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areas of Information Technology. We develop methods, theories, and technologies for digitalized data and the information centric society. Strong mathematical, algorithmic, and computational thinking and
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the following fields is considered as a plus: Vector-space formalism Constrained and unconstrained optimization Optical design with Zemax or similar software Machine learning Neural networks: DNN, CNN
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and control and software development. All topics have a heavy focus on AI-based methods (e.g., machine or deep learning) and their real-time execution on real robot systems. Research takes inspiration
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essential areas of Information Technology. We develop methods, theories, and technologies for digitalized data and the information centric society. Strong mathematical, algorithmic, and computational thinking
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estimation and data fusion, AI and machine learning techniques, collaborative positioning methods for threat localization, etc.. The researcher will participate in all the PhD-related activities (attending
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of novel biomaterials for biomedical applications would fit to our Faculty’s research portfolio. Appreciated track record could show also achievements in developing new biomaterials’ characterization methods
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Validation of Integrated Approaches (FHAIVE ) at the The Faculty of Medicine and Health Technology (MET) at Tampere University. We are seeking a highly motivated PhD student to join our research team
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Machines” in which we aim to develop methods for real-time control of magnetic fields in power and distribution transformers and rotating electrical machines. The goal is to bring new functionalities in
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Machines” in which we aim to develop methods for real-time control of magnetic fields in power and distribution transformers and rotating electrical machines. The goal is to bring new functionalities in
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, including electronics and embedded systems, microelectronics, System-on-Chip, thin-film devices and circuits, low-level software, and system design for industrial, healthcare, and consumer environments. We