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engineering programs and master's programs. More information is available on our website. Duties Applications are sought from highly motivated PhD candidates to work in a project aimed at developing sustainable
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. This project aims to address these challenges through the development of adaptive learning frameworks for non-stationary environments. In particular, we focus on continual learning, where models are updated as
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students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website . At the Division of Systems and Control, we develop
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prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
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transport in solid‑state polymer electrolytes for Li‑ion batteries. The research will focus on developing new and computationally efficient strategies for multiscale modelling, enabling systematic studies
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focuses on leveraging zebrafish as a model organism to develop and optimize genetic tools through a directed evolution pipeline, with significant therapeutic and industrial applications. Key
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syntheses, analyzing compounds using modern spectroscopic and structural techniques, and interpreting experimental data. The candidate is also expected to contribute to the development of new research
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systems, statistical physics and machine learning, and using these insights to develop new methods, with the support of competent and friendly colleagues in an international environment? Are you looking
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing methods to quantify uncertainty
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consists of experienced supervisors, and the project idea will be developed together with them. It is therefore important that the PhD candidate has a strong interest in one or more of the areas listed above