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. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. About the
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doctoral degree (PhD. in Computer Science). Start date: Spring 2026. Project Description This PhD project explores the foundations of tractable probabilistic models, i.e. machine learning models that support
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preparation (for example, questionnaires, interviews, etc) and processing (for example, machine learning etc) for the DSS, with related documentation. In OPTIX, contributing to the digital twin models
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We invite applications for a Doctoral student position in applied mathematics and machine learning for urban 3D reconstruction, within the Digital Twin Cities Centre (DTCC). The project aims
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for modelling various cognitive processes on a neuroscientific basis, which are tested using robots. Areas of study include perception, memory, learning, cognitive development, attention, motor control and
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for the responsible integration of AI in education. You will work in an interdisciplinary research environment spanning human-computer interaction, intelligent tutoring systems, learning analytics, and education, in
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research agenda covers a gamut of security and privacy problems, both from an offensive as well as a defensive perspective especially along two themes: “Platform security and application”s and “Machine
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to the forefront of quantum technology, and to build a Swedish quantum computer. Building a quantum computer requires a multi-disciplinary effort involving experimental and theoretical physicists, electrical and
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activities are summarized here: https://www.eecs.kth.se/nss . Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the
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that include machine learning components, and on cooperation with industrial partners and with the TECoSA competence center at KTH. The Division of Network and Systems Engineering conducts fundamental research