11 algorithm-development-"Multiple"-"Prof"-"UNIS"-"DIFFER" positions at AALTO UNIVERSITY in United Kingdom
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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conduct research on developing educational practices and partnerships in interdisciplinary education. Engineering Education Research Group (EERG) at Department of Built Environment, Aalto School
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, developing solutions for removing and storing greenhouse gases into the built environment, and developing the life cycle assessment method for quantifying multiple cycles of using building products. Your role
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development. For example, receiving mentoring, training on large-scale computing, or possibilities of mentoring PhD/MSc students and teaching, if that is what you are looking for Opportunity to work in Finland
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and built environment technologies. We are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies
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lasers? We are now looking for a highly motivated Postdoctoral Researcher to join our team in a project to develop GaAs-based PIC lidar for space applications through the EIC project SPIDAR. In
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academic groups across Europe. ENGAGE will train a new generation of engineers through Industrial Doctorates, equipping them with cutting-edge expertise in AI, robotics, and mechanical engineering. Together
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Aalto University is looking for an Postdoctoral Researcher in Artificial Intelligence / Machine Learning Engineering [Academic Research Software Engineer] to a postdoctoral-level position. The
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in commissioning and calibration of the new triple-band radio receiver. This includes participating in the development of a single-dish data analysis pipeline for full Stokes observations and
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees