27 phd-position-in-data-modeling-"UCL"-"UCL" positions at AALTO UNIVERSITY in Finland
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modules at the Department of Information and Service Management. The position is a permanent full-time lecturer position. The selected candidate is expected to start in January 2026 or as soon as possible
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option for grid connection). As outputs the model should give sustainable and optimal capacities of system components (wind power plants, electrolyzers, P2X plants, data centers, transmission system
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preprint arXiv:2506.03443. What we offer A key position in an ambitious research project with backing of research groups at the top of their fields Access to data and expertise related to the projects
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to teach courses in key areas such as computer architecture, compilers, and other topics related to hardware and low-level programming. An excellent command of English is required for teaching. This position
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mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data
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are now looking for a doctoral candidate for a PhD position at Aalto University’s Department of Architecture. In this position you will have a chance to make an impact by analysing and developing solutions
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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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Researcher to join the group. The research project is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available
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partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid Reza Godini and Prof. Riikka Puurunen , will contribute to a high-impact collaborative research environment. This position
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interactive prototypes for scenario testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in