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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
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overall interest in AI concepts and methods, in particular human-centred AI, and expertise in formal models and machine learning, as demonstrated by publications and other scientific output. Ideal
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to integrate research in the relevant subject area, subject didactic, and higher education into teaching is also required. documented ability to teach in Swedish or English. In addition to academic
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tenured position as a senior lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in higher education and get the opportunity
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inference, longitudinal methods, survival analysis, regression modeling, machine learning, or prediction modeling are required, as well as experience with statistical software such as R, SAS, or STATA. Prior
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year. You should have knowledge and experience in bridging quantum and classical machine learning, and be fluent in English, both written and spoken. Assesment criteria Qualifications that are considered
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at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with
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to professor. You will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international
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will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff
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on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The specific focus is on development and