activities across the Centre, in accordance with the Theory of Change and evaluation protocols Undertaking evidence reviews Promote equality and value diversity, acting as a role model
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
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Position Summary: The University of Dayton Research Institute's (UDRI) Additive Manufacturing Technology Development (AMTD) group is seeking an engineer/scientist to drive and manage research in