16 phd-in-architecture-interior-design-built-environment Postdoctoral positions at AALTO UNIVERSITY in Finland
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and have a PhD in a field related to mathematical modeling and experience in optimizing industrial processes, this might be something for you! We are looking for a postdoctoral researcher (“PostDoc”) to
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Structures (FiRST). The starting date is March 1, 2026, or as mutually agreed. The positions are for a period of two years, with a possible one-year extension. Your experience We expect you to have a PhD
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include some combination of the following, with flexibility depending on interests and experience: Design and simulation of III-V lasers and PIC architectures III-V (mainly GaAs) fabrication process
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to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1 professor, 1 lecturer, 1 staff scientist
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will be in the design of new circuits, supervision of graduate students, participation to the fabrication of devices, implementing and carrying out measurements over a broad range of temperatures
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research environment of quantum technology in one of the largest innovation hubs of Nordic countries. Our research group NANO is a member of the Academy of Finland’s Center of Excellence “QTF- Quantum
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are necessary. What we offer We provide 1) RESEARCH ENVIRONMENT You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group ). We design collaborations as we go
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will be involved in the design, fabrication, and testing of functional thin film coatings. Key responsibilities include: Developing and optimizing advanced surfaces using state-of-the-art thin film
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in signal processing and control. Your role and goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating
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to pursue your own research ideas An environment where we care about your career development. For example, receiving mentoring, training on large-scale computing, or possibilities of mentoring PhD/MSc