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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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the Ph.D. Our recent works on AI privacy and security: Practical Bayes-Optimal Membership Inference Attacks, NeurIPS 2025, https://arxiv.org/pdf/ 24089 Secure Aggregation is Not Private Against Membership
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Technology, located on the river Motala Ström at Campus Norrköping. You can read more about Norrköping here: https://visit-norrkoping-se.translate.goog/bo-studera-och-etablera?_x_tr_sl=sv&_x_tr_tl=en&_x_tr_hl
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strong sense of technical ownership and provides an excellent opportunity to work at the intersection of practical software engineering and collaborative academic research. The person we need We
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evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
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in AI. We expect an excellent publication record in areas such as automated planning, machine learning, logic or combinatorial optimization. Furthermore, candidates should have very good programming
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application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
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, mechanical engineering, or a similar field. Experience in power systems, logistics systems and vehicle modeling, as well as physical modeling and optimization, is considered meritorious. You should be clear in
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optimization of the advanced spectromicroscopy systems at the MAXPEEM beamline. Provide high-level experimental support and technical guidance to international visiting researchers (beamtime users). Research
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level in Transportation Systems, Logistics, Supply Chain Management, Industrial Engineering, Applied Mathematics or other relevant education at master's level with at least 240 higher education credits