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for sustainable landscape planning and their ecological, visual and social aspects. This aim aligns with Aalto’s mission to shape sustainable futures: these environments form the spatial foundation on which
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(FQF) , and benefit from access to world-class experimental infrastructure at Aalto’s Otaniemi campus - home to OtaNano, the largest cleanroom facility in the Nordics. The position is full-time and
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practical readout approaches that support further technology development and exploration of commercial potential. Tasks and responsibilities may include (depending on your experience): Developing and testing
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benefit greatly from an early integration into the research community. And of course, you will get flexible working hours and a salary (regular research assistant pay). While the work is mostly independent
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from an early integration into the research community. And of course, you will get flexible working hours and a salary (regular research assistant pay). While the work is mostly independent, there is
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to produce world-class results, in collaboration with the other group members, and publish them in high-impact journals. In addition to research, you will also be expected to take courses as a part of your PhD
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education and fine art. We produce world-class research e.g. in design, digital media and visual culture, art education, urban planning and architecture. Our graduates innovate in and beyond their fields
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infrastructures that form a significant core of the research infrastructure: Micro-electronics and Digital and Autonomous Systems (MIDAS), Electrical Power and Energy (EPE) and Human-centric Electrical Engineering
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academic community. The preferred starting date is April 1, 2026, but it can be negotiated. As a Doctoral Researcher, you will participate in doctoral courses, conduct high-quality scientific research under
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
of uncertainty quantification techniques for the learnt models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral