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areas within engineering education; we are particularly interested in those whose research uses machine learning, deep learning, large language models, generative AI, or advanced quantitative methods
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the Hazards, Vulnerability and Resilience Institute (HVRI), Walker Institute of International and Area Studies, and the Center for GIScience and Geospatial Big Data. The Department offers PhD, MS, MA, BS, and
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the university/college community, and apply for jobs. Minimum Qualifications PhD in human-computer interaction, information science, learning sciences, computer science, or a related field, conferred by the start
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their
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The position will investigate knowledge-grounded and neuro-symbolic approaches to large language models and agentic AI for defensive cyber operations. The PhD project will be carried out in close collaboration
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machine learning methods to scientific data (e.g. multivariate analysis, chemometrics, neural networks, classification or regression models); familiarity with large language models (LLMs) and other
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biomedical data types Machine-learning and statistical modelling Mechanistic models of biological systems Python, R or equivalent programming environment Documented knowledge and experience in cancer biology
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, statistical inference and machine learning, with potential applications to practical problems Independent teaching Supporting research work, participation in research projects, and assistance with teaching and
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems