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. The working language of the group is English, and we expect all our team members to have very strong written and oral English skills to ensure efficient communication and collaboration. Finnish language
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models. Having enthusiasm in control and a good balance between theory and practice is essential. Good programming skills also support the development of digital twins, soft sensors, ML-supported control
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should have: A Master’s degree (or equivalent) in Civil Engineering, Structural Engineering, Wood Science, or a related discipline Strong written and oral communication skills in English Experience
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(SPI, I2C, UART) Embedded System Design and Programming Problem Solving and Analytical Skills Ability in Team collaboration and technical presentation Good written and oral communication skills in
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, and metallurgical industries. In Finland, Aalto University is one of the leaders when applying these skills and educating future experts to support our society. We have a relatively generic BSc program
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Control engineering (experience with nonlinear systems is a plus) Machine learning and deep learning in context of physical systems Programming skills are required, with Python experience preferred. A good
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your own research to the extent possible as follows: Plan together with Prof. Möttönen the detailed implementation leading to the realization of the AQPU Help your peers in solving their challenges in
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Participate in meetings to discuss the AQPU plan together with the team Help your peers in solving their challenges in reaching the milestones including the supervision of BSc theses and possibly of PhD and MSc
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industrial experts. Nice to have: Proficiency in programming languages (Python, MATLAB, or similar software) for data analysis/model automation. Prior industrial collaboration or scale-up project experience
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Engineering major of the Master’s Programme in Computer, Communication and Information Sciences. In the Software Engineering track, students learn the processes, methods and techniques used in professional